new insights in the “personalized” therapy of nscl cancer paolo marchetti oncologia medica...
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New insights in the
“personalized” therapy of
NSCL cancer
Paolo MarchettiOncologia Medica
Azienda Ospedaliera Sant’Andrea
&IDI IRCCS
Roma
Highlights in the Management of NSCL cancer
June 13-14, 2008
Drug sensitivityThe Clinical Problem
• Protein and/or mRNA levels of several genes are beginning to emerge as predictive markers of chemotherapeutic efficacy in NSCLC.
• Clinical benefit from approved drugs occurs in minority of patients
• Prediction of response not currently possible for most patients and drugs
• Goal:– Selection of most effective treatment– Development of new agents
MJ Kelley, ASCO 2008
Drug sensitivityThe Clinical Problem
• Lung cancer guidelines recommend drug options as equivalent– Locally advanced NSCLC
• Cisplatin, carboplatin (--), paclitaxel, docetaxel, vinorelbine, RT + CT
– Untreated advanced NSCLC• Cisplatin, carboplatin (--), paclitaxel, docetaxel, vinorelbine,
gemcitabine, (pemetrexed), or non-platinum doublets
– Previously treted NSCLC• Docetaxel, pemetrexed, erlotinib
MJ Kelley, ASCO 2008
Drug sensitivity: The Clinical ProblemFactors Used to Individualize Cancer Treatment
• Patient factors– Age, sex, race– Performance status– Germline genetics (SNPs,
CNV, mutation)– Co-morbility
• Tumor factors– Size & stage– Histopathology– Biochemical functions (PET
scan)– Microenvironment
(hypoxia, angiogenesis)– Protein expression (IHC,
proteomics)– DNA alterations (mutation,
methylation, telomere length)
– RNA expression– Metabolites
MJ Kelley, ASCO 2008
Drug sensitivity: The Clinical ProblemFactors Used to Individualize Cancer Treatment
MJ Kelley, ASCO 2008
Targeted Therapy
• Assumes we know the target
• Assumes we know how to measure the target
• Assumes we have an agent that blocks or interferes with the target
• Assumes the agent is selective and specific for the target
Drug sensitivity: The Clinical ProblemFactors Used to Individualize Cancer Treatment
MJ Kelley, ASCO 2008
Drug sensitivity: The Clinical ProblemFactors Used to Individualize Cancer Treatment
MJ Kelley, ASCO 2008
Genes Predictive of Chemotherapeutic Efficacy in NSCLC
• ERCC1, the 5’-endonuclease of the nucleotide excision repair complex, is a molecular determinant for efficacy of platinum-based regimens.
• RRM1, the regulatory subunit of ribonucleotide reductase, is the molecular target of gemcitabine, and its expression levels are the key determinant of the efficacy of gemcitabine-based regimens.
• TS, the gatekeeper enzyme of thymidine production, has seemingly emerged as a determinant of efficacy for not only 5-FU but also for pemetrexed.
• BRCA1, the gene important for DNA damage response, appears to increase efficacy of antimicrotubulin agents such as taxanes while simultaneously mediating resistance to DNAdamaging agents such as platinum.
P.D. – 106
A RT-qPCR-BASED THREE-GENE PROGNOSTIC CLASSIFIER FOR STAGE I
NON-SMALL-CELL LUNG CANCER
Geneva – Friday, 25 April 2008
Guido Natoli, Stefania Scarpino, Annukka Pasanen, Enrico Duranti, Cecilia Pompili, Ida Paris,
Erino Rendina, Luigi Ruco, Paolo Marchetti
(University ‘La Sapienza’ – Rome, Italy)
A RT-qPCR-based three-gene prognostic classifier for Stage I NSCLC
• Despite surgery, patients with pathologic stage I disease have nearly 65% five-year survival after surgery alone and most patients relapse at distant sites.
• However, the role of adjuvant therapy remains controversial. Consequently, the recognition of indicators capable of identifying patients with stage I NSCLC at higher risk for developing recurrent disease may help clinicians to select adjuvant treatments.
A RT-qPCR-based three-gene prognostic classifier for Stage I NSCLC
• With this aim, we evaluated the significance of three genes– ERCC1, excision repair cross-complementation group 1;– LCK, lymphocyte-specific protein tyrosin kinase;– DUSP6 dual-specifity phosphatase 6
• 26 stage I completely resected NSCLC patients using reverse transcription (RT) quantitative polymerase chain reaction (qPCR) from fresh-frozen specimens.
• Then, we evaluated the association between the level of expression and relapse-free survival (RFS) and a risk index was created.
Low Risk High Risk p Test
Age (mean ± sd) 65 ± 12 66 ± 10 0.93 t test
GenderFisher’s exact Male 10 (83%) 13 (93%) 0.58
Female 2 (17%) 1 (7%)
StageFisher’s exact IA 8 (66%) 5 (36%) 0.24
IB 4 (34%) 9 (64%)
Cell type
Chi squared
Adenocarcinoma 8 (68%) 9 (64%)0.95
Squamous cell 2 (16%) 3 (18%)
Uncertain 2 (16%) 2 (18%)
0 12 24 36 48
Months
0.0
0.2
0.4
0.6
0.8
1.0
Re
lapse
-fre
e s
urv
ival
Risk.Group=0Risk.Group=1
Low Risk Group
High Risk Group
Logrank 2p = 0.0339
Kaplan–Meier estimates of relapse-free survival of 26 patients with stage I NSCLC according to the three-gene signatures (Ercc1, Lck and Dusp-6)
as measured by RT-PCR (HR = 3.8; 95% CI = 1.10-10.05)
ERCC-1 specific immunohisto-chemical staining with the use of the 8F1 antibody
Spearman’s correlation between RT-PCR and Immuno-staining to detect ERCC-1 expression: 0.49 (p = 0.01)