Abstract LB385: Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia

Abstract Genetic variants in genes encoding drug-metabolizing enzymes and drug transporters may influence the efficacy and toxicity of chemotherapy. A polygenic risk score (PRS), capturing the aggregated effects of these genetic variants, may help to identify patients at increased risk of treatment toxicity. We conducted a study of 1,710, 1,897, 4,143, 4,398, and 4,779 European ancestry cancer patients who received anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-based regimens to evaluate the PRS of drug-induced febrile neutropenia (FN). Data utilized in our analysis were from electronic health records and genetic data from ∼96,000 Vanderbilt Biobank (BioVU) participants. FN was defined as an absolute neutrophil count <1000/µL, or hospitalization with diagnosis codes of neutropenia, and fever, diagnosis code for bacterial/fungal infection, or antibiotic use. Patients with acute myeloid leukemia, bone marrow transplantation, and use of prophylactic Granulocyte Colony-Stimulating Factor (G-CSF) were not included in our study. Among cancer patients who received anthracycline, alkylating, taxane, platinum, and antimetabolite agents, 21.1%, 16.7%, 8.1%, 9.1%, and 10.5% experienced FN, respectively. We performed logistic regression models with adjustment for sex, age, and the first five principal components to investigate the association of common single-nucleotide polymorphisms (SNPs). We derived PRSs based on two sets of FN-related SNPs: 1) targeted gene approach: SNPs with false discovery rate (FDR)-corrected p<0.2 for metabolizing enzyme and drug transporter genes of study drugs; and 2) global untargeted approach: SNPs with p<5×10-6 based on genome-wide association study (GWAS) of FN. In the targeted gene approach, we built PRSs based on 6, 4, 15, 10, and 6 SNPs in targeted 17, 11, 14, 13, and 19 genes involved in metabolizing or transporting anthracycline, alkylating, taxane, platinum, and antimetabolite agents. Per SD increase of these PRGs was associated with an increased risk of FN, with Odds ratio (OR) and p-value of 1.87 (1.00x10-17), 1.58 (3.41x10-22), 2.03 (1.07x10-29), 1.78 (3.12x10-28), and 1.60 (5.40 x10-20), respectively. In the global untargeted approach, we built PRSs based on 8, 12, 20, 12, and 6 SNPs that were significantly associated with anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-induced FN, with a per-SD increase in the PRSs being associated with an increased risk of FN, OR of 2.52 (2.29x10-32), 2.52 (3.92 x10-33), 2.83 (1.01x10-59), 2.27 (1.07 x10-47), and 1.58 (1.70x10-28). Whole-genome sequencing data are now available for 250,000 BioVu participants, which will increase the statistical power of GWAS and enable us to validate the PRSs and to include known functional, but rare, variants in drug metabolism and transport genes when deriving PRSs. Updated results will be presented at the conference. Citation Format: Sang Minh Nguyen, Jirong Long, Michael J. Robinson, Vicki Keedy, Travis Osterman, Tuya Pal, Ben Ho Park, Debra L. Friedman, Xiao Ou Shu. Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr LB385.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-17
DOI
https://doi.org/10.1158/1538-7445.am2026-lb385
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract LB385: Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia

Sang M. Nguyen, Debra L. Friedman, Xie Shu, B Park et al.
Cancer Research
Neutropenia and Cancer Infections
article

Abstract LB385: Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia

Sang M. Nguyen, Debra L. Friedman, Xie Shu, B Park, Jirong Long, Vicki Keedy, Travis Osterman, Michael J. Robinson, Tuya Pal
article en

Abstract

Abstract Genetic variants in genes encoding drug-metabolizing enzymes and drug transporters may influence the efficacy and toxicity of chemotherapy. A polygenic risk score (PRS), capturing the aggregated effects of these genetic variants, may help to identify patients at increased risk of treatment toxicity. We conducted a study of 1,710, 1,897, 4,143, 4,398, and 4,779 European ancestry cancer patients who received anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-based regimens to evaluate the PRS of drug-induced febrile neutropenia (FN). Data utilized in our analysis were from electronic health records and genetic data from ∼96,000 Vanderbilt Biobank (BioVU) participants. FN was defined as an absolute neutrophil count <1000/µL, or hospitalization with diagnosis codes of neutropenia, and fever, diagnosis code for bacterial/fungal infection, or antibiotic use. Patients with acute myeloid leukemia, bone marrow transplantation, and use of prophylactic Granulocyte Colony-Stimulating Factor (G-CSF) were not included in our study. Among cancer patients who received anthracycline, alkylating, taxane, platinum, and antimetabolite agents, 21.1%, 16.7%, 8.1%, 9.1%, and 10.5% experienced FN, respectively. We performed logistic regression models with adjustment for sex, age, and the first five principal components to investigate the association of common single-nucleotide polymorphisms (SNPs). We derived PRSs based on two sets of FN-related SNPs: 1) targeted gene approach: SNPs with false discovery rate (FDR)-corrected p<0.2 for metabolizing enzyme and drug transporter genes of study drugs; and 2) global untargeted approach: SNPs with p<5×10-6 based on genome-wide association study (GWAS) of FN. In the targeted gene approach, we built PRSs based on 6, 4, 15, 10, and 6 SNPs in targeted 17, 11, 14, 13, and 19 genes involved in metabolizing or transporting anthracycline, alkylating, taxane, platinum, and antimetabolite agents. Per SD increase of these PRGs was associated with an increased risk of FN, with Odds ratio (OR) and p-value of 1.87 (1.00x10-17), 1.58 (3.41x10-22), 2.03 (1.07x10-29), 1.78 (3.12x10-28), and 1.60 (5.40 x10-20), respectively. In the global untargeted approach, we built PRSs based on 8, 12, 20, 12, and 6 SNPs that were significantly associated with anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-induced FN, with a per-SD increase in the PRSs being associated with an increased risk of FN, OR of 2.52 (2.29x10-32), 2.52 (3.92 x10-33), 2.83 (1.01x10-59), 2.27 (1.07 x10-47), and 1.58 (1.70x10-28). Whole-genome sequencing data are now available for 250,000 BioVu participants, which will increase the statistical power of GWAS and enable us to validate the PRSs and to include known functional, but rare, variants in drug metabolism and transport genes when deriving PRSs. Updated results will be presented at the conference. Citation Format: Sang Minh Nguyen, Jirong Long, Michael J. Robinson, Vicki Keedy, Travis Osterman, Tuya Pal, Ben Ho Park, Debra L. Friedman, Xiao Ou Shu. Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr LB385.

Cancer ResearchVol. 86(8_Supplement)
Vanderbilt University (US), Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 8%
Neutropenia and Cancer Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.