Evidence map›Paper›PMID 33251145›Full record

ReviewFrontiers in oncology2020

Targeting Bcl-2 Proteins in Acute Myeloid Leukemia.

Yunxiong Wei, Yaqing Cao, Rui Sun, Lin Cheng, Xia Xiong, Xin Jin, Xiaoyuan He, Wenyi Lu, Mingfeng Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
3.7field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
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  14. Molecularly targeted therapy and immunotherapy in leukemias.Journal of hematology & oncology · 2026
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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

9 authors at 3 institutions in 1 country.

Yunxiong WeiThe First Central Clinical College of Tianjin Medical University, Tianjin, China.
Yaqing CaoThe First Central Clinical College of Tianjin Medical University, Tianjin, China.
Rui SunThe First Central Clinical College of Tianjin Medical University, Tianjin, China.
Lin ChengThe First Central Clinical College of Tianjin Medical University, Tianjin, China.
Xia XiongThe First Central Clinical College of Tianjin Medical University, Tianjin, China.
Xin JinNankai University School of Medicine, Tianjin, China.
Xiaoyuan HeNankai University School of Medicine, Tianjin, China.
Wenyi LuDepartment of Hematology, Tianjin First Central Hospital, Tianjin, China.
Mingfeng ZhaoDepartment of Hematology, Tianjin First Central Hospital, Tianjin, China.
Tianjin Medical University · CNNankai University · CNTianjin First Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B cell lymphoma 2 (BCL-2) family proteins play an important role in intrinsic apoptosis. Overexpression of BCL-2 proteins in acute myeloid leukemia can circumvent resistance to apoptosis and chemotherapy. Considering this effect, the exploration of anti-apoptotic BCL-2 inhibitors is considered to have tremendous potential for the discovery of novel pharmacological modulators in cancer. This review outlines the impact of BCL-2 family proteins on intrinsic apoptosis and the development of acute myeloid leukemia (AML). Furthermore, we will also review the new combination therapy with venetoclax that overcomes resistance to venetoclax and discuss biomarkers of treatment response identified in early-phase clinical trials.

Indexed as

AML—acute myeloid leukemiaB cell lymphoma 2Bcl-2 proteinintrinsic apoptosisvenetoclax (ABT-199)

Identifiers

PMID33251145
PMCPMC7674767
OpenAlexW3095197701

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.