Evidence map›Paper›PMID 36393971›Full record

ArticleDisease markers2022

Systematic Pan-Cancer Analysis and Experimental Verification Identify FOXA1 as an Immunological and Prognostic Biomarker in Epithelial Ovarian Cancer.

Kai Wang, Chenan Guan, Junhui Yu, Xing Chen, Xianwen Shang, Shuangshuang Mei, Xingjun Feng, Lingzhi Zheng

Open access · hybridAbstract read
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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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  5. Molecules (Basel, Switzerland) · 2023
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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

8 authors at 2 institutions in 1 country.

Kai WangDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Chenan GuanDepartment of Kidney Internal Medicine, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Junhui YuDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Xing ChenDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Xianwen ShangDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Shuangshuang MeiDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.
Xingjun FengDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.ORCID https://orcid.org/0000-0001-7835-4384
Lingzhi ZhengDepartment of Obstetrics and Gynecology, Taizhou Hospital Zhejiang Province, Wenzhou Medical University, Linhai, 317000 Zhejiang, China.ORCID https://orcid.org/0000-0002-8422-6052
Wenzhou Medical University · CNShaoxing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epithelial ovarian cancer (EOC) has the lowest survival rate among female reproductive cancers present with symptoms of aggressive malignancies, poor prognosis, drug resistance and postoperative recurrence. The majority of patients with EOC are diagnosed at an advanced stage due to the therapeutic challenges including lack of early diagnosis and effective therapeutic targets for EOC. Methods: Pan-cancer analyses were performed to explore the features of forkhead-box (FOX) A1 (FOXA1) using data from TCGA and GTEx databases. R package "clusterprofiler" was used to perform the enrichment analysis of FOXA1 in EOC. Data downloaded from Drug Sensitivity in Cancer (GDSC) database were used to evaluate the association between FOXA1 and antitumor drug sensitivity. In experimental verification, FOXA1 expression was detected using qRT-PCR and western blot assays. Western blot, immunofluorescence staining, and Transwell assays were used to assess the influence of FOXA1 silencing on epithelial-mesenchymal transition (EMT) of EOC cells. Results: We found that FOXA1 was highly expressed in EOC and predicted poorer survival of EOC patients. We observed that FOXA1 expression was positively correlated EMT-related pathways. Through experimental verification, we found the underlying function of FOXA1 to promote EMT in ovarian cancers. The results from western blot, immunofluorescence staining, and Transwell assays showed that FOXA1 silencing impeded the progression of EMT and invasiveness of the cancer cells. Furthermore, CCK-8 and invasion assays suggested that siRNA-FOXA1 attenuated the ability of cancer cells to metastasize and proliferate. Dual-luciferase reporter assays confirmed the binding activity of FOXA1 to the promoter of connective tissue growth factor (CTGF). In addition, we found that FOXA1 was closely correlated immunosuppressive microenvironment of EOC. High FOXA1 expression may contribute to the resistance of many anticancer drugs. Conclusions: Our results predict and validate the function of FOXA1 in promoting EMT and the progression of disease in EOC. Targeting FOXA1 may improve the sensitivity of EOC treatment.

Indexed as

Gene Expression Regulation, NeoplasticOvarian NeoplasmsBiomarkersCarcinoma, Ovarian EpithelialFemaleHepatocyte Nuclear Factor 3-alphaHumansPrognosisTumor MicroenvironmentBiomarkersFOXA1 protein, humanHepatocyte Nuclear Factor 3-alpha

Identifiers

PMID36393971
PMCPMC9646314
OpenAlexW4307981554

What OpenQuestion holds

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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.