Evidence map›Paper›PMID 32218826›Full record

ArticleOncology letters2020

Implications of driver genes associated with a high tumor mutation burden identified using next-generation sequencing on immunotherapy in hepatocellular carcinoma.

Li Li, Xiaosong Rao, Zhaohong Wen, Xiaosheng Ding, Xiangyi Wang, Weiran Xu, Chao Meng, Yuting Yi, Yanfang Guan, Yongshen Chen and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Therapeutic Role of Synthetic Lethality inJournal of immunotherapy and precision oncology · 2024
    Review
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  8. The stage-dependent prognostic role ofTranslational cancer research · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. 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

12 authors at 3 institutions in 1 country.

Li LiDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Xiaosong RaoDepartment of Pathology, Peking University International Hospital, Beijing 102206, P.R. China.
Zhaohong WenGeneplus-Beijing Institute, Beijing 102206, P.R. China.
Xiaosheng DingDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Xiangyi WangDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Weiran XuDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Chao MengDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Yuting YiGeneplus-Beijing Institute, Beijing 102206, P.R. China.
Yanfang GuanGeneplus-Beijing Institute, Beijing 102206, P.R. China.
Yongshen ChenGeneplus-Beijing Institute, Beijing 102206, P.R. China.
Jiayin WangDepartment of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P.R. China.
Liang JunDepartment of Oncology, Peking University International Hospital, Beijing 102206, P.R. China.
Peking University · CNPeking University International Hospital · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapy is a treatment strategy for hepatocellular carcinoma (HCC); however, its clinical efficacy is limited to a select subset of patients. Next-generation sequencing has identified the value of tumor mutation burden (TMB) as a predictor for ICB efficacy in multiple types of tumor, including HCC. Specific driver gene mutations may be indicative of a high TMB (TMB-H) and analysis of such mutations may provide novel insights into the underlying mechanisms of TMB-H and potential therapeutic strategies. In the present study, a hybridization-capture method was used to target 1.45 Mb of the genomic sequence (coding sequence, 1 Mb), analyzing the somatic mutation landscape of 81 HCC tumor samples. Mutations in five genes were significantly associated with TMB-H, including mutations in tumor protein 53 (TP53), Catenin

Indexed as

cancer genomicsHCCimmune checkpoint blockadetumor mutation burden

Identifiers

PMID32218826
PMCPMC7068659
OpenAlexW3005414449

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.