Results 141 to 150 of about 5,337,944 (374)

MicroRNA and ovarian cancer.

open access: yesHistology and histopathology, 2008
Ovarian cancer remains a leading cause of morbidity and mortality, with little change in survival rates over the past 30 years. Research in the molecular biology underlying the disease demonstrates frequent mutation in the p53/Rb/p16 tumor suppressor pathways and activation of c-myc, K-ras and Akt oncogenic signaling.
Corney, David C., Nikitin, Alexander Yu.
openaire   +4 more sources

Immunotherapies in ovarian cancer

open access: yesEuropean Journal of Cancer Supplements, 2020
Ovarian cancer is the leading cause of death for gynaecological cancer, and new therapies are urgently awaited. Although the presence of tumour-infiltrating lymphocytes has been confirmed to be associated to a better prognosis, immunotherapy is not yet incorporated to the armamentarium in ovarian cancer.
Elena García-Martínez   +1 more
openaire   +4 more sources

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

open access: yesMolecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul   +11 more
wiley   +1 more source

Validation of a Multivariate Serum Profile for Epithelial Ovarian Cancer Using a Prospective Multi-Site Collection [PDF]

open access: yes, 2010
In previous studies we described the use of a retrospective collection of ovarian cancer and benign disease samples, in combination with a large set of multiplexed immunoassays and a multivariate pattern recognition algorithm, to develop an 11-biomarker ...
Beth Y. Karlan   +20 more
core   +1 more source

Activation of MAPK signalling results in resistance to saracatinib (AZD0530) in ovarian cancer [PDF]

open access: yes, 2017
SRC tyrosine kinase is frequently overexpressed and activated in late-stage, poor prognosis ovarian tumours, and preclinical studies have supported the use of targeted SRC inhibitors in the treatment of this disease.
El-Helali, Aya   +6 more
core   +2 more sources

Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies.

open access: yesAmerican Journal of Human Genetics, 2003
Germline mutations in BRCA1 and BRCA2 confer high risks of breast and ovarian cancer, but the average magnitude of these risks is uncertain and may depend on the context.
A. Antoniou   +32 more
semanticscholar   +1 more source

Evaluation and modification of tumor cell isolation techniques from malignant effusions for rapid drug sensitivity testing

open access: yesMolecular Oncology, EarlyView.
Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef   +10 more
wiley   +1 more source

Phenotype analysis of families with TP53 germline variants at the Center for Familial Breast and Ovarian Cancer, Cologne

open access: yesCancer Medicine
Purpose Tumor protein p53 (TP53) pathogenic variant (PV) carriers are identified during genetic testing for hereditary causes of cancer. PVs in TP53 are associated with the Li‐Fraumeni syndrome (LFS), and thus, surveillance and preventive measures are ...
K. Kast   +4 more
doaj   +1 more source

Sentinel lymph node in early stage ovarian cancer; a literature review [PDF]

open access: yes, 2018
Although sentinel lymph node mapping has been widely implemented in gynecological malignancies in order to minimize the number of unnecessary lymph node dissections and to diminish postoperative morbidity rate, little is known about ovarian cancer ...
Bacalbasa, Nicolae   +4 more
core   +3 more sources

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

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