Results 221 to 230 of about 186,551 (294)

Principles of diagnosis of ovarian neoplasms — minimization of errors

open access: bronze, 2019
А. Э. Протасова   +3 more
openalex   +2 more sources

Clinical Features, Molecular Biology, and the Metastatic Microenvironment in Lung Cancer Brain Metastases: Implications for Treatment Decisions

open access: yesAdvanced Science, EarlyView.
Brain metastases (BM) from lung cancer are aggressive with poor prognosis. This review covers clinical features, diagnosis, early metastasis, and multi‐omics‐elucidated mechanisms, especially the tumor microenvironment of lung cancer with BM. It also discusses preclinical models, signaling pathways, and emerging therapies.
Yixiang Zhu   +5 more
wiley   +1 more source

Identification and characterization of a homozygous deletion found in ovarian ascites by representational difference analysis [PDF]

open access: yes, 1999
Gabra, H   +7 more
core  

Detection of the HE4 protein in urine as a biomarker for ovarian neoplasms: Clinical correlates. [PDF]

open access: yesGynecol Oncol, 2015
Liao JB   +5 more
europepmc   +1 more source

Single‐Cell RNA Sequencing Identifies MMP11+ Cancer‐Associated Fibroblasts as Drivers of Angiogenesis and Bladder Cancer Progression

open access: yesAdvanced Science, EarlyView.
Single‐cell RNA sequencing identifies MMP11⁺ CAFs as pro‐angiogenic cells accumulating during bladder cancer progression. These cells promote angiogenesis by regulating ESM1⁺ tip endothelial cells and recruiting SPP1⁺ macrophages. Tumor‐derived BMP2 promotes their activation.
Wuwu Xu   +13 more
wiley   +1 more source

Clinicopathologic features of ovarian neoplasms with emphasis on borderline ovarian tumors: an institutional perspective. [PDF]

open access: yesBMC Res Notes, 2016
Hashmi AA   +6 more
europepmc   +1 more source

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang   +23 more
wiley   +1 more source

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