Single-cell transcriptome analysis reveals onco-fetal reprogramming with implications for drug resistance and clinical outcome

Onco-fetal reprogramming of the tumor ecosystem induces fetal-like characteristics, leading to tumor growth and malignant progression. Here, we develop a robust computational pipeline to systematically identify onco-fetal (OF) cells, using single-cell transcriptomic data from corresponding fetal and tumor tissues across multiple cancer types. OF cells are consistently detected across diverse malignancies and exhibit pronounced stem-like properties. Core transcription factors involved in onco-fetal reprogramming are identified, including PTMA, ATF5, TCF4, and FOS, whose coordinated activities may promote tumor progression. Strategically positioned OF cells orchestrate tumor microenvironment crosstalk, specifically impairing B cell function. OF cells are further verified in additional cancers, and we find that high OF cell abundance contributes to enhanced drug resistance and cancer recurrence. Critically, pancancer analyses establish that OF cell markers universally portend adverse prognoses. Overall, our study uncovers a clinically consequential cancer cell subpopulation and highlights its potential as a target for precision oncology.

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Publication Details

Journal
Genome Research
Published
2026-10-09
DOI
https://doi.org/10.1101/gr.281292.125
Primary Topic
Single-cell and spatial transcriptomics
Type
preprint
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preprint

Single-cell transcriptome analysis reveals onco-fetal reprogramming with implications for drug resistance and clinical outcome

Haoxiu Sun, Tingting Shao, Hui Zhi, Zhang Shiqian et al.
Genome Research
Single-cell and spatial transcriptomics
preprint

Single-cell transcriptome analysis reveals onco-fetal reprogramming with implications for drug resistance and clinical outcome

Haoxiu Sun, Tingting Shao, Hui Zhi, Zhang Shiqian, Jingyi Shi, Qinghua Jiang, Yongle Xu, Shaoyi Chen, Jianing Li, Liu Shanshan, Gengdong Chen, Weijian Lu, Na Ding, Mantang Qiu, Yuqi Fan, Wenhui Liu, Zhenglin Lu, Changbo Yang, Xilin Sun, Zhaoxin Liu
preprint en

Abstract

Onco-fetal reprogramming of the tumor ecosystem induces fetal-like characteristics, leading to tumor growth and malignant progression. Here, we develop a robust computational pipeline to systematically identify onco-fetal (OF) cells, using single-cell transcriptomic data from corresponding fetal and tumor tissues across multiple cancer types. OF cells are consistently detected across diverse malignancies and exhibit pronounced stem-like properties. Core transcription factors involved in onco-fetal reprogramming are identified, including PTMA, ATF5, TCF4, and FOS, whose coordinated activities may promote tumor progression. Strategically positioned OF cells orchestrate tumor microenvironment crosstalk, specifically impairing B cell function. OF cells are further verified in additional cancers, and we find that high OF cell abundance contributes to enhanced drug resistance and cancer recurrence. Critically, pancancer analyses establish that OF cell markers universally portend adverse prognoses. Overall, our study uncovers a clinically consequential cancer cell subpopulation and highlights its potential as a target for precision oncology.

Genome Research
Harbin Medical University (CN), Third Affiliated Hospital of Harbin Medical University (CN), Fourth Affiliated Hospital of Harbin Medical University (CN), Peking University People's Hospital (CN)
Single-cell and spatial transcriptomics
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