Evidence map›Paper›PMID 34751872›Full record

ArticleAnnals of surgical oncology2022

The Novel Tumor Microenvironment-Related Prognostic Gene AIF1 May Influence Immune Infiltrates and is Correlated with TIGIT in Esophageal Cancer.

Xiaoling Xu, Ding Wang, Na Li, Jiamin Sheng, Mingying Xie, Zichao Zhou, Guoping Cheng, Yun Fan

Abstract read
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In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Xiaoling Xu *Department of Thoracic Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou City, China.
Ding Wang *The Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, China.
Na LiThe Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, China.
Jiamin ShengDepartment of Thoracic Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou City, China.
Mingying XieThe Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, China.
Zichao ZhouThe Second Clinical Medical College of Zhejiang, Chinese Medical University, Hangzhou, China.
Guoping ChengKey Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou City, China.
Yun FanDepartment of Thoracic Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou City, China. fanyun1218@163.com.
Zhejiang Chinese Medical University · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNZhejiang Cancer Hospital · CN

Funding

Medical Science and Technology Project of Zhejiang Province 2018KY024Medical Science and Technology Project of Zhejiang Province 2018RC020National Natural Science Foundation of China 81802995Zhejiang Province Public Welfare Funds LGF19H280004
6 · The paper itself

Abstract

backgroundEsophageal carcinoma (EC) is the sixth most common cause of cancer-related mortality worldwide. Studying the associations of the tumor microenvironment (TME) with pathology and prognosis would illustrate the underlying mechanism of prognostic prediction and provide novel targets for immunotherapy in the treatment of EC.

methodsTranscriptomic profiles of 159 EC patients were obtained from The Cancer Genome Atlas (TCGA) database. Stromal and immune scores were calculated using the ESTIMATE algorithm. Differentially expressed genes (DEGs) were identified by the optimal score cutoff. Functional enrichments were analyzed by DAVID, while prognostic genes were explored using the Kaplan-Meier method. Validation analysis was performed using immunohistochemistry in tissue microarrays containing samples from 145 EC patients. Multiplex immunofluorescence staining was performed to detect a panel of 6 immune markers, including T-cell immunoreceptor with Ig and ITIM domains (TIGIT), in 90 EC patients.

resultsImmune scores significantly increased with increasing age, while stromal scores were dramatically elevated with increasing tumor stage. Fifteen TME-related DEGs including allograft inflammatory factor 1 (AIF1) were identified as prognostic factors of EC. Furthermore, the validation cohort indicated that AIF1 was negatively associated with the prognosis of esophageal squamous cell carcinoma patients. Subsequent analyses suggested that AIF1 may affect immune infiltrates, including T cells and natural-killer cells. Moreover, a correlation between AIF1 and TIGIT was identified.

conclusionsThese results indicate that the TME-related gene AIF1 is a promising predictor of prognosis and is related to immune infiltrates and TIGIT expression in EC. However, further mechanistic studies are needed.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaBiomarkers, TumorCalcium-Binding ProteinsGene Expression Regulation, NeoplasticHumansMicrofilament ProteinsPrognosisReceptors, ImmunologicTumor MicroenvironmentAIF1 protein, humanBiomarkers, TumorCalcium-Binding ProteinsMicrofilament ProteinsReceptors, ImmunologicTIGIT protein, human

Identifiers

PMID34751872
OpenAlexW3213561174

What OpenQuestion holds

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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.