Evidence map›Paper›PMID 38115905›Full record

ArticleFrontiers in oncology2023

Tumor abnormal protein as a promising biomarker for screening solid malignancies and monitoring recurrence and metastasis.

Zhihui Zhang, Changjun Tian, Yuexuan Liu, Lin Zhang, Han Sun, Siqi He, Yujia Liu, Hui Fan, Yongsheng Zhang, Mingxin Gao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Zhihui Zhang *Department of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Changjun Tian *Department of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yuexuan Liu *Department of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Lin ZhangDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Han SunDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Siqi HeDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yujia LiuDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Hui FanDepartment of Pathology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yongsheng ZhangDepartment of Pathology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Mingxin GaoDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Shuhua WuDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Second Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor abnormal protein (TAP), the sugar chain protein released by tumor cells during metabolism, allows the development of a technique that exploits aggregated tumor-associated abnormal sugar chain signals in diagnosing malignancies. Clinically, we have found that TAP detection can well predict some malignancies, but several physicians have not paid attention, and related studies have been minimal. Methods: We evaluated TAP's ability to distinguish between malignancies and benign diseases by receiver operating characteristic (ROC) curve analysis and studied the possibility of monitoring malignancy progression by evaluating TAP levels in follow-up. We used Kaplan-Meier survival curves and Cox proportional hazard regression models to investigate the relationship between TAP and prognosis. Results: TAP levels were higher in whole solid malignancies and every type of solid malignancy than in benign patients. ROC curve analysis showed that TAP levels aid in distinguishing between malignancies and benign diseases. TAP levels decreased in patients with complete remission (CR) after treatment and increased in patients with relapse from CR. Patients with metastases had higher TAP levels than non-CR patients without metastases. There was no difference in overall survival among patients with different TAP levels, and multivariate analysis suggested that TAP was not an independent risk factor for solid malignancies. Conclusion: TAP is an effective screening biomarker for many solid malignancies that can be used to monitor the progression of malignancies but not to prognosticate.

Indexed as

diagnosticmetastasisprognosisrecurrencesolid malignanciestumor abnormal protein (TAP)tumor biomarkers

Identifiers

PMID38115905
PMCPMC10728811
OpenAlexW4389341926

What OpenQuestion holds

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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.