Evidence map›Paper›PMID 36136322›Full record

ArticleJAMA oncology2022

Differences in Cancer Phenotypes Among Frequent CHEK2 Variants and Implications for Clinical Care-Checking CHEK2.

Brittany L Bychkovsky, Nihat B Agaoglu, Carolyn Horton, Jing Zhou, Amal Yussuf, Parichehr Hemyari, Marcy E Richardson, Colin Young, Holly LaDuca, Deborah L McGuinness and 3 more

Open access · hybridAbstract read
In one paragraph

Article in JAMA oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
15.3field-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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Brittany L BychkovskyDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Nihat B AgaogluDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Carolyn HortonAmbry Genetics, Aliso Viejo, California.
Jing ZhouAmbry Genetics, Aliso Viejo, California.
Amal YussufAmbry Genetics, Aliso Viejo, California.
Parichehr HemyariAmbry Genetics, Aliso Viejo, California.
Marcy E RichardsonAmbry Genetics, Aliso Viejo, California.
Colin YoungAmbry Genetics, Aliso Viejo, California.
Holly LaDucaAmbry Genetics, Aliso Viejo, California.
Deborah L McGuinnessRensselaer Polytechnic Institute, Troy, New York.
Rochelle ScheibDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Judy E GarberDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Huma Q RanaDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Ambry Genetics (United States) · USCancer Genetics (United States) · USDana-Farber Cancer Institute · USRensselaer Polytechnic Institute · USÜmraniye Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Germline CHEK2 pathogenic variants (PVs) are frequently detected by multigene cancer panel testing (MGPT), but our understanding of PVs beyond c.1100del has been limited. Objective: To compare cancer phenotypes of frequent CHEK2 PVs individually and collectively by variant type. Design, Setting, and Participants: This retrospective cohort study was carried out in a single diagnostic testing laboratory from 2012 to 2019. Overall, 3783 participants with CHEK2 PVs identified via MGPT were included. Medical histories of cancer in participants with frequent PVs, negative MGPT (wild type), loss-of-function (LOF), and missense were compared. Main Outcomes and Measures: Participants were stratified by CHEK2 PV type. Descriptive statistics were summarized including median (IQR) for continuous variables and proportions for categorical characteristics. Differences in age and proportions were assessed with Wilcoxon rank sum and Fisher exact tests, respectively. Frequencies, odds ratios (ORs), 95% confidence intervals were calculated, and P values were corrected for multiple comparisons where appropriate. Results: Of the 3783 participants with CHEK2 PVs, 3473 (92%) were female and most reported White race. Breast cancer was less frequent in participants with p.I157T (OR, 0.66; 95% CI, 0.56-0.78; P<.001), p.S428F (OR, 0.59; 95% CI. 0.46-0.76; P<.001), and p.T476M (OR, 0.74; 95% CI, 0.56-0.98; P = .04) PVs compared with other PVs and an association with nonbreast cancers was not found. Following the exclusion of p.I157T, p.S428F, and p.T476M, participants with monoallelic CHEK2 PV had a younger age at first cancer diagnosis (P < .001) and were more likely to have breast (OR, 1.83; 95% CI, 1.66-2.02; P < .001), thyroid (OR, 1.63; 95% CI, 1.26-2.08; P < .001), and kidney cancer (OR, 2.57; 95% CI, 1.75-3.68; P < .001) than the wild-type cohort. Participants with a CHEK2 PV were less likely to have a diagnosis of colorectal cancer (OR, 0.62; 95% CI, 0.51-0.76; P < .001) compared with those in the wild-type cohort. There were no significant differences between frequent CHEK2 PVs and c.1100del and no differences between CHEK2 missense and LOF PVs. Conclusions and Relevance: CHEK2 PVs, with few exceptions (p.I157T, p.S428F, and p.T476M), were associated with similar cancer phenotypes irrespective of variant type. CHEK2 PVs were not associated with colorectal cancer, but were associated with breast, kidney, and thyroid cancers. Compared with other CHEK2 PVs, the frequent p.I157T, p.S428F, and p.T476M alleles have an attenuated association with breast cancer and were not associated with nonbreast cancers. These data may inform the genetic counseling and care of individuals with CHEK2 PVs.

Indexed as

Colorectal NeoplasmsGenetic Predisposition to DiseaseAllelesCheckpoint Kinase 2FemaleHumansMalePhenotypeRetrospective StudiesCheckpoint Kinase 2CHEK2 protein, human

Identifiers

PMID36136322
PMCPMC9501803
OpenAlexW4296686120

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.