Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
LCS Study Update: Survival Outcomes Rebecca Suk Heist, MD MPH April 14, 2007 Lung Cancer Susceptibility (LCS) Study • Case-control study of lung cancer susceptibility at Massachusetts General Hospital (MGH) • Enrolling patients and controls since 1992 • MGH thoracic oncology and thoracic surgery units • Blood samples and tumor tissue collected at time of recruitment • Questionnaires for smoking, environmental exposures, diet • Informed consent obtained, including for follow-up data collection and contact Lung Cancer Survival by Clinical Stage Chest 1997; 111: 1710-7 Survival Study: Case Ascertainment in LCS • Early Stage (I – II) – 12/92 – 12/01 – Treated with surgical resection at MGH • Late Stage (IIIA – IV) – 12/92 – 7/04 – Received treatment at MGH – Initially focused on platinum-treated -> expanded to all • No other malignancy (other than non-melanoma skin cancer) in the previous five years prior to lung cancer diagnosis Clinical Outcomes in LCS • Clinical data extraction – TNM Stage – Treatment • Type of surgery • Radiation • Chemotherapy • Survival outcomes – Date of death or last known date alive • MGH tumor registry, SSDI, NDI, patient’s physician or family – Date of progression or last known date without progression • Toxicity outcomes Patient Characteristics n = 1015 Age 66 (31-89) Male Female 519 (51%) 496 (49%) Never Smoker Former Smoker Current Smoker 84 (8%) 507 (50%) 424 (42%) Pack-years 49 (0-204) Stage Characteristics n = 1015 Stage IA Stage IB 285 (28%) 163 (16%) Stage IIA Stage IIB 23 (2%) 87 (9%) Stage IIIA Stage IIIB 85 (8%) 78 (8%) Stage IV 294 (29%) Histologic Subtype n = 1015 Adenocarcinoma Squamous Cell Large Cell BAC NSCLC NOS 514 (51%) 240 (23%) 94 (9%) 87 (9%) 80 (8%) Treatment Characteristics (Stage I – II) n = 558 Type of Surgery Lobectomy Wedge/Segmentectomy Pneumonectomy Bilobectomy Sleeve Lobectomy Other 342 (61%) 144 (26%) 29 (5%) 16 (3%) 22 (4%) 5 (1%) Adjuvant radiation 43 (8%) Adjuvant chemotherapy 5 (1%) Chemotherapy included in First Regimen (Stage III – IV) n = 457 Carboplatin Cisplatin Paclitaxel Gemcitabine Navelbine Docetaxel Vinblastine 5FU Etoposide Gefitinib Erlotinib 284 105 236 53 16 13 48 56 45 12 11 Survival by Stage (I – II) 1. 00 0. 75 IA IB 0. 50 IIA IIB 0. 25 0. 00 0 2 4 6 Ov e r a l l S T RA T A : S T A GE = 1 A Su r v i v a l S T A GE = 1 B 8 t i me 10 ( year s) S T A GE = 2 A S T A GE = 2 B 12 Survival by Stage (IIIA - IV) 1. 00 0. 75 0. 50 IIIA IIIB 0. 25 IV 0. 00 0 2 4 6 Ov e r a l l S T RA T A : S T A GE = 3 A 8 Su r v i v a l t i me 10 ( year s) S T A GE = 3 B S T A GE = 4 12 14 Survival by Gender (Stage I - II) 1. 00 0. 75 F 0. 50 M 0. 25 0. 00 0 2 4 6 Ov e r a l l S T RA T A : Su r v i v a l SEX= 1 8 t i me ( year s) SEX= 2 10 12 Survival by Gender (Stage IIIA – IV) 1. 00 0. 75 0. 50 F 0. 25 M 0. 00 0 2 4 6 Ov e r a l l S T RA T A : 8 Su r v i v a l SEX= 1 t i me 10 ( year s) SEX= 2 12 14 Investigating Prognostic and Predictive Factors • Stage I and II surgically resected – Currently no adjuvant treatment, but will include with more current updates • Stage III and IV – Chemotherapy – +/- Radiation – +/- Surgery Potential Prognostic and Predictive Factors • Genetic polymorphisms – DNA repair – MMP – MDM2 • Environmental and Dietary Exposures – Smoking – Vitamin D Role of DNA repair in lung cancer outcomes? Defective DNA Repair Genetic mutations accumulate DNA damage from platinum cannot be repaired as efficently More aggressive tumor Better response Worse survival Better survival DNA repair expression and survival • Platinum-treated advanced stage: – Increased DNA repair expression has been associated with resistance to platinum chemotherapy and worse survival in multiple cancers • Early stage: – Increased DNA repair expression in tumor associated with better survival DNA Repair Polymorphisms and Survival • Stage IIIA, IIIB, IV • Platinum-treated, histologically defined NSCLC – carboplatin/taxane – cisplatin/vinca – cisplatin/etoposide – other combinations • 60% also received radiation Median Survival Genotype Median survival time (months) p ERCC2 Asp312Asn Asp/Asp Asp/Asn Asn/Asn 16.3 mo 15.2 mo 6.6 mo p = 0.003 XRCC1 Arg399Gln Arg/Arg Arg/Gln Gln/Gln 17.3 mo 11.4 mo 7.7 mo p = 0.07 ERCC1 C8092A C/C C/A + A/A 22.3 mo 13.4 mo p = 0.006 Gurubhagavatula et al, JCO 2004; 22: 2594-601 Zhou et al, Clin Cancer Res 2004; 10: 4939-43 Median survival by # variant alleles XPD and XRCC1 # pts Median survival (months) Adjusted HR (95% CI) 0 variant alleles 1 2 3 20.4 16.6 11.0 6.8 p = 0.009 Reference 0.75 (0.41 – 1.38) 1.38 (0.73 - 2.63) 2.72 (1.31 – 5.67) 26 40 24 13 Gurubhagavatula et al, JCO 2004; 22: 2594-601 Survival by DNA repair polymorphisms Gurubhagavatula et al, JCO 2004; 22: 2594-60 DNA Repair in Early Stage Lung Cancer • Patient Population – Stage I – II – Surgically resected NSCLC – No adjuvant chemotherapy or radiation • Prognostic evaluation • Individual and combined effect of DNA repair pathway gene polymorphisms – XRCC1 Arg399Gln, hOGG1 Ser326Cys, APE1 Asp148Glu, ERCC2 Asp312Asn, ERCC2 Lys751Gln, ERCC1 8092C/A DNA Repair in Early Stage Lung Cancer Genotype 5-yr Overall Survival (95% CI) XRCC1 Arg/Arg XRCC1 Arg/Gln XRCC1 Gln/Gln 57% (48-64) 57% (49-65) 62% (48-72) hOGG1 C/C hOGG1 C/G + G/G 53% (46-60) 65% (57-72) APE1 T/T APE1 T/G APE1 G/G 54% (45-63) 58% (50-65) 64% (51-74) ERCC2 Lys/Lys ERCC2 Lys/Gln ERCC2 Gln/Gln 52% (44-60) 63% (55-70) 58% (51-76) ERCC2 Asp/Asp ERCC2 Asp/Asn ERCC2 Asn/Asn 54% (46-62) 59% (51-66) 63% (48-75) ERCC1 C/C ERCC1 C/A + A/A 55% (48-62) 62% (54-69) Survival by DNA repair variant alleles 1. 00 0. 75 >5 0. 50 3-4 0. 25 0-2 0. 00 0 2 4 6 Ov e r a l l S T RA T A : v ar y 4=1 8 Su r v i v a l t i me v ar y 4=2 10 12 ( year s) v ar y 4=3 Heist et al, AACR 2007 DNA Repair and Clinical Outcomes • Looked separately at – early stage – no chemotherapy or radiation – late stage – treated with chemotherapy and/or radiation • Direction of effect of DNA repair polymorphisms opposite in early and late stages • DNA repair polymorphisms may have different roles in tumor behavior and response to chemotherapy • Consistent with findings from mRNA and IHC analysis Matrix Metalloproteinases (MMPs) • Proteolytic enzymes that degrade extracellular matrix and facilitate invasion through the basement membrane – Remodeling and degrading extracellular matrix – Angiogenesis – Mediating cell-cell adhesions • Elevated levels of MMPs have been associated with worse survival in NSCLC Polymorphisms in MMP-1,-3,-12 with potential function MMP-1 -1607 1G/2G (rs1799750) 2G higher transcriptional activity MMP-3 -1612 5A/6A (rs3025058) 5A higher transcriptional activity MMP-12 -82 A/G (rs2276109) A allele higher transcriptional activity MMP-12 1082A/G (357Asn/Ser, rs652438) location in hemopexin domain MMP Polymorphisms and Survival Genotype MMP-12 1082A/G A/A A/G + G/G Events/ Total Adjusted HR (95% CI) 157/336 Reference 30/46 1.94 (1.28 – 2.97) p = 0.002 Heist et al, Clin Cancer Res 2006; 12: 5448-53 MMP-12 1082 A/G Polymorphism and Survival 5-yr OS 62% 5-yr OS 47% Heist et al, Clin Cancer Res 2006; 12: 5448-53 MDM2 Alarcan-Vargas & Ronai, Carcinogenesis 2002; 23: 541-7 Polymorphism in MDM2 • T->G at position 309 in promoter area • Increase binding affinity of Sp1 transcription factor • G/G associated with higher MDM2 mRNA and protein levels, and inactivation of p53 pathway • Hypothesis: G/G genotype worse survival Bond et al, Cell 2004; 119: 591-602 MDM2 and Survival for Stage I – II NSCLC MDM2 5-yr OS (95% CI) Adjusted HR (95% CI) T/T T/G G/G 61% (53-69) 58% (50-66) 44% (31-57) Reference 1.10 (0.79-1.54) 1.57 (1.03-2.40) Heist et al, JCO in press MDM2 and Survival among Squamous Cell 1.00 Log rank p = 0.0001 0.75 T/T 0.50 T/G 0.25 G/G 0.00 0 T/T T/G G/G 59% STRATA: 52% 7% 2 4 6 8 10 12 Overall Survival time (years) MDM2=1 MDM2=2 MDM2=3 Heist et al, JCO in press Vitamin D Metabolism Vitamin D and Cancer • Epidemiologic studies have linked season and geographic latitude with incidence and mortality from a variety of cancers • Anti-proliferative effects – Induction of G0/G1 cell cycle arrest • VDR knock-out mice develop more tumors when exposed to carcinogens • In a mouse model, metastatic spread of Lewis lung carcinoma cells inhibited by higher serum 1,25(OH)2D Bouillon et al, J Steroid Biochem Mol Bio 2006; 102: 156-62 Nakagawa et al, Carcinogenesis 2005; 26: 429-40 Surgery Season and Dietary Vitamin D Zhou et al, CEBP 2005; 14: 2303-9 Serum Vitamin D Levels and Survival Quartiles of serum Vit D Events/Total Adjusted HR < 10.2 ng/mL 66/111 Reference 10.2 – 15.7 64/114 1.07 (0.74 – 1.53) 15.7 – 21.8 57/111 0.80 (0.55 – 1.18) > 21.8 47/111 0.74 (0.50 – 1.10) ptrend = 0.07 Zhou et al, JCO 2007; 25: 479-85 Summary • Detailed dataset of clinical information and survival outcomes in NSCLC patients • Platform for investigating prognostic/predictive markers • Candidate SNPs • Dietary/environmental factors Future Directions • Pathway based approach rather than one candidate gene – – – – – DNA repair Inflammation Angiogenesis Hormonal Cell cycle/apoptosis • Haplotype tagging SNPs • Correlation with tumor tissue levels • Tumor genomics Acknowledgements CHRISTIANI LAB – LCS GROUP David Christiani, MD Kofi Asomaning, MD Emilie Bruzelius Daisy Chiu Thea Cogan-Drew Sarada Gurubhagavatula, MD Sohee Park, PhD Xihong Lin, PhD Geoffrey Liu, MD Ariela Marshall Sal Mucci Donna Neuberg, ScD Vanessa Salas Andrea Shafer Li Su Lily Wong Wei Zhou MD, PhD MGH Tom Lynch, MD Bruce Chabner, MD John Wain, MD MGH Thoracic Oncology MGH Thoracic Surgery All the patients, physicians, surgeons, of the MGH Cancer Center ERCC1 mRNA in resected NSCLC Simon et al. Chest 2005; 127: 978-83 ERCC1 mRNA in advanced NSCLC Lord et al. Clin Cancer Res 2002; ;2286-91 ERCC1 IHC as a Predictive Marker Olaussen et al, NEJM 2006; 355: 983-91 ERCC1 IHC as Prognostic/Predictive Marker Chemotherapy n=389 5-year survival rate, Median survival Control group n=372 5-year survival rate, Median survival Hazard ratio for death CT vs. no CT ERCC1 negative tumors n=426 47% [40%-55%] 39% [32%-47%] 0.65 56 months 42 months [0.50-0.86] p = 0.002 ERCC1 positive tumors n=335 40% [32%-49%] 46% [37%-55%] 1.14 50 months 55 months [0.84-1.55] p = 0.40 Soria et al, ASCO 2006 ERCC1 and RRM1 in Stage I resected NSCLC Zheng et al, NEJM 2007; 356: 800-8