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

A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysis

8 Dec 2023

Abstract excerpt

BACKGROUND: The objective of this study was to estimate the accuracy of transcriptome-based classifier in differential diagnosis of uterine leiomyoma and leiomyosarcoma. We manually selected 114 normal uterine tissue and 31 leiomyosarcoma samples from publicly available transcriptome data in UCSC Xena as training/validation sets. We developed pre-processing procedure and gene selection method to sensitively find...

Read the complete abstract on PubMed

Topics

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

Share to Endometrial and Cervical Cancer Treatments
Share to Gastrointestinal Tumor Research and Treatment
Share to Uterine Myomas and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38066476
DOI: 10.1186/s12885-023-11394-0

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A differential diagnosis between uterine leiomyoma and leiomyosarcoma using transcriptome analysisPMID 38066476Read ↗

Integrative Genomic and Transcriptomic Profiling Reveals a Differential Molecular Signature in Uterine Leiomyoma versus LeiomyosarcomaSemantic proximity Read ↗

Identification of a novel diagnostic gene expression signature to discriminate uterine leiomyoma from leiomyosarcomaSemantic proximity Read ↗

Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine SarcomasSemantic proximity Read ↗

DEGs and Biological Process Profiling to screen the novel biomarkers associated with both Uterine Leiomyomas and Uterine leiomyosarcomasSemantic proximity Read ↗

Integrative transcriptomics analysis for uterine leiomyosarcoma identifies aberrant activation of cell cycle-dependent kinases and their potential therapeutic significanceSemantic proximity Read ↗

Integrative Analysis of Transcriptome Variation in Uterine Carcinosarcoma and Comparison to Sarcoma and Endometrial CarcinomaSemantic proximity Read ↗

Highly accurate two-gene classifier for differentiating gastrointestinal stromal tumors and leiomyosarcomasSemantic proximity Read ↗

Integrated Genomic and Transcriptomic Analysis Revealed Mutation Patterns of De-differentiated Liposarcoma and LeiomyosarcomaSemantic proximity Read ↗

Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profilingSemantic proximity Read ↗

Intravenous leiomyomatosis is inclined to a solid entity different from uterine leiomyoma based on RNA‐seq analysis with RT‐qPCR validationSemantic proximity Read ↗

Molecular Feature-Based Classification of Retroperitoneal Liposarcoma: A Prospective Cohort StudySemantic proximity Read ↗

A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq DataSemantic proximity Read ↗

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