TY - JOUR
T1 - Germline POT1 Variants in a Pan-Cancer Cohort
AU - Brock, Pamela L.
AU - Webster, Morgan
AU - Liyanarachchi, Sandya
AU - Byrne, Lindsey
AU - Hedges, Dale J.
AU - Gulhati, Pat
AU - Hicks, J. Kevin
AU - Chan, Carlos H.F.
AU - Onel, Kenan
AU - Stout, Leigh Anne
AU - Maxwell, Whitney
AU - Pickarski, Justine Cooper
AU - Estrada-Veras, Juvianee
AU - Salhia, Bodour
AU - Axell, Lisen
AU - Holman, Laura L.
AU - Abdel-Rahman, Mohamed H.
AU - Ringel, Matthew D.
N1 - Publisher Copyright:
© 2025 American Society of Clinical Oncology.
PY - 2025/7/1
Y1 - 2025/7/1
N2 - PURPOSEGermline likely pathogenic and pathogenic variants (LPV/PVs) in POT1 have been associated with an increased risk of various cancers including angiosarcoma, melanoma, glioma, thyroid cancer, and chronic lymphocytic leukemia (CLL). However, to date, most of the published data regarding POT1 PVs involve cohorts of patients selected for specific cancer types, or stem from commercial laboratory cohorts from patients selected for germline clinical testing, which may cause ascertainment biases. The objective was to identify germline POT1 variants in a pan-cancer cohort and describe the associated phenotypes.METHODSGermline exome data available for 19,315 patients with cancer from the Oncology Research Information Exchange Network (ORIEN) were assessed for POT1 LPV/PV. Data regarding cancer diagnoses were obtained for those with and without POT1 variants. Associations were assessed.RESULTSPOT1 LPV/PVs were identified in 23 patients. The cancer types seen in more than one patient include CLL (n = 7), papillary thyroid cancer (PTC, n = 5), colorectal cancer (n = 3), lung cancer (n = 3), glioblastoma (n = 2), and neuroendocrine tumors (n = 2). Compared with POT1-negative patients, those with POT1 LPV/PVs were 5.5-fold more likely to be diagnosed with PTC (95% CI, 1.9 to 15.1; P =.004) and 16.6-fold more likely to be diagnosed with CLL (95% CI, 6.4 to 41.9; P <.001). Patients with POT1 LPV/PVs had a younger median age of first cancer diagnosis compared with POT1-negative patients (P =.008).CONCLUSIONTo our knowledge, this study is the largest investigation of POT1 germline variants in a pan-cancer cohort. We identify and confirm specific associations with CLL and PTC in this cohort. Differences in results between analysis of largely unselected cohorts compared with clinical testing cohorts highlight the need to study gene-cancer associations in more unselected populations.
AB - PURPOSEGermline likely pathogenic and pathogenic variants (LPV/PVs) in POT1 have been associated with an increased risk of various cancers including angiosarcoma, melanoma, glioma, thyroid cancer, and chronic lymphocytic leukemia (CLL). However, to date, most of the published data regarding POT1 PVs involve cohorts of patients selected for specific cancer types, or stem from commercial laboratory cohorts from patients selected for germline clinical testing, which may cause ascertainment biases. The objective was to identify germline POT1 variants in a pan-cancer cohort and describe the associated phenotypes.METHODSGermline exome data available for 19,315 patients with cancer from the Oncology Research Information Exchange Network (ORIEN) were assessed for POT1 LPV/PV. Data regarding cancer diagnoses were obtained for those with and without POT1 variants. Associations were assessed.RESULTSPOT1 LPV/PVs were identified in 23 patients. The cancer types seen in more than one patient include CLL (n = 7), papillary thyroid cancer (PTC, n = 5), colorectal cancer (n = 3), lung cancer (n = 3), glioblastoma (n = 2), and neuroendocrine tumors (n = 2). Compared with POT1-negative patients, those with POT1 LPV/PVs were 5.5-fold more likely to be diagnosed with PTC (95% CI, 1.9 to 15.1; P =.004) and 16.6-fold more likely to be diagnosed with CLL (95% CI, 6.4 to 41.9; P <.001). Patients with POT1 LPV/PVs had a younger median age of first cancer diagnosis compared with POT1-negative patients (P =.008).CONCLUSIONTo our knowledge, this study is the largest investigation of POT1 germline variants in a pan-cancer cohort. We identify and confirm specific associations with CLL and PTC in this cohort. Differences in results between analysis of largely unselected cohorts compared with clinical testing cohorts highlight the need to study gene-cancer associations in more unselected populations.
UR - https://www.scopus.com/pages/publications/105010716291
U2 - 10.1200/PO-24-00946
DO - 10.1200/PO-24-00946
M3 - Article
C2 - 40632976
AN - SCOPUS:105010716291
SN - 2473-4284
VL - 9
JO - JCO Precision Oncology
JF - JCO Precision Oncology
M1 - e2400946
ER -