Evidence map›Paper›PMID 34117903›Full record

ArticleJournal of gastroenterology2021

Comprehensive aptamer-based screen of 1317 proteins uncovers improved stool protein markers of colorectal cancer.

Hao Li, Kamala Vanarsa, Ting Zhang, Sanam Soomro, Pietro Antonio Cicalese, Valeria Duran, Shobha Dasari, Kyung Hyun Lee, Claudia Pedroza, John B Kisiel and 4 more

Abstract read
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In one paragraph

Article in Journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
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  8. Article
  9. [Construction of a fecal protein Luminex liquid chip detection system for early diagnosis of colorectal tumors].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    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

14 authors at 7 institutions in 2 countries.

Hao Li *Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Kamala Vanarsa *Department of Biomedical Engineering, University of Houston, Houston, USA.
Ting ZhangDepartment of Biomedical Engineering, University of Houston, Houston, USA.
Sanam SoomroDepartment of Biomedical Engineering, University of Houston, Houston, USA.
Pietro Antonio CicaleseDepartment of Biomedical Engineering, University of Houston, Houston, USA.
Valeria DuranDepartment of Biomedical Engineering, University of Houston, Houston, USA.
Shobha DasariDepartment of Biomedical Engineering, University of Houston, Houston, USA.
Kyung Hyun LeeCenter for Clinical Research and Evidence-Based Medicine, McGovern Medical School, UT Health Science Center At Houston, Houston, USA.
Claudia PedrozaCenter for Clinical Research and Evidence-Based Medicine, McGovern Medical School, UT Health Science Center At Houston, Houston, USA.
John B KisielDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, USA.
Huanlong QinDepartment of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Robert S BresalierDepartment of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, USA.
Nicholas ChiaDepartment of Surgical Research, Mayo Clinic, Rochester, USA.
Chandra MohanDepartment of Biomedical Engineering, University of Houston, Houston, USA. cmohan@central.uh.edu.
University of Houston · USCenter for Clinical Research (United States) · USMayo Clinic in Arizona · USMayo Clinic in Florida · USShanghai Tenth People's Hospital · CNThe University of Texas MD Anderson Cancer Center · USTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo screen and validate novel stool protein biomarkers of colorectal cancer (CRC).

methodsA novel aptamer-based screen of 1317 proteins was used to uncover elevated proteins in the stool of patients with CRC, as compared to healthy controls (HCs) in a discovery cohort. Selected biomarker candidates from the discovery cohort were ELISA validated in three independent cross-sectional cohorts comprises 76 CRC patients, 15 adenoma patients, and 63 healthy controls, from two different ethnicities. The expression of the potential stool biomarkers within CRC tissue was evaluated using single-cell RNA-seq datasets.

resultsA total of 92 proteins were significantly elevated in CRC samples as compared to HCs in the discovery cohort. Among Caucasians, the 5 most discriminatory proteins among the 16 selected proteins, ordered by their ability to distinguish CRC from adenoma and healthy controls, were MMP9, haptoglobin, myeloperoxidase, fibrinogen, and adiponectin. Except myeloperoxidase, the others were significantly associated with depth of tumor invasion. The 8 stool proteins with the highest AUC values were also discriminatory in a second cohort of Indian CRC patients. Several of the stool biomarkers elevated in CRC were also expressed within CRC tissue, based on the single-cell RNA-seq analysis.

conclusionsStool MMP9, fibrinogen, myeloperoxidase, and haptoglobin emerged as promising CRC stool biomarkers, outperforming stool Hemoglobin. Longitudinal studies are warranted to assess the clinical utility of these novel biomarkers in early diagnosis of CRC.

Indexed as

Aptamers, NucleotideFecesArea Under CurveBiomarkersColorectal NeoplasmsCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayHumansROC CurveStatistics, NonparametricAptamers, NucleotideBiomarkersBiomarkerColorectal cancerStool

Identifiers

PMID34117903
OpenAlexW3172182662

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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.