Evidence map›Paper›PMID 36204371›Full record

ArticleFrontiers in nutrition2022

From tumor mutational burden to characteristic targets analysis: Identifying the predictive biomarkers and natural product interventions in cancer management.

Cun Liu, Yang Yu, Ge Wang, Jingyang Liu, Ruijuan Liu, Lijuan Liu, Xiaoxu Yang, Huayao Li, Chundi Gao, Yi Lu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. 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
0.1field-weighted citation impact, top 60% 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. Review
  2. Article
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 5 institutions in 1 country.

Cun LiuCollege of Traditional Chinese Medicine, Weifang Medical University, Weifang, China.
Yang YuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ge WangClinical Medical Colleges, Weifang Medical University, Weifang, China.
Jingyang LiuFirst School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ruijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Lijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Xiaoxu YangSchool of Life Sciences and Technology, Weifang Medical University, Weifang, China.
Huayao LiCollege of Traditional Chinese Medicine, Weifang Medical University, Weifang, China.
Chundi GaoFirst School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Yi LuDepartment of Clinical Nutrition, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, China.
Jing ZhuangDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, China.
Weifang Medical University · CNShandong University of Traditional Chinese Medicine · CNWeifang Chinese Medicine Hospital · CNQingdao University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput next-generation sequencing (NGS) provides insights into genome-wide mutations and can be used to identify biomarkers for the prediction of immune and targeted responses. A deeper understanding of the molecular biological significance of genetic variation and effective interventions is required and ultimately needs to be associated with clinical benefits. We conducted a retrospective observational study of patients in two cancer cohorts who underwent NGS in a "real-world" setting. The association between differences in tumor mutational burden (TMB) and clinical presentation was evaluated. We aimed to identify several key mutation targets and describe their biological characteristics and potential clinical value. A pan-cancer dataset was downloaded as a verification set for further analysis and summary. Natural product screening for the targeted intervention of key markers was also achieved. The majority of tumor patients were younger adult males with advanced cancer. The gene identified with the highest mutation rate was

Indexed as

APCLRP1Bnext-generation sequencingtargeted therapy and immunotherapytumor mutation burden

Identifiers

PMID36204371
PMCPMC9530334
OpenAlexW4297906106

What OpenQuestion holds

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LicenceCC BY
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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.