role of crossmatch testing when luminex ‑sab is negative … · 2018-03-31 · 42 doi:...

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42 WWW.PPCH.PL DOI: 10.5604/01.3001.0011.5959 REVIEW ARTICLE Role of crossmatch testing when Luminex‑SAB is negative in renal transplantation Kumar Jayant 1 , Isabella Reccia 1 , Bridson M Julie 2 , Ajay Sharma 2 , Ahmed Halawa 2 1 Department of Surgery and Cancer; Faculty of Medicine, Hammersmith Hospital, Imperial College London, UK 2 Faculty of Health and Sciences, Institute of Learning and Teaching, University of Liverpool, Liverpool L693BX, United Kingdom Article history: Received: 20.05.2016 Accepted: 20.07.2016 Published: 28.o2.2018 ABSTRACT: The human leukocyte antigen (HLA) system plays an important role in the acceptance of renal graft. Long and better graft survival has been reported in patients with HLA-identical siblings and a nonreactive cytotoxicity assay (CDC). New methods of HLA-typing and anti-HLA antibody detection techniques such as flow cytometry, solid-phase immunoassays, or antigen bead assays have further improved the outcomes of renal transplant recipients. In the present review, the explicit details of these methodologies are discussed in detail. KEYWORDS: renal transplant, human leukocyte antigen, HLA-typing, anti-HLA antibody INTRODUCTION e human leukocyte antigen (HLA) system provides a major bar- rier to acceptance of renal transplants. In 1954, Joseph Murray et al. carried out the first successful renal transplantation between identical twins to eliminate problems related to an immune reac- tion. (1). Longer survival has been reported in patients with grafts from HLA-identical siblings and a nonreactive cytotoxicity assay (CDC) compared to patients with grafts from randomly matched, deceased donors despite similar immunosuppressive treatment (2,3,4). Over the last two decades, new methods such as flow cy- tometry, solid-phase immunoassays, or antigen bead assays such as Luminex have improved HLA-typing and anti-HLA antibody detection (5,6,7). A combined use of these newer techniques with CDC has improved immunological risk analysis (8,9). HLA ANTIGENS In 1952, Jean Dausset et al. first reported of the HLA system, i.e., the human major histocompatibility complex (MHC), after they noticed different kinds of alloantibodies against leukocytes in mul- tiple blood transfusion recipients (10). e HLA system is present on chromosome 6p. ree class I HLA molecules, i.e., HLA-A, B, and C, are expressed on all nucleated cells, and they present in- tracellular antigens. Six class II HLA molecules, i.e., HLA- DPA1, DPB1, DQA1, DQB1, DRA, and DRB1, are expressed only by an- tigen-presenting cells and lymphocytes, and they present extra- cellular antigens (11). By presenting antigens to lymphocytes, the HLA molecules help in differentiating self from non-self. e magnitude of HLA mismatch at the A, B, and DR loci predicts the risk of graft rejection in potential recipients (12,13,14,15). When matching donors and recipients, one should avoid mismatching rather than matching each HLA antigens because of homozygous presentation of antigens e.g., HLA-A2. The CDCXM was first introduced by Terasaki et al. in the 1960, and since then, it has become a standard technique to detect clinically significant donor- specific HLA antibodies (16). In CDCXM, isolated donor lymphocytes are separated into T and B cells and mixed with recipient serum. Subsequently, comple- ment derived from rabbit serum is added. If donor-specific an- tibodies bind to donor cells, the complement cascade will be activated via the classical pathway, leading to lymphocyte lysis (Figure. 1). The results are reported as the percentage of dead cells to live cells. A score of 2 is taken as the cutoff for a po- sitive result (about 20% of cells undergo lysis), while the sco- re of 8 defines complete cell lysis (Table. 1). The DCDXM is also used for semi-quantitative reaction strength assessment, by titrated crossmatch using serial serum dilutions, which co- uld be beneficial in predicting negative crossmatch following desensitization. The sensitivity of basic CDCXM is not good and depends on the living donor cells and high antibodies ti- tres (17,18). However, the sensitivity of basic CDCXM can be increased by adding antihuman globulin (AHG). T-cell CDC: T lymphocytes express only class I HLA molecules, and a positive T-cell crossmatch incurs a very poor outcome. Patel et al. studied outcomes in 30 transplant recipients with a positive T-cell crossmatch, and they reported immediate graft loss in 24 cases and early graft rejection, within 3 months, in the remaining patients. False positive reactions or lower immunogenicity of an- tigens or antibodies could cause delayed rejection (19). B-cell CDC: B lymphocytes express both class I and class II HLA molecules. B-cell crossmatching detects antibodies against class II HLA molecules. Positive results are not as decisive as in the case of T-cell crossmatching due to a higher rate of false positive results (50%) and time constraints in the case of deceased organ transplantation (20). Negative results are reassuring, i.e., even if the T-cell crossmatch is positive, this will be due to non-HLA antibodies alone (21,22). Most centres perform B-cell crossmat- ching in living donor transplant assessment. In the case of posi- tive results, the presence of DSA is better determined by more specific means such as the Luminex and flow crossmatch assays (23). However, B-cell crossmatching has many limitations as it detects only complement-activating isotypes of antibodies, requ- ires a high degree of vital donor cells, and may show false positive results due to autoantibodies present in patients with autoimmu- ne diseases (24,25,26).In the United Network of Sharing (UNOS) registry, 55% of CDCXM-positive transplant cases were FCXM- -negative (27). e present case, with a positive CDCXM and a negative FCXM, could be explained by a false positive CDCXM, a false negative FCXM, or by IgM as the responsible antibody.

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Page 1: Role of crossmatch testing when Luminex ‑SAB is negative … · 2018-03-31 · 42 DOI: 10.5604/01.3001.0011.5959 POL PRZEGL CHIR, 2018: 90 (1), 42-46 43 review article review article

4342 WWW.PPCH.PL POL PRZEGL CHIR, 2018: 90 (1), 42-46DOI: 10.5604/01.3001.0011.5959

review articlereview article

Role of crossmatch testing when Luminex‑SAB is negative in renal transplantationKumar Jayant1, Isabella Reccia1, Bridson M Julie2, Ajay Sharma2, Ahmed Halawa2

1Department of Surgery and Cancer; Faculty of Medicine, Hammersmith Hospital, Imperial College London, UK 2Faculty of Health and Sciences, Institute of Learning and Teaching, University of Liverpool, Liverpool L693BX, United Kingdom

Article history: Received: 20.05.2016 Accepted: 20.07.2016 Published: 28.o2.2018

ABSTRACT: The human leukocyte antigen (HLA) system plays an important role in the acceptance of renal graft. Long and better graft survival has been reported in patients with HLA-identical siblings and a nonreactive cytotoxicity assay (CDC). New methods of HLA-typing and anti-HLA antibody detection techniques such as flow cytometry, solid-phase immunoassays, or antigen bead assays have further improved the outcomes of renal transplant recipients. In the present review, the explicit details of these methodologies are discussed in detail.

KEYWORDS: renal transplant, human leukocyte antigen, HLA-typing, anti-HLA antibody

INTRODUCTION

The human leukocyte antigen (HLA) system provides a major bar-rier to acceptance of renal transplants. In 1954, Joseph Murray et al. carried out the first successful renal transplantation between identical twins to eliminate problems related to an immune reac-tion. (1). Longer survival has been reported in patients with grafts from HLA-identical siblings and a nonreactive cytotoxicity assay (CDC) compared to patients with grafts from randomly matched, deceased donors despite similar immunosuppressive treatment (2,3,4). Over the last two decades, new methods such as flow cy-tometry, solid-phase immunoassays, or antigen bead assays such as Luminex have improved HLA-typing and anti-HLA antibody detection (5,6,7). A combined use of these newer techniques with CDC has improved immunological risk analysis (8,9).

HLA ANTIGENS

In 1952, Jean Dausset et al. first reported of the HLA system, i.e., the human major histocompatibility complex (MHC), after they noticed different kinds of alloantibodies against leukocytes in mul-tiple blood transfusion recipients (10). The HLA system is present on chromosome 6p. Three class I HLA molecules, i.e., HLA-A, B, and C, are expressed on all nucleated cells, and they present in-tracellular antigens. Six class II HLA molecules, i.e., HLA- DPA1, DPB1, DQA1, DQB1, DRA, and DRB1, are expressed only by an-tigen-presenting cells and lymphocytes, and they present extra-cellular antigens (11). By presenting antigens to lymphocytes, the HLA molecules help in differentiating self from non-self. The magnitude of HLA mismatch at the A, B, and DR loci predicts the risk of graft rejection in potential recipients (12,13,14,15). When matching donors and recipients, one should avoid mismatching rather than matching each HLA antigens because of homozygous presentation of antigens e.g., HLA-A2.

The CDCXM was first introduced by Terasaki et al. in the 1960, and since then, it has become a standard technique to detect clinically significant donor- specific HLA antibodies (16). In CDCXM, isolated donor lymphocytes are separated into T and B cells and mixed with recipient serum. Subsequently, comple-ment derived from rabbit serum is added. If donor-specific an-

tibodies bind to donor cells, the complement cascade will be activated via the classical pathway, leading to lymphocyte lysis (Figure. 1). The results are reported as the percentage of dead cells to live cells. A score of 2 is taken as the cutoff for a po-sitive result (about 20% of cells undergo lysis), while the sco-re of 8 defines complete cell lysis (Table. 1). The DCDXM is also used for semi-quantitative reaction strength assessment, by titrated crossmatch using serial serum dilutions, which co-uld be beneficial in predicting negative crossmatch following desensitization. The sensitivity of basic CDCXM is not good and depends on the living donor cells and high antibodies ti-tres (17,18). However, the sensitivity of basic CDCXM can be increased by adding antihuman globulin (AHG).

T-cell CDC: T lymphocytes express only class I HLA molecules, and a positive T-cell crossmatch incurs a very poor outcome. Patel et al. studied outcomes in 30 transplant recipients with a positive T-cell crossmatch, and they reported immediate graft loss in 24 cases and early graft rejection, within 3 months, in the remaining patients. False positive reactions or lower immunogenicity of an-tigens or antibodies could cause delayed rejection (19).

B-cell CDC: B lymphocytes express both class I and class II HLA molecules. B-cell crossmatching detects antibodies against class II HLA molecules. Positive results are not as decisive as in the case of T-cell crossmatching due to a higher rate of false positive results (50%) and time constraints in the case of deceased organ transplantation (20). Negative results are reassuring, i.e., even if the T-cell crossmatch is positive, this will be due to non-HLA antibodies alone (21,22). Most centres perform B-cell crossmat-ching in living donor transplant assessment. In the case of posi-tive results, the presence of DSA is better determined by more specific means such as the Luminex and flow crossmatch assays (23). However, B-cell crossmatching has many limitations as it detects only complement-activating isotypes of antibodies, requ-ires a high degree of vital donor cells, and may show false positive results due to autoantibodies present in patients with autoimmu-ne diseases (24,25,26).In the United Network of Sharing (UNOS) registry, 55% of CDCXM-positive transplant cases were FCXM--negative (27). The present case, with a positive CDCXM and a negative FCXM, could be explained by a false positive CDCXM, a false negative FCXM, or by IgM as the responsible antibody.

SOLID PHASE ASSAY

Highly sensitive techniques such as enzyme-linked immunosorbent assay (ELISA) and Luminex were developed in order to address the limitation of the CDC procedure. Many laboratories have im-plemented these methods in their protocol for all tissue typing (7).

ENZYME-LINKED IMMUNOSORBENT ASSAY (ELISA)

In ELISA, purified HLA class I or class II molecules are immobi-lized on the surface of microparticles/beads. ELISA is highly sen-sitive, and allows for antibody identification in 20%-30% of cases of AHG-augmented CDC-negative antibody screening. There are many ELISA-based flow cytometry methods, such as FlowPRA or LAT-M, but they are technically complex and expensive (31).

To confirm autoantibodies as the cause of false positive results, an auto-crossmatch was needed (28).

FLOW CYTOMETRY CROSSMATCH TECHNIQUE (FCXM)

In 1983, Garovoy et al. showed that the flow crossmatching tech-nique facilitates transplantation (29). In FCXM, donor lymphocy-tes and recipient serum are mixed in order to facilitate antibody binding. Subsequently, fluorescein-tagged anti-human globulin (AHG) is added to bind the attached DSA, which are detected by flow cytometry. Detection of fluorescently labelled detection anti-bodies can identify isotype-specific antibodies. Further subtyping of IgG can also be done.

This further predicts the likelihood of complement activation as IgG4 antibodies do not activate complement in vivo (Figure. 2). Positive FCXM results are important when the CDCXM is nega-tive, i.e., positive results are likely due to a non-complement fixing antibody, a non-HLA antibody, or a low-level antibody. In non--sensitized individuals, positive results are of no significance, whi-le in sensitized individuals, they do suggest inferior graft survival. This can be explained by a higher rate of false positivity in non--sensitized individuals. Sometimes, the CDCXM is positive and a standard FCXM is negative, as in the present case scenario, which could be explained by IgM antibodies that are usually not detec-ted on standard FCXM under anti-IgG tool because IgM antibo-dies are not of pathological significance in transplant science (30).

To date, there are no clear recommendations regarding a routi-ne use of this technique but some centres use it quite often in the context of donor-specific antibody results and CDCXM in order to predict an overall likelihood of immune complications.

Tab. I. CDCXM scoring system (Source: Terasaki et al. 2005).

SCORE DEAD CELL(%) DESCRIPTION/INTENSITY OF THE REACTION

1 < 10 Negative

2 10-20 Doubtful Positive

4 20-40 Weakly Positive

6 40-80 Positive

8 80-100 Strongly Positive

Tab. II. Methods To Reduce False Reactivity (Source: Authors Personal Collection).

METHOD MECHANISM COMMENTS

Heat Inactivation Aggregation of IgM Aggregates formed may bind non-specifically

Chemical Inactivation (Dithiothreitol and Dithioerythritol)

Reduction of disulfide bonds IgM

carcinogenic agents and may cause the loss of some IgG

Hypotonic Dialysis Filtration of IgM Small amounts of IgM left in filtrates

Amos (3-Wash) and Amos- modified (1-Wash)

Elimination of anticomplementary factors

Decreases false negative CDCXM

Prolonged incubation technique

Promotion of complement fixation

Decreases false negative CDCXM

Fig. 1. Steps of CDC Crossmatch (Source: Authors own collection).

Fig. 2. Steps of the FCXM (Source: Author’s own collection).

Donor specific HLA antibodies in recipient serum: Antibody binds complement activated

Recipient Serum

May Contain donor-specific HLA antibodies

No Donor specific HLA antibodies present in recipient: No antibody binds

Donor specific HLA antibodies in recipient serum: Antibody binds

complement activated

Negative Crossmatch (no Fluorescent labelled antibodies bind)

Positive Crossmatch (Fluorescent Labelled

antibodies bind)

Donor Lymphocytes

Fluorescent labelled antibodies against human

IgG

Positive Crossmatch (cell lysis)

Negative Crossmatch (no cell lysis)No Donor specific HLA antibodies present in recipient serum: No

antibody binds

May Contain donor-specific HLA antibodies

Recipient SerumA

A

+

+

+

+

B

B

C

C

Donor Lymphocytes Complement

Page 2: Role of crossmatch testing when Luminex ‑SAB is negative … · 2018-03-31 · 42 DOI: 10.5604/01.3001.0011.5959 POL PRZEGL CHIR, 2018: 90 (1), 42-46 43 review article review article

4342 WWW.PPCH.PL POL PRZEGL CHIR, 2018: 90 (1), 42-46DOI: 10.5604/01.3001.0011.5959

review articlereview article

Role of crossmatch testing when Luminex‑SAB is negative in renal transplantationKumar Jayant1, Isabella Reccia1, Bridson M Julie2, Ajay Sharma2, Ahmed Halawa2

1Department of Surgery and Cancer; Faculty of Medicine, Hammersmith Hospital, Imperial College London, UK 2Faculty of Health and Sciences, Institute of Learning and Teaching, University of Liverpool, Liverpool L693BX, United Kingdom

Article history: Received: 20.05.2016 Accepted: 20.07.2016 Published: 28.o2.2018

ABSTRACT: The human leukocyte antigen (HLA) system plays an important role in the acceptance of renal graft. Long and better graft survival has been reported in patients with HLA-identical siblings and a nonreactive cytotoxicity assay (CDC). New methods of HLA-typing and anti-HLA antibody detection techniques such as flow cytometry, solid-phase immunoassays, or antigen bead assays have further improved the outcomes of renal transplant recipients. In the present review, the explicit details of these methodologies are discussed in detail.

KEYWORDS: renal transplant, human leukocyte antigen, HLA-typing, anti-HLA antibody

INTRODUCTION

The human leukocyte antigen (HLA) system provides a major bar-rier to acceptance of renal transplants. In 1954, Joseph Murray et al. carried out the first successful renal transplantation between identical twins to eliminate problems related to an immune reac-tion. (1). Longer survival has been reported in patients with grafts from HLA-identical siblings and a nonreactive cytotoxicity assay (CDC) compared to patients with grafts from randomly matched, deceased donors despite similar immunosuppressive treatment (2,3,4). Over the last two decades, new methods such as flow cy-tometry, solid-phase immunoassays, or antigen bead assays such as Luminex have improved HLA-typing and anti-HLA antibody detection (5,6,7). A combined use of these newer techniques with CDC has improved immunological risk analysis (8,9).

HLA ANTIGENS

In 1952, Jean Dausset et al. first reported of the HLA system, i.e., the human major histocompatibility complex (MHC), after they noticed different kinds of alloantibodies against leukocytes in mul-tiple blood transfusion recipients (10). The HLA system is present on chromosome 6p. Three class I HLA molecules, i.e., HLA-A, B, and C, are expressed on all nucleated cells, and they present in-tracellular antigens. Six class II HLA molecules, i.e., HLA- DPA1, DPB1, DQA1, DQB1, DRA, and DRB1, are expressed only by an-tigen-presenting cells and lymphocytes, and they present extra-cellular antigens (11). By presenting antigens to lymphocytes, the HLA molecules help in differentiating self from non-self. The magnitude of HLA mismatch at the A, B, and DR loci predicts the risk of graft rejection in potential recipients (12,13,14,15). When matching donors and recipients, one should avoid mismatching rather than matching each HLA antigens because of homozygous presentation of antigens e.g., HLA-A2.

The CDCXM was first introduced by Terasaki et al. in the 1960, and since then, it has become a standard technique to detect clinically significant donor- specific HLA antibodies (16). In CDCXM, isolated donor lymphocytes are separated into T and B cells and mixed with recipient serum. Subsequently, comple-ment derived from rabbit serum is added. If donor-specific an-

tibodies bind to donor cells, the complement cascade will be activated via the classical pathway, leading to lymphocyte lysis (Figure. 1). The results are reported as the percentage of dead cells to live cells. A score of 2 is taken as the cutoff for a po-sitive result (about 20% of cells undergo lysis), while the sco-re of 8 defines complete cell lysis (Table. 1). The DCDXM is also used for semi-quantitative reaction strength assessment, by titrated crossmatch using serial serum dilutions, which co-uld be beneficial in predicting negative crossmatch following desensitization. The sensitivity of basic CDCXM is not good and depends on the living donor cells and high antibodies ti-tres (17,18). However, the sensitivity of basic CDCXM can be increased by adding antihuman globulin (AHG).

T-cell CDC: T lymphocytes express only class I HLA molecules, and a positive T-cell crossmatch incurs a very poor outcome. Patel et al. studied outcomes in 30 transplant recipients with a positive T-cell crossmatch, and they reported immediate graft loss in 24 cases and early graft rejection, within 3 months, in the remaining patients. False positive reactions or lower immunogenicity of an-tigens or antibodies could cause delayed rejection (19).

B-cell CDC: B lymphocytes express both class I and class II HLA molecules. B-cell crossmatching detects antibodies against class II HLA molecules. Positive results are not as decisive as in the case of T-cell crossmatching due to a higher rate of false positive results (50%) and time constraints in the case of deceased organ transplantation (20). Negative results are reassuring, i.e., even if the T-cell crossmatch is positive, this will be due to non-HLA antibodies alone (21,22). Most centres perform B-cell crossmat-ching in living donor transplant assessment. In the case of posi-tive results, the presence of DSA is better determined by more specific means such as the Luminex and flow crossmatch assays (23). However, B-cell crossmatching has many limitations as it detects only complement-activating isotypes of antibodies, requ-ires a high degree of vital donor cells, and may show false positive results due to autoantibodies present in patients with autoimmu-ne diseases (24,25,26).In the United Network of Sharing (UNOS) registry, 55% of CDCXM-positive transplant cases were FCXM--negative (27). The present case, with a positive CDCXM and a negative FCXM, could be explained by a false positive CDCXM, a false negative FCXM, or by IgM as the responsible antibody.

SOLID PHASE ASSAY

Highly sensitive techniques such as enzyme-linked immunosorbent assay (ELISA) and Luminex were developed in order to address the limitation of the CDC procedure. Many laboratories have im-plemented these methods in their protocol for all tissue typing (7).

ENZYME-LINKED IMMUNOSORBENT ASSAY (ELISA)

In ELISA, purified HLA class I or class II molecules are immobi-lized on the surface of microparticles/beads. ELISA is highly sen-sitive, and allows for antibody identification in 20%-30% of cases of AHG-augmented CDC-negative antibody screening. There are many ELISA-based flow cytometry methods, such as FlowPRA or LAT-M, but they are technically complex and expensive (31).

To confirm autoantibodies as the cause of false positive results, an auto-crossmatch was needed (28).

FLOW CYTOMETRY CROSSMATCH TECHNIQUE (FCXM)

In 1983, Garovoy et al. showed that the flow crossmatching tech-nique facilitates transplantation (29). In FCXM, donor lymphocy-tes and recipient serum are mixed in order to facilitate antibody binding. Subsequently, fluorescein-tagged anti-human globulin (AHG) is added to bind the attached DSA, which are detected by flow cytometry. Detection of fluorescently labelled detection anti-bodies can identify isotype-specific antibodies. Further subtyping of IgG can also be done.

This further predicts the likelihood of complement activation as IgG4 antibodies do not activate complement in vivo (Figure. 2). Positive FCXM results are important when the CDCXM is nega-tive, i.e., positive results are likely due to a non-complement fixing antibody, a non-HLA antibody, or a low-level antibody. In non--sensitized individuals, positive results are of no significance, whi-le in sensitized individuals, they do suggest inferior graft survival. This can be explained by a higher rate of false positivity in non--sensitized individuals. Sometimes, the CDCXM is positive and a standard FCXM is negative, as in the present case scenario, which could be explained by IgM antibodies that are usually not detec-ted on standard FCXM under anti-IgG tool because IgM antibo-dies are not of pathological significance in transplant science (30).

To date, there are no clear recommendations regarding a routi-ne use of this technique but some centres use it quite often in the context of donor-specific antibody results and CDCXM in order to predict an overall likelihood of immune complications.

Tab. I. CDCXM scoring system (Source: Terasaki et al. 2005).

SCORE DEAD CELL(%) DESCRIPTION/INTENSITY OF THE REACTION

1 < 10 Negative

2 10-20 Doubtful Positive

4 20-40 Weakly Positive

6 40-80 Positive

8 80-100 Strongly Positive

Tab. II. Methods To Reduce False Reactivity (Source: Authors Personal Collection).

METHOD MECHANISM COMMENTS

Heat Inactivation Aggregation of IgM Aggregates formed may bind non-specifically

Chemical Inactivation (Dithiothreitol and Dithioerythritol)

Reduction of disulfide bonds IgM

carcinogenic agents and may cause the loss of some IgG

Hypotonic Dialysis Filtration of IgM Small amounts of IgM left in filtrates

Amos (3-Wash) and Amos- modified (1-Wash)

Elimination of anticomplementary factors

Decreases false negative CDCXM

Prolonged incubation technique

Promotion of complement fixation

Decreases false negative CDCXM

Fig. 1. Steps of CDC Crossmatch (Source: Authors own collection).

Fig. 2. Steps of the FCXM (Source: Author’s own collection).

Donor specific HLA antibodies in recipient serum: Antibody binds complement activated

Recipient Serum

May Contain donor-specific HLA antibodies

No Donor specific HLA antibodies present in recipient: No antibody binds

Donor specific HLA antibodies in recipient serum: Antibody binds

complement activated

Negative Crossmatch (no Fluorescent labelled antibodies bind)

Positive Crossmatch (Fluorescent Labelled

antibodies bind)

Donor Lymphocytes

Fluorescent labelled antibodies against human

IgG

Positive Crossmatch (cell lysis)

Negative Crossmatch (no cell lysis)No Donor specific HLA antibodies present in recipient serum: No

antibody binds

May Contain donor-specific HLA antibodies

Recipient SerumA

A

+

+

+

+

B

B

C

C

Donor Lymphocytes Complement

Page 3: Role of crossmatch testing when Luminex ‑SAB is negative … · 2018-03-31 · 42 DOI: 10.5604/01.3001.0011.5959 POL PRZEGL CHIR, 2018: 90 (1), 42-46 43 review article review article

WWW.PPCH.PL 4544 POL PRZEGL CHIR, 2018: 90 (1), 42-46

review articlereview article

which helps in antibody titre correlation. The most commonly used MESF cutoff is 1,000 although studies have shown that MESF valu-es well above this level can be associated with a negative CDCXM. Even if there is no reaction on crossmatching, DSA presence on Luminex may have a prognostic significance for the transplanted kidney (37). Studies have reported that recipients with donor-spe-cific anti-HLA antibodies have worse graft survival compared to recipients with non-donor specific anti-HLA antibodies, which is still worse than no DSA (38,39). The main advantage of the Lumi-nex technique is its ability to detect specific antibodies, which eli-minates the risk of false positivity. However, the Luminex techni-que has some limitations as well; for instance, incomplete or varied antigen representation on beads or presence of IgM antibodies can affect results (40,41). False negative results are also reported in the case of high HLA antibody titres due to the prozone effect or IgM antibodies, which hinders anti-HLA antibody binding to beads, or due to epitope sharing between different antigen beads (42).

PANEL REACTIVE ANTIBODIES (PRA)

In an analysis of panel reactive antibodies (PRA), recipient serum is mixed with a panel of lymphocytes representing a potential donor HLA makeup. The result is reported as the percentage of PRA reactions (%PRA). In non-sensitized candidates, it is 0, and if candidate’s serum reacts in 80 out of 100 cases, it is 80%. Cli-nically, this result is interpreted as a high likelihood of rejection, i.e., 8 out of 10 times. Technological advancement has improved the determination of antibody specificity. Maintaining records of antigens increases the efficiency of organ allocation by screening off incompatible donors; otherwise, recipients would be at a high risk of hyperacute rejection. The frequency of unacceptable anti-gens in the national donor pool can be used for determination of calculated panel reactive antibodies (CPRA), i.e., the likelihood of incompatibility, by using a computer-based algorithm (43,44).

CONCLUSION

We evaluated the effect of DSA positivity in the case of a negative CDCXM. However, there are few report regarding the impact of DSA negativity in the case of a positive CDCMX. In 2011, Amico et al. reported an excellent graft outcome with a negative virtual crossmatch (39). Few anecdotal reports exist in which a desensiti-zation protocol was used for such cases. Furthermore, even post--desensitization, there was no change in tissue matching status; thus, it was not needed. However, either omission of a positive CDC crossmatch or choosing desensitization is the clinician’s discretion.

LUMINEX- SAB (SINGLE ANTIGEN BEAD)

Luminex technique uses antigen coated beads (microspheres) with either multiple HLA antigens for screening purposes or a single HLA antigen in order to increase specificity (32). This technique has been used in many ways as in determining the specific anti--HLA antibodies or virtual crossmatching. These coated beads with unique fluorochrome are mixed with recipient serum. When anti-HLA antibodies present in serum bind to the beads and are detected by an isotype- specific (e.g. IgG) detection antibody via flow cytometry they fluoresce. (Figure. 3) Antibodies are defined against HLA class I and II antigens (33). This virtual crossmatch is used as the reference for comparison of the anti- HLA antibodies of the recipient, with the HLA of the donor. Amajor advantage of the Luminex-SAB is that, in the case of negative results, one co-uld omit CDCXM testing, which reduces cold ischemia time and the need of immunosuppression. False positive results are among the major limitation of the Luminex-SAB; they are due to techni-cal reasons as they do not detect all HLA-directed antibodies but only those against the most common HLA molecules (34,35,36).

The results are reported as molecules of equivalent soluble fluore-scence (MESF) and can be graded into weak, moderate, or strong,

renal transplantation: prospects and limitations of new assays. Vol. 138, Swiss Medical Weekly. 2008. p. 472-6.

9. Amico P, Honger G, Steiger J, Schaub S. Utility of the virtual crossmatch in solid organ transplantation. Curr Opin Organ Transplant. 2009;14(6):656-61.

10. Payne R, Tripp M, Weigle J, Bodmer W, Bodmer J. A new leukocyte isoantigen system in man. Cold Spring Harb Symp Quant Biol. 1964;29:285-95.

11. Schonemann C, Groth J, Leverenz S, May G. HLA class I and class II antibo-dies: monitoring before and after kidney transplantation and their clinical re-levance. Transplantation. 1998;65(11):1519-23.

12. Opelz G. Correlation of HLA matching with kidney graft survival in patients with or without cyclosporine treatment. Transplantation [Internet]. 1985;40(3):240-3. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3898488

13. Gilks WR, Bradley BA, Gore SM, Klouda PT. Substantial benefits of tissue mat-ching in renal transplantation. Transplantation [Internet]. 1987;43(5):669-74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3554659

14. Doxiadis IIN, de Fijter JW, Mallat MJK, Haasnoot GW, Ringers J, Persijn GG, et al. Simpler and equitable allocation of kidneys from postmortem do-nors primarily based on full HLA-DR compatibility. Transplantation [Inter-net]. 2007;83(9):1207-13. Available from: http://www.ncbi.nlm.nih.gov/pub-med/17496537

15. Doxiadis IIN, Smits JMA, Schreuder GMT, Persijn GG, Van Houwelingen HC, Van Rood JJ, et al. Association between specific HLA combinations and proba-bility of kidney allograft loss: The taboo concept. Lancet. 1996;348(9031):850-3.

16. TERASAKI PI, MCCLELLAND JD. MICRODROPLET ASSAY OF HUMAN SERUM CYTOTOXINS. Nature. ENGLAND; 1964 Dec;204:998-1000.

17. Mulley WR, Kanellis J. Understanding crossmatch testing in organ transplan-tation: A case-based guide for the general nephrologist. Nephrology (Carlton). Australia; 2011 Feb;16(2):125-33.

18. Terasaki PI, Cai J. Humoral theory of transplantation: Further evidence. Vol. 17, Current Opinion in Immunology. 2005. p. 541-5.

19. Patel R, Terasaki PI. Significance of the positive crossmatch test in kidney transplantation. N Engl J Med. UNITED STATES; 1969 Apr;280(14):735-9.

20. Le Bas-Bernardet S, Hourmant M, Valentin N, Paitier C, Giral-Classe M, Curry S, et al. Identification of the antibodies involved in B-cell crossmatch positivity in renal transplantation. Transplantation. United States; 2003 Feb;75(4):477-82.

21. Mahoney RJ, Taranto S, Edwards E. B-Cell crossmatching and kidney allograft outcome in 9031 United States transplant recipients. Hum Immunol. United States; 2002 Apr;63(4): 324-35.

22. Pollinger HS, Stegall MD, Gloor JM, Moore SB, Degoey SR, Ploeger NA, et al. Kidney transplantation in patients with antibodies against donor HLA class II. Am J Transplant. Denmark; 2007 Apr;7(4):857-63.

23. Eng HS, Bennett G, Tsiopelas E, Lake M, Humphreys I, Chang SH, et al. Anti--HLA donor-specific antibodies detected in positive B-cell crossmatches by Lu-minex predict late graft loss. Am J Transplant. Denmark; 2008 Nov;8(11):2335-42.

24. Schlaf G, Pollok-Kopp B, Schabel E, Altermann W. Artificially Positive Cros-smatches Not Leading to the Refusal of Kidney Donations due to the Usage of Adequate Diagnostic Tools. Case Rep Transplant [Internet]. 2013;2013:746395. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?arti-d=3625552&tool=pmcentrez&re ndertype=abstract

25. Sumitran-Holgersson S. HLA-specific alloantibodies and renal graft outcome. Nephrol Dial Transplant. 2001;16(5):897-904.

26. Schlaf G, Pollok-Kopp B, Manzke T, Schurat O, Altermann W. Novel solid phase-based ELISA assays contribute to an improved detection of anti-HLA antibodies and to an increased reliability of pre- and post-transplant crossmat-ching. NDT Plus. England; 2010 Dec;3(6):527-38.

27. Graff RJ, Xiao H, Duffy B, Schnitzler MA, Axelrod D, Lentine KL. Transplan-tation with positive complement-dependent microcytotoxicity crossmatch in contemporary kidney transplantation: Practice patterns and associated outcomes. Saudi J Kidney Dis Transpl. Saudi Arabia; 2012 Mar;23(2):234-45.

28. Khodadadi L, Adib M, Pourazar A. Immunoglobulin class (IgG, IgM) determi-nation by dithiothreitol in sensitized kidney transplant candidates. Transplant Proc. United States; 2006 Nov;38(9):2813-5.

29. Garovoy MRRM, Bigos M, Perkins H, Colombe BFN SO. Flow cytometry ana-lysis: A high technology crossmatch technique facilitating transplantation. Transplant Proc. 1983;X(V):1939.

30. Karpinski M, Rush D, Jeffery J, Exner M, Regele H, Dancea S, et al. Flow cyto-metric crossmatching in primary renal transplant recipients with a negative anti-human globulin enhanced cytotoxicity crossmatch. J Am Soc Nephrol. United States; 2001 Dec;12(12):2807-14.

31. Gebel HM, Bray RA, Ruth JA, Zibari GB, McDonald JC, Kahan BD, et al. Flow PRA to detect clinically relevant HLA antibodies. Transplant Proc. United States; 2001;33(1- 2):477.

32. Pei R, Lee JH, Shih NJ, Chen M, Terasaki PI. Single human leukocyte antigen flow cytometry beads for accurate identification of human leukocyte antigen antibody specificities. Transplantation. 2003;75:43-9.

33. Tait BD, Hudson F, Cantwell L, Brewin G, Holdsworth R, Bennett G, et al. Re-view article: Luminex technology for HLA antibody detection in organ trans-plantation. Nephrology. 2009;14(2):247-54.

34. Bielmann D, Honger G, Lutz D, Mihatsch MJ, Steiger J, Schaub S. Pretransplant risk assessment in renal allograft recipients using virtual crossmatching. Am J Transplant. Denmark; 2007 Mar;7(3):626-32.

35. Tambur AR, Ramon DS, Kaufman DB, Friedewald J, Luo X, Ho B, et al. Percep-tion versus reality?: Virtual crossmatch--how to overcome some of the technical and logistic limitations. Am J Transplant. United States; 2009 Aug;9(8):1886-93.

36. Morris GP, Phelan DL, Jendrisak MD, Mohanakumar T. Virtual crossmatch by identification of donor-specific anti-human leukocyte antigen antibodies by solid-phase immunoassay: a 30-month analysis in living donor kidney trans-plantation. Hum Immunol. United States; 2010 Mar;71(3):268-73.

37. Mizutani K, Terasaki P, Hamdani E, Esquenazi V, Rosen A, Miller J, et al. The im-portance of anti-HLA-specific antibody strength in monitoring kidney transplant

38. patients. Am J Transplant. Denmark; 2007 Apr;7(4):1027-31.

39. Terasaki PI, Ozawa M, Castro R. Four-year follow-up of a prospective trial of HLA and MICA antibodies on kidney graft survival. Am J Transplant. Den-mark; 2007 Feb;7(2):408-15.

40. Amico P, Hirt-Minkowski P, Honger G, Gurke L, Mihatsch MJ, Steiger J, et al. Risk stratification by the virtual crossmatch: A prospective study in 233 renal transplantations. Vol. 24, Transplant International. 2011. p. 560-9.

41. Zachary AA, Lucas DP, Detrick B, Leffell MS. Naturally occurring interference in Luminex?? assays for HLA-specific antibodies: Characteristics and resolu-tion. Hum Immunol. 2009;70(7):496-501.

42. Konvalinka A, Tinckam K. Utility of HLA Antibody Testing in Kidney Trans-plantation. J Am Soc Nephrol [Internet]. 2015;26(7):1489-502.

43. Weinstock C, Schnaidt M. The complement-mediated prozone effect in the Luminex single-antigen bead assay and its impact on HLA antibody deter-mination in patient sera. Int J Immunogenet. England; 2013 Jun;40(3):171-7.

44. Vaidya S. Clinical importance of anti-human leukocyte antigen-specific antibo-dy concentration in performing calculated panel reactive antibody and virtual crossmatches. Transplantation [Internet]. 2008;85(7):1046-50.

45. Chang D, Kobashigawa J. The use of the calculated panel-reactive antibody and virtual crossmatch in heart transplantation. Curr Opin Organ Transplant. 2012;1.

REFERENCES:1. Murray JE, Tilney NL, Wilson RE. Renal transplantation: a twenty-five year

experience. Ann Surg [Internet]. 1976;184(5):565-73.

2. Zhou YC, Cecka JM. Effect of HLA matching on renal transplant survival. Clin Transpl. UNITED STATES; 1993;499-510.

3. Krieger NR, Becker BN, Heisey DM, Voss BJ, D’Alessandro AM, Becker YT, et al. Chronic allograft nephropathy uniformly affects recipients of cadaveric, nonidentical living-related, and living-unrelated grafts. Transplantation. Uni-ted States; 2003 May;75(10):1677-82.

4. Sasaki N, Idica A. The HLA-matching effect in different cohorts of kidney transplant recipients: 10 years later. Clin Transpl. United States; 2010;261-82.

5. Fuggle S V, Martin S. Tools for human leukocyte antigen antibody detection and their application to transplanting sensitized patients. Transplantation. 2008;86(3):384-90.

6. Tait BD, Susal C, Gebel HM, Nickerson PW, Zachary AA, Claas FHJ, et al. Consensus guidelines on the testing and clinical management issues associa-ted with HLA and non- HLA antibodies in transplantation. Transplantation. 2013;95(1):19-47.

7. Gebel HM, Bray RA. HLA antibody detection with solid phase assays: Great expectations or expectations too great? Vol. 14, American Journal of Trans-plantation. 2014. p. 196475.

8. Amico P, Hbonger G, Mayr M, Schaub S. Detection of HLA antibodies prior to

Fig. 3. Steps of Virtual Crossmatch (Source: Authors own collection).

Recipient Serum

May Contain donor-specific HLA antibodies

Donor specific HLA antibodies present in recipient serum

Capture Fluorescent Dye

Detection antibodies

Donor specific HLA antibodies present in recipient serum binds with specific bead

Detection antibodies binds with HLA antibodies to capture fluorescent dye bind

Panel of beads with each bead has unique dye and uniques surface HLAA

+

B

C

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which helps in antibody titre correlation. The most commonly used MESF cutoff is 1,000 although studies have shown that MESF valu-es well above this level can be associated with a negative CDCXM. Even if there is no reaction on crossmatching, DSA presence on Luminex may have a prognostic significance for the transplanted kidney (37). Studies have reported that recipients with donor-spe-cific anti-HLA antibodies have worse graft survival compared to recipients with non-donor specific anti-HLA antibodies, which is still worse than no DSA (38,39). The main advantage of the Lumi-nex technique is its ability to detect specific antibodies, which eli-minates the risk of false positivity. However, the Luminex techni-que has some limitations as well; for instance, incomplete or varied antigen representation on beads or presence of IgM antibodies can affect results (40,41). False negative results are also reported in the case of high HLA antibody titres due to the prozone effect or IgM antibodies, which hinders anti-HLA antibody binding to beads, or due to epitope sharing between different antigen beads (42).

PANEL REACTIVE ANTIBODIES (PRA)

In an analysis of panel reactive antibodies (PRA), recipient serum is mixed with a panel of lymphocytes representing a potential donor HLA makeup. The result is reported as the percentage of PRA reactions (%PRA). In non-sensitized candidates, it is 0, and if candidate’s serum reacts in 80 out of 100 cases, it is 80%. Cli-nically, this result is interpreted as a high likelihood of rejection, i.e., 8 out of 10 times. Technological advancement has improved the determination of antibody specificity. Maintaining records of antigens increases the efficiency of organ allocation by screening off incompatible donors; otherwise, recipients would be at a high risk of hyperacute rejection. The frequency of unacceptable anti-gens in the national donor pool can be used for determination of calculated panel reactive antibodies (CPRA), i.e., the likelihood of incompatibility, by using a computer-based algorithm (43,44).

CONCLUSION

We evaluated the effect of DSA positivity in the case of a negative CDCXM. However, there are few report regarding the impact of DSA negativity in the case of a positive CDCMX. In 2011, Amico et al. reported an excellent graft outcome with a negative virtual crossmatch (39). Few anecdotal reports exist in which a desensiti-zation protocol was used for such cases. Furthermore, even post--desensitization, there was no change in tissue matching status; thus, it was not needed. However, either omission of a positive CDC crossmatch or choosing desensitization is the clinician’s discretion.

LUMINEX- SAB (SINGLE ANTIGEN BEAD)

Luminex technique uses antigen coated beads (microspheres) with either multiple HLA antigens for screening purposes or a single HLA antigen in order to increase specificity (32). This technique has been used in many ways as in determining the specific anti--HLA antibodies or virtual crossmatching. These coated beads with unique fluorochrome are mixed with recipient serum. When anti-HLA antibodies present in serum bind to the beads and are detected by an isotype- specific (e.g. IgG) detection antibody via flow cytometry they fluoresce. (Figure. 3) Antibodies are defined against HLA class I and II antigens (33). This virtual crossmatch is used as the reference for comparison of the anti- HLA antibodies of the recipient, with the HLA of the donor. Amajor advantage of the Luminex-SAB is that, in the case of negative results, one co-uld omit CDCXM testing, which reduces cold ischemia time and the need of immunosuppression. False positive results are among the major limitation of the Luminex-SAB; they are due to techni-cal reasons as they do not detect all HLA-directed antibodies but only those against the most common HLA molecules (34,35,36).

The results are reported as molecules of equivalent soluble fluore-scence (MESF) and can be graded into weak, moderate, or strong,

renal transplantation: prospects and limitations of new assays. Vol. 138, Swiss Medical Weekly. 2008. p. 472-6.

9. Amico P, Honger G, Steiger J, Schaub S. Utility of the virtual crossmatch in solid organ transplantation. Curr Opin Organ Transplant. 2009;14(6):656-61.

10. Payne R, Tripp M, Weigle J, Bodmer W, Bodmer J. A new leukocyte isoantigen system in man. Cold Spring Harb Symp Quant Biol. 1964;29:285-95.

11. Schonemann C, Groth J, Leverenz S, May G. HLA class I and class II antibo-dies: monitoring before and after kidney transplantation and their clinical re-levance. Transplantation. 1998;65(11):1519-23.

12. Opelz G. Correlation of HLA matching with kidney graft survival in patients with or without cyclosporine treatment. Transplantation [Internet]. 1985;40(3):240-3. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3898488

13. Gilks WR, Bradley BA, Gore SM, Klouda PT. Substantial benefits of tissue mat-ching in renal transplantation. Transplantation [Internet]. 1987;43(5):669-74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/3554659

14. Doxiadis IIN, de Fijter JW, Mallat MJK, Haasnoot GW, Ringers J, Persijn GG, et al. Simpler and equitable allocation of kidneys from postmortem do-nors primarily based on full HLA-DR compatibility. Transplantation [Inter-net]. 2007;83(9):1207-13. Available from: http://www.ncbi.nlm.nih.gov/pub-med/17496537

15. Doxiadis IIN, Smits JMA, Schreuder GMT, Persijn GG, Van Houwelingen HC, Van Rood JJ, et al. Association between specific HLA combinations and proba-bility of kidney allograft loss: The taboo concept. Lancet. 1996;348(9031):850-3.

16. TERASAKI PI, MCCLELLAND JD. MICRODROPLET ASSAY OF HUMAN SERUM CYTOTOXINS. Nature. ENGLAND; 1964 Dec;204:998-1000.

17. Mulley WR, Kanellis J. Understanding crossmatch testing in organ transplan-tation: A case-based guide for the general nephrologist. Nephrology (Carlton). Australia; 2011 Feb;16(2):125-33.

18. Terasaki PI, Cai J. Humoral theory of transplantation: Further evidence. Vol. 17, Current Opinion in Immunology. 2005. p. 541-5.

19. Patel R, Terasaki PI. Significance of the positive crossmatch test in kidney transplantation. N Engl J Med. UNITED STATES; 1969 Apr;280(14):735-9.

20. Le Bas-Bernardet S, Hourmant M, Valentin N, Paitier C, Giral-Classe M, Curry S, et al. Identification of the antibodies involved in B-cell crossmatch positivity in renal transplantation. Transplantation. United States; 2003 Feb;75(4):477-82.

21. Mahoney RJ, Taranto S, Edwards E. B-Cell crossmatching and kidney allograft outcome in 9031 United States transplant recipients. Hum Immunol. United States; 2002 Apr;63(4): 324-35.

22. Pollinger HS, Stegall MD, Gloor JM, Moore SB, Degoey SR, Ploeger NA, et al. Kidney transplantation in patients with antibodies against donor HLA class II. Am J Transplant. Denmark; 2007 Apr;7(4):857-63.

23. Eng HS, Bennett G, Tsiopelas E, Lake M, Humphreys I, Chang SH, et al. Anti--HLA donor-specific antibodies detected in positive B-cell crossmatches by Lu-minex predict late graft loss. Am J Transplant. Denmark; 2008 Nov;8(11):2335-42.

24. Schlaf G, Pollok-Kopp B, Schabel E, Altermann W. Artificially Positive Cros-smatches Not Leading to the Refusal of Kidney Donations due to the Usage of Adequate Diagnostic Tools. Case Rep Transplant [Internet]. 2013;2013:746395. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?arti-d=3625552&tool=pmcentrez&re ndertype=abstract

25. Sumitran-Holgersson S. HLA-specific alloantibodies and renal graft outcome. Nephrol Dial Transplant. 2001;16(5):897-904.

26. Schlaf G, Pollok-Kopp B, Manzke T, Schurat O, Altermann W. Novel solid phase-based ELISA assays contribute to an improved detection of anti-HLA antibodies and to an increased reliability of pre- and post-transplant crossmat-ching. NDT Plus. England; 2010 Dec;3(6):527-38.

27. Graff RJ, Xiao H, Duffy B, Schnitzler MA, Axelrod D, Lentine KL. Transplan-tation with positive complement-dependent microcytotoxicity crossmatch in contemporary kidney transplantation: Practice patterns and associated outcomes. Saudi J Kidney Dis Transpl. Saudi Arabia; 2012 Mar;23(2):234-45.

28. Khodadadi L, Adib M, Pourazar A. Immunoglobulin class (IgG, IgM) determi-nation by dithiothreitol in sensitized kidney transplant candidates. Transplant Proc. United States; 2006 Nov;38(9):2813-5.

29. Garovoy MRRM, Bigos M, Perkins H, Colombe BFN SO. Flow cytometry ana-lysis: A high technology crossmatch technique facilitating transplantation. Transplant Proc. 1983;X(V):1939.

30. Karpinski M, Rush D, Jeffery J, Exner M, Regele H, Dancea S, et al. Flow cyto-metric crossmatching in primary renal transplant recipients with a negative anti-human globulin enhanced cytotoxicity crossmatch. J Am Soc Nephrol. United States; 2001 Dec;12(12):2807-14.

31. Gebel HM, Bray RA, Ruth JA, Zibari GB, McDonald JC, Kahan BD, et al. Flow PRA to detect clinically relevant HLA antibodies. Transplant Proc. United States; 2001;33(1- 2):477.

32. Pei R, Lee JH, Shih NJ, Chen M, Terasaki PI. Single human leukocyte antigen flow cytometry beads for accurate identification of human leukocyte antigen antibody specificities. Transplantation. 2003;75:43-9.

33. Tait BD, Hudson F, Cantwell L, Brewin G, Holdsworth R, Bennett G, et al. Re-view article: Luminex technology for HLA antibody detection in organ trans-plantation. Nephrology. 2009;14(2):247-54.

34. Bielmann D, Honger G, Lutz D, Mihatsch MJ, Steiger J, Schaub S. Pretransplant risk assessment in renal allograft recipients using virtual crossmatching. Am J Transplant. Denmark; 2007 Mar;7(3):626-32.

35. Tambur AR, Ramon DS, Kaufman DB, Friedewald J, Luo X, Ho B, et al. Percep-tion versus reality?: Virtual crossmatch--how to overcome some of the technical and logistic limitations. Am J Transplant. United States; 2009 Aug;9(8):1886-93.

36. Morris GP, Phelan DL, Jendrisak MD, Mohanakumar T. Virtual crossmatch by identification of donor-specific anti-human leukocyte antigen antibodies by solid-phase immunoassay: a 30-month analysis in living donor kidney trans-plantation. Hum Immunol. United States; 2010 Mar;71(3):268-73.

37. Mizutani K, Terasaki P, Hamdani E, Esquenazi V, Rosen A, Miller J, et al. The im-portance of anti-HLA-specific antibody strength in monitoring kidney transplant

38. patients. Am J Transplant. Denmark; 2007 Apr;7(4):1027-31.

39. Terasaki PI, Ozawa M, Castro R. Four-year follow-up of a prospective trial of HLA and MICA antibodies on kidney graft survival. Am J Transplant. Den-mark; 2007 Feb;7(2):408-15.

40. Amico P, Hirt-Minkowski P, Honger G, Gurke L, Mihatsch MJ, Steiger J, et al. Risk stratification by the virtual crossmatch: A prospective study in 233 renal transplantations. Vol. 24, Transplant International. 2011. p. 560-9.

41. Zachary AA, Lucas DP, Detrick B, Leffell MS. Naturally occurring interference in Luminex?? assays for HLA-specific antibodies: Characteristics and resolu-tion. Hum Immunol. 2009;70(7):496-501.

42. Konvalinka A, Tinckam K. Utility of HLA Antibody Testing in Kidney Trans-plantation. J Am Soc Nephrol [Internet]. 2015;26(7):1489-502.

43. Weinstock C, Schnaidt M. The complement-mediated prozone effect in the Luminex single-antigen bead assay and its impact on HLA antibody deter-mination in patient sera. Int J Immunogenet. England; 2013 Jun;40(3):171-7.

44. Vaidya S. Clinical importance of anti-human leukocyte antigen-specific antibo-dy concentration in performing calculated panel reactive antibody and virtual crossmatches. Transplantation [Internet]. 2008;85(7):1046-50.

45. Chang D, Kobashigawa J. The use of the calculated panel-reactive antibody and virtual crossmatch in heart transplantation. Curr Opin Organ Transplant. 2012;1.

REFERENCES:1. Murray JE, Tilney NL, Wilson RE. Renal transplantation: a twenty-five year

experience. Ann Surg [Internet]. 1976;184(5):565-73.

2. Zhou YC, Cecka JM. Effect of HLA matching on renal transplant survival. Clin Transpl. UNITED STATES; 1993;499-510.

3. Krieger NR, Becker BN, Heisey DM, Voss BJ, D’Alessandro AM, Becker YT, et al. Chronic allograft nephropathy uniformly affects recipients of cadaveric, nonidentical living-related, and living-unrelated grafts. Transplantation. Uni-ted States; 2003 May;75(10):1677-82.

4. Sasaki N, Idica A. The HLA-matching effect in different cohorts of kidney transplant recipients: 10 years later. Clin Transpl. United States; 2010;261-82.

5. Fuggle S V, Martin S. Tools for human leukocyte antigen antibody detection and their application to transplanting sensitized patients. Transplantation. 2008;86(3):384-90.

6. Tait BD, Susal C, Gebel HM, Nickerson PW, Zachary AA, Claas FHJ, et al. Consensus guidelines on the testing and clinical management issues associa-ted with HLA and non- HLA antibodies in transplantation. Transplantation. 2013;95(1):19-47.

7. Gebel HM, Bray RA. HLA antibody detection with solid phase assays: Great expectations or expectations too great? Vol. 14, American Journal of Trans-plantation. 2014. p. 196475.

8. Amico P, Hbonger G, Mayr M, Schaub S. Detection of HLA antibodies prior to

Fig. 3. Steps of Virtual Crossmatch (Source: Authors own collection).

Recipient Serum

May Contain donor-specific HLA antibodies

Donor specific HLA antibodies present in recipient serum

Capture Fluorescent Dye

Detection antibodies

Donor specific HLA antibodies present in recipient serum binds with specific bead

Detection antibodies binds with HLA antibodies to capture fluorescent dye bind

Panel of beads with each bead has unique dye and uniques surface HLAA

+

B

C

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47WWW.PPCH.PL46 DOI: 10.5604/01.3001.0011.5964POL PRZEGL CHIR, 2018: 90 (1), 47-51

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DOI:

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10.5604/01.3001.0011.5959 Table of content: https://ppch.pl/issue/11096

Copyright © 2018 Fundacja Polski Przegląd Chirurgiczny. Published by Index Copernicus Sp. z o. o. All rights reserved.

The authors declare that they have no competing interests.

The content of the journal „Polish Journal of Surgery” is circulated on the basis of the Open Access which means free and limitless access to scientific data.

This material is available under the Creative Commons - Attribution 4.0 GB. The full terms of this license are available on: http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Kumar Jayant, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, 1st Floor B Block, Ham-mersmith Hospital Campus, Du Cane Road, London W12 0NN, UK; Tel: +44 (0)20 8383 8574; Fax: +44 (0)20 8383 3212; email: [email protected]

Jayant K., Isabella Reccia I., Bridson M. J., Sharma A., Halawa A.: Role of crossmatch testing when Luminex-SAB is negative in renal transplantation; Pol Przegl Chir 2018: 90 (1): 42 - 46

Overtreatment in surgery – does it concern also the patients with ductal breast carcinoma in situ

Tomasz Nowikiewicz1ABEF, Wojciech Zegarski1EF, Iwona Głowacka‑Mrotek2EF

1Chair and Department of Surgical Oncology, Ludwik Rydygier’s Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Oncology Centre - Prof. Franciszek Łukaszczyk Memorial Hospital in Bydgoszcz, Head of the Center: Prof. Wojciech Zegarski, MD, PhD 2Department of Rehabilitation, Ludwik Rydygier’s Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Head of the Center: Prof. Wojciech Hagner, MD, PhD

Article history: Received: 10.10.2016 Accepted: 24.10.2016 Published: 28.o2.2018

ABSTRACT: Overtreatment means treatment that goes beyond current standards, and patients with any disease can be overtreated. Over-treatment is also given to patients with cancer, including those who need surgery. Overtreatment is closely related to the problem of overdiagnosis.

In patients with cancer, unnecessary surgery may cause complications and generates unnecessary costs. The size of the prob-lem of unnecessary surgery in patients with cancer can best be shown among patients with the most common cancers, which dedicated screening programs. Breast cancer patients, particularly those with pre-invasive types of the tumor, who typically have ductal carcinoma in situ (80%), are likely to undergo unnecessary surgery. We describe the most common clinical prob-lems caused by overtreating patients with ductal carcinoma in situ.

KEYWORDS: overtreatment, overdiagnosis, surgical treatment, breast cancer, ductal carcinoma in situ

The problem mentioned in the title of the study that means excessive treatment (treatment beyond therapeutic standards) may concern any form of healthcare. This phenomenon also occurs in oncology including patients with malignancies requiring surgical treatment.

Overtreatment is directly connected with overdiagnosis. The se-cond term means diagnosing a disease which would not result in symptoms (including especially patient’s death) if it remained undetected. Thus, according to the definition of „overdiagnosis”, „overtreatment” includes all the cases of treatment administered as a result of overdiagnosis.

Except for an important economic aspect (generation of signifi-cant expenses), a potentially avoidable surgery also results in con-ditions that are caused by adverse effects of operations. Therefore, the problem of overtreatment is analyzed more and more often [1].

The scale of this problem can be presented in those cancer patients who underwent surgery, by analyzing the morbidity of malignant neoplasms that are included in screening programs. It mostly re-fers to breast cancer patients and especially those with preinva-sive carcinomas. Ductal carcinoma in situ (DCIS) accounts for around 80% thereof [2].

CAUSES AND SCALE OF OVERTREATMENT

Introduction of National Breast Cancer Early Detection Programs is believed to be the most important cause of overdiagnosis (and therefore also overtreatment) of DCIS. Before these programs were implemented, DCIS constituted 3-5% of all breast cancer cases. Popularization of screening mammography increased the percentage to 20-30% of all detected types of breast cancer (Eu-rope, North America) [2-4].

An increase in overall morbidity of breast cancer also contributed to the rise in the number of DCIS cases. According to the epide-

miological data, between 1988 and 2010, it was observed that in the United Kingdom the standardized morbidity index of ductal cancer in situ significantly increased from 3.6 to 16.2 per 100 000. In invasive cancer, the difference was not so pronounced (90.9/100 000 vs. 126.2/100 000) [5]. In the same time period, a similar ten-dency in DCIS morbidity was observed also in Holland (increase from 4.9 to 22.3/100 000) [6] and Germany (the incidence of DCIS increased 7 times) [7].

More frequent detection, especially of tumors of small size, was also facilitated by technological progress in the parameters of dia-gnostic tests (introduction of digital mammography and devices with tomosynthesis mode, and popularization of magnetic reso-nance mammography) [8].

Ductal carcinoma in situ is a disease characterized by different grades [9]. According to the observations of the authors from Ha-rvard Medical School, lesion of DCIS may develop in two different ways. Progress of the disease may lead to occurrence of high-risk DCIS (extensive pure ductal carcinoma in situ). It requires simi-lar therapeutic approach as invasive breast cancer. Low-risk DCIS (indolent disease, low-grade DCIS) is the second option [10]. This type is only rarely a source of invasive high-grade cancer (G3). In-vasive G3 cancer in a patient previously diagnosed with low-risk DCIS may be considered an entirely new, primary malignant bre-ast neoplasm [11]. These conclusions are also confirmed by other authors [12, 13].

Among the above mentioned causes, administration of treatment in patients with low-risk ductal carcinomas is considered overtre-atment. It mostly concerns surgical procedures of the axillary fossa (sentinel node resection, lymphadenectomy) and overly high rate of mastectomy [14]. Therefore, according to some publications, estimated percentage of overtreatment may be as high a 52% of all DCIS cases [15-18].

However, according to many authors, overtreatment should be

Authors’ Contribution:A – Study DesignB – Data CollectionC – Statistical AnalysisD – Data InterpretationE – Manuscript PreparationF – Literature SearchG – Funds Collection