Evidence map›Paper›PMID 34950653›Full record

ArticleFrontiers in cell and developmental biology2021

Comprehensive Analysis of the Effects of Genetic Ancestry and Genetic Characteristics on the Clinical Evolution of Oral Squamous Cell Carcinoma.

Junfeng Guo, Xiaoping Liu, Yi Zeng, Taotao Liang, Kanglai Tang, Junfeng Guo, Weiwei Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Junfeng GuoSports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China.
Xiaoping LiuDepartment of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China.
Yi ZengDepartment of Stomatology, Southwest Hospital, Third Military Medical University, Chongqing, China.
Taotao LiangSports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China.
Kanglai TangSports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing, China.
Junfeng GuoDepartment of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China.
Weiwei ZhengDepartment of Stomatology, The 970th Hospital of the Joint Logistics Support Force, Yantai, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC), a kind of malignant cancer, is associated with increasing morbidity and mortality. Patients with different genetic ancestries may respond differently to clinical treatment. The limited understanding of the influence of genetic ancestry and genetic characteristics on OSCC impedes the development of precision medicine. To provide a reference for clinical treatment, this study comprehensively analyzed multigenomic differences in OSCC patients with different genetic ancestries and their impact on prognosis. An analysis of data from OSCC patients with different genetic ancestries in The Cancer Genome Atlas (TCGA) showed that the overall survival (OS) of African (AFR) patients was lower than that of primarily European (EUR) patients, and differences were also observed in the tumor-stroma ratio (TSR) and tumor-infiltrating lymphocytes (TILs), which are associated with prognosis.

Indexed as

genetic ancestrygenomic characteristicsOSCCprognosisTCGA

Identifiers

PMID34950653
PMCPMC8689072
OpenAlexW4200368540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.