Evidence map›Paper›PMID 37146250›Full record

ArticleBlood2023

Genetic events associated with venetoclax resistance in CLL identified by whole-exome sequencing of patient samples.

Jasneet Kaur Khalsa, Justin Cha, Filippo Utro, Aishath Naeem, Ishwarya Murali, Yanan Kuang, Kevin Vasquez, Liang Li, Svitlana Tyekucheva, Stacey M Fernandes and 18 more

Open access · greenAbstract read
In one paragraph

Article in Blood, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

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  19. Biomarkers of Response to Venetoclax Therapy in Acute Myeloid Leukemia.International journal of molecular sciences · 2024
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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

28 authors at 5 institutions in 2 countries.

Jasneet Kaur KhalsaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0003-4656-8454
Justin ChaCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Filippo UtroIBM Research, Yorktown Heights, New York, NY.ORCID 0000-0003-3226-7642
Aishath NaeemDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Ishwarya MuraliDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Yanan KuangBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA.
Kevin VasquezBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-0062-9389
Liang LiCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Svitlana TyekuchevaDepartment of Data Sciences, Dana-Farber Cancer Institute, Harvard TH Chan School of Public Health, Boston, MA.ORCID 0000-0002-3119-6507
Stacey M FernandesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Lauren VeroneseService de Cytogénétique Médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0002-4414-7974
Romain GuiezeEA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France.
Binu Kandathilparambil SasiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0002-3325-9874
Zixu WangDepartment of Data Sciences, Dana-Farber Cancer Institute, Harvard TH Chan School of Public Health, Boston, MA.
John-Hanson MachadoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0003-0477-3476
Harrison BaiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Maryam AlasfourDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Kahn RhrissorrakraiIBM Research, Yorktown Heights, New York, NY.ORCID 0000-0002-1567-9090
Chaya LevovitzIBM Research, Yorktown Heights, New York, NY.
Brian P DanyshCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Kara SlowikCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Raquel A JacobsCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Matthew S DavidsDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Cloud P PaweletzBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA.
Ignaty LeshchinerCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Laxmi ParidaIBM Research, Yorktown Heights, New York, NY.
Gad GetzCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA.
Jennifer R BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0003-2040-4961
Broad Institute · USDana-Farber Cancer Institute · USHarvard University · USUniversité Clermont Auvergne · FRBrigham and Women's Hospital · US

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI CARR, STEVEN A · 2016 to 2025
$17.0M
Unlocking the Potential of PI3K Inhibition in CLLR01CA213442 · NCI · DANA-FARBER CANCER INST · PI BROWN, JENNIFER R · 2017 to 2021
$2.9M
NCI NIH HHS P01 CA206978NCI NIH HHS R01 CA213442
6 · The paper itself

Abstract

Although BCL2 mutations are reported as later occurring events leading to venetoclax resistance, many other mechanisms of progression have been reported though remain poorly understood. Here, we analyze longitudinal tumor samples from 11 patients with disease progression while receiving venetoclax to characterize the clonal evolution of resistance. All patients tested showed increased in vitro resistance to venetoclax at the posttreatment time point. We found the previously described acquired BCL2-G101V mutation in only 4 of 11 patients, with 2 patients showing a very low variant allele fraction (0.03%-4.68%). Whole-exome sequencing revealed acquired loss(8p) in 4 of 11 patients, of which 2 patients also had gain (1q21.2-21.3) in the same cells affecting the MCL1 gene. In vitro experiments showed that CLL cells from the 4 patients with loss(8p) were more resistant to venetoclax than cells from those without it, with the cells from 2 patients also carrying gain (1q21.2-21.3) showing increased sensitivity to MCL1 inhibition. Progression samples with gain (1q21.2-21.3) were more susceptible to the combination of MCL1 inhibitor and venetoclax. Differential gene expression analysis comparing bulk RNA sequencing data from pretreatment and progression time points of all patients showed upregulation of proliferation, B-cell receptor (BCR), and NF-κB gene sets including MAPK genes. Cells from progression time points demonstrated upregulation of surface immunoglobulin M and higher pERK levels compared with those from the preprogression time point, suggesting an upregulation of BCR signaling that activates the MAPK pathway. Overall, our data suggest several mechanisms of acquired resistance to venetoclax in CLL that could pave the way for rationally designed combination treatments for patients with venetoclax-resistant CLL.

Indexed as

Antineoplastic AgentsLeukemia, Lymphocytic, Chronic, B-CellBridged Bicyclo Compounds, HeterocyclicDrug Resistance, NeoplasmExome SequencingHumansMyeloid Cell Leukemia Sequence 1 ProteinProto-Oncogene Proteins c-bcl-2SulfonamidesAntineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicMyeloid Cell Leukemia Sequence 1 ProteinProto-Oncogene Proteins c-bcl-2Sulfonamidesvenetoclax

Identifiers

PMID37146250
PMCPMC10447490
OpenAlexW4372256450

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.