Evidence map›Paper›PMID 28027320›Full record

ArticlePLoS medicine2016

Genomic Analysis of Uterine Lavage Fluid Detects Early Endometrial Cancers and Reveals a Prevalent Landscape of Driver Mutations in Women without Histopathologic Evidence of Cancer: A Prospective Cross-Sectional Study.

Navya Nair, Olga Camacho-Vanegas, Dmitry Rykunov, Matthew Dashkoff, Sandra Catalina Camacho, Cassie A Schumacher, Jonathan C Irish, Timothy T Harkins, Elijah Freeman, Isaac Garcia and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03538665 (The DETECT Study - Discovery and Evaluation of Testing for Endometrial and Ovarian Cancer in Tampons), which is not on this map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
4.5field-weighted citation impact, top 5% 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.

NCT03538665 recruitingnot on this mapstarted 2019, after this paper: background citation

The DETECT Study - Discovery and Evaluation of Testing for Endometrial and Ovarian Cancer in Tampons: Tampon and Tissue Sampling to Evaluate Markers for Detection of Endometrial and Ovarian Cancer

TypeobservationalSponsorUniversity of Alabama at BirminghamRan2019 to 2027Enrolled1,700ConditionsEndometrial Cancer, Endometrial Cancer Precursors, Ovarian Cancer, Complex Atypical Endometrial Hyperplasia
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 98 citations in OpenAlex.

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  17. Uterine lavage identifies cancer mutations and increasedCancer research communications · 2022
    Article
  18. Article
  19. New Perspectives on the Importance of Cell-Free DNA Biology.Diagnostics (Basel, Switzerland) · 2022
    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

18 authors at 4 institutions in 1 country.

Navya NairDepartment of Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0002-5223-4808
Olga Camacho-VanegasDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0002-5223-4808
Dmitry RykunovDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0001-8610-6540
Matthew DashkoffDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0003-4059-4467
Sandra Catalina CamachoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Cassie A SchumacherSwift Biosciences, Ann Arbor, Michigan, United States of America.
Jonathan C IrishSwift Biosciences, Ann Arbor, Michigan, United States of America.
Timothy T HarkinsSwift Biosciences, Ann Arbor, Michigan, United States of America.
Elijah FreemanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0002-1101-0971
Isaac GarciaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0002-3999-495X
Elena PereiraDepartment of Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0001-5310-9155
Sviatoslav KendallDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0002-5368-5109
Rachel BelferJefferson School of Medicine, Philadelphia, Pennsylvania, United States of America.
Tamara KalirDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID http://orcid.org/0000-0001-9267-2426
Boris RevaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Peter DottinoDepartment of Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
John A MartignettiDepartment of Obstetrics, Gynecology and Reproductive Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Icahn School of Medicine at Mount Sinai · USMichigan United · USJefferson College · USWestern Connecticut Health Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial cancer is the most common gynecologic malignancy, and its incidence and associated mortality are increasing. Despite the immediate need to detect these cancers at an earlier stage, there is no effective screening methodology or protocol for endometrial cancer. The comprehensive, genomics-based analysis of endometrial cancer by The Cancer Genome Atlas (TCGA) revealed many of the molecular defects that define this cancer. Based on these cancer genome results, and in a prospective study, we hypothesized that the use of ultra-deep, targeted gene sequencing could detect somatic mutations in uterine lavage fluid obtained from women undergoing hysteroscopy as a means of molecular screening and diagnosis. METHODS AND

findingsUterine lavage and paired blood samples were collected and analyzed from 107 consecutive patients who were undergoing hysteroscopy and curettage for diagnostic evaluation from this single-institution study. The lavage fluid was separated into cellular and acellular fractions by centrifugation. Cellular and cell-free DNA (cfDNA) were isolated from each lavage. Two targeted next-generation sequencing (NGS) gene panels, one composed of 56 genes and the other of 12 genes, were used for ultra-deep sequencing. To rule out potential NGS-based errors, orthogonal mutation validation was performed using digital PCR and Sanger sequencing. Seven patients were diagnosed with endometrial cancer based on classic histopathologic analysis. Six of these patients had stage IA cancer, and one of these cancers was only detectable as a microscopic focus within a polyp. All seven patients were found to have significant cancer-associated gene mutations in both cell pellet and cfDNA fractions. In the four patients in whom adequate tumor sample was available, all tumor mutations above a specific allele fraction were present in the uterine lavage DNA samples. Mutations originally only detected in lavage fluid fractions were later confirmed to be present in tumor but at allele fractions significantly less than 1%. Of the remaining 95 patients diagnosed with benign or non-cancer pathology, 44 had no significant cancer mutations detected. Intriguingly, 51 patients without histopathologic evidence of cancer had relatively high allele fraction (1.0%-30.4%), cancer-associated mutations. Participants with detected driver and potential driver mutations were significantly older (mean age mutated = 57.96, 95% confidence interval [CI]: 3.30-∞, mean age no mutations = 50.35; p-value = 0.002; Benjamini-Hochberg [BH] adjusted p-value = 0.015) and more likely to be post-menopausal (p-value = 0.004; BH-adjusted p-value = 0.015) than those without these mutations. No associations were detected between mutation status and race/ethnicity, body mass index, diabetes, parity, and smoking status. Long-term follow-up was not presently available in this prospective study for those women without histopathologic evidence of cancer.

conclusionsUsing ultra-deep NGS, we identified somatic mutations in DNA extracted both from cell pellets and a never previously reported cfDNA fraction from the uterine lavage. Using our targeted sequencing approach, endometrial driver mutations were identified in all seven women who received a cancer diagnosis based on classic histopathology of tissue curettage obtained at the time of hysteroscopy. In addition, relatively high allele fraction driver mutations were identified in the lavage fluid of approximately half of the women without a cancer diagnosis. Increasing age and post-menopausal status were associated with the presence of these cancer-associated mutations, suggesting the prevalent existence of a premalignant landscape in women without clinical evidence of cancer. Given that a uterine lavage can be easily and quickly performed even outside of the operating room and in a physician's office-based setting, our findings suggest the future possibility of this approach for screening women for the earliest stages of endometrial cancer. However, our findings suggest that further insight into development of cancer or its interruption are needed before translation to the clinic.

Indexed as

DNA, NeoplasmGenomeMutationAdultAgedAged, 80 and overCross-Sectional StudiesEndometrial NeoplasmsFemaleHumansMiddle AgedProspective StudiesTherapeutic IrrigationUterusDNA, Neoplasm

Identifiers

PMID28027320
PMCPMC5189938
OpenAlexW2580698996

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.