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Poster session 15

1064P - Genomic characterization of first line advanced or metastatic non-small cell lung cancer (aNSCLC) patients (pts) subgroups associated with good/bad prognosis

Date

10 Sep 2022

Session

Poster session 15

Topics

Pathology/Molecular Biology;  Molecular Oncology

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Mariano Provencio Pulla

Citation

Annals of Oncology (2022) 33 (suppl_7): S448-S554. 10.1016/annonc/annonc1064

Authors

M. Provencio Pulla1, D. Perez Parente2, B. Campos Balea3, D. Rodriguez Abreu4, H. Hasan5, S. Olson2, N. Pal5, S. Wilkinson6, F. De Oro Pulido2, P. Ruiz Gracia2, M. Cobo Dols7

Author affiliations

  • 1 Medical Oncology, Fundacion Para La Investigacion Biomedica Del Hospital Universitario Puerta De Hierro Majadahonda, 28222 - Majadahonda/ES
  • 2 Lung Cancer Squad, Roche Spain, 28042 - Madrid/ES
  • 3 Oncology, Hospital Universitario Lucus Augusti (HULA), 27003 - Lugo/ES
  • 4 Medical Oncology Department, Hospital Universitario Insular de Gran Canaria - Complejo Hospitalario Materno-Insular, 35016 - Las Palmas de Gran Canaria/ES
  • 5 Phc, Genentech - Building 40, 94080 - South San Francisco/US
  • 6 Hexagon Place, Roche Products Limited, AL7 1TW - Welwyn Garden City/GB
  • 7 Medical Oncology Dept., Hospital Regional Universitario Málaga Carlos Haya, 29010 - Malaga/ES

Resources

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Abstract 1064P

Background

Development of new therapies for lung cancer treatment has improved survival rates in aNSCLC pts. Certain pts subgroups do not benefit from these treatments and there is lacking evidence on why these show different survival outcomes. We aimed to identify an association between non-driver mutational patterns and pts subgroups of special interest.

Methods

Flatiron Clinico-Genomic and FoundationCORE® databases (US-based) were used to analyse non-driver mutations prevalence with prognostic value significantly associated with efficacy outcomes in a previous study with aNSCLC pts. Multivariable logistic regression models adjusted for key co-variates were used to evaluate the presence of non-driver mutation in four subgroups described in literature: fast progressors (FP, median progression free survival [mPFS]< 3 months), long term survivors (LTS, mPFS > 12 months), females and never-smokers.

Results

FP showed a significantly higher prevalence of STK11, KEAP1 and CDKN2A/B mutations compared with non-FP (OR > 1, Table). We observed a significantly lower prevalence of STK11, KEAP1, CDKN2A/B, and FGFR mutations (OR < 1, Table), and a higher prevalence of KRAS mutations in LTS (OR 1.43). APC (OR 0.53) and FGFR (OR 0.58) mutations were less frequent in women, while KRAS mutations were more frequent (OR 1.98). STK11 and KEAP1 mutations were significantly more prevalent in smokers (OR > 1, Table). There was a trend towards lower prevalence of FGFR and higher prevalence of HRAS in non-smokers. See table. Table: 1064P

Prevalence of selected non-driver mutations in all patients

STK11 KEAP1 CDKN2A/B
Mutated % Not mutated % OR p Mutated % Not mutated % OR p Mutated % Not mutated % OR p
Non-FP 294 1385 78.7 1.7 <0.001 180 13.1 1499 86.9 1.6 <0.001 482 31 1197 69 1.28 0.002
FP 338 21.3 945 207 1076 436 847
Non-LTS 586 1919 78.7 0.4 <0.001 346 13.1 2159 86.9 0.6 0.004 803 31 1702 69 0.71 0.003
LTS 46 21.3 411 41 416 115 342
Male 333 1267 78.7 1.1 0.48 222 13.1 1378 86.9 0.9 0.15 525 31.3 1075 68.7 0.86 0.05
Female 306 21.3 1093 169 1230 413 986
Non-smoker 16 132 78.7 2.3 0.001 5 13.1 143 86.9 4.5 <0.001 53 31.3 95 68.7 0.81 0.22
Smoker 623 21.3 2228 386 2465 885 1966

Conclusions

STK11, KEAP1 and CDKN2A/B mutations were significantly associated with fast progression. Along with FGFR mutations, these were significantly associated with a shorter survival. Women were less likely to harbour mutations in these genes, while smokers showed a higher prevalence. Our results may assist in identifying aNSCLC pts who respond better to treatment.

Clinical trial identification

Editorial acknowledgement

The authors would like to thank Dr. Víctor Latorre, at Medical Statistics Consulting, for medical writing services.

Legal entity responsible for the study

Roche Farma, S.A.

Funding

Roche Farma, S.A.

Disclosure

M. Provencio Pulla: Financial Interests, Advisory Board: Roche, Merck, BMS, AstraZeneca, Lilly, Pfizer, Bayer, Amgen, Janssen, Takeda, Sanofi; Financial Interests, Invited Speaker: Roche, Merck, BMS, Takeda; Financial Interests, Research Grant, Funding self: Roche, BMS, Takeda; Financial Interests, Research Grant, Funding institution: Roche, BMS. D. Perez Parente: Financial Interests, Full or part-time Employment: Roche. B. Campos Balea: Financial Interests, Invited Speaker: Roche, Merck, BMS, AstraZeneca, Sanofi; Financial Interests, Other, Travel/Accommodation/Expenses: Roche, BMS, Pfizer, Boehringer; Financial Interests, Invited Speaker, Travel/Accommodation/Expenses: Lilly. D. Rodriguez Abreu: Financial Interests, Advisory Board: Roche, Merck, BMS, AstraZeneca, Pfizer, Boehringer, Takeda; Financial Interests, Invited Speaker: Roche, Merck, BMS, AstraZeneca, Boehringer, Takeda; Financial Interests, Other, Travel/Accommodation/Expenses: Roche, Merck, BMS, AstraZeneca. H. Hasan: Financial Interests, Full or part-time Employment: Genentech. S. Olson: Financial Interests, Full or part-time Employment: Roche. N. Pal: Financial Interests, Full or part-time Employment: Genentech. S. Wilkinson: Financial Interests, Full or part-time Employment: Roche. F. De Oro Pulido: Financial Interests, Full or part-time Employment: Roche. P. Ruiz Gracia: Financial Interests, Full or part-time Employment: Roche. M. Cobo Dols: Financial Interests, Advisory Board: Roche, BMS, AstraZeneca, Pfizer, Boehringer; Financial Interests, Other, Travel/Accommodation/Expenses: Roche, BMS, AstraZeneca.

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