4.6 Article

Identification of a Prognostic Signature for Ovarian Cancer Based on the Microenvironment Genes

Related references

Note: Only part of the references are listed.
Article Biochemistry & Molecular Biology

LnCeVar: a comprehensive database of genomic variations that disturb ceRNA network regulation

Peng Wang et al.

NUCLEIC ACIDS RESEARCH (2020)

Article Biotechnology & Applied Microbiology

Dynamic TF-lncRNA Regulatory Networks Revealed Prognostic Signatures in the Development of Ovarian Cancer

Qiuyan Guo et al.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)

Article Biochemistry & Molecular Biology

A prognostic 11 genes expression model for ovarian cancer

Chuan-Di Men et al.

JOURNAL OF CELLULAR BIOCHEMISTRY (2018)

Article Oncology

Ovarian Cancer Statistics, 2018

Lindsey A. Torre et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2018)

Article Oncology

Cancer Statistics, 2018

Rebecca L. Siegel et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2018)

Article Oncology

A Complex Network of Tumor Microenvironment in Human High-Grade Serous Ovarian Cancer

Caroline Kreuzinger et al.

CLINICAL CANCER RESEARCH (2017)

Article Oncology

Immunotherapy in ovarian cancer

K. Odunsi

ANNALS OF ONCOLOGY (2017)

Article Biotechnology & Applied Microbiology

Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studies

Xiaoqi Zheng et al.

GENOME BIOLOGY (2017)

Review Oncology

Tumor microenvironment: The culprit for ovarian cancer metastasis?

Zhongyue Luo et al.

CANCER LETTERS (2016)

Article Oncology

Global Cancer Statistics, 2012

Lindsey A. Torre et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2015)

Article Oncology

Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

Jacques Ferlay et al.

INTERNATIONAL JOURNAL OF CANCER (2015)

Article Biochemistry & Molecular Biology

STRING v10: protein-protein interaction networks, integrated over the tree of life

Damian Szklarczyk et al.

NUCLEIC ACIDS RESEARCH (2015)

Article

Integrative network analysis of TCGA data for ovarian cancer

Qingyang Zhang et al.

BMC Systems Biology (2014)

Article Biotechnology & Applied Microbiology

Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples

Kristian Cibulskis et al.

NATURE BIOTECHNOLOGY (2013)

Article Multidisciplinary Sciences

Inferring tumour purity and stromal and immune cell admixture from expression data

Kosuke Yoshihara et al.

NATURE COMMUNICATIONS (2013)

Article Biotechnology & Applied Microbiology

Absolute quantification of somatic DNA alterations in human cancer

Scott L. Carter et al.

NATURE BIOTECHNOLOGY (2012)

Review Oncology

Hallmarks of cancer: Interactions with the tumor stroma

Kristian Pietras et al.

EXPERIMENTAL CELL RESEARCH (2010)

Review Medicine, General & Internal

Ovarian cancer

Bryan T. Hennessy et al.

LANCET (2009)

Article Biochemical Research Methods

WGCNA: an R package for weighted correlation network analysis

Peter Langfelder et al.

BMC BIOINFORMATICS (2008)

Review Oncology

New therapies for ovarian cancer: Cytotoxics and molecularly targeted agents

Phuong Dinh et al.

CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY (2008)

Article Biochemistry & Molecular Biology

Cytoscape: A software environment for integrated models of biomolecular interaction networks

P Shannon et al.

GENOME RESEARCH (2003)