Evidence map›Paper›PMID 33996548›Full record

ReviewFrontiers in oncology2021

Biomarkers (mRNAs and Non-Coding RNAs) for the Diagnosis and Prognosis of Colorectal Cancer - From the Body Fluid to Tissue Level.

Jinhua He, Feifeng Wu, Zeping Han, Min Hu, Weida Lin, Yuguang Li, Mingrong Cao

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. mRNA-based therapeutic strategies for cancer treatment.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
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  15. International journal of general medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jinhua HeDepartment of Laboratory Medicine, Central Hospital of Panyu District, Guangzhou, China.
Feifeng WuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Zeping HanDepartment of Laboratory Medicine, Central Hospital of Panyu District, Guangzhou, China.
Min HuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Weida LinDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yuguang LiDepartment of Laboratory Medicine, Central Hospital of Panyu District, Guangzhou, China.
Mingrong CaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the diagnosis and treatment of colorectal cancer (CRC) have been continuously improved, but the mortality rate continues to be high, especially in advanced patients. CRC patients usually have no obvious symptoms in the early stage and are already in the advanced stage when they are diagnosed. The 5-year survival rate is only 10%. The blood markers currently used to screen for CRC, such as carcinoembryonic antigen and carbohydrate antigen 19-9, have low sensitivity and specificity, whereas other methods are invasive or too expensive. As a result, recent research has shifted to the development of minimally invasive or noninvasive biomarkers in the form of body fluid biopsies. Non-coding RNA molecules are composed of microRNAs, long non-coding RNAs, small nucleolar RNAs, and circular RNAs, which have important roles in the occurrence and development of diseases and can be utilized for the early diagnosis and prognosis of tumors. In this review, we focus on the latest findings of mRNA-ncRNA as biomarkers for the diagnosis and prognosis of CRC, from fluid to tissue level.

Indexed as

biomarkerscolorectal cancerdiagnosismRNAncRNAprognosis

Identifiers

PMID33996548
PMCPMC8118670

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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.