Evidence map›Paper›PMID 40485393›Full record

ArticleThe American journal of surgical pathology2025

Clinicopathological, Genomic, and Transcriptomic Feature Analysis of Primary Adrenal Large B-cell Lymphoma: Insights Into Immune-privileged Sites.

Shijie Deng, Anqi Li, Zhongyu Wang, Xuejing Wang, Binshen Ouyang, Lingyan Zhu, Teng Yu, Li Jiang, Yue Fan, Xia Shen and 8 more

Abstract read
In one paragraph

Article in The American journal of surgical pathology, 2025. 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

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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Shijie DengDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-1957-5579
Anqi LiDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhongyu WangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xuejing WangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Binshen OuyangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lingyan ZhuDepartment of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Teng YuDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li JiangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue FanDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xia ShenDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haimin XuDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Miao RuanDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qian DaDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing WangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei DongDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zebing LiuDepartment of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hongmei YiDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chaofu WangDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary large B-cell lymphoma of immune-privileged sites (IP-LBCL) is a newly categorized disease entity in the 5th WHO Classification of Tumors. Through an analysis of 53 primary adrenal large B-cell lymphoma (PA-LBCL) cases, we unraveled the similarity to IP-LBCL in clinical presentation, pathologic features, and genetic landscape. Our findings reveal a predominant immunophenotype of CD10-/BCL6+/MUM1+ in PA-LBCL, mirroring that observed in IP-LBCL, and a shared mutation spectrum characterized by the notable presence of PIM1, MYD88 L265P, and CD79B mutations. In addition, the results of RNA sequencing showed that there are significant differences in the expression profiles of PA-LBCL and SA-LBCL. The top 5 RNAs with the most significant expression differences were RPL23AP82, IGSF21, CMKLR, PTPRG, and PRKCA. Moreover, PA-LBCL exhibited a more favorable prognosis than DLBCL-NOS with secondary adrenal involvement. The results of this study indicate that PA-LBCL shares similar clinical features, immunophenotypes, and molecular genetic profiles with IP-LBCL, suggesting that it may belong to a subtype of IP-LBCL. This research has improved our understanding of lymphoma, especially those occurring in atypical sites, and reshaped our concept of lymphoma classification and management. We suggest considering incorporating PA-LBCL into IP-LBCL in the future classification of lymphoma.

Indexed as

Adrenal Gland NeoplasmsBiomarkers, TumorLymphoma, Large B-Cell, DiffuseTranscriptomeAdultAgedAged, 80 and overFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansImmunophenotypingMaleMiddle AgedMutationTumor MicroenvironmentBiomarkers, Tumordiffuse large B-cell lymphomaprimary adrenal large B-cell lymphomaprimary large B-cell lymphoma of immune-privileged sites

Identifiers

PMID40485393
PMCPMC12435253

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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.