Results 51 to 60 of about 5,317,572 (397)

Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer [PDF]

open access: yesarXiv, 2021
The prognosis for patients with epithelial ovarian cancer remains dismal despite improvements in survival for other cancers. Treatment involves multiple lines of chemotherapy and becomes increasingly heterogeneous after first-line therapy. Reinforcement learning with real-world outcomes data has the potential to identify novel treatment strategies to ...
arxiv  

Niraparib Maintenance Therapy in Platinum-Sensitive, Recurrent Ovarian Cancer.

open access: yesNew England Journal of Medicine, 2016
BACKGROUND Niraparib is an oral poly(adenosine diphosphate [ADP]-ribose) polymerase (PARP) 1/2 inhibitor that has shown clinical activity in patients with ovarian cancer.
M. Mirza   +27 more
semanticscholar   +1 more source

Germline and Somatic Tumor Testing in Epithelial Ovarian Cancer: ASCO Guideline.

open access: yesJournal of Clinical Oncology, 2020
PURPOSE To provide recommendations on genetic and tumor testing for women diagnosed with epithelial ovarian cancer based on available evidence and expert consensus.
P. Konstantinopoulos   +11 more
semanticscholar   +1 more source

In Vitro Chemosensitivity Using the Histoculture Drug Response Assay in Human Epithelial Ovarian Cancer [PDF]

open access: yes, 2012
The choice of chemotherapeutic drugs to treat patients with epithelial ovarian cancer has not depended on individual patient characteristics. We have investigated the correlation between in vitro chemosensitivity, as determined by the histoculture drug ...
Kim, Dae-Yeon   +6 more
core   +1 more source

Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer [PDF]

open access: yes, 2022
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being leveraged for digital histopathology. Modern histopathologic identification of ovarian cancer involves tissue staining followed by morphological pattern recognition. This process is time-consuming, subjective, and requires extensive expertise.
arxiv   +1 more source

Immunotherapy for Ovarian Cancer: Adjuvant, Combination, and Neoadjuvant

open access: yesFrontiers in Immunology, 2020
Ovarian cancer is the most lethal gynecologic malignancy. Surgery and chemotherapy are the primary treatments for ovarian cancer; however, patients often succumb to recurrence with chemotherapeutic resistance within several years after the initial ...
Chang Yang   +5 more
semanticscholar   +1 more source

Medical treatment of early stage and rare histological variants of epithelial ovarian cancer [PDF]

open access: yes, 2015
Epithelial ovarian cancer is often considered a single pathological entity, but increasing evidence suggests that it is rather a group of different neoplasms, each with unique pathological characteristics, molecular features, and clinical behaviours ...
Biglia, Nicoletta   +6 more
core   +3 more sources

LINE-1 ORF1p as a candidate biomarker in high grade serous ovarian carcinoma

open access: yesScientific Reports, 2023
Long interspersed element 1 (LINE-1) open reading frame 1 protein (ORF1p) expression is a common feature of many cancer types, including high-grade serous ovarian carcinoma (HGSOC).
Sho Sato   +19 more
doaj   +1 more source

Hereditary breast and ovarian cancer (HBOC): review of its molecular characteristics, screening, treatment, and prognosis

open access: yesBreast Cancer, 2020
Breast cancer is a common cancer affecting a large number of patients. Notably, 5–10% of all breast cancer patients are genetically predisposed to cancers.
Reiko Yoshida
semanticscholar   +1 more source

The role of Eag and HERG channels in cell proliferation and apoptotic cell death in SK-OV-3 ovarian cancer cell line. [PDF]

open access: yes, 2011
The voltage gated potassium (K+) channels Eag and HERG have been implicated in the pathogenesis of various cancers, through association with cell cycle changes and programmed cell death.
Anish Bali   +6 more
core   +5 more sources

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