Evidence map›Paper›PMID 36059700›Full record

ArticleFrontiers in oncology2022

Integrated driver mutations profile of chinese gastrointestinal-natural killer/T-cell lymphoma.

Shanshan Li, Tingzhi Liu, Hailing Liu, Xiaohui Zhai, Taiyuan Cao, Hongen Yu, Wanjia Hong, Xiaoru Lin, Ming Li, Yan Huang and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
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

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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. 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.

Shanshan LiDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Tingzhi LiuGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hailing LiuGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaohui ZhaiDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Taiyuan CaoDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Hongen YuDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Wanjia HongDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Xiaoru LinDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Ming LiDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.
Yan HuangGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jian XiaoDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun-Yat Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the most common nasal external sites in extranodal Natural Killer/T-cell lymphoma (NKTCL) is in the gastrointestinal (GI) system. Despite this, reports on gastrointestinal-Natural Killer/T-cell lymphoma (GI-NKTCL) are very few. To obtain a better understanding of this manifestation of NKTCL, we conducted a retrospective study on GI-NKTCL to analyze its clinical features, genomic changes and immune infiltration. Methods: We retrospectively collected patients diagnosed with GI-NKTCL in the Sixth Affiliated Hospital of Sun Yat-sen University from 2010 to 2020. From this cohort we obtained mutation data Results: Genomic analysis from 15 patients with GI-NKTCL showed that the most common driving mutations were ARID1B(14%, 2/15), ERBB3(14%, 2/15), POT1(14%, 2/15), and TP53(14%, 2/15). In addition, we found the most common gene mutation in patients with GI-NKTCL to be RETSAT(29%, 4/15) and SNRNP70(21%, 3/15), and the most common hallmark pathway mutations to be G2M checkpoint pathway (10/15, 66.7%), E2F targets (8/15, 53.3%), estrogen response late (7/15, 46.7%), estrogen response early (7/15, 46.7%), apoptosis (7/15, 46.7%) and TNFA signaling Conclusions: In this study, we explored GI-NKTCL by means of genomic analysis, and identified the most common mutant genes (RETSAT and SNRNP70), pathway mutations (G2M checkpoint and E2F targets) in GI-NKTCL patients. Also, we explored the association between the common mutant genes and immune infiltration. Our aim is that our exploration of these genomic changes will aid in the discovery of new biomarkers and therapeutic targets for those with GI-NKTCL, and finally provide a theoretical basis for improving the treatment and prognosis of patients with GI-NKTCL.

Indexed as

driver genegastrointestinal-natural killer/T-cell lymphoma (GI-NKTCL)genomic analysisimmune infiltrationmutation

Identifiers

PMID36059700
PMCPMC9434212

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