Evidence map›Paper›PMID 35069934›Full record

ArticleDisease markers2022

Identification of Ferroptosis-Related Gene Prognostic Signature and HSF1 for Reversing Doxorubicin and Gemcitabine Resistance in Uterine Carcinosarcoma.

Shuxia Han, Qing Liu, ZhiJuan Yang, JingWen Ma, Dan Liu, Caiping Yan, Duoxian Liang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Shuxia HanDepartment of Gynecology, The Affiliated Hospital of Ningxia Medical University, Ningxia, China.ORCID https://orcid.org/0000-0002-9344-3374
Qing LiuDepartment of Hepatological Surgery, The Affiliated Hospital of Ningxia Medical University, Ningxia, China.
ZhiJuan YangDepartment of Gynecology, The Affiliated Hospital of Ningxia Medical University, Ningxia, China.
JingWen MaDepartment of Gynecology, The Affiliated Hospital of Ningxia Medical University, Ningxia, China.
Dan LiuDepartment of Gynecology, The Affiliated Hospital of Ningxia Medical University, Ningxia, China.
Caiping YanDepartment of Gynecology, Zhuhai People's Hospital, Guangdong Province, Zhuhai, Guangdong, China.ORCID https://orcid.org/0000-0002-8762-7839
Duoxian LiangDepartment of Gynecology, Huizhou Municipal Central Hospital, Huizhou, Guangdong, China.ORCID https://orcid.org/0000-0003-3716-6074
Ningxia Medical University · CNHuizhou Central People's Hospital · CNZhuhai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIron metabolism and ferroptosis play crucial roles in the pathogenesis of cancer. In this study, we aim to study the role of ferroptosis-related genes (FRGs) in uterine carcinosarcoma (UCS) and identify potential target for UCS.

methodsPrognostic differentially expressed FRGs were identified of in the TCGA cohort. Integrated analysis, cox regression, and the least absolute shrinkage and selection operator (LASSO) methods of FRGs were performed to construct a multigene signature prognostic model. Moreover, a dataset from Gene Expression Omnibus (GEO) served as an external validation. HSF1 was knockdown in MES-SA and FU-MMT-1 cells, and cell viability, lipid ROS, and intracellular iron level were detected when combined with doxorubicin or gemcitabine.

resultFive FRGs were selected to construct a prognostic model of UCS. The group with high-risk signature score exhibited obviously lower overall survival (OS) than the group with low risk signature score in both TCGA and validated GEO cohorts. Multivariate Cox regression analysis further indicated that the risk score was an independent factor for the prognosis of UCS patients. The high-risk group of UCS has a higher sensitivity in the treatment of doxorubicin and gemcitabine. Knocking down of HSF1 in MES-SA and FU-MMT-1 cells was more sensitive to doxorubicin and gemcitabine via increasing ferroptosis.

conclusionsThe five FRGs risk signature prognostic model having a superior and drug sensitivity predictive performance for OS in UCS, and HSF1 is a potential marker sensitive to doxorubicin and gemcitabine in UCS patients.

Indexed as

CarcinosarcomaFerroptosisDeoxycytidineDoxorubicinGemcitabineGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisDeoxycytidineDoxorubicinGemcitabine

Identifiers

PMID35069934
PMCPMC8769820
OpenAlexW4206658967

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Registered trials

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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.