PGK1 expression varies across breast cancer molecular subtypes and is associated with overall survival in the TCGA BRCA cohort

Abstract Purpose Phosphoglycerate kinase 1 (PGK1) is a glycolytic enzyme implicated in cancer metabolism and breast cancer progression, but reported survival associations may be confounded by molecular subtype and stage. Methods We analyzed official TCGA-BRCA PanCancer Atlas RNA-seq V2 RSEM and clinical files from the cBioPortal DataHub. PGK1 expression was evaluated in 1,082 primary tumors, including 981 with PAM50 annotation. Overall-survival analyses included 915 patients in the four principal PAM50 subtypes with complete age, AJCC stage, survival, and expression data (118 deaths). PGK1 was modeled as a standardized continuous variable. The primary Cox model adjusted for age and stratified the baseline hazard by stage and PAM50 subtype. Co-expression was assessed in a curated 119-gene panel using prespecified mean z-score composite signatures. Results PGK1 expression differed across PAM50 subtypes (P = 4.35×10⁻⁵⁷) and was highest in HER2-enriched tumors. Higher PGK1 was associated with shorter overall survival in univariate analysis (hazard ratio [HR] per 1-SD increase, 1.55; 95% CI, 1.31–1.85; P = 7.10×10⁻⁷) and in the primary stratified model (HR, 1.41; 95% CI, 1.13–1.76; P = 0.002). PGK1 correlated most strongly with the glycolysis composite score (r = 0.675; PAM50-adjusted partial r = 0.575). Conclusions PGK1 varies substantially by breast cancer subtype and remains associated with overall survival after accounting for age, stage, and PAM50 subtype. These exploratory single-cohort findings require independent clinical and experimental validation.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2026-11-05
DOI
https://doi.org/10.1007/s12672-026-06249-6
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PGK1 expression varies across breast cancer molecular subtypes and is associated with overall survival in the TCGA BRCA cohort

Junwen Bai, He Bu
Discover Oncology
Breast Cancer Treatment Studies
article

PGK1 expression varies across breast cancer molecular subtypes and is associated with overall survival in the TCGA BRCA cohort

Junwen Bai, He Bu
article en

Abstract

Abstract Purpose Phosphoglycerate kinase 1 (PGK1) is a glycolytic enzyme implicated in cancer metabolism and breast cancer progression, but reported survival associations may be confounded by molecular subtype and stage. Methods We analyzed official TCGA-BRCA PanCancer Atlas RNA-seq V2 RSEM and clinical files from the cBioPortal DataHub. PGK1 expression was evaluated in 1,082 primary tumors, including 981 with PAM50 annotation. Overall-survival analyses included 915 patients in the four principal PAM50 subtypes with complete age, AJCC stage, survival, and expression data (118 deaths). PGK1 was modeled as a standardized continuous variable. The primary Cox model adjusted for age and stratified the baseline hazard by stage and PAM50 subtype. Co-expression was assessed in a curated 119-gene panel using prespecified mean z-score composite signatures. Results PGK1 expression differed across PAM50 subtypes (P = 4.35×10⁻⁵⁷) and was highest in HER2-enriched tumors. Higher PGK1 was associated with shorter overall survival in univariate analysis (hazard ratio [HR] per 1-SD increase, 1.55; 95% CI, 1.31–1.85; P = 7.10×10⁻⁷) and in the primary stratified model (HR, 1.41; 95% CI, 1.13–1.76; P = 0.002). PGK1 correlated most strongly with the glycolysis composite score (r = 0.675; PAM50-adjusted partial r = 0.575). Conclusions PGK1 varies substantially by breast cancer subtype and remains associated with overall survival after accounting for age, stage, and PAM50 subtype. These exploratory single-cohort findings require independent clinical and experimental validation.

Discover Oncology
Inner Mongolia Medical University (CN)
Good health and well-being
Openalex Percentile: Top 48%
Breast Cancer Treatment Studies
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.

Laika access coming soon