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Association of HIF1-α gene polymorphisms with advanced non-small cell lung cancer prognosis in patients receiving radiation therapy.

ABSTRACT: We investigated the association between single nucleotide polymorphisms (SNPs) in the HIF1A gene and the prognosis of advanced non-small cell lung cancer (NSCLC) patients undergoing radiation therapy. Patient overall survival (OS) and progression-free survival (PFS) were analyzed. The rs11549465 TT genotype was associated with poor PFS (P<0.001) and OS (P=0.001). The rs2057482 TT genotype was also associated with poor PFS (P=0.002) and OS (P=0.007). Stratified analyses revealed that these associations occurred in patients with a smoking history, squamous cell carcinoma, and stage IIIA disease, as well as those receiving radiation therapy a radiation dose of ≥70 Gy. We found associations between SNPs and PFS but not OS in patients without a smoking history, other histological types, and stage IIIB disease, as well as those undergoing chemoradiotherapy with a radiation dose of <70 Gy. No associations were observed between rs11549467 or rs110873142 and NSCLC prognosis. These results suggest that HIF1A polymorphisms can be used as independent prognostic biomarkers for NSCLC patients receiving radiation therapy.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC7993740 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundLung cancer is the leading cause of cancer-related deaths. Although epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are effective for advanced non-small cell lung cancer (NSCLC) harboring EGFR mutations, some patients experience little or no response. The Glasgow prognostic score (GPS) is an inflammation-related score based on C-reactive protein (CRP) and albumin concentrations, and has prognostic value in various cancer settings. This study aimed to evaluate whether GPS could predict response of NSCLC to EGFR-TKIs.MethodsThis retrospective multicenter study evaluated patients with NSCLC harboring EGFR mutations who received EGFR-TKI monotherapy from October 2006 to December 2016. GPS values were determined using CRP and albumin concentrations from before initiation of EGFR-TKIs. The Kaplan-Meier method and Cox proportional hazard models were used to evaluate progression-free survival (PFS) and overall survival (OS).ResultsIn 214 patients, 141, 43, and two patients had GPS values of 0, 1, and 2, respectively. The GPS independently predicted the efficacy of EGFR-TKIs; good GPS (0-1) conferred significantly better PFS (hazard ratio [HR]: 0.59, 95% confidence interval [CI]: 0.38-0.96, P = 0.03) and OS (HR: 0.56, 95% CI: 0.33-0.96, P = 0.03). Multivariate analysis confirmed that a good GPS (0-1) independently predicted good PFS and OS among patients who had PS of 0-1. Good GPS (0-1) independently predicted good OS among patients receiving treatment in first-line settings.ConclusionsThe GPS independently predicted the efficacy of EGFR-TKIs for EGFR-mutated NSCLC; however, further studies are needed to validate our findings.Key pointsSIGNIFICANT FINDINGS OF THE STUDY: Glasgow prognostic score (GPS) independently predicted the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) treatment for EGFR-mutated NSCLC.What this study addsThe findings presented in this paper will help to identify patients who will be expected to experience limited or no response to EGFR-TKI treatment by using GPS.

Project description:BackgroundRadiation pneumonitis and immune-related pneumonitis have been studied independently, but little information has emerged on the interactions between radiation therapy (RT) and immune checkpoint inhibition (ICI). We examine whether RT and ICI are synergistic in causing pneumonitis.MethodsA retrospective cohort was assembled using the Surveillance, Epidemiology, and End Results-Medicare database, including Medicare beneficiaries diagnosed with American Joint Committee on Cancer 7th ed. (AJCC) stages IIIB-IV NSCLC between 2013-2017. Exposures to RT and ICI were determined by evaluating for treatment within 12 months of diagnosis (RT group and ICI group) and for a second exposure (e.g., ICI after RT) within 3 months after the first exposure (RT + ICI group). Untreated controls were matched to treated patients who were diagnosed in the same three-month window. A validated algorithm for identifying cases of pneumonitis in claims data was used to evaluate for the outcome within 6 months after treatment. The primary outcome was the relative excess risk due to interaction (RERI), a quantitative measure of additive interaction between two treatments.ResultsThere were 18,780 patients included in the analysis with 9,345 (49.8%), 7,533 (40.2%), 1,332 (7.1%), and 550 (2.9%) in the control, RT, ICI, and RT + ICI groups, respectively. Relative to controls, the hazards ratios of pneumonitis were 11.5 (95% CI: 7.9 to 17.0), 6.2 (95% CI: 3.8 to 10.3), and 10.7 (95% CI: 6.0 to 19.2) in the RT, ICI, and RT-ICI groups, respectively. The RERIs were -6.1 (95% CI: -13.1 to -0.6, P=0.97) and -4.0 (95% CI: -10.7 to 1.5, P=0.91) in the unadjusted and adjusted analyses, respectively, consistent with no evidence of additive interaction (RERI ≤0) between RT and ICI.ConclusionsIn this study of Medicare beneficiaries with advanced NSCLC, RT and ICI were, at most, additive rather than synergistic in causing pneumonitis. Pneumonitis risk in patients treated with RT and ICI is not more than could be expected from each therapy alone.

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Association of HIF1-α gene polymorphisms with advanced non-small cell lung cancer prognosis in patients receiving radiation therapy.

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