Cellular and molecular processes in ovarian cancer metastasis. A Review in the Theme: Cell and Molecular Processes in Cancer Metastasis
Ovarian cancer is the most lethal gynecological malignancy. It is usually diagnosed at a late
stage, with a 5-yr survival rate of< 30%. The majority of ovarian cancer cases are diagnosed …
stage, with a 5-yr survival rate of< 30%. The majority of ovarian cancer cases are diagnosed …
The Yin and Yang of YY 1 in tumor growth and suppression
LM Khachigian - International journal of cancer, 2018 - Wiley Online Library
Yin Yang‐1 (YY1) is a zinc finger protein and member of the GLI‐Kruppel family that can
activate or inactivate gene expression depending on interacting partners, promoter context …
activate or inactivate gene expression depending on interacting partners, promoter context …
Phase II Study of WEE1 Inhibitor AZD1775 Plus Carboplatin in Patients With TP53-Mutated Ovarian Cancer Refractory or Resistant to First-Line Therapy Within 3 …
S Leijen, RMJM van Geel, GS Sonke… - Journal of Clinical …, 2016 - ascopubs.org
Purpose AZD1775 is a first-in-class, potent, and selective inhibitor of WEE1 with proof of
chemopotentiation in p53-deficient tumors in preclinical models. In a phase I study, the …
chemopotentiation in p53-deficient tumors in preclinical models. In a phase I study, the …
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome
Purpose: The study aim to identify novel molecular subtypes of ovarian cancer by gene
expression profiling with linkage to clinical and pathologic features. Experimental Design …
expression profiling with linkage to clinical and pathologic features. Experimental Design …
Assessing the clinical utility of cancer genomic and proteomic data across tumor types
Molecular profiling of tumors promises to advance the clinical management of cancer, but
the benefits of integrating molecular data with traditional clinical variables have not been …
the benefits of integrating molecular data with traditional clinical variables have not been …
[PDF][PDF] Feature Selection via Dependence Maximization.
We introduce a framework for feature selection based on dependence maximization
between the selected features and the labels of an estimation problem, using the Hilbert …
between the selected features and the labels of an estimation problem, using the Hilbert …
[HTML][HTML] Exploration of the relationships between tumor mutation burden with immune infiltrates in clear cell renal cell carcinoma
C Zhang, Z Li, F Qi, X Hu, J Luo - Annals of translational medicine, 2019 - ncbi.nlm.nih.gov
Background Whether tumor mutation burden (TMB) correlated with improved survival
outcomes or promotion of immunotherapies remained controversy in various malignancies …
outcomes or promotion of immunotherapies remained controversy in various malignancies …
Epigenetic regulation of CD133 and tumorigenicity of CD133+ ovarian cancer cells
T Baba, PA Convery, N Matsumura, RS Whitaker… - Oncogene, 2009 - nature.com
The cancer stem cell hypothesis posits that malignant growth arises from a rare population
of progenitor cells within a tumor that provide it with unlimited regenerative capacity. Such …
of progenitor cells within a tumor that provide it with unlimited regenerative capacity. Such …
A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer
T Bonome, DA Levine, J Shih, M Randonovich… - Cancer research, 2008 - AACR
Despite the existence of morphologically indistinguishable disease, patients with advanced
ovarian tumors display a broad range of survival end points. We hypothesize that gene …
ovarian tumors display a broad range of survival end points. We hypothesize that gene …
COL11A1 promotes tumor progression and predicts poor clinical outcome in ovarian cancer
YH Wu, TH Chang, YF Huang, HD Huang, CY Chou - Oncogene, 2014 - nature.com
Biomarkers that predict disease progression might assist the development of better
therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated …
therapeutic strategies for aggressive cancers, such as ovarian cancer. Here, we investigated …