Evidence map›Paper›PMID 41507626›Full record

ArticleDiscover oncology2026

Lipopolysaccharide-binding proteins and vasodilator-stimulated phosphoproteins as novel screening biomarkers for advanced adenoma and colorectal cancer.

Chang Tan, Qian-Qian Wang, Yuan-Chen Zhou, Geng Qin, Shu-Kun Yao

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chang TanDepartment of Gastroenterology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-0969-1851
Qian-Qian WangDepartment of Gastroenterology, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID http://orcid.org/0000-0002-7709-2121
Yuan-Chen ZhouDepartment of Gastroenterology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-6024-6246
Geng QinDepartment of Gastroenterology, Peking University China-Japan Friendship School of Clinical Medicine, No.2 Yinghua East Road, Chaoyang District, Beijing, 100029, China.ORCID http://orcid.org/0000-0002-1197-2011
Shu-Kun YaoDepartment of Gastroenterology, Peking University China-Japan Friendship School of Clinical Medicine, No.2 Yinghua East Road, Chaoyang District, Beijing, 100029, China. shukunyao@126.com.ORCID http://orcid.org/0000-0002-8512-2589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced colorectal adenomas are precancerous lesions of colorectal cancer (CRC), and early screening and diagnosis are highly important for improving patient prognosis. However, traditional blood tumor markers have poor diagnostic efficacy for advanced adenoma (AA) and early-stage CRC.

methodsWe collected serum samples from normal controls, AA patients, and CRC patients (before and 48 h after surgery). Using the enzyme-linked immunosorbent assay method, we compared the serum lipopolysaccharide-binding protein (LBP) and vasodilator-stimulated phosphoprotein (VASP) levels among the three groups. Additionally, we analyzed and compared the serum LBP and VASP levels with the clinicopathological features of the tumors. Finally, we plotted receiver operating characteristic curves, calculated the area under curve and cutoff points, and evaluated the diagnostic efficacy of serum LBP and VASP for AA and CRC patients.

resultsSerum LBP and VASP levels were significantly greater in patients with AA and CRC than in healthy controls, and decreased significantly postoperatively compared with preoperatively. Compared with clinicopathological features, serum LBP levels were significantly greater in patients with severe dysplasia in adenomas, whereas serum VASP levels were significantly greater in patients with larger tumors, advanced stages, poorer tumor differentiation, and KRAS gene mutations. Compared with traditional tumor markers, serum LBP and VASP demonstrate good diagnostic efficacy for AA and CRC.

conclusionOur study innovatively proposes that the serum LBP and VASP proteins could serve as potential novel biomarkers for noninvasive screening of colorectal tumors, with better diagnostic efficacy than traditional blood tumor markers.

Indexed as

Advanced adenomaColorectal cancerEarly screeningLipopolysaccharide-binding proteinVasodilator-stimulated phosphoprotein

Identifiers

PMID41507626
PMCPMC12881242

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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.