Evidence map›Paper›PMID 36811800›Full record

ArticleClinical and experimental medicine2023

Identification of FAT4 as a positive prognostic biomarker in DLBCL by comprehensive genomic analysis.

Liyang Lv, Xiaolong Qi, Chun Wang, Yutong Ma, Yuling Nie, Renaguli Abulaiti, Fang Zhang, Qiping Shi, Zhen Kou, Muhebaier Abuduer and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

23 authors at 2 institutions in 1 country.

Liyang LvDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Xiaolong QiDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Chun WangDepartment of Pathology, The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Yutong MaGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China.
Yuling NieDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Renaguli AbulaitiDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Fang ZhangDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Qiping ShiGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China.
Zhen KouDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Muhebaier AbuduerDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Shunsheng ZhaiDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Li AnDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Qin HuangDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Zailinuer GuDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Qiuxiang OuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China.
Hong LiuDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Zengsheng WangDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Yang ShaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China.
Zhenzhu SunDepartment of Pathology, The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Ling FuDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Xiaomin WangDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Min MaoDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
Yan LiDepartment of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China. liyan232917@139.com.
People's Hospital of Xinjiang Uygur Autonomous Region · CNNanjing Medical University · CN

Funding

Xinjiang Uygur Autonomous Region Regional Collaborative Innovation Project 2020E0270
6 · The paper itself

Abstract

The molecular landscapes of diffuse large B-cell lymphoma (DLBCL) remained to be comprehensively investigated with an urgent need to identify novel prognostic biomarkers guiding prognostic stratification and disease monitoring. Baseline tumor samples of 148 DLBCL patients were analyzed using targeted next-generation sequencing (NGS) for mutational profiling, whose clinical reports were retrospectively reviewed. In this cohort, the subgroup of old DLBCL patients (age at diagnosis > 60, N = 80) exhibited significantly higher Eastern Cooperative Oncology Group scores and International Prognostic Index than their young counterparts (age at diagnosis ≤ 60, N = 68). As revealed by the NGS results, PIM1 (43.9%), KMT2D (31.8%), MYD88 (29.7%), and CD79B (27.0%) were identified as the most frequently mutated genes. Aberrations of genes of the immune escape pathway were significantly enriched in the young subgroup, while the altered epigenetic regulators were more abundant in the old patients. FAT4 mutation was identified as a positive prognostic biomarker, associated with longer progression-free survival and overall survival in the entire cohort and the old subgroup, using the Cox regression analyses. However, the prognostic function of FAT4 was not reproduced in the young subgroup. We comprehensively analyzed the pathological and molecular characteristics of old and young DLBCL patients and demonstrated the prognostic value of FAT4 mutation, which requires further validation with sizable cohorts in future research.

Indexed as

Lymphoma, Large B-Cell, DiffuseBiomarkersCadherinsGenomicsHumansPrognosisRetrospective StudiesTumor Suppressor ProteinsBiomarkersCadherinsFAT4 protein, humanTumor Suppressor ProteinsDLBCLFAT4IPI scorePrognosisTP53

Identifiers

PMID36811800
PMCPMC10543145
OpenAlexW4321479780

What OpenQuestion holds

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LicenceCC BY
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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.