Evidence map›Paper›PMID 39294690›Full record

ArticleCancer cell international2024

Identification of the tumor metastasis-related tumor subgroups overexpressed NENF in triple-negative breast cancer by single-cell transcriptomics.

Guixin Wang, Cangchang Shi, Long He, Yingxi Li, Wenbin Song, Zhaohui Chen, Zhaoyi Liu, Yizeng Wang, Xianghui He, Yue Yu and 2 more

Abstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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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

12 authors.

Guixin Wang *the First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China.
Cangchang Shi *Department of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Long He *Department of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Yingxi LiImmunology Department, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Medical University, Tianjin, 300070, P. R. China.
Wenbin SongDepartment of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Zhaohui Chenthe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China.
Zhaoyi LiuDepartment of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Yizeng WangDepartment of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Xianghui HeDepartment of General Surgery, Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, Tianjin Medical University General Hospital, Tianjin General Surgery Institute, 154 An-Shan Road, He-Ping District, Tianjin, 300052, P. R. China.
Yue Yuthe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China.
Yao Tianthe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China. tianyao@tmu.edu.cn.
Xin Wangthe First Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Huan-Hu-Xi Road, He-Xi District, Tianjin, 300060, China. wangxin@tjmuch.com.

Funding

National Natural Science Foundation of China 82172835National Natural Science Foundation of China 82303857National Natural Science Foundation of China 82304025
6 · The paper itself

Abstract

Tumor metastasis is a continuous and dynamic process and is a major cause of tumor-related death in triple-negative breast cancer. However, this biological process remains largely unknown in triple-negative breast cancer. The emergence of single-cell sequencing enables a deeper understanding of the tumor microenvironment and provides a new strategy for discovering the potential mechanism of tumor metastasis. Herein, we integrated the single-cell expression profiling of primary and metastatic triple-negative breast cancer by Seurat package. Nine tumor cell subgroups were identified. Enrichment analysis suggested tumor subgroups (C0, C4) were associated with tumor metastasis with poor prognosis in TNBC. Weighted gene co-expression network was constructed and identified NENF was a metastasis-related gene. Subsequently, RT-qPCR, Immunohistochemistry, and western blot confirmed NENF is highly expressed in TNBC tissues. And cell function assays indicated NENF promote cell invasion and migration through regulating EMT in TNBC. Finally, TIDE and Connectivity Map database suggest the candidate drugs for targeting NENF. In conclusion, our findings provide a new insight into the progression and metastasis of TNBC and uncover NENF may be a prognostic biomarker and potential therapy targets.

Identifiers

PMID39294690
PMCPMC11409682

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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.