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Purpose: Large-scale sequencing efforts have established that cancer-associated genetic alterations are highly diverse, posing a challenge to the identification of variants that regulate complex phenotypes like radiation sensitivity. The impact of the vast majority of rare or common genetic variants on the sensitivity of cancers to radiotherapy remains largely unknown. Experimental Design: We developed a scalable gene editing and irradiation platform to assess the role of categories of variants in cells. Variants were prioritized on the basis of genotype–phenotype associations from a previously completed large-scale cancer cell line radiation profiling study. Altogether, 488 alleles (396 unique single-nucleotide variants) from 92 genes were generated and profiled in an immortalized lung cell line, BEAS-2B. We validated our results in other cell lines (TRT-HU1 and NCI-H520), in vivo via the use of both cell line and patient-derived murine xenografts, and in clinical cohorts. Results: We show that resistance to radiation is characterized by substantial inter- and intra-gene allelic variation. Some genes (e.g., KEAP1) demonstrated significant intragenic allelic variation in the magnitude of conferred resistance and other genes (e.g., CTNNB1) displayed both resistance and sensitivity in a protein domain-dependent manner. We combined results from our platform with gene expression and metabolite features and identified the upregulation of amino acid transporters that facilitate oxidative reductive capacity and cell-cycle deregulation as key regulators of radiation sensitivity. Conclusions: Our results reveal new insights into the genetic determinants of tumor sensitivity to radiotherapy and nominate a multitude of cancer mutations that are predicted to impact treatment efficacy.

Melioidosis is a fatal infectious disease in the tropics and subtropics. Currently, bacterial culture is the gold standard for diagnosis of the disease, but its sensitivity is relatively low. In this study, we evaluated four ELISAs using sera collected from culture-confirmed cases of melioidosis (n = 63), cases with other bacterial infections (n = 62), and healthy donors (n = 60). Antigens used for ELISAs were the whole-cell (WC) antigens and recombinant proteins of hemolysis co-regulated protein 1 (Hcp1), chaperonin GroEL1, and alkyl hydroperoxide reductase subunit C (AhpC). Using the cutoff values for optical density at 490 nm defined at a specificity of > 95%, the sensitivity of the WC, Hcp1, GroEL1, and AhpC ELISAs was 93.7%, 87.3%, 61.9%, and 57.1%, respectively. The combined WC/Hcp1 ELISA showed the greatest sensitivity and specificity of 98.4% and 95.1%, respectively. Of 511 and 500 sera collected from clinically suspected febrile patients admitted to the General Hospital of Ha Tinh Province and the Hue Central Hospital, respectively, combined WC/Hcp1 ELISAs showed 52 (10.2%) and 41 (8.2%) patients positive for melioidosis, respectively. The assay detected 14 of 14 (100%) and 21 of 23 (91.3%) culture-confirmed cases of melioidosis at Ha Tinh and Hue, respectively. A follow-up study of 38 patients positive for melioidosis by combined WC/Hcp1 ELISAs but negative for Burkholderia pseudomallei by culture method or not assigned to examine for bacterial culture resulted in 2 (5.3%) culture-reconfirmed patients with melioidosis, 9 (23.7%) deaths, 17 (44.7%) unhealthy patients, and 10 (26.3%) healthy persons. Combined WC/Hcp1 ELISA was a reliable serological method to detect underdiagnosed cases of melioidosis. Further investigations are needed to estimate the true sensitivity and specificity of the assay and the true number of cases of melioidosis.

Supplementary Data 3: Annotation of Databases used to classify variants

Supplementary Data 4: ssGSEA and survival after irradiation

Supplementary Figures

Supplementary Tables

Supplementary Data 6: Association between individual metabolites and radiation survival

Supplementary Data 5: Association between individual gene expression and radiation survival

Purpose:Large-scale sequencing efforts have established that cancer-associated genetic alterations are highly diverse, posing a challenge to the identification of variants that regulate complex phenotypes like radiation sensitivity. The impact of the vast majority of rare or common genetic variants on the sensitivity of cancers to radiotherapy remains largely unknown.Experimental Design:We developed a scalable gene editing and irradiation platform to assess the role of categories of variants in cells. Variants were prioritized on the basis of genotype–phenotype associations from a previously completed large-scale cancer cell line radiation profiling study. Altogether, 488 alleles (396 unique single-nucleotide variants) from 92 genes were generated and profiled in an immortalized lung cell line, BEAS-2B. We validated our results in other cell lines (TRT-HU1 and NCI-H520), in vivo via the use of both cell line and patient-derived murine xenografts, and in clinical cohorts.Results:We show that resistance to radiation is characterized by substantial inter- and intra-gene allelic variation. Some genes (e.g., KEAP1) demonstrated significant intragenic allelic variation in the magnitude of conferred resistance and other genes (e.g., CTNNB1) displayed both resistance and sensitivity in a protein domain-dependent manner. We combined results from our platform with gene expression and metabolite features and identified the upregulation of amino acid transporters that facilitate oxidative reductive capacity and cell-cycle deregulation as key regulators of radiation sensitivity.Conclusions:Our results reveal new insights into the genetic determinants of tumor sensitivity to radiotherapy and nominate a multitude of cancer mutations that are predicted to impact treatment efficacy.

Supplementary Data 1: Missense mutations in BEAS-2B cell line

Supplementary Data 2: Alleles profiled and radiation sensitivity data