Evidence map›Paper›PMID 39592969›Full record

ArticleBMC cancer2024

Evaluating plasma antinuclear autoantibody profile as a prognostic biomarker in lymphoma.

Cuiling Zheng, Ruyun Gao, Yanrong Wang, Xiaohong Han

Abstract read
In one paragraph

Article in BMC cancer, 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
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0citing papers in PubMed
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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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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

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5 · Who and what money

Authors and funding

4 authors.

Cuiling Zheng *Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Ruyun Gao *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Yanrong WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Xiaohong HanClinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK and PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China. hanxiaohong@pumch.cn.

Funding

National Key Research and Development Program of China 2022YFC2703100National Science and Technology Major Project of China 2018ZX10302205-002
6 · The paper itself

Abstract

backgroundResearch on the antinuclear antibodies (ANA) profile across different pathological subtypes of lymphoma was limited. Our study aimed to assess ANA profile and investigate its potential prognostic value in lymphoma.

methodWe collected plasma samples from 139 lymphoma patients and analyzed the expression of plasma ANA, SSA, and SSB using the enzyme-linked immunosorbent assay (ELISA). Additionally, we focused on B-cell non-Hodgldn's lymphoma (B-NHL) for survival analysis.

resultsInfluencing factors for ANA profile levels included age (ANA: P = 0.0035, SSA: P = 0.0553, SSB: P = 0.0025), gender (SSA: P = 0.0436), serum IgG (ANA, P = 0.0385; SSA, P = 0.0175; SSB, P = 0.0291), and erythrocyte sedimentation rate (ESR) (SSA: P = 0.0380). In subtype comparisons, ANA and SSB levels were significantly lower in low-grade B-NHL compared to Hodgkin lymphoma (HL) (low-grade B-NHL vs. NHL: ANA, P = 0.0107; SSB, P = 0.0126). Aggressive NHL exhibited a higher ANA profile compared to indolent NHL (aggressive NHL vs. indolent NHL: ANA, P = 0.0262; SSA, P = 0.0136; SSB, P = 0.0280). Kaplan-Meier analyses identified SSA and SSB as potential prognostic biomarkers in patients with B-NHL undergoing chemotherapy.

conclusionOur study evaluated ANA profile in various subtypes of lymphoma and demonstrated the prognostic value of autoantibodies in predicting clinical outcomes. The results highlight the potential of incorporating ANA profile into the prognostic assessment of lymphoma.

Indexed as

Antibodies, AntinuclearBiomarkers, TumorAdolescentAdultAgedAged, 80 and overFemaleHumansLymphomaMaleMiddle AgedPrognosisYoung AdultAntibodies, AntinuclearBiomarkers, TumorAntinuclear antibodiesAutoantibodiesBiomarkerLymphoma

Identifiers

PMID39592969
PMCPMC11590230

What OpenQuestion holds

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LicenceCC BY
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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.