Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Malignant Cell Populations Associated with Poor Prognosis in High-Grade Serous Ovarian Cancer Using Single-Cell RNA Sequencing

22 Jul 2022

Abstract excerpt

To reveal tumor heterogeneity in ovarian cancer, we performed single-cell RNA sequencing (RNA-seq). We obtained The Cancer Genome Atlas (TCGA) survival data and TCGA gene expression data for a Kaplan-Meier plot showing the association of each tumor population with poor prognosis. As a result, we found two malignant tumor cell subtypes associated with poor prognosis. Next, we performed trajectory analysis using...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Immune cells in cancer
Share to Ovarian cancer diagnosis and treatment
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35892844
DOI: 10.3390/cancers14153580

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Malignant Cell Populations Associated with Poor Prognosis in High-Grade Serous Ovarian Cancer Using Single-Cell RNA SequencingPMID 35892844Read ↗

Deciphering ovarian cancer heterogeneity through spatial transcriptomics, single-cell profiling, and copy number variationsSemantic proximity Read ↗

Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinomaSemantic proximity Read ↗

Single-cell RNA sequencing in ovarian cancer: revealing new perspectives in the tumor microenvironmentSemantic proximity Read ↗

Characterizing tumor biology and immune microenvironment in high-grade serous ovarian cancer via single-cell RNA sequencing: insights for targeted and personalized immunotherapy strategiesSemantic proximity Read ↗

Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomicsSemantic proximity Read ↗

Single-cell RNA sequencing reveals that MYBL2 in malignant epithelial cells is involved in the development and progression of ovarian cancerSemantic proximity Read ↗

Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seqSemantic proximity Read ↗

Characterizing the tumor microenvironment of metastatic ovarian cancer by single cell transcriptomicsSemantic proximity Read ↗

Integrated analysis of single-cell RNA-seq and bulk RNA-seq unveils heterogeneity and establishes a novel signature for prognosis and tumor immune microenvironment in ovarian cancerSemantic proximity Read ↗

Single-cell analysis technologies for cancer research: from tumor-specific single cell discovery to cancer therapySemantic proximity Read ↗

Evolutionary states and trajectories characterized by distinct pathways stratify ovarian high-grade serous carcinoma patientsSemantic proximity Read ↗

Single-cell sequencing in ovarian cancer: a new frontier in precision medicineSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.