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Www.oncologiapolmonare.it silvia.novello@unito.it Studies in NSCLC Based on Gender and Smoking Differences: Rationale and Outcomes Silvia Novello.

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Presentation on theme: "Www.oncologiapolmonare.it silvia.novello@unito.it Studies in NSCLC Based on Gender and Smoking Differences: Rationale and Outcomes Silvia Novello."— Presentation transcript:

1 www.oncologiapolmonare.it silvia.novello@unito.it
Studies in NSCLC Based on Gender and Smoking Differences: Rationale and Outcomes Silvia Novello University of Turin Thoracic Oncology Unit

2 Annual Age-Adjusted Cancer Death Rates Among Males/Females
for Selected Cancer Types, US, 100 20 40 60 80 100 Males Females Lung & Bronchus Colon & Rectum Stomach Stomach Colon & Rectum Ovary 80 Prostate Uterus Liver Breast Leukemia Lung & Bronchus Lung & Bronchus Pancreas Pancreas 60 Rate per 100,000 Males Rate per 100,000 Females Lung & Bronchus 40 20 1930 1950 1970 1990 2004 1930 1950 1970 1990 2004 Year of Death Year of Death CA Cancer J Clin 2004; 54:9-15

3 Model of Smoking Epidemic
Smoke kills about 50% of smokers: there are 3-4 decades between prevalence peak and mortality peak for lung cancer Lopez et al, Tobacco Control 1994

4 Lifetime Probability of Developing Cancer 1997-2001
Site Risk Site Risk All sites 1 in 2 Prostate 1 in 6 Lung & bronchus 1 in 13 All sites 1 in 3 Breast 1 in 7 Lung & bronchus 1 in 18 ACS, 2005

5 Meta-Analysis of 28 Lung Cancer Studies*
Relative Risk Ratios for Ever Smokers Relative Risk Ratio Histology * 27 case-control Khuder, Lung Cancer, 2001

6

7 Women and Lung Cancer Risk (smokers vs non-smokers)
Author Study Men Women n.cigarettes Risch case packs/yr Am J Epidemiol ’93 control Zhang case packs/yr J Natl Cancer Inst ’96 control Harris case packs/yr Int J Epidemiol ’93 control Bach cohort no difference J Natl Cancer Inst ’03 Bain cohort no difference J Natl Cancer Inst ‘04

8 Cumulative Probability of Lung Cancer Death in CPS-II Men and Women by Smoking Status
Thun et al, Oncogene, 2002

9 Women and Lung Cancer Female smokers are more likely to develop adenocarcinoma than squamous cell carcinoma Thun MJ et al:JNCI 1997; Fu JB et al: Chest 2005; Patel JD et al: JCO 2005 The BAC is two to four times more common among women than among men Thun MJ et al:JNCI 1997; Radzikowska E et al: Ann Oncol 2002; Fu JB et al: Chest 2005 Never-smokers with lung cancer have adenocarcinoma and are 2.5 times more likely to be females than males Wong MP et al: Cancer 2003 In some Asian countries never-smokers account for 70% of women with lung cancer Wong MP et al: Cancer 2003

10 Some Suggested Explanations
DNA repair capacity Gender differences in metabolism of carcinogens Differences in proliferation/growth stimulation (GRPR) Hormonal interactions

11 Host Cell Reactivation Assay
DNA Repair Capacity Host Cell Reactivation Assay Benzo[a]pyrene Acetyl CoA + Chloramphenicol Acetyl CoA + Chloramphenicol Acetyl -Chloramphenicol Test Lymphocytes

12 DRC and Risk of Lung Cancer
Variable Adjusted OR (95% CI) DRC (median) > < (1.2, 1.9) Smoking Status Never (1.0, 3.3) Former (1.0, 1.9) Current (1.2, 2.3) n = 764 cases and 677 controls Spitz et al, CEBP, 2003

13 DNA Repair Capacity Lung Cancer Cases
Variable No Mean % p-value SD for trend Age (years) < ± 2.8 ±  ± 3.2 Gender Male ± < Female ± 2.8 Spitz, CEBP, 2003

14 Induced Adduct Levels Lung Cancer Cases
Variable N Mean(%)SD P value Age (yrs) < ± ± 83.6 Gender Male ± NS Female ± 89.4 Smoking status Never ± NS Former ± Current ± 97.0 Li et al, Cancer Res 2001

15 Gender differences in metabolism of carcinogens CYP1A1
CYPA1 codes for an enzyme which activates PAH-forming DNA adducts. Significant correlation between CYP1A1 expression and DNA adduct levels (r= 0.50, p= 0.016) Female smokers had significantly higher levels of adducts/pack-year and adducts/cigarette/day than men ( vs , P= 0.015) Females had higher CYP1A1 levels than males ( units vs units, P= 0.016) Mollerup, et al; Cancer Res; 1999: 59:

16 Gender differences in metabolism of carcinogens Glutathione S-transferase (GST)
GST deactivates carcinogens; the null genotype fails to deactivate carcinogens, resulting in prolonged exposure GSTM1 null genotype associated with lung cancer (odds ratio: 2.04) Odds ratio for GSTM1 null phenotype and WT Female (CI) Male Lung cancer 2.50 ( ) 1.40 ( ) Lung cancer in smokers 3.03 ( ) 1.42 ( ) Tang, et al; Carcinogenesis, 19: , 1998

17 Differences in proliferation/growth stimulation
GRP Gastrin-Releasing Peptide (GRP): plays a role in neoplasia by stimulating cell proliferation. Its effect is mediated mainly through the GRPR. The gene for GRPR is X-linked, located on chromosome Xp22, near a cluster of genes that escape X-inactivation. Women can have two actively transcribed alleles compared with only one in men Increased expression of the GRPR gene was noted when human airway cells were exposed to oestrogens. Shriver SP 2000, JNCI

18 Differences in proliferation/growth stimulation EGFR
Characteristics Patients with mutation/total In unselected pts Adenocarcinoma 14/182 (8%) 15/152 (10%) Women with adenocarcinoma 12/83 (15%) Women non-smokers with adenocarcinoma 18/34 (53%) ASCO 2004

19 Hormonal Interactions
Early age at menopause (≤ 40 yrs) is associated with reduced risk of lung adenocarcinoma (OR=0.3) HRT is associated with  risk of adenocarcinoma (OR=1.7) Interaction between HRT, smoking and the development of lung adenocarcinoma (OR=32.4) Taioli and Wynder:JNCI 1994 Late menopause and short menstrual cycles were associated with increased risk of lung cancer Siegfried JM: The Lancet Oncology 2001  risk of lung carcinoma in women with family history of reproductive cancer Sellers: Genetic Epidem 1991

20 Hormonal Interactions
β-estradiol induces proliferation in NSCLC cells and anti-estrogens block this effect Kiuper, Endocrinology 1997 Oestrogens may be involved in lung tumorigenesis at different levels: As ER ligands activating cell proliferation Via ERs in the plasma membrane causing interactions between ERs and growth factors such as EGF and IGF (in EGFR and ER+ cells) Oestrogens may alter metabolic activation of carcinogens (modulations of CY1A1, CY1B1) Stabile: Cancer Res 2005

21 Cross-Talk Cascade of ER Activation
Growth factors Estrogen IGFR Tamoxifen EGFR / HER2 Plasma Membrane MoAb P P P P P SOS P TKI RAS PI3-K FTI RAF Cell Survival Akt SERD P MEK AI CCI P ER p90RSK MAPK To complicate matters further we also want to look at the status of co-activators and repressors as part of the analysis of signalling pathways. P P Cytoplasm Cell Growth p160 ER CBP Basal Transcription Machinery ERE P ER Target Gene Transcription P Nucleus Johnston, S. 2004

22 Relative Ki67 Expression Stabile, et al. Cancer Res, 2005
Decreased Cell Proliferation in Lung Tumors Treated with Gefitinib and Fulvestrant 120 100 80 * Relative Ki67 Expression 60 ** 40 ** 20 control fulvestrant gefitinib fulvestrant + gefitinib Treatments P-value compared to control: *<0.05, **<0.005 Stabile, et al. Cancer Res, 2005

23 Eligibility: 2 or more prior chemo regimens
UW/UPitt Pilot Study of Gefitinib + Faslodex in Post-menopausal Women with Advanced Recurrent NSCLC Eligibility: 2 or more prior chemo regimens Treatment: 250 mg gefitinib mg Faslodex IM monthly Objectives: response rate, TTP, survival Laboratory Objectives: - ER and EGFr - CYP3A polymorphisms Traynor AM, Schiller J, JCO 2005

24 Hormone Replacement Therapy and Lung Cancer Risk
Some positive Type of Study N Risk of lung Ca with HRT 95% CI Taioli, JNCI, 1994 Case control 180 1.7 All studies derived from secondary data or exploratory analysis

25 Hormone Replacement Therapy and Lung Cancer Risk
Some show no increase in risk Type of Study N Risk of lung Ca with HRT 95% CI Adams,Int J Cancer, 1989 Cohort study 23,244 1.3 Wu, Cancer Res, 1998 Case control 336 Women's Health Initiative, JAMA, 2002 Cohort 16,690 1.04 Blackman, Pharmacoepidemiol Drug Saf, 2002 Case Control 662 1.0 All studies derived from secondary data or exploratory analysis

26 Hormone Replacement Therapy and Lung Cancer Risk
Some show REDUCED risk of lung cancer with HRT Type of study N Risk of lung Ca with HRT 95% CI Ettinger, Ob Gynecol, 1996 454 0.78 Krenzer, 1993 Case control 1723 0.83 Olson, Ob Gyne, 1993 Cohort 29,508 0.24 Schabath, Clin Ca Res, 2004 Case Control 1008 0.66 All studies derived from secondary data or exploratory analysis

27 Sex as a predictive factor
Study N Unfavorable in Multivariate Analysis Radzikowska ( ) , Male, poor PS, advanced Polish population, all stage, non surgical treatment, >50 yrs, SCLC Ouellete ( ) Male, advanced stage French population, cohort Moore ( ) , Male, age >65, advanced Single institution, all stage, large cell, no surgery Visbal ( ) , Male, older age, high grade, Single institution, advanced stage, treatment, consecutive cohort adenocarcinoma* Relative risk (RR) of death for MEN = 1.15 (p=0.001) NO differences in overall mean survival BUT women lived longer at each stage Overall median survival 12.4 mo vs 10.3mo (p<.001) and survival advantage for all stages RR for MEN= 1.2 *smoking status/dose, comorbidy interaction with cause of death, not significant

28 NSCLC: completely resected diseases
Author # Women Survival MinamiR (#1242 consec ) [adavntage also for st I &III, adenoca & > 60yrs] FergusonR (#451) AlexiouP (#833) UK 337 186 252 5yr 69% p<.005 st I OS 109vs50 mo p .008 5yr 48%vs36.5% p<0.01 OS p

29 NSCLC: completely resected diseases
EVEN CONSIDERING OTHER DEATH CAUSES 2.1 Bouchardy, et al. Cancer, 1999

30 ALPI Multivariate Analysis
Variable HR 95% CI P Value Age (5-yr interval) 1.06 .051 Stage II III 2.00 3.15 .0001 Histology-Squamous 0.86 .094 Gender – Male(86%) 1.32 .034 Complete Dissection 0.89 .164 Chemotherapy 0.96 .566 Similar Data from UFT, Kato et al. Scagliotti GVS, JNCI 2003

31 NSCLC: locally advanced disease
Werner WasikR (RTOG) #1,999 - 9 studies OS 11.4 vs 9.9 mo AlbainP (SWOG) #126 st IIIA, IIIB OS 21 vs 12 mo (p0.08) AlbainP (RTOG 93-09) #429 (35%) st IIIA > OS in women (p=0.051)

32 NSCLC: advanced disease*
Favourable factors in Group N Stage multivariate analysis MemorialR IIIB/IV Women, normal LDH , (O’Connell et al) good PS, no bone mts, ≤ 2 sites mts ECOGR IV Women, PS 0, no bone mts, (Finkelstein et al) no liver mts, trials no weight loss, non-large cell istol. SWOGR , IV Women, PS 0-1, (Albain et al) “cisplatin-based” therapy, 13 trials age ≤ 70 yrs male female P Value MULTIVARIATE 1 yr survival rate 16% 26% 0.005 male female P Value MULTIVARIATE median survival 8.8 mo 12.4 mo 0.001 Women is a strong indipendent factor for improved survival *first and second generation chemotherapy

33 ECOG 1594 Study # Pts St. IV,% ORR,% MST (mos.) G4 ANC,% Plts,%
Neuro,% ECOG 1594 DDP-TAX DDP-GEM DDP-TXT Cb-TAX 292 288 293 290 91 21.3 21 17.3 15.3 8.1 7.4 8.3 57 39 49 43 2 29 1 5 9 10 HA Wakelee JTO 2006

34 Patient outcomes for ECOG 1594
Women (433) Men (726) P value Response rate (%) Median PFS (mo) Median survival time (mo) 19 3.8 9.2 mo 3.5 7.3 0.99 0.022 0.004 - Separately for each arm, trend for improved survival mantained; statistical significance was LOST HA Wakelee JTO 2006

35 Toxicity all grade in ECOG 1594
Women (431) Men (726) P value Nausea (%) Vomiting (%) Alopecia (%) Neurosensory (%) Neuropsychiatric (%) Cardiac Toxicity ≥ g3 (%) 83 65 64 49 22 4.1 70 52 53 42 14 7.6 <0.0001 0.0003 0.02 0.001 HA Wakelee JTO 2006

36 Bevacizumab in Advanced NSCLC: Efficacy by Gender
Parameter Males Females PC (n=230) PCB (n=191) (n=162) (n=190) OS, mo 8.7 11.7* 13.1 13.3 PFS, mo 4.3 6.3* 5.3 6.2* RR, % 16 29* 14 41* *Statistically significant No survival benefit for females despite 4-fold increase in RR and statistically significant difference for PFS A number of potential explanations (eg, statistical chance, imbalance of unmeasured prognostic factors, or a true difference) Brahmer et al. J Clin Oncol. 2006;24(No 18S):373s. Abstract 7036.

37 Survival by Treatment - Males
J Brahmer ASCO 2006

38 Survival by Treatment - Females
J Brahmer ASCO 2006

39 Vandetanib (ZD6474) With Carboplatin and Paclitaxel as First-Line NSCLC Therapy: Schema
Run-In Phase Randomized Phase Vandetanib 200 mg Paclitaxel 200 mg/m2 Carboplatin AUC 6 mg/mL·min (n=15) Vandetanib 300 mg (n=73) [discontinued] Vandetanib 300 mg Paclitaxel 200 mg/m2 Carboplatin AUC 6 mg/mL·min (n=56) First-Line NSCLC First-Line NSCLC Vandetanib 300 mg Paclitaxel 200 mg/m2 Carboplatin AUC 6 mg/mL·min (n=10) ZD6474 With Carboplatin and Paclitaxel as First-Line NSCLC Therapy: Trial Design The clinical value of ZD6474 alone and in combination with carboplatin and paclitaxel (CP) as first-line therapy is being assessed in an ongoing, randomized, double-blind study of patients with previously untreated, locally advanced (stage IIIB) or metastatic (stage IV) NSCLC A safety run-in phase was conducted to establish the appropriate dose of ZD6474 to be administered in combination with CP, consisting of 21-day treatment periods in which subjects received daily oral doses of ZD6474 (200 mg or 300 mg) in combination with CP (carboplatin, target AUCss = 6 mg/mL·min; paclitaxel, 200 mg/m2 IV). After 6 subjects in the ZD mg dose group completed at least 6 weeks of treatment with no safety concerns, additional patients were enrolled at the ZD mg dose level Placebo Paclitaxel 200 mg/m2 Carboplatin AUC 6 mg/mL·min (n=52) Objectives: Appropriate Dose in Combination Therapy, Pharmacokinetics, Survival Heymach et al., IASLC 2005, Abstract P-497 Heymach et al., ASCO 2007, Abstract 7544 Heymach J, West H, Kerr R, et al. ZD6474 in combination with carboplatin and paclitaxel as first-line treatment in patients with NSCLC: results of the run-in phase of a two-part randomized phase II study. Lung Cancer. 2005;49(suppl 2):S247-S248. Absract P-497.

40 Vandetanib With Carboplatin and Paclitaxel (CP) as First-Line NSCLC Therapy: Efficacy
Vandetanib/CP n = 56 Placebo/CP n = 52 HR P Value ORR 32% 25% - Median OS 10.2 months 11.9 months 1.07 .595 Median PFS 24.0 weeks 23.1 weeks 0.76 .098* Exploratory Analysis (females) n = 17 n = 15 28.6 weeks 11.7 weeks 0.47 .037 ≥ 8.6 months 5.8 months 0.52 .113 No significant differences in PFS or OS based on histology were observed. *Met prespecified significance level of P < .2 Heymach et al., ASCO 2007, Abstract 7544

41 ZD6474 plus docetaxel vs docetaxel in previously treated NSCLC
A randomized, double-blind, two-part, multicenter study Run-in phase Randomized phase* ZD mg Docetaxel 75 mg/m2 n=42 ZD mg Docetaxel 75 mg/m2 n=4 ZD mg Docetaxel 75 mg/m2 n=44 2nd-line NSCLC 2nd-line NSCLC ZD mg Docetaxel 75 mg/m2 n=11 Placebo Docetaxel 75 mg/m2 n=41 JV Heymach, ASCO 2006

42 Males vs females: exploratory analysis
Hazard ratios and 95% confidence intervals ZD mg + doc (n=42) vs placebo + doc (n=41) ZD mg + doc (n=44) vs placebo + doc (n=41) Time to progression Time to death Males Females All patients ZD mg + doc (n=42) vs placebo + doc (n=41) ZD mg + doc (n=44) vs placebo + doc (n=41) JV Heymach, ASCO 2006

43 EGFR Tyrosine Kinase Inhibitors Second and Third Line Therapy
Work better in women than men Gefitinib and erlotinib studies: females  RR, more symptom improvement, longer OS (univariate), but no difference in benefit phase III study erlotinib Biologic basis for difference by sex complex: interactions with frequency of activating mutations, EGFR+ (by IHC/amplification), adenocarcinoma or BAC histology, non-smoking status

44 EGFR Tyrosine Kinase Inhibitors
Female sex is predictive of response: - Symptoms improvement: 50% vs 31% (p 0.006) - Radiographic regression: 19% vs 3% (p=0.001) with 82% of responses among women Kris MG, JAMA 2003

45 BR.21 Trial: Overall Survival by Gender
_____ Erlotinib Female _____ Placebo Female _____ Erlotinib Male _____ Placebo Male Interaction p = n.s. Months Shepherd, NEJM, 2005

46 Is there an interaction between the ER and EGFr pathways?
EGFR protein expression is down-regulated in response to estrogen EGFR protein expression is up-regulated when estrogen is depleted Suggests “cross-talk” between these two pathways

47 Paclitaxel Poliglumex (PPX)
Macromolecule that combines paclitaxel with poly-L- glutamic acid Into the cell broken in its active form by cathepsin B (regulated by estrogen) minimize systemic exposure & prolong exposure to active drug

48 Paclitaxel 225 mg/mq + CBDCA AUC 6 Q3w ELIGIBILITY CRITERIA chemonaive
STELLAR 3 PPX 210 mg/mq + CBDCA AUC Q3w versus Paclitaxel 225 mg/mq + CBDCA AUC Q3w ELIGIBILITY CRITERIA chemonaive advanced NSCLC PS2 STRATIFIED BY disease stage sex brain mts geography The composite analysis of STELLAR 3 and 4 shows a statistically significant survival benefit for women receiving PPX (p=0.03) The presence of estrogen appear to make PPX a more effective drug PIONEER (Paclitaxel Poliglumex Investigating Outcomes in NSCLC: Establishig Estrogen Response) study is ongoing STELLAR 4 PPX 175 mg/mq Q3w versus GMC 1200 mg/mq d1,8,15 Q4w OR NVB 30 mg/mq d 1,8,15 Q3w Ross H, ASCO 2006

49 SCLC: limited disease Albain (10 SWOG trials from 1976 to1988) male
Favourable factors in Group N Multivariate analysis Danish Cox: women, good PS, (Osterlind et al) normal sodium e uric acid CALGB R Cox: women, good PS, (Spiegelman et al) age <60 yrs SWOG R , Cox: women, PS 0-1, caucasian, (Albain et al) conc. CT/RT, LDH 1, RPA: women, LDH nn, no pleural effusion,age<70 yrs Albain (10 SWOG trials from 1976 to1988) male female MST LD ED 17.7mo no 24.4mo differences

50 Small Cell Lung Cancer Survival by Sex: retrospective review (4 trials)
Singh, S. et al. J Clin Oncol; 23:

51 SCLC: Toxicity and outcomes by sex
1006 Patients (648 m, 358 f) on 4 trials of similar chemotherapy No difference in treatment delivered or toxic deaths, but greater treatment delays in females, with more toxicity (anemia, neutropenia, stomatitis, emesis) Greater toxicity females significant in multivariate model Females RR higher and overall survival (p<.0001) Singh, S. et al. J Clin Oncol; 23:

52 Conclusion A better understating of the genetic, metabolic, and hormonal factors in women represents a research priority Evidence suggests that the development of lung cancer is different in women compared with men Women with lung cancer live longer than men with lung cancer, regardless of therapy and stage Sex as stratification factor in prospective clinical trials


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