Evidence map›Paper›PMID 32296035›Full record

ReviewSignal transduction and targeted therapy2020

Advances in targeted therapy for malignant lymphoma.

Li Wang, Wei Qin, Yu-Jia Huo, Xiao Li, Qing Shi, John E J Rasko, Anne Janin, Wei-Li Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

  1. Update on the relationship between theThe Journal of international medical research · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
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  8. Article
  9. Assessment of Expressor Lymphoma Prevalence in High-Grade Large B-cell Lymphomas: An Observational Analysis From a Tertiary Care Centre.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
  10. Article
  11. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  12. Article
  13. Review
  14. Article
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  18. Review
  19. Review
  20. Review

12 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 3 countries.

Li Wang *State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China.
Wei Qin *State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China.
Yu-Jia HuoState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China.
Xiao LiState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China.
Qing ShiState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China.ORCID http://orcid.org/0000-0003-1934-0833
John E J RaskoGene & Stem Cell Therapy Program Centenary Institute, Sydney Medical School, University of Sydney, Camperdown, Australia.ORCID http://orcid.org/0000-0003-3181-7198
Anne JaninPôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China.
Wei-Li ZhaoState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, China. zhao.weili@yahoo.com.
Shanghai Jiao Tong University · CNInserm · FRInstitut Français de la Vigne et du Vin · FRThe University of Sydney · AU

Funding

Shanghai Municipal Education Commission 20152208
6 · The paper itself

Abstract

The incidence of lymphoma has gradually increased over previous decades, and it ranks among the ten most prevalent cancers worldwide. With the development of targeted therapeutic strategies, though a subset of lymphoma patients has become curable, the treatment of refractory and relapsed diseases remains challenging. Many efforts have been made to explore new targets and to develop corresponding therapies. In addition to novel antibodies targeting surface antigens and small molecular inhibitors targeting oncogenic signaling pathways and tumor suppressors, immune checkpoint inhibitors and chimeric antigen receptor T-cells have been rapidly developed to target the tumor microenvironment. Although these targeted agents have shown great success in treating lymphoma patients, adverse events should be noted. The selection of the most suitable candidates, optimal dosage, and effective combinations warrant further investigation. In this review, we systematically outlined the advances in targeted therapy for malignant lymphoma, providing a clinical rationale for mechanism-based lymphoma treatment in the era of precision medicine.

Indexed as

ImmunotherapyMolecular Targeted TherapyAntibodies, MonoclonalAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsHumansLymphomaPrecision MedicineTumor MicroenvironmentAntibodies, MonoclonalAntineoplastic Agents

Identifiers

PMID32296035
PMCPMC7058622
OpenAlexW3009142496

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.