Evidence map›Paper›PMID 30093976›Full record

ArticleOncotarget2018

Clinical genetic testing outcome with multi-gene panel in Asian patients with multiple primary cancers.

Gloria H J Chan, Pei Yi Ong, Jeffrey J H Low, Hwai Loong Kong, Samuel G W Ow, David S P Tan, Yi Wan Lim, Siew Eng Lim, Soo-Chin Lee

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026
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  20. Multiple Primary Cancers in Patients Undergoing Tumor-Normal Sequencing Define Novel Associations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
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

9 authors at 2 institutions in 1 country.

Gloria H J ChanDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Pei Yi OngDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Jeffrey J H LowDepartment of Obstetrics and Gynaecology, National University Hospital, Singapore.
Hwai Loong KongDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Samuel G W OwDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
David S P TanDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Yi Wan LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Siew Eng LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
Soo-Chin LeeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore (NCIS), Singapore.
National University Cancer Institute, Singapore · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeveloping multiple cancers is an indicator of underlying hereditary cancer predisposition, but there is a paucity of data regarding the clinical genetic testing outcomes of these patients.

methodsWe compared cancer index patients with ≥2 primary malignancies versus 1 primary cancer who underwent clinical evaluation and testing with multi-gene panels comprising up to 49 genes from 1998-2016.

resultsAmong 1191 cancer index patients, 80.6%, 17.2%, and 2.2% respectively had 1, 2, and ≥3 primary malignancies. For patients with 2 primary cancers (n=205), the most common cancer pairs were bilateral breast (37.5%), breast-ovary (11.7%), endometrium-ovary (9.2%), colon-endometrium (3.9%) and colon-colon (3.4%). 42.3% patients underwent gene testing including 110/231 (47.6%) with multiple malignancies. Pathogenic variants were found more frequently in younger patients, in those with a family history of cancer related to the suspected syndrome, and a trend towards significance in those with multiple primary cancers (35.5% vs. 25.6%, p = 0.09). In patients with multiple cancers, pathogenic variants were most commonly identified in BRCA1 (38.5%), BRCA2 (17.9%), and the mismatch repair genes (20.5%), while 23.1% of pathogenic mutations were in other moderate- to high-penetrance cancer predisposition genes including APC, ATM, MUTYH, PALB2, RAD50 and TP53.

conclusionPatients with multiple cancers were more likely to carry pathogenic mutations than those with single cancer. About three-quarters of deleterious mutations in patients with multiple primary cancers were in BRCA1/2 and the mismatch repair genes, but multi-gene panel testing facilitated the detection of mutations in another 6 genes and is warranted in this high-risk population.

Indexed as

genetic testinggerm-line mutationmultiple primary/diagnosisneoplasms

Identifiers

PMID30093976
PMCPMC6078133
OpenAlexW2884995047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.