[HTML][HTML] Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

KM Boehm, EA Aherne, L Ellenson, I Nikolovski… - Nature cancer, 2022 - nature.com
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

[HTML][HTML] Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles

PK Mankoo, R Shen, N Schultz, DA Levine, C Sander - PloS one, 2011 - journals.plos.org
Background Serous ovarian cancer (SeOvCa) is an aggressive disease with differential and
often inadequate therapeutic outcome after standard treatment. The Cancer Genome Atlas …

[HTML][HTML] Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers

S Hatamikia, S Nougaret, C Panico, G Avesani… - European Radiology …, 2023 - Springer
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed
molecular studies have revealed marked intra-patient heterogeneity at the tumour …

[HTML][HTML] Integrating genomic, epigenomic, and transcriptomic features reveals modular signatures underlying poor prognosis in ovarian cancer

W Zhang, Y Liu, N Sun, D Wang, J Boyd-Kirkup, X Dou… - Cell reports, 2013 - cell.com
Ovarian cancer has a poor prognosis, with different outcomes for different patients. The
mechanism underlying this poor prognosis and heterogeneity is not well understood. We …

[HTML][HTML] Landscape of genomic alterations in high-grade serous ovarian cancer from exceptional long-and short-term survivors

SYC Yang, S Lheureux, K Karakasis, JV Burnier… - Genome medicine, 2018 - Springer
Background Patients diagnosed with high-grade serous ovarian cancer (HGSOC) who
received initial debulking surgery followed by platinum-based chemotherapy can …

[HTML][HTML] Harnessing pandemonium: the clinical implications of tumor heterogeneity in ovarian cancer

SP Blagden - Frontiers in oncology, 2015 - frontiersin.org
Heterogeneity has emerged as a key feature of ovarian cancer between different ovarian
cancer subtypes; within single ovarian cancer subtypes; and within individual patient tumors …

[HTML][HTML] Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

E Stur, S Corvigno, M Xu, K Chen, Y Tan, S Lee, J Liu… - Iscience, 2022 - cell.com
Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial
diversity in cancer samples, and currently available in situ techniques (multiplex …

[HTML][HTML] Molecular analysis of clinically defined subsets of high-grade serous ovarian cancer

S Lee, L Zhao, C Rojas, NW Bateman, H Yao, OD Lara… - Cell reports, 2020 - cell.com
The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC), which is
the most lethal gynecologic malignancy, is not well understood. Here, we perform …

[HTML][HTML] Evolutionary states and trajectories characterized by distinct pathways stratify patients with ovarian high grade serous carcinoma

A Lahtinen, K Lavikka, A Virtanen, Y Li, S Jamalzadeh… - Cancer Cell, 2023 - cell.com
Ovarian high-grade serous carcinoma (HGSC) is typically diagnosed at an advanced stage,
with multiple genetically heterogeneous clones existing in the tumors long before …

[HTML][HTML] Genetic characterization of primary and metastatic high-grade serous ovarian cancer tumors reveals distinct features associated with survival

EN Kotnik, MM Mullen, NC Spies, T Li… - Communications …, 2023 - nature.com
High-grade serous ovarian cancer (HGSC) is the most lethal histotype of ovarian cancer and
the majority of cases present with metastasis and late-stage disease. Over the last few …