Evidence map›Paper›PMID 42163252›Full record

ArticleCancer cell international2026

APOE+ macrophages induce tumor cell metastatic characteristics via TNFSF12/TNFRSF12A signaling, correlating with poor patient prognosis.

Chuanjun Song, Hongyu Sun, Wenyuan Gan, Quanzhong Liu, Lingxiang Wu, Mengyan Zhu, Lingjun Zhu

Abstract read
In one paragraph

Article in Cancer cell international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chuanjun Song *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Hongyu Sun *Bioinformatics R&D Department, OncoCare Life Technology (Suzhou) Co., Ltd, Suzhou, China.
Wenyuan Gan *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Quanzhong LiuDepartment of Bioinformatics, Nanjing Medical University, Nanjing, China.
Lingxiang WuDepartment of Bioinformatics, Nanjing Medical University, Nanjing, China.
Mengyan ZhuDepartment of Bioinformatics, Nanjing Medical University, Nanjing, China.
Lingjun ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. zhulingjun@njmu.edu.cn.

Funding

the National Natural Science Foundation of China 82273407
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, with metastasis representing a major determinant of poor prognosis. Epithelial-mesenchymal transition (EMT) promotes metastatic progression by enhancing tumor cell migration and invasion. This study aimed to identify EMT-associated malignant epithelial programs in CRC and define the macrophage-tumor cell signaling mechanisms contributing to EMT and apoptosis resistance. We integrated single-cell RNA sequencing, bulk RNA-seq, spatial transcriptomics, immunohistochemistry, and functional validation experiments. Malignant epithelial subpopulations were identified using inferCNV and reclustering analyses, and EMT-related programs were evaluated by gene set scoring. Transcriptional regulation was assessed using pySCENIC, public ChIP-seq data, ChIP-qPCR, and TNFRSF12A promoter luciferase reporter assays. Cell-cell communication and ligand activity were analyzed using CellPhoneDB and NicheNet. Functional validation included western blotting, conditioned-medium assays, TNFSF12 neutralization, and Transwell migration assays. We identified an EMT-associated malignant epithelial subgroup enriched for TNFRSF12A expression. FOSL2 was highly active in this subgroup and positively associated with TNFRSF12A expression. ChIP-qPCR and promoter luciferase assays supported direct FOSL2-mediated transcriptional activation of TNFRSF12A. APOE+ macrophages were identified as a potential source of TNFSF12 in the tumor microenvironment. TNFSF12 acted on TNFRSF12A-expressing CRC cells and was associated with BCL2L1 upregulation, EMT-like changes, and enhanced migration. TNFSF12 overexpression increased BCL2L1 expression, whereas APOE+ macrophage-conditioned medium promoted E-cadherin downregulation, Vimentin and BCL2L1 upregulation, and tumor cell migration. These effects were attenuated by anti-TNFSF12 neutralization. Clinically, combined high TNFSF12 and TNFRSF12A expression was associated with advanced disease stage and poorer survival. Together, these findings identify a macrophage-tumor cell signaling axis in which FOSL2 upregulates TNFRSF12A in CRC cells, while APOE+ macrophage-derived TNFSF12 activates downstream BCL2L1-associated survival and EMT-related programs. The TNFSF12-TNFRSF12A-BCL2L1 pathway may represent a potential therapeutic vulnerability in metastatic CRC. NOVELTY AND IMPACT: This study identifies a previously undercharacterized macrophage-tumor cell signaling mechanism in colorectal cancer (CRC), in which APOE+ macrophage-derived TNFSF12 acts on TNFRSF12A-expressing malignant epithelial cells to promote EMT-associated progression. By integrating single-cell transcriptomics, bulk RNA-seq, spatial transcriptomics, and functional validation, we show that FOSL2 directly enhances TNFRSF12A transcription in EMT-associated tumor cells, thereby increasing their responsiveness to TNFSF12. Functionally, TNFSF12/TNFRSF12A signaling promotes BCL2L1-associated survival signaling, EMT-like changes, and tumor cell migration, while combined high TNFSF12 and TNFRSF12A expression is associated with advanced disease stage and poor patient survival. These findings reveal a clinically relevant macrophage-tumor cell communication axis and highlight the TNFSF12-TNFRSF12A-BCL2L1 pathway as a potential therapeutic vulnerability in metastatic CRC.

Indexed as

Colorectal cancerEpithelial-mesenchymal transitionPrognostic biomarkersTNFRSF12A signaling pathwayTumor microenvironment

Identifiers

PMID42163252
PMCPMC13371701

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.