Evidence mapPaperPMID 39668821Full record

ArticleJournal of Cancer2024

FUNDC1 predicts Poor Prognosis and promotes Progression and Chemoresistance in Endometrial Carcinoma.

Lihua Tang, Jiongyu Chen, Zhaoting Wu, Luanhong Wang, Yaozhen Lai, Zejia Chen, Lin Peng, Li Zhou

Abstract read
In one paragraph

Article in Journal of Cancer, 2024. 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
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

6 citing papers in PubMed.

  1. 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

8 authors.

Lihua TangDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jiongyu ChenCentral Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, China.
Zhaoting WuDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
Luanhong WangDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yaozhen LaiDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
Zejia ChenDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
Lin PengCentral Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, China.
Li ZhouDepartment of Gynecologic Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Absence of effective prognostic biomarkers and therapeutic targets for reversing chemoresistance of endometrial carcinoma (EC) remains a huge challenge for clinicians. Mitophagy plays a crucial role in carcinogenesis and chemoresistance. FUN14 domain-containing protein 1 (FUNDC1) is a novel mitophagy receptor protein involved in tumorigenesis under hypoxic conditions. However, the implication of FUNDC1 in EC progression, chemoresistance in particular, remains unclear. Based on The Cancer Genome Atlas (TCGA) cohort, comprised of 403 EC patients, the association of FUNDC1 mRNA levels with hypoxia-inducible factor 1α (HIF-1α) expression, clinicopathologic features and prognosis in EC was analyzed, and subsequently verified utilizing immunohistochemistry of 288 EC specimens. Analysis of the cohort in TCGA showed that patients with higher FUNDC1 levels exhibited worse OS, with the shortest OS exhibited by patients with co-upregulated FUNDC1 and HIF-1α (

Indexed as

Chemotherapy resistanceEndometrial cancerFUN14 domain-containing protein 1MitophagyPrognostic biomarker

Identifiers

PMID39668821
PMCPMC11632979

What Socratic 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 Socratic graph.