Evidence map›Paper›PMID 35945523›Full record

ArticleBMC cancer2022

Expression characteristic, immune signature, and prognosis value of EFNA family identified by multi-omics integrative analysis in pan-cancer.

Zonglin Jiao, Xiao Feng, Yuqing Cui, Lei Wang, Junqing Gan, Yanbin Zhao, Qingwei Meng

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
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  6. 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

7 authors at 3 institutions in 1 country.

Zonglin Jiao *Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Xiao Feng *Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yuqing Cui *Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Lei WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Junqing GanDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yanbin ZhaoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China. zhaoyanbin1978@sina.com.
Qingwei MengDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China. mengqw@hrbmu.edu.cn.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNShandong First Medical University · CN

Funding

Haiyan Foundation of Harbin Medical University Cancer Hospital JJZD2021-04National Natural Science Foundation of China 81672931
6 · The paper itself

Abstract

backgroundEphrinA (EFNA) are Eph receptor ligands that regulate various disease processes. Nonetheless, the expression characteristics of EFNAs in pan-cancer, their relationship with tumor immune microenvironment, and prognostic value landscape remain unknown.

methodsA comprehensive landscape of EFNAs was created using various statistical data extracted from 33 cancers. Subsequently, we identified differential expression, genetic variations, potential function enrichment, tumor immune-related analysis, and drug sensitivity. Further, we investigated the clinical features and diagnostic prognostic value of EFNAs. RT-qPCR, western blot and immunohistochemistry (IHC) were used to validate the expression level and significant clinical value of EFNA5 in lung adenocarcinoma cell lines and tissues.

resultsEFNAs were highly mutated in various cancers. Genomic and epigenetic alterations of EFNAs were observed in various tumors, where an oncogenic mutation in specific cancer types potentially affected EFNA expression. Moreover, tumor-derived EFNAs were significantly related to the tumor immune microenvironment, suggesting that they are promising therapeutic targets. The majority of EFNA family genes were significantly linked to patient prognosis. Eventually, EFNA5 was an independent prognostic factor in lung adenocarcinoma.

conclusionIn summary, EFNAs are crucial in tumor immune regulation, and EFNA5 is a prognostic marker in lung adenocarcinoma. Our findings provide new insights into EFNAs from a bioinformatics standpoint and highlight the significance of EFNAs in cancer diagnosis and treatment.

Indexed as

Adenocarcinoma of LungLung NeoplasmsEphrin-A5HumansPrognosisTumor MicroenvironmentEphrin-A5EFNA familyMulti-omics bioinformaticsPan-cancerTumor genesisTumor immune microenvironment

Identifiers

PMID35945523
PMCPMC9364540
OpenAlexW4291019227

What Socratic holds

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LicenceCC BY
Read underepoch 390

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.