Cellular and molecular processes in ovarian cancer metastasis. A Review in the Theme: Cell and Molecular Processes in Cancer Metastasis

TL Yeung, CS Leung, KP Yip… - … of Physiology-Cell …, 2015 - journals.physiology.org
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 …

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 …

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 …

Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome

RW Tothill, AV Tinker, J George, R Brown, SB Fox… - Clinical cancer …, 2008 - AACR
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 …

Assessing the clinical utility of cancer genomic and proteomic data across tumor types

Y Yuan, EM Van Allen, L Omberg, N Wagle… - Nature …, 2014 - nature.com
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 …

[PDF][PDF] Feature Selection via Dependence Maximization.

L Song, A Smola, A Gretton, J Bedo… - Journal of Machine …, 2012 - jmlr.org
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 …

[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 …

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 …

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 …

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 …