Faculty, Staff and Student Publications

Language

English

Publication Date

4-1-2024

Journal

Cell Oncology

DOI

10.1007/s13402-023-00886-7

PMID

37821797

PMCID

PMC12973968

PubMedCentral® Posted Date

10-12-2023

PubMedCentral® Full Text Version

Post-print

Abstract

Purpose: Cancer cells with stem cell-like properties may contribute to cancer development and therapy resistance. The advancement of multi-omics technology has sparked interest in exploring cancer stemness from a multi-omics perspective. However, there is a limited number of studies that have attempted to subtype cancer by combining different types of stem cell signatures.

Methods: In this study, 10,323 cancer specimens from 33 TCGA cancer types were clustered based on the enrichment scores of six stemness gene sets, representing two types of stem cell backgrounds: embryonic stem cells (ESCs) and hematopoietic stem cells (HSCs).

Results: We identified four subtypes of pan-cancer, termed StC1, StC2, StC3 and StC4, which displayed distinct molecular and clinical features, including stemness, genome integrity, intratumor heterogeneity, methylation levels, tumor microenvironment, tumor progression, responses to chemotherapy and immunotherapy, and survival prognosis. Importantly, this subtyping method for pan-cancer is reproducible at the protein level.

Conclusion: Our findings indicate that the ESC signature is an adverse prognostic factor in cancer, while the HSC signature and ratio of HSC/ESC signatures are positive prognostic factors. The subtyping of cancer based on ESC and HSC signatures may provide insights into cancer biology and clinical implications of cancer.

Keywords

Humans, Hematopoietic Stem Cells, Neoplasms, Embryonic Stem Cells, Prognosis, Tumor Microenvironment, Gene Expression Regulation, Neoplastic, Neoplastic Stem Cells, Gene Expression Profiling, Biomarkers, Tumor, Pan-cancer, Subtyping, Multi-omics, Embryonic stem cell signature, Hematopoietic stem cell signature

Published Open-Access

yes

Download

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.