Evidence map›Paper›PMID 37581713›Full record

ReviewAnnals of hematology2024

Epigenetic alterations and advancement of lymphoma treatment.

Shuhui Zhuang, Zhaobo Yang, Zhuangzhuang Cui, Yuanyuan Zhang, Fengyuan Che

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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 2 institutions in 1 country.

Shuhui ZhuangAffiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China.
Zhaobo YangSpine Surgery, Linyi People's Hospital, Shandong University, Linyi, 276000, Shandong, China.
Zhuangzhuang CuiDepartment of Hematology, Linyi People's Hospital, Shandong University, Linyi, 276000, Shandong, China.
Yuanyuan ZhangDepartment of Hematology, Linyi People's Hospital, Shandong University, Linyi, 276000, Shandong, China. doctorzhangyy@163.com.ORCID http://orcid.org/0009-0007-7675-5863
Fengyuan CheDepartment of Neurology, Central Laboratory and Key Laboratory of Neurophysiology, Linyi People's Hospital, Shandong University, Linyi, 276000, China. che1971@126.com.
Shandong University · CNWeifang Medical University · CN

Funding

Natural Science Foundation of Shandong Province ZR2018PH014Postdoctoral Innovation Project of Shandong Province 201903077
6 · The paper itself

Abstract

Lymphomas, complex and heterogeneous malignant tumors, originate from the lymphopoietic system. These tumors are notorious for their high recurrence rates and resistance to treatment, which leads to poor prognoses. As ongoing research has shown, epigenetic modifications like DNA methylation, histone modifications, non-coding RNA regulation, and RNA modifications play crucial roles in lymphoma pathogenesis. Epigenetic modification-targeting drugs have exhibited therapeutic efficacy and tolerability in both monotherapy and combination lymphoma therapy. This review discusses pathogenic mechanisms and potential epigenetic therapeutic targets in common lymphomas, offering new avenues for lymphoma diagnosis and treatment. We also discuss the shortcomings of current lymphoma treatments, while suggesting potential areas for future research, in order to improve the prediction and prognosis of lymphoma.

Indexed as

LymphomaNeoplasmsDNA MethylationEpigenesis, GeneticHumansPrognosisEpigenetic drugsEpigeneticsLymphomaPathogenesisTherapeutic advances

Identifiers

PMID37581713
OpenAlexW4385827957

What OpenQuestion holds

Textmetadata
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.