Evidence mapPaperPMID 41937490Full record

ReviewJournal of cellular and molecular medicine2026

Targeting BCL-xL in Myeloid Malignancies: From Inhibitors to PROTAC.

Daniela Cilloni, Alessandro Ferrando, Francesco Frassoni

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Daniela CilloniDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0001-6346-4791
Alessandro FerrandoDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Francesco FrassoniDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restoring apoptosis in malignant cells represents a central goal of anticancer therapy. Tumour cells often escape cell death by overexpressing anti-apoptotic members of the BCL-2 protein family, particularly BCL-2, BCL-xL, and MCL1. These proteins inhibit the intrinsic mitochondrial apoptotic pathway through intricate interactions with pro-apoptotic partners and direct modulation of the mitochondrial outer membrane. Their pivotal role in cell survival has established them as attractive therapeutic targets. Over the past two decades, significant efforts have been devoted to developing selective small-molecule inhibitors capable of neutralising these proteins and reactivating apoptosis. A first milestone was the discovery of ABT-263 (navitoclax), a dual BCL-2/BCL-xL inhibitor. Building on this achievement, the development of venetoclax, a highly selective BCL-2 inhibitor, marked a major breakthrough, demonstrating potent pro-apoptotic activity and clinical efficacy in several leukaemia subtypes. Despite these advances, the design of inhibitors of BCL-2 family members remains challenging, largely due to the structural characteristics of the BH3-binding groove, which is both shallow and hydrophobic, complicating the identification of molecules with optimal binding affinity and selectivity. PROTACs targeting BCL-xL may represent a promising future strategy, potentially overcoming the intrinsic limitations of small molecule inhibitors.

Indexed as

Antineoplastic Agentsbcl-X ProteinAniline CompoundsAnimalsApoptosisHumansMolecular Targeted TherapyProteolysis Targeting ChimeraSulfonamidesAniline CompoundsAntineoplastic Agentsbcl-X ProteinnavitoclaxProteolysis Targeting ChimeraSulfonamidesBCL‐2BCL‐2 inhibitorsBCL‐xLPROTAC

Identifiers

PMID41937490
PMCPMC13051998

What Socratic holds

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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 Socratic graph.