Evidence map›Paper›PMID 33292562›Full record

ReviewExperimental hematology & oncology2020

Molecular insights into pathogenesis and targeted therapy of peripheral T cell lymphoma.

Caiqin Xie, Xian Li, Hui Zeng, Wenbin Qian

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Genetic Landscape of Peripheral T-Cell Lymphoma.Life (Basel, Switzerland) · 2022
    Review
  15. Article
  16. 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

4 authors.

Caiqin XieDepartment of Hematology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, 88# Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.
Xian LiDepartment of Hematology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, 88# Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.
Hui ZengDepartment of Hematology, First Affiliated Hospital of Jiaxing University, 1882# Zhonghuan South Road, Jiaxing, 314000, People's Republic of China. zhwuhan@163.com.
Wenbin QianDepartment of Hematology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, 88# Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China. qianwb@zju.edu.cn.ORCID http://orcid.org/0000-0002-9817-6674

Funding

National Natural Science Foundation of China 81830006Translational Research Grant of HCRCH 2020ZKZC01
6 · The paper itself

Abstract

Peripheral T-cell lymphomas (PTCLs) are biologically and clinically heterogeneous diseases almost all of which are associated with poor outcomes. Recent advances in gene expression profiling that helps in diagnosis and prognostication of different subtypes and next-generation sequencing have given new insights into the pathogenesis and molecular pathway of PTCL. Here, we focus on a broader description of mutational insights into the common subtypes of PTCL including PTCL not other specified type, angioimmunoblastic T-cell lymphoma, anaplastic large cell lymphoma, and extra-nodal NK/T cell lymphoma, nasal type, and also present an overview of new targeted therapies currently in various stages of clinical trials.

Indexed as

Gene mutationMolecular genetic characteristicsPeripheral T-cell lymphomaTargeted therapy

Identifiers

PMID33292562
PMCPMC7664070

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.