Evidence map›Paper›PMID 27927582›Full record

ArticleThe Lancet. Oncology2017

Clonal haemopoiesis and therapy-related myeloid malignancies in elderly patients: a proof-of-concept, case-control study.

Nancy K Gillis, Markus Ball, Qing Zhang, Zhenjun Ma, YuLong Zhao, Sean J Yoder, Maria E Balasis, Tania E Mesa, David A Sallman, Jeffrey E Lancet and 8 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in The Lancet. Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 4 pooled it
20.9field-weighted citation impact, top 1% 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

175 citing papers in PubMed, 4 syntheses or guidelines pooled it, 308 citations in OpenAlex.

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115 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 1 institution in 1 country.

Nancy K GillisDeBartolo Family Personalised Medicine Institute, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Department of Cancer Epidemiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Center for Pharmacogenomics and Individualised Therapy, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
Markus BallDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Qing ZhangDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Zhenjun MaDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
YuLong ZhaoDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Sean J YoderMolecular Genomics Core, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Maria E BalasisDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Tania E MesaMolecular Genomics Core, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
David A SallmanDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Jeffrey E LancetDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Rami S KomrokjiDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Alan F ListDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Howard L McLeodDeBartolo Family Personalised Medicine Institute, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Department of Cancer Epidemiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Melissa AlsinaDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Rachid BazDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Kenneth H ShainDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Dana E RollisonDeBartolo Family Personalised Medicine Institute, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA; Department of Cancer Epidemiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Eric PadronDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. Electronic address: Eric.Padron@moffitt.org.
Moffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundClonal haemopoiesis of indeterminate potential (CHIP) is an age-associated genetic event linked to increased risk of primary haematological malignancies and increased all-cause mortality, but the prevalence of CHIP in patients who develop therapy-related myeloid neoplasms is unknown. We did this study to investigate whether chemotherapy-treated patients with cancer who have CHIP are at increased risk of developing therapy-related myeloid neoplasms.

methodsWe did a nested, case-control, proof-of-concept study to compare the prevalence of CHIP between patients with cancer who later developed therapy-related myeloid neoplasms (cases) and patients who did not develop these neoplasms (controls). We identified cases from our internal biorepository of 123 357 patients who consented to participate in the Total Cancer Care biobanking protocol at Moffitt Cancer Center (Tampa, FL, USA) between Jan 1, 2006, and June 1, 2016. We included all individuals who were diagnosed with a primary malignancy, were treated with chemotherapy, subsequently developed a therapy-related myeloid neoplasm, and were 70 years or older at either diagnosis. For inclusion in this study, individuals must have had a peripheral blood or mononuclear cell sample collected before the diagnosis of therapy-related myeloid neoplasm. Controls were individuals who were diagnosed with a primary malignancy at age 70 years or older and were treated with chemotherapy but did not develop therapy-related myeloid neoplasms. Controls were matched to cases in at least a 4:1 ratio on the basis of sex, primary tumour type, age at diagnosis, smoking status, chemotherapy drug class, and duration of follow-up. We used sequential targeted and whole-exome sequencing and described clonal evolution in cases for whom paired CHIP and therapy-related myeloid neoplasm samples were available. The primary endpoint of this study was the development of therapy-related myeloid neoplasm and the primary exposure was CHIP.

findingsWe identified 13 cases and 56 case-matched controls. The prevalence of CHIP in all patients (23 [33%] of 69 patients) was higher than has previously been reported in elderly individuals without cancer (about 10%). Cases had a significantly higher prevalence of CHIP than did matched controls (eight [62%] of 13 cases vs 15 [27%] of 56 controls, p=0·024; odds ratio 5·75, 95% CI 1·52-25·09, p=0·013). The most commonly mutated genes in cases with CHIP were TET2 (three [38%] of eight patients) and TP53(three [38%] of eight patients), whereas controls most often had TET2 mutations (six [40%] of 15 patients). In most (four [67%] of six patients) cases for whom paired CHIP and therapy-related myeloid neoplasm samples were available, the mean allele frequency of CHIP mutations had expanded by the time of the therapy-related myeloid neoplasm diagnosis. However, a subset of paired samples (two [33%] of six patients) had CHIP mutations that decreased in allele frequency, giving way to expansion of a distinct mutant clone.

interpretationPatients with cancer who have CHIP are at increased risk of developing therapy-related myeloid neoplasms. The distribution of CHIP-related gene mutations differs between individuals with therapy-related myeloid neoplasm and those without, suggesting that mutation-specific differences might exist in therapy-related myeloid neoplasm risk.

fundingMoffitt Cancer Center.

Indexed as

AgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCase-Control StudiesClone CellsFemaleFloridaFollow-Up StudiesHematopoiesisHigh-Throughput Nucleotide SequencingHumansIncidenceLeukemia, Myeloid, AcuteMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID27927582
PMCPMC7771361
OpenAlexW2558446569

What OpenQuestion 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 OpenQuestion graph.