Evidence map›Paper›PMID 36142823›Full record

ArticleInternational journal of molecular sciences2022

GDF15 Contributes to Radioresistance by Mediating the EMT and Stemness of Breast Cancer Cells.

Xinrui Zhao, Xinglong Liu, Songling Hu, Yan Pan, Jianghong Zhang, Guomei Tai, Chunlin Shao

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. EMT and cancer stem cells: Drivers of therapy resistance and promising therapeutic targets.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2025
    Review
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  7. Review
  8. Article
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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

7 authors.

Xinrui ZhaoInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Xinglong LiuInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Songling HuInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Yan PanInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Jianghong ZhangInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Guomei TaiDepartment of Radiotherapy, Nantong Tumor Hospital and the Affiliated Tumor Hospital of Nantong University, Nantong 226631, China.
Chunlin ShaoInstitute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China.ORCID 0000-0001-9336-9912

Funding

National Natural Science Foundation of China 11775052National Natural Science Foundation of China 12175044National Natural Science Foundation of China 32171235Shanghai Science and Technology Commission 19411950902
6 · The paper itself

Abstract

Radiotherapy is one of the conventional methods for the clinical treatment of breast cancer. However, radioresistance has an adverse effect on the prognosis of breast cancer patients after radiotherapy. In this study, using bioinformatic analysis of GSE59732 and GSE59733 datasets in the Gene Expression Omnibus (GEO) database together with the prognosis database of breast cancer patients after radiotherapy, the

Indexed as

Breast NeoplasmsBiomarkersCell Line, TumorEpithelial-Mesenchymal TransitionFemaleGrowth Differentiation Factor 15HumansNeoplastic Stem CellsRadiation ToleranceBiomarkersGDF15 protein, humanGrowth Differentiation Factor 15bioinformatics analysisbreast cancer cellsEMTGDF15radioresistancestem-like traits

Identifiers

PMID36142823
PMCPMC9504016

What OpenQuestion holds

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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.