Evidence map›Paper›PMID 33968789›Full record

ArticleFrontiers in oncology2021

Characteristics of Pan-Cancer Patients With Ultrahigh Tumor Mutation Burden.

Hong Yuan, Jun Ji, Min Shi, Yan Shi, Jing Liu, Junwei Wu, Chen Yang, Wenqi Xi, Qingyuan Li, Wei Zhu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Hong YuanDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun JiShanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min ShiDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan ShiDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing LiuDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junwei WuDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chen YangDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenqi XiDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qingyuan LiGenecast Biotechnology Co., Ltd, Wuxi, China.
Wei ZhuGenecast Biotechnology Co., Ltd, Wuxi, China.
Jingjie LiGenecast Biotechnology Co., Ltd, Wuxi, China.
Xiaoli GongGenecast Biotechnology Co., Ltd, Wuxi, China.
Jun ZhangDepartment of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ruijin Hospital · CNGenecast (China) · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor mutation burden has been proven to be a good predictor for the efficacy of immunotherapy, especially in patients with hypermutation. However, most research focused on the analysis of hypermutation in individual tumors, and there is a lack of integrated research on the hypermutation across different cancers. This study aimed to characterize hypermutated patients to distinguish between these patients and non-hypermutated patients.

methodsA total of 5,980 tumor samples involving 23 types of solid tumors from the in-house database were included in the study. Based on the cutoff value of tumor mutation burden (TMB), all samples were divided into hypermutated or non-hypermutated groups. Microsatellite instability status, PD-L1 expression and other mutation-related indicators were analyzed.

resultsAmong the 5,980 tumor samples, 1,164 were selected as samples with hypermutation. Compared with the non-hypermutated group, a significant increase in the mutation rates of DNA mismatch repair genes and polymerase genes was detected in the hypermutated group, and there was an overlap between high TMB and high microsatellite instability or high PD-L1. In addition, we found that EGFR, KRAS and PIK3CA had a high frequency of both single nucleotide variation and copy number variation mutations. These identified mutant genes were enriched in the oncogenic signaling pathway and the DNA damage repair pathway. At the same time, the somatic cell characteristics and distribution of the two groups were significantly different.

conclusionsThis study identified genetic and phenotypic characteristics of hypermutated tumors and demonstrated that DNA damage repair is critically involved in hypermutation.

Indexed as

hypermutationmismatch repairpan-cancerpolymerasetumor mutation burden

Identifiers

PMID33968789
PMCPMC8100597
OpenAlexW3161357281

What OpenQuestion holds

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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.