Evidence map›Paper›PMID 35792948›Full record

ArticleEsophagus : official journal of the Japan Esophageal Society2022

Urinary protein biomarker panel predicts esophageal squamous carcinoma from control cases and other tumors.

Linlin Ji, Jianping Wang, Bo Yang, Jianping Zhu, Yini Wang, Jiaqi Jiao, Kai Zhu, Min Zhang, Liqiang Zhai, Tongqing Gong and 3 more

Abstract read
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In one paragraph

Article in Esophagus : official journal of the Japan Esophageal Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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

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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 3 institutions in 1 country.

Linlin Ji *Department of Thoracic Surgery, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.ORCID 0000-0002-7949-7034
Jianping Wang *State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Bo Yang *Department of Thoracic Surgery, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.
Jianping ZhuDepartment of Thoracic Surgery, Henan Cancer Hospital, Zhengzhou, 450000, China.
Yini WangState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Jiaqi JiaoState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Kai ZhuDepartment of Thoracic Surgery, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.
Min ZhangDepartment of Oncology, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.
Liqiang ZhaiDepartment of Oncology, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.
Tongqing GongBeijing Pineal Health Management Co., Ltd, Beijing, 102206, China.
Changqing SunJoint Center for Translational Medicine, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China.
Jun QinState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China. jqin1965@126.com.
Guangshun WangDepartment of Thoracic Surgery, Baodi Clinical College, Tianjin Medical University, Tianjin, 301800, China. WGS@bddhospital.com.
Beijing Proteome Research Center · CNTianjin Medical University · CNHenan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiscovery of noninvasive urinary biomarkers for the early diagnosis of esophageal squamous carcinoma (ESCC).

methodsWe conducted proteomic analyses of 499 human urine samples obtained from healthy individuals (n = 321) and ESCC (n = 83), bladder cancer (n = 17), breast cancer (n = 12), colorectal cancer (n = 16), lung cancer (n = 33) and thyroid cancer (n = 17) patients from multiple medical centers. Those samples were divided into a discovery set (n = 247) and an independent validation set (n = 157).

resultsAmong urinary proteins identified in the comprehensive quantitative proteomics analysis, we selected a panel of three urinary biomarkers (ANXA1, S100A8, TMEM256), and established a logistic regression model in the discovery set that can correctly classify the majority of ESCC cases in the validation sets with the area under the curve (AUC) values of 0.825. This urinary biomarker panel not only discriminates ESCC patients from healthy individuals but also differentiates ESCC from other common tumors. Notably, the panel distinguishes stage I ESCC patients from healthy individuals with AUC values of 0.886. On the analysis of stage-specific biomarkers, another combination panel of protein (ANXA1, S100A8, SOD3, TMEM256) demonstrated a good AUC value of 0.792 for stage I ESCC.

conclusionsUrinary biomarker panel represents a promising auxiliary diagnostic tool for ESCC, including early-stage ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaArea Under CurveBiomarkers, TumorHumansProteomicsBiomarkers, TumorEsophageal squamous carcinomaProteomicsUrine biomarker

Identifiers

PMID35792948
OpenAlexW4283824658

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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.