A prognostic mathematical model based on tumor microenvironment-related genes expression for breast cancer patients

• DOI: 10.3389/fonc.2023.1209707
• Publication Date: 2023-10-04T12:01:56Z
• Authors: Hong Chen; Shan Wang; Yuting Zhang; Xue Gao; Yufu Guan; Nan Wu; Xinyi Wang; Tianyang Zhou; Ying Zhang; Di Cui; Mijia Wang; Dianlong Zhang; Jia Wang
• Keywords: Nomogram

Tumor microenvironment (TME) status is closely related to breast cancer (BC) prognosis and systemic therapeutic effects. However, date studies have not considered the interactions of immune stromal cells at gene expression level in BC as a whole. Herein, we constructed predictive model, for adjuvant decision-making, by mining TME molecular information patient drug treatment sensitivity.Clinical profiles were extracted from The Cancer Genome Atlas (TCGA), with patients divided into high- low-score groups according immune/stromal scores. TME-related prognostic genes identified using Kaplan-Meier analysis, functional enrichment protein-protein interaction (PPI) networks, validated Gene Expression Omnibus (GEO) database. Least absolute shrinkage selection operator (LASSO) Cox regression analysis was used construct verify model based on genes. In addition, patients' response chemotherapy immunotherapy assessed survival outcome immunohistochemistry (IPS). Immunohistochemistry (IHC) staining laid solid foundation exploring value novel target genes.By dividing low- high-risk groups, significant distinction overall found (p < 0.05). risk independent multiple clinicopathological parameters accurately predicted nomogram-integrated score had high prediction accuracy applicability, when compared simple features. As regardless regimen, advantage low-risk group evident those receiving anthracycline (A) therapy, outcomes significantly different no-A therapy = 0.24), suggesting these may omit A-containing chemotherapy. Our also effectively tumor mutation burden (TMB) efficacy 0.05).The effects patients. provides theoretical basis driver-gene discover guides decision-making early (eBC).