Evidence map›Paper›PMID 37342190›Full record

ArticleFrontiers in oncology2023

VGLL3 expression is associated with macrophage infiltration and predicts poor prognosis in epithelial ovarian cancer.

Razaul Haque, Jaebon Lee, Joon-Yong Chung, Ha-Yeon Shin, Hyosun Kim, Jae-Hoon Kim, Jae Won Yun, Eun-Suk Kang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 6 institutions in 2 countries.

Razaul HaqueDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Seoul, Republic of Korea.
Jaebon LeeSchool of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.
Joon-Yong ChungMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Ha-Yeon ShinDepartment of Obstetrics and Gynaecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyosun KimDepartment of Obstetrics and Gynaecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jae-Hoon KimDepartment of Obstetrics and Gynaecology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jae Won YunVeterans Medical Research Institute, Veterans Health Service Medical Center, Seoul, Republic of Korea.
Eun-Suk KangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Seoul, Republic of Korea.
Gangnam Severance Hospital · KRSungkyunkwan University · KRNational Institutes of Health · USSamsung Medical Center · KRVeterans Health Service Medical Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objective: High-grade serous ovarian carcinoma (HGSOC) is the most common histologic type of epithelial ovarian cancer (EOC). Due to its poor survival outcomes, it is essential to identify novel biomarkers and therapeutic targets. The hippo pathway is crucial in various cancers, including gynaecological cancers. Herein, we examined the expression of the key genes of the hippo pathway and their relationship with clinicopathological significance, immune cells infiltration and the prognosis of HGSOC. Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data were curated to analyse the mRNA expression as well as the clinicopathological association and correlation with immune cell infiltration in HGSOC. The protein levels of significant genes in the HGSOC tissue were analysed using Tissue Microarray (TMA)-based immunohistochemistry. Finally, DEGs pathway analysis was performed to find the signalling pathways associated with VGLL3. Results: VGLL3 mRNA expression was significantly correlated with both advanced tumor stage and poor overall survival (OS) (p=0.046 and p=0.003, respectively). The result of IHC analysis also supported the association of VGLL3 protein with poor OS. Further, VGLL3 expression was significantly associated with tumor infiltrating macrophages. VGLL3 expression and macrophages infiltration were both found to be independent prognostic factors (p=0.003 and p=0.024, respectively) for HGSOC. VGLL3 was associated with four known and three novel cancer-related signalling pathways, thus implying that VGLL3 is involved in the deregulation of many genes and pathways. Conclusion: Our study revealed that VGLL3 may play a distinct role in clinical outcomes and immune cell infiltration in patients with HGSOC and that it could potentially be a prognostic marker of EOC.

Indexed as

high-grade serous ovarian carcinomahippo pathwaymacrophageprognosisVGLL3

Identifiers

PMID37342190
PMCPMC10277618
OpenAlexW4379472996

What OpenQuestion holds

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LicenceCC BY
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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.