Evidence map›Paper›PMID 32809219›Full record

ArticleCancer2020

Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer.

Soyoun Rachel Kim, Alicia Tone, Raymond H Kim, Matthew Cesari, Blaise A Clarke, Lua Eiriksson, Tae Hart, Melyssa Aronson, Spring Holter, Alice Lytwyn and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

22 authors at 7 institutions in 1 country.

Soyoun Rachel KimDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.ORCID 0000-0002-5694-5439
Alicia ToneDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.
Raymond H KimFred A. Litwin Family Centre for Genetic Medicine, University Health Network, Toronto, Ontario, Canada.
Matthew CesariDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Blaise A ClarkeDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Lua EirikssonDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Juravinski Cancer Centre, McMaster University, Hamilton, Ontario, Canada.
Tae HartZane Cohen Centre for Digestive Diseases, Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID 0000-0002-5209-4059
Melyssa AronsonZane Cohen Centre for Digestive Diseases, Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital, Toronto, Ontario, Canada.
Spring HolterZane Cohen Centre for Digestive Diseases, Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital, Toronto, Ontario, Canada.
Alice LytwynDivision of Anatomical Pathology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Manjula MagantiDepartment of Biostatistics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Leslie OldfieldDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Steven GallingerDivision of General Surgery, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.
Marcus Q BernardiniDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.
Amit M OzaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.
Bojana DjordjevicDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Jordan Lerner-EllisDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3685-5679
Emily Van de LaarDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.
Danielle VicusDepartment of Obstetrics and Gynaecology, University of Toronto, Toronto, Ontario, Canada.
Trevor J PughDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Aaron PollettDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Sarah E FergusonDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Sinai Health Systems, Toronto, Ontario, Canada.ORCID 0000-0002-2123-3642
University Health Network · CAMount Sinai Hospital · CAUniversity of Toronto · CAJuravinski Cancer Centre · CAMcMaster University · CAOntario Institute for Cancer Research · CASunnybrook Health Science Centre · CA

Funding

Canadian Cancer Society Research Institute 704038
6 · The paper itself

Abstract

backgroundFor women with ovarian cancer (OC), the optimal screening strategy to identify Lynch syndrome (LS) has not been determined. In the current study, the authors compared the performance characteristics of various strategies combining mismatch repair (MMR) immunohistochemistry (IHC), microsatellite instability testing (MSI), and family history for the detection of LS.

methodsWomen with nonserous and/or nonmucinous ovarian cancer were recruited prospectively from 3 cancer centers in Ontario, Canada. All underwent germline testing for LS and completed a family history assessment. Tumors were assessed using MMR IHC and MSI. The sensitivity, specificity, and positive and negative predictive values of screening strategies were compared with the gold standard of a germline result.

resultsOf 215 women, germline data were available for 189 (88%); 13 women (7%) had pathogenic germline variants with 7 women with mutS homolog 6 (MSH6); 3 women with mutL homolog 1 (MLH1); 2 women with PMS1 homolog 2, mismatch repair system component (PMS2); and 1 woman with mutS homolog 2 (MSH2). A total of 28 women had MMR-deficient tumors (13%); of these, 11 had pathogenic variants (39%). Sequential IHC (with MLH1 promoter methylation analysis on MLH1-deficient tumors) followed by MSI for nonmethylated and/or MMR-intact patients was the most sensitive (92.3%; 95% confidence interval, 64%-99.8%) and specific (97.7%; 95% confidence interval, 94.2%-99.4%) approach, missing 1 case of LS. IHC with MLH1 promoter methylation analysis missed 2 patients of LS. Family history was found to have the lowest sensitivity at 55%.

conclusionsSequential IHC (with MLH1 promoter methylation analysis) followed by MSI was found to be most sensitive. However, IHC with MLH1 promoter methylation analysis also performed well and is likely more cost-effective and efficient in the clinical setting. The pretest probability of LS is high in patients with MMR deficiency and warrants universal screening for LS.

Indexed as

AdultAgedColorectal Neoplasms, Hereditary NonpolyposisFemaleHumansMass ScreeningMiddle AgedOvarian NeoplasmsProspective StudiesYoung AdultLynch syndromeovarian cancerscreeningtumor testing

Identifiers

PMID32809219
PMCPMC7693219
OpenAlexW3066177668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.