Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma-Reference-Cited by-同舟云学术

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Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma

Published:2024-07 Issue:7 Volume:37 Page:100508
ISSN:0893-3952
Container-title:Modern Pathology
language:en
Short-container-title:Modern Pathology

Author:

Laury Anna Ray^ORCID,Zheng Shuyu,Aho Niina,Fallegger Robin,Hänninen Satu,Saez-Rodriguez Julio,Tanevski Jovan,Youssef Omar,Tang Jing,Carpén Olli Mikael

Funder

Biomedicum

University of Helsinki Research Foundation

Finnish Medical Foundation

Sigrid Jusélius Foundation

K Albin Johanssons Stiftelse

Finska Läkaresällskapet

Cancer Foundation Finland

European Research Council

Academy of Finland

Ida Montin Säätiö

Publisher

Elsevier BV

Reference56 articles.

1. USCSW. U.S. Cancer Statistics Data Visualizations Tool, Based on 2021 Submission Data (1999-2019),2022

2. Clinical commentary extra-uterine high-grade serous carcinoma: Two pathways, two preventions?;Crum;Gynecol Oncol,2023

3. Who are the long-term survivors of high grade serous ovarian cancer?;Hoppenot;Gynecol Oncol,2018

4. Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling;Bashashati;J Pathol,2013

5. Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer;McPherson;Nat Genet,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The unveiled mosaic of intra-tumor heterogeneity in ovarian cancer through spatial transcriptomic technologies: A systematic review;Translational Research;2024-11

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