Evidence map›Paper›PMID 39321421›Full record

ArticleBlood advances2024

Myeloid clonal hematopoiesis of indeterminate potential in patients with chronic lymphocytic leukemia.

Abi Vijenthira, Virginia O Volpe, Aswin Sekar, Roberta Santos Azevedo, Mariia Mikhaleva, Christopher J Gibson, Stephen P Martindale, Rayan Fardoun, Svitlana Tyekucheva, Yue Ren and 7 more

Abstract read
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

17 authors.

Abi VijenthiraDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0001-5369-1501
Virginia O VolpeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Aswin SekarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Roberta Santos AzevedoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Mariia MikhalevaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-2135-2051
Christopher J GibsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Stephen P MartindaleDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Rayan FardounDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Svitlana TyekuchevaDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3119-6507
Yue RenDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA.
Stacey M FernandesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Binyamin A KnisbacherThe Mina and Everard Goodman Faculty of Life Sciences, Ramat Gan, Israel.ORCID 0000-0002-4962-9956
Cynthia K HahnDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-8284-7261
Gad GetzDepartment of Medicine, Harvard Medical School, Boston, MA.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Matthew S DavidsDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.
Jennifer R BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0003-2040-4961

Funding

Physician Scientist Training in Cancer ResearchT32CA009172 · NCI · DANA-FARBER CANCER INSTITUTE · PI Jennifer R Brown, James A. DeCaprio · 1985 to 2026
$17.1M
ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI CARR, STEVEN A · 2016 to 2025
$17.0M
Genetic Predisposition to Chronic Lymphocytic Leukemia (CLL)R01CA258924 · NCI · DANA-FARBER CANCER INST · PI BROWN, JENNIFER R · 2021 to 2025
$3.1M
NCI NIH HHS P01 CA206978NCI NIH HHS R01 CA258924NCI NIH HHS T32 CA009172
6 · The paper itself

Abstract

abstractClonal hematopoiesis of indeterminate potential (CHIP) in patients with chronic lymphocytic leukemia (CLL) has not been extensively characterized. The objective of this study was to describe the prevalence of myeloid CHIP (M-CHIP) in patients with CLL, and to determine its association with time to first treatment (TTFT) and overall survival (OS). We retrospectively analyzed data from patients participating in a prospective CLL database at the Dana-Farber Cancer Institute who had standard-of-care targeted 95-gene next-generation sequencing (NGS) performed. A schema was devised to classify mutations as M-CHIP related. M-CHIP was analyzed as a binary (present/absent) and categorical (≥2 vs 1 vs 0 mutations) predictor. We included 966 patients (median age at time of NGS, 65 years; 38% female). Overall, 747 (77%) patients had NGS performed before CLL treatment, whereas 219 (23%) had it performed after receiving treatment. Median follow-up time from NGS was 1.9 years. The prevalence of M-CHIP in untreated (12%) and treated (24%) patients with CLL was similar to that described in previous literature. M-CHIP prevalence appeared to increase with age in untreated patients, but appeared consistent across age in treated patients, suggesting that treatment (85% had prior chemotherapy) may have an impact on M-CHIP emergence even in younger patients. The presence of ≥2 M-CHIP mutations was associated with OS, even accounting for prior treatment and age, but was driven by a small subset of patients (n = 28). M-CHIP was not associated with TTFT. These findings support continued work into characterizing the effects of M-CHIP in patients with CLL.

Indexed as

Clonal HematopoiesisLeukemia, Lymphocytic, Chronic, B-CellMutationAdultAgedAged, 80 and overFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisRetrospective Studies

Identifiers

PMID39321421
PMCPMC11629178

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.