Evidence map›Paper›PMID 34524226›Full record

ArticleJournal of the Chinese Medical Association : JCMA2021

Recent progress of biomarkers in oral cancers.

Kung-Hao Liang, Yi-Ying Lin, Su-Hua Chiang, En-Tung Tsai, Wen-Liang Lo, Chia-Lin Wang, Tsui-Ying Wang, Yi-Chen Sun, Shou-Yen Kao, Cheng-Hsien Wu and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2021. 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
0.4field-weighted citation impact, top 39% 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, 3 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
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 3 institutions in 1 country.

Kung-Hao LiangDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yi-Ying LinDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Su-Hua ChiangDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
En-Tung TsaiDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Wen-Liang LoDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chia-Lin WangDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Tsui-Ying WangDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yi-Chen SunDepartment of Ophthalmology, Taipei Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan, ROC.
Shou-Yen KaoDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Cheng-Hsien WuDepartment of Stomatology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Kai-Feng HungDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Taipei Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TWTaipei Tzu Chi Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancers are the seventh most common cancer globally. While progresses in oral cancer treatment have been made, not all patients respond to these therapies in the same way. To overcome this difficulty, numerous studies have been devoted to identifying biomarkers, which enable early identification of patients who may benefit from a particular treatment modality or at risk for poor prognosis. Biomarkers are protein molecules, gene expression, DNA variants, or metabolites that are derived from tumors, adjacent normal tissue or bodily fluids, which can be acquired before treatment and during follow-up, thus extending their use to the evaluation of cancer progression and prediction of treatment outcome. In this review, we employed a basic significance level (<0.05) as the minimal requirement for candidate biomarkers. Effect sizes of the biomarkers in terms of odds ratio, hazard ratio, and area under the receiver operating characteristic curves were subsequently used to evaluate the potential of their clinical use. We identified the CCND1 from the tumor, human papillomavirus, HSP70, and IL-17 from the peripheral blood, and high density of CD45RO+ tumor-infiltrating lymphocytes as the clinically relevant biomarkers for oral cancers.

Indexed as

Biomarkers, TumorHumansMouth NeoplasmsTaiwanBiomarkers, Tumor

Identifiers

PMID34524226
PMCPMC12966069
OpenAlexW3199816556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.