Abstract 180P
Background
Along with the prolonged survival of cancer patients in recent years comes another dilemma, multiple primary cancers (MPC), which rob cancer patients of their privilege to optimal treatments. Nonetheless, understanding the hereditary and postnatal predisposition of MPC is still in its infancy.
Methods
We included 47,550 cancer patients in UK Biobank. Hazardous and protective HLA alleles concerning MPC were recognized leveraging stepwise logistic regression, which was further validated by log-rank test and Cox proportional hazard model. Logistic regression was used to investigate the organ-specific association between HLA and MPC. Cox proportional hazard model was used to explore potential interventions.
Results
Two protective (DPA1*02:02 and DRB1*04:03) and four hazardous (A*26:01, A*24:03, DPB1*20:01 and DQB1*06:01) HLA alleles are significantly associated with MPC risk for male, whereas one protective (DRB5*01:01) and four hazardous (A*03:02, DRB1*08:03, DQB1*05:04, and DPB1*11:01) for female. Compared with patients without MPC-related HLA alleles, both male and female patients carrying protective HLA alleles have lower risk of MPC (HR, 0.67 [95% CI, 0.53-0.83] and HR, 0.84 [95% CI, 0.73-0.97], respectively), while those carrying hazardous HLA alleles have higher risk of MPC (HR, 1.31 [95% CI, 1.09-1.57] and HR, 1.55 [95% CI, 1.25-1.93], respectively). HLA alleles are associated with organ-specific MPC occurrence. Lower animal fat intake subsided (HR, 0.46 [95% CI, 0.26-0.82]) while unqualified vegetable fat intake increased MPC risk (HR, 2.23 [95% CI, 1.22-4.07]) for male cancer patients carrying hazardous HLA alleles. Lower free sugar intake subsided the risk of MPC for female patients carrying hazardous HLA alleles (HR, 0.34 [95% CI, 0.15-0.74]).
Conclusions
HLA alleles might help to understand the predisposition and organ-specific incidence of MPC. Intervention on diet could counteract the risk.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Zhongyi Dong.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
144P - Artificial intelligence supported treatment decisions for precision oncology
Presenter: Damian Rieke
Session: Poster session 01
145P - Identification of biomarkers of survival across multiple cancer types using eXplainable artificial intelligence
Presenter: Francesca Angileri
Session: Poster session 01
147P - Non-small cell lung cancer: Artificial intelligence enables the identification of survival signatures complementary to an Immunologically active gene expression signature involving previous therapies
Presenter: Pierre Saintigny
Session: Poster session 01
149P - Assessing the effect of single dose trastuzumab and pertuzumab (HP) on biological changes and pathological complete response (pCR) in ERBB2+ Breast Cancer: Results from the neoadjuvant BionHER study
Presenter: Nadia Gomez Serra
Session: Poster session 01
150P - Validation of a genomic assay in early-stage HER2+ breast cancer (BC) treated with trastuzumab and pertuzumab (HP): A correlative analysis from PHERGain phase II trial
Presenter: Antonio Llombart Cussac
Session: Poster session 01
152P - Efficacy of olaparib in advanced cancers with germline or somatic tumor mutations in BRCA1, BRCA2, CHEK2 and ATM: A Belgian precision tumor-agnostic phase II study
Presenter: Sofie Joris
Session: Poster session 01
153P - Descriptive analysis of the location of point mutations in BRCA and the risk of breast or ovarian cancer diagnosis
Presenter: Pablo Torres-Mozas
Session: Poster session 01
154P - Highly sensitive serum volatolomic biomarkers for pancreatic cancer diagnosis and prognosis
Presenter: Alfredo Martínez
Session: Poster session 01