Evidence map›Paper›PMID 38182756›Full record

ArticleCommunications biology2024

Single-cell analysis reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of ovarian cancer.

Linan Zhang, Sandra Cascio, John W Mellors, Ronald J Buckanovich, Hatice Ulku Osmanbeyoglu

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Linan Zhang *Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15206, USA.ORCID 0000-0001-6217-8806
Sandra Cascio *UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.ORCID 0000-0003-4234-0508
John W MellorsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.
Ronald J BuckanovichUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.
Hatice Ulku OsmanbeyogluDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15206, USA. osmanbeyogluhu@pitt.edu.ORCID 0000-0002-3175-1777
University of Pittsburgh · USNingbo University · CN

Funding

Computational methods for delineating cell context-specific regulatory programsR35GM146989 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Hatice Ulku Osmanbeyoglu · 2022 to 2026
$1.9M
The Role of Egfl6 in Tumor ImmunityR01CA276279 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sandra Cascio · 2023 to 2026
$1.5M
Algorithms to link signaling pathways with transcriptional programs for precision medicineR00CA207871 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OSMANBEYOGLU, HATICE ULKU · 2019 to 2022
$738k
NCI NIH HHS R00 CA207871NCI NIH HHS R01 CA276279NIGMS NIH HHS R35 GM146989
6 · The paper itself

Abstract

High-grade serous ovarian carcinoma (HGSOC) is a heterogeneous disease, and a highstromal/desmoplastic tumor microenvironment (TME) is associated with a poor outcome. Stromal cell subtypes, including fibroblasts, myofibroblasts, and cancer-associated mesenchymal stem cells, establish a complex network of paracrine signaling pathways with tumor-infiltrating immune cells that drive effector cell tumor immune exclusion and inhibit the antitumor immune response. In this work, we integrate single-cell transcriptomics of the HGSOC TME from public and in-house datasets (n = 20) and stratify tumors based upon high vs. low stromal cell content. Although our cohort size is small, our analyses suggest a distinct transcriptomic landscape for immune and non-immune cells in high-stromal vs. low-stromal tumors. High-stromal tumors have a lower fraction of certain T cells, natural killer (NK) cells, and macrophages, and increased expression of CXCL12 in epithelial cancer cells and cancer-associated mesenchymal stem cells (CA-MSCs). Analysis of cell-cell communication indicate that epithelial cancer cells and CA-MSCs secrete CXCL12 that interacte with the CXCR4 receptor, which is overexpressed on NK and CD8+ T cells. Dual IHC staining show that tumor infiltrating CD8 T cells localize in proximity of CXCL12+ tumor area. Moreover, CXCL12 and/or CXCR4 antibodies confirm the immunosuppressive role of CXCL12-CXCR4 in high-stromal tumors.

Indexed as

Ovarian NeoplasmsAntibodiesFemaleHumansSignal TransductionSingle-Cell AnalysisTumor MicroenvironmentAntibodies

Identifiers

PMID38182756
PMCPMC10770164
OpenAlexW4390609260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.