Evidence map›Paper›PMID 40212962›Full record

ArticleMolecular therapy. Oncology2025

Xun Tang, Ning Jiang, Yingying Kou, Shan Cheng, Feng Yan

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Xun TangDepartment of Clinical Laboratory, the Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Ning JiangDepartment of Clinical Laboratory, the Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Yingying KouGood Clinical Practice Office, the Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.
Shan ChengDepartment of Infectious Disease, Children's Hospital of Nanjing Medical University, Nanjing 210008, China.
Feng YanDepartment of Clinical Laboratory, the Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming is an emerging hallmark and promising therapeutic target in cancer, fueling malignant cells and regulating the tumor microenvironment as a metabolic checkpoint. Triple-negative breast cancer (TNBC), an aggressive subtype with poor prognosis, is marked by high recurrence rates and chemotherapy resistance. However, the metabolic heterogeneity and cell-specific metabolic profiles in TNBC remain underexplored. In this study, we analyzed the expression and prognostic impact of 87 metabolic pathways involving 1,668 genes, identifying 104 candidate metabolic checkpoint genes. Using consensus clustering, we uncovered two distinct metabolic subclusters of TNBC patients that exhibited significant differences in survival. We further characterized the differentially expressed genes, mutation profiles, and microenvironmental features between these two clusters. Additionally,

Indexed as

metabolic reprogramMT: Regular IssuePLA2G4Fsingle-cell RNA sequencingtrans-omics analysistriple-negative breast cancer

Identifiers

PMID40212962
PMCPMC11982965

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.