A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer

被引：48

作者：

Amgad, Mohamed ^{[1
]}

Hodge, James M. ^{[2
]}

Elsebaie, Maha A. T. ^{[3
]}

Bodelon, Clara ^{[2
]}

Puvanesarajah, Samantha ^{[2
]}

Gutman, David A. ^{[4
]}

Siziopikou, Kalliopi P. ^{[1
]}

Goldstein, Jeffery A. ^{[1
]}

Gaudet, Mia M. ^{[5
]}

Teras, Lauren R. ^{[2
]}

Cooper, Lee A. D. ^{[1
]}

机构：

[1] Northwestern Univ, Dept Pathol, Feinberg Sch Med, Chicago, IL 60611 USA

[2] Amer Canc Soc, Dept Populat Sci, Atlanta, GA 30329 USA

[3] John H Stroger Jr Hosp Cook Cty, Dept Med, Chicago, IL USA

[4] Emory Univ, Sch Med, Dept Pathol, Atlanta, GA 30322 USA

[5] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA

来源：

NATURE MEDICINE | 2024年 / 30卷 / 01期

基金：

美国国家卫生研究院;

关键词：

GENE-EXPRESSION SIGNATURE; ENRICHMENT ANALYSIS; TUMOR; SURVIVAL; MODELS; CHEMOTHERAPY; PROGRESSION; METASTASIS; RECURRENCE; PREVENTION;

D O I：

10.1038/s41591-023-02643-7

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Breast cancer is a heterogeneous disease with variable survival outcomes. Pathologists grade the microscopic appearance of breast tissue using the Nottingham criteria, which are qualitative and do not account for noncancerous elements within the tumor microenvironment. Here we present the Histomic Prognostic Signature (HiPS), a comprehensive, interpretable scoring of the survival risk incurred by breast tumor microenvironment morphology. HiPS uses deep learning to accurately map cellular and tissue structures to measure epithelial, stromal, immune, and spatial interaction features. It was developed using a population-level cohort from the Cancer Prevention Study-II and validated using data from three independent cohorts, including the Prostate, Lung, Colorectal, and Ovarian Cancer trial, Cancer Prevention Study-3, and The Cancer Genome Atlas. HiPS consistently outperformed pathologists in predicting survival outcomes, independent of tumor-node-metastasis stage and pertinent variables. This was largely driven by stromal and immune features. In conclusion, HiPS is a robustly validated biomarker to support pathologists and improve patient prognosis.

引用

页码：85 / +

页数：19

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