Paper · 42911976

Multi-omics analysis of high-grade serous ovarian cancers reveals heterogeneity and distinct immunological patterns based upon clinico-genomic status.

Qian J and 10 others. PLoS Genet, 2026.

11 sourcespapers-2026-11-12-0.1.0

Cite this record

ConductScience Library. Multi-omics analysis of high-grade serous ovarian cancers reveals heterogeneity and distinct immunological patterns based upon clinico-genomic status. Papers, record 42911976. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42911976

On this page

Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: Multi-omics analysis of high-grade serous ovarian cancers reveals heterogeneity and distinct immunological patterns based upon clinico-genomic status.
Journal: PLoS Genet
Year: 2026
Publication types: Journal Article
PubMed: https://pubmed.ncbi.nlm.nih.gov/42911976/
DOI: https://doi.org/10.1371/journal.pgen.1012355
PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC13712742/
The journal: https://conductscience.org/library/journal-index/101239074
Revised in PubMed: 2026-11-02

Source PubMed

Authors11

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename	ORCID iD
1	Qian J	Jing	https://orcid.org/0009-0008-7026-9386
2	Bassiouni R	Rania	https://orcid.org/0000-0002-4754-9311
3	Jin Y	Yuxin	https://orcid.org/0000-0002-6124-9681
4	Rajpara S	Seeta
5	Neuman M	Monica
6	Khetan VU	Varun U	https://orcid.org/0000-0003-2825-2157
7	Salhia B	Bodour
8	Craig DW	David W	https://orcid.org/0000-0003-2040-1955
9	Carlson JW	Joseph W	https://orcid.org/0000-0002-3006-4107
10	Roman LD	Lynda D

1 to 10 of 11Source PubMed

See all 11 authors

Topics15

NLM's MeSH indexing of the paper, its major topics first.

MeSH term	Major
Ovarian Neoplasms	Major topic
Cystadenocarcinoma, Serous	Major topic
Humans
Female
Tumor Microenvironment
Mutation
Multiomics
BRCA2 Protein
BRCA1 Protein
Exome Sequencing
Gene Expression Regulation, Neoplastic
Genomics
Spatial Transcriptomics
Receptors, CXCR4
Transcriptome

Source PubMed

Grants1

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by
P30 CA014089	NCI NIH HHS	United States	P30CA014089	PubMed

Source NIH RePORTER

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References63

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	25,319,062	Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data.	Ann Oncol	2015	https://conductscience.org/library/papers/25319062	PubMed
2	35,196,078	Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer.	Sci Adv	2022	https://conductscience.org/library/papers/35196078	PubMed
3	39,311,702	At the Interface of Tumor-Associated Macrophages and Fibroblasts: Immune-Suppressive Networks and Emerging Exploitable Targets.	Clin Cancer Res	2024	https://conductscience.org/library/papers/39311702	PubMed
4	31,870,423	Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression.	Genome Biol	2019	https://conductscience.org/library/papers/31870423	PubMed
5	38,705,759	Lipid-associated macrophages between aggravation and alleviation of metabolic diseases.	Trends Endocrinol Metab	2024	https://conductscience.org/library/papers/38705759	PubMed
6	16,199,517	Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.	Proc Natl Acad Sci U S A	2005	https://conductscience.org/library/papers/16199517	PubMed
7	20,182,602	TP53 mutations in human cancers: origins, consequences, and clinical use.	Cold Spring Harb Perspect Biol	2010	https://conductscience.org/library/papers/20182602	PubMed
8	30,345,884	Maintenance Olaparib in Patients with Newly Diagnosed Advanced Ovarian Cancer.	N Engl J Med	2018	https://conductscience.org/library/papers/30345884	PubMed
9	23,945,592	Signatures of mutational processes in human cancer.	Nature	2013	https://conductscience.org/library/papers/23945592	PubMed
10	41,411,622	Integrated Spatial Analysis Reveals the Molecular Landscape of Ovarian Precancerous Lesions.	Cancer Res	2026	https://conductscience.org/library/papers/41411622	PubMed

1 to 10 of 63

See all 63 references

Cited by0

The papers in our copy of PubMed whose reference list names this one, newest first.

None in this release.

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

Sources 11

ChEMBL, through Open TargetsCC BY-SA 3.0
ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

Each source's terms

ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this paper from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/papers/v1/42911976

GET https://conductscience.org/api/papers/v1/42911976/references?page=2

API reference For AI assistants