Ovarian Cancer

Degradation kinetics of larotaxel and identification of its degradation products in alkaline condition.

Larotaxel, a new taxane compound prepared by partial synthesis from 10-deacetyl baccatin III, is active against tumors. In this research, a selective LC-MS method was developed and validated for the study of degradation kinetics of larotaxel, which was carried out in aqueous solutions with different pH (1.5, 3.0, 5.0, 6.5, 7.4, 9.0, 10 and 11.0) and temperature (0, 25, 37 and 45 °C). The linear ra...

Fabrication of an electrochemical sensor for determination of doxorubicin in human plasma and its interaction with DNA.

In this work, an electrochemical sensor was fabricated for determination of an anthracycline, doxorubicin (DOX) as a chemotherapy drug in plasma based on multi-walled carbon nanotubes modified platinum electrode (Pt/MWCNTs). DOX was effectively accumulated on the surface of modified electrode and generated a pair of redox peaks at around 0.522 and 0.647 V (vs. Ag/AgCl) in Britton Robinson (B-R) bu...

The impact of paracentesis flow rate in patients with liver cirrhosis on the development of paracentesis induced circulatory dysfunction.

BACKGROUND/AIMS: Ascites is a dreadful complication of liver cirrhosis associated with short survival. Large volume paracentesis (LVP) is used to trea...

Etiology of Ascites and Pleural Effusion Associated with Ovarian Tumors: Literature Review and Case Reports of Three Ovarian Tumors Presenting with Massive Ascites, but without Peritoneal Dissemination.

Borderline ovarian tumors are benign but relatively large tumors that are often initially mistaken as ovarian cancers. We report three cases of stage ...

Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) was admitted to the intensive care unit following a...

Application of a UPLC-MS/MS method to the protein binding study of TM-2 in rat, human and beagle dog plasma.

TM-2 known as a potential antitumor drug is a novel semi-synthetic taxane derivative. As drug-protein interactions contribute to insights into pharmac...

Cytotoxic response of platinum-coated gold nanorods in human breast cancer cells at very low exposure levels.

Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application in biomedical field such as bio-sensing, bio-imag...

Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Organizing Mapping (SOM) based on the Child-Pugh scori...

Genomic subtypes inferred from clinical sequencing provide significant prognostic stratification in metastatic breast cancer

PurposeThe 11 Integrative Cluster (IntClust) genomic subtypes of breast cancer have both prognostic and predictive value but require integrated DNA co...

PINT: Pathway-pathway interactions for predicting interpretable clinical outcomes from gene expression

Motivation: Disease mechanisms emerge from the coordinated activity of multiple biological pathways, rather than from individual pathways acting in is...

Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion

Multimodal learning is a robust approach to improve predictive performance in applications such as medical prognosis. However, the clinical applicabil...

CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification

Weakly supervised whole-slide image (WSI) classification is widely used in computational pathology because slide-level labels are easier to obtain tha...

Multimodal profiling for prediction of primary resistance to anti-PD-(L)1 therapy in advanced non-small-cell lung cancer: the prospective PIONeeR biomarkers study

Background Pretreatment prediction of primary resistance to anti-PD-(L)1 therapy in advanced non-small-cell lung cancer (NSCLC) remains an unmet clini...

Feature Dimensionality Outweighs Model Complexity in Breast Cancer Subtype Classification Using TCGA-BRCA Gene Expression Data

Accurate classification of breast cancer subtypes from gene expression data is critical for diagnosis and treatment selection. However, such datasets ...

Metastatic Site Prediction in Breast Cancer using Kirchhoff's Law and Omics Knowledge Graph

Predicting the anatomical site of metastasis from a primary tumour remains an unsolved problem in breast cancer (BRCA) and metastatic disease more bro...

Integrated Multi-Omics Analysis for the Identification of Disease-Associated Variations and Prognostic Biomarkers in Triple-Negative Breast Cancer (TNBC)

Background: Triple-negative breast cancer (TNBC) exhibits substantial molecular heterogeneity and lacks targeted receptor therapies. Single-omic appro...

CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification

Motivation: Multi-omics integration can improve cancer subtyping, but modality informativeness and noise vary across cancer types and patients. Existi...

A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection

Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene signature is widely recognized as a standard for class...

RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation

Pathology report generation remains a relatively under-explored downstream task, primarily due to the gigapixel scale and complex morphological hetero...

A comprehensive benchmark of publicly available image foundation models for their usability to predict gene expression from whole slide images

Recent advances in large-scale self-supervised learning have led to the emergence of foundation models capable of extracting transferable visual repre...