Evidence map›Paper›PMID 31793228›Full record

ArticleCancer medicine2020

Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer.

Yue Yu, Zhihua Li, Chenjun Huang, Haisheng Fang, Fei Zhao, Yue Zhou, Xianglong Pan, Qifan Li, Yu Zhuang, Liang Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Role of ANO1 in tumors and tumor immunity.Journal of cancer research and clinical oncology · 2022
    Review
  4. Article
  5. Article
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

12 authors at 3 institutions in 1 country.

Yue YuDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhihua LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chenjun HuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Haisheng FangDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fei ZhaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yue ZhouDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xianglong PanDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qifan LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yu ZhuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Liang ChenDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jing XuDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei WangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-1614-0759
Jiangsu Province Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe poor outcome of patients with esophageal squamous cell carcinoma (ESCC) highlights the importance of the identification of novel effective prognostic biomarkers. We aimed to identify a clinically applicable prognostic immunohistochemistry (IHC) panel for ESCC.

methodsAn integrated analysis was performed to screen and establish a prognostic panel using exome sequencing profile from 81 pairs of ESCC samples and RNA expression microarray data from 119 ESCC subjects. Two independent ESCC cohorts were recruited as training and validation groups to test the prognostic value.

resultsThree genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P < .001). Among them, ANO1 and MMP3 were reserved for the construction of the prognostic panel due to their significant association with the prognosis of ESCC patients (P = .015 and P < .001). Patients with both ANO1+ and MMP3+ had a poorer prognosis than that with ANO1-/MMP3+, ANO1+/MMP3-, or ANO1-/MMP3 - in both the training set and validation set (P < .001). Receiver operating characteristic analysis showed that the combination of IHC panel and eighth American Joint Commission on Cancer staging yielded a better prognostic predictive efficacy compared with the two indexes alone (P < .001, area under curve: 0.752). Finally, a nomogram was created by integrating the IHC markers and clinicopathological risk factors to predict prognosis with a C-index of 0.695 (95% confidence interval: 0.657-0.734).

conclusionUsing an integrated multistage screening strategy, we identified and validated a valuable prognostic IHC panel for ESCC.

Indexed as

NomogramsTranscriptomeBiomarkers, TumorCohort StudiesEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGenomicsHumansImmunohistochemistryMaleMiddle AgedPrognosisROC CurveBiomarkers, TumorANO1bioinformaticsesophageal squamous cell cancerMMP3prognosis

Identifiers

PMID31793228
PMCPMC6970036
OpenAlexW2992970261

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.