Evidence map›Paper›PMID 39604596›Full record

ArticleAnnals of hematology2024

Novel serous effusion-related risk models and biomarkers for predicting prognosis in T-cell lymphoma patients.

Juanjuan Shang, Xiaoli Zhou, Bingyu Liu, Shunfeng Hu, Xin Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Juanjuan ShangDepartment of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Xiaoli ZhouDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Jingwu Road, Jinan, Shandong, 250021, China.
Bingyu LiuDepartment of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
Shunfeng HuDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Jingwu Road, Jinan, Shandong, 250021, China. HuShunFeng0409@163.com.
Xin WangDepartment of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China. xinw007@126.com.

Funding

Academic Promotion Programme of Shandong First Medical University No. 2019QL018China Postdoctoral Science Foundation No. 2023M741506Key Research and Development Program of Shandong Province No.2018CXGC1213National Natural Science Foundation No.82270200, No.82070203 and No.81770210Shandong Provincial Engineering Research Center of Lymphoma NoneShandong Provincial Natural Science Foundation No. ZR2023QH193Taishan Scholars Program of Shandong Province NoneTranslational Research Grant of NCRCH No.2021WWB02, No.2020ZKMB01
6 · The paper itself

Abstract

T-cell lymphomas (TCLs) are a cluster of lymphoproliferative diseases with high heterogeneity, which lack accurate prognostic models and standard treatment regimen at present. Serous effusion (SE) is a relatively common manifestation and poses more challenges for risk stratification in TCLs. In this study, entire of 518 newly diagnosed TCLs patients were included. SE was found to be tightly correlated to clinical characteristics and prognosis in TCL patients, and SE volume (SEV) > 1000 ml was identified as a potential prognostic factor. Novel AEBS risk model, including age > 60, ECOG PS > 1, β2-microglobulin (BMG) > 3.0 mg/L and SEV > 1000 ml, which exerted superior efficacy for risk stratification compared to the current risk systems in TCL patients with SE. Besides, multiple RNA-seq datasets were used for the identification and function analysis of SE-related genes (SERGs). TCL patients in different SERGs-associated subgroups exhibited discrepancy in the infiltration of immunocytes and the expression of immune checkpoints. SERGs signature, including HIF1A, FERMT2, NFATC1 and COL1A1, was established and demonstrated to have distinguishing capacity for predicting prognosis in TCL patients. Moreover, immunohistochemistry revealed that SE-related molecule HIF1A was reductively expressed and related to inferior prognosis in TCL patients, especially in SE group. Pan-cancer analysis found HIF1A expression was decreased in several tumors, and chemosensitivity analysis revealed that HIF1A was associated with sensitivity of several anti-tumor drugs, such as Sorafenib, Navitoclax, and Venetoclax. Our findings provide evidence for identifying high-risk population and facilitating individualized treatment in TCL patients with SE.

Indexed as

Biomarkers, TumorLymphoma, T-CellAdultAgedAged, 80 and overbeta 2-MicroglobulinFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisRisk FactorsSulfonamidesbeta 2-MicroglobulinBiomarkers, TumorSulfonamidesChemosensitivityHIF1APrognosisSerous effusionT-cell lymphoma

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.