Evidence map›Paper›PMID 37718386›Full record

ReviewMolecular biomedicine2023

Extranodal lymphoma: pathogenesis, diagnosis and treatment.

Hua Yang, Yang Xun, Chao Ke, Kensuke Tateishi, Hua You

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
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  10. Article
  11. Article
  12. Review
  13. Imaging Findings of Thoracic Extranodal Lymphoma: A Pictorial Essay.Journal of the Korean Society of Radiology · 2025
    Review
  14. [Comparison of clinical characteristics between nasal cavity and sinus NK/T-cell lymphoma and diffuse large B-cell lymphoma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Article
  15. Article
  16. Article
  17. 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

5 authors at 4 institutions in 2 countries.

Hua Yang *Department of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, 528000, China.
Yang Xun *Department of Basic Medicine and Biomedical Engineering, School of Medicine, Foshan University, Foshan, 528000, China.
Chao KeDepartment of Neurosurgery and Neuro-Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Kensuke TateishiDepartment of Neurosurgery, Graduate School of Medicine, Yokohama City University, Yokohama, 2360004, Japan.
Hua YouLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatrics, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation base of Child development and Critical Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 401122, China. youhua307@163.com.
Foshan University · CNChina International Science and Technology Cooperation · CNSun Yat-sen University · CNYokohama City University · JP

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515010083Basic and Applied Basic Research Project of Guangdong Province 2020A1515111201National Natural Science Foundation of China 81911530169National Natural Science Foundation of China 82203213National Natural Science Foundation of China 82203844University Special Innovative Research Program of Department of Education of Guangdong Province 2020KQNCX073
6 · The paper itself

Abstract

Approximately 30% of lymphomas occur outside the lymph nodes, spleen, or bone marrow, and the incidence of extranodal lymphoma has been rising in the past decade. While traditional chemotherapy and radiation therapy can improve survival outcomes for certain patients, the prognosis for extranodal lymphoma patients remains unsatisfactory. Extranodal lymphomas in different anatomical sites often have distinct cellular origins, pathogenic mechanisms, and clinical manifestations, significantly influencing their diagnosis and treatment. Therefore, it is necessary to provide a comprehensive summary of the pathogenesis, diagnosis, and treatment progress of extranodal lymphoma overall and specifically for different anatomical sites. This review summarizes the current progress in the common key signaling pathways in the development of extranodal lymphomas and intervention therapy. Furthermore, it provides insights into the pathogenesis, diagnosis, and treatment strategies of common extranodal lymphomas, including gastric mucosa-associated lymphoid tissue (MALT) lymphoma, mycosis fungoides (MF), natural killer/T-cell lymphoma (nasal type, NKTCL-NT), and primary central nervous system lymphoma (PCNSL). Additionally, as PCNSL is one of the extranodal lymphomas with the worst prognosis, this review specifically summarizes prognostic indicators and discusses the challenges and opportunities related to its clinical applications. The aim of this review is to assist clinical physicians and researchers in understanding the current status of extranodal lymphomas, enabling them to make informed clinical decisions that contribute to improving patient prognosis.

Indexed as

DiagnosisExtranodal lymphomaPrognosisSignaling pathwayTreatment

Identifiers

PMID37718386
PMCPMC10505605
OpenAlexW4386810713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.