Evidence map›Paper›PMID 36213580›Full record

ArticleComputational and mathematical methods in medicine2022

Molecular Analysis of Prognosis and Immune Infiltration of Ovarian Cancer Based on Homeobox D Genes.

Buze Chen, Cui Gao, Haihong Wang, Jieyun Sun, Zhengxiang Han

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 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

5 authors at 1 institution in 1 country.

Buze ChenDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.ORCID https://orcid.org/0000-0002-3864-6910
Cui GaoDepartment of Obstetrics, Jinhu County People's Hospital, Huai'an, 223000 Jiangsu, China.
Haihong WangDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.
Jieyun SunDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.
Zhengxiang HanDepartment of Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.ORCID https://orcid.org/0000-0003-2463-8933
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Homeobox D (HOXD) genes were associated with cancer pathogenesis. However, the role of HOXD genes in ovarian cancer (OC) and the possible mechanisms involved are unclear. In this study, we analyzed the function and regulatory mechanisms and functions of HOXD genes in OC based on comprehensive bioinformatics analysis. Methods: Expression of HOXD1/3/4/8/9/10/11/12/13 mRNA was analyzed between OC tissue and normal tissue using ONCOMINE, GEO, and TCGA databases. The relationship between HOXD expression and clinical stage was studied by GEPIA. The Kaplan-Meier plotter was used to analyze prognosis. cBioPortal was used to analyze the mutation and coexpression of HOXDs. GO and KEGG analyses were performed by the DAVID software to predict the function of HOXD coexpression genes. Immune infiltration analysis was used to evaluate the relationship between the expression of HOXD genes and 24 immune infiltrating cells. Results: The expression of HOXD3/4/8/9/10/11 was significantly lower in OC tissues than in normal ovarian tissues, while the expression of HOXD1/12/13 was significantly higher in OC tissues. The expression of HOXD genes was associated with FIGO stage, primary therapy outcome, tumor status, anatomic neoplasm subdivision, and age. The expression levels of HOXD1/3/4/8/9/10 correlated with tumor stage. HOXD1/8/9 could be served as ideal biomarkers to distinguish OC from normal tissue. Low HOXD9 expression was associated with shorter overall survival (OS) (HR: 0.75; 95% CI: 0.58-0.98; Conclusion: The expression of HOXD genes is associated with clinical characteristics. HOXD9 is a new biomarker of prognosis in OC, and HOXD1/4/8/9/10 may be potential therapeutic targets. The members of the HOXD genes may be the response to immunotherapy for OC.

Indexed as

Genes, HomeoboxOvarian NeoplasmsBiomarkers, TumorFemaleHumansPrognosisRNA, MessengerTransforming Growth Factor betaBiomarkers, TumorRNA, MessengerTransforming Growth Factor beta

Identifiers

PMID36213580
PMCPMC9537619
OpenAlexW4297968804

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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.