Evidence map›Paper›PMID 32747365›Full record

ArticleCancer research2020

Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.

Ludwig Geistlinger, Sehyun Oh, Marcel Ramos, Lucas Schiffer, Rebecca S LaRue, Christine M Henzler, Sarah A Munro, Claire Daughters, Andrew C Nelson, Boris J Winterhoff and 11 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

92 citing papers in PubMed, 121 citations in OpenAlex.

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  18. Triptolide targetsFrontiers in pharmacology · 2026
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32 more citing papers are in PubMed but not listed here.

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

21 authors at 7 institutions in 1 country.

Ludwig GeistlingerGraduate School of Public Health and Health Policy, City University of New York, New York, New York.ORCID 0000-0002-2495-5464
Sehyun OhGraduate School of Public Health and Health Policy, City University of New York, New York, New York.ORCID 0000-0002-9490-3061
Marcel RamosGraduate School of Public Health and Health Policy, City University of New York, New York, New York.ORCID 0000-0002-3242-0582
Lucas SchifferGraduate School of Public Health and Health Policy, City University of New York, New York, New York.ORCID 0000-0003-3628-0326
Rebecca S LaRueMinnesota Supercomputing Institute, Minneapolis, Minnesota.
Christine M HenzlerMinnesota Supercomputing Institute, Minneapolis, Minnesota.ORCID 0000-0003-4566-2211
Sarah A MunroMinnesota Supercomputing Institute, Minneapolis, Minnesota.
Claire DaughtersDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
Andrew C NelsonDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-4741-0010
Boris J WinterhoffUniversity of Minnesota Masonic Cancer Center, Minneapolis, Minnesota.
Zenas ChangDepartment of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Shobhana TalukdarDepartment of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Mihir ShettyDepartment of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Sally A MullanyDepartment of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Martin MorganRoswell Park Comprehensive Cancer Institute, Buffalo, New York.ORCID 0000-0002-5874-8148
Giovanni ParmigianiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8783-5961
Michael J BirrerThe Winthrop P Rockefeller Cancer Institute, University of Arkansas Medical Sciences, Little Rock, Arkansas.
Li-Xuan QinMemorial Sloan Kettering Cancer Center, New York, New York.
Markus RiesterNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Timothy K StarrUniversity of Minnesota Masonic Cancer Center, Minneapolis, Minnesota.ORCID 0000-0002-6308-3451
Levi WaldronGraduate School of Public Health and Health Policy, City University of New York, New York, New York. levi.waldron@sph.cuny.edu.
University of Minnesota · USCity University of New York · USRoswell Park Comprehensive Cancer Center · USAmerican Institutes for Research · USHarvard University · USMemorial Sloan Kettering Cancer Center · USWinthrop Rockefeller Foundation · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI JENNIFER W MACK · 1985 to 2026
$330.6M
Project-002U41HG004059 · NHGRI · ROSWELL PARK CANCER INSTITUTE CORP · PI MORGAN, MARTIN T · 2011 to 2020
$13.2M
Cancer Genomics:Integrative and Scalable Solutions in R / BioconductorU24CA180996 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MORGAN, MARTIN T, WALDRON, LEVI · 2014 to 2023
$6.9M
Exploiting Public Metagenomic Data to Uncover Cancer-Microbiome RelationshipsR01CA230551 · NCI · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI Levi Waldron · 2020 to 2026
$3.9M
Exploiting public metagenomic data to uncover cancer-microbiome relationshipsU01CA230551 · NCI · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI WALDRON, LEVI · 2019 to 2019
$464k
Statistical Evaluation and Selection of Normalization Methods for microRNA Sequencing Data in Cancer Biomarker StudiesR21CA214845 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI QIN, LI-XUAN · 2018 to 2019
$414k
Validation and Clinical Relevance of Ovarian Cancer Molecular SubtypesR03CA191447 · NCI · HUNTER COLLEGE · PI WALDRON, LEVI · 2015 to 2016
$159k
NCI NIH HHS P30 CA006516NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA230551NCI NIH HHS R03 CA191447NCI NIH HHS R21 CA214845NCI NIH HHS U01 CA230551NCI NIH HHS U24 CA180996NHGRI NIH HHS U41 HG004059
6 · The paper itself

Abstract

Multiple studies have identified transcriptome subtypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes. SIGNIFICANCE: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.

Indexed as

Cystadenocarcinoma, SerousFemaleGene Expression ProfilingGenomic InstabilityHumansOvarian NeoplasmsPloidiesSingle-Cell Analysis

Identifiers

PMID32747365
PMCPMC7572645
OpenAlexW3047575580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.