High-Efficiency Cell-Type Proteomics Strategy Deciphers Cholangiocarcinoma Fibrosis-Associated Pathological Heterogeneity.

Cholangiocarcinoma (CCA) is the second most common primary liver cancer and is characterized by huge heterogeneity, difficult diagnosis, and poor prognosis. Fibrosis-associated heterogeneity in CCA serves as an indicator of the malignant progression of cancer; however, a precise approach to deciphering fibrosis heterogeneity is still lacking. Typically, the tissue proteome is profiled by analyzing bulk tissues, which gives average results of different cell types, especially for CCA tissues in which cancer cells occupy a very small proportion.

Discovery of bladder cancer biomarkers in paired pre- and postoperative urine samples.

Background: Bladder cancer (BC), a common cancer of the urinary system, has a low mortality but an extremely high recurrence rate. Patients who have undergone initial surgical treatment often undergo frequent prognostic examinations with a substantial burden of discomfort and costs. Urine samples can reflect early disease processes in the urinary system and may be an excellent source of biomarkers.

[Research progress of feature selection and machine learning methods for mass spectrometry-based protein biomarker discovery].

With the development of mass spectrometry technologies and bioinformatics analysis algorithms, disease research-driven human proteome project (HPP) is advancing rapidly. Protein biomarkers play critical roles in clinical applications and the biomarker discovery strategies and methods have become one of research hotspots. Feature selection and machine learning methods have good effects on solving the "dimensionality" and "sparsity" problems of proteomics data, which have been widely used in the discovery of protein biomarkers.

[A new bioinformatics approach for prediction of potential tumor neoantigens based on the cancer genome atlas dataset].

Tumor-specific gene mutations might generate suitable neoepitopes for cancer immunotherapy that are highly immunogenic and absent in normal tissues. The high heterogeneity of the tumor genome poses a big challenge for precision cancer immunotherapy. Mutations characteristic of each tumor can help to distinguish it from other tumors.

Biological roles of filamin a in prostate cancer cells.

Objective: This study aims to investigate the association of filamin A with the function and morphology of prostate cancer (PCa) cells, and explore the role of filamin A in the development of PCa, in order to analyze its significance in the evolvement of PCa.

Materials And Methods: A stably transfected cell line, in which filamin A expression was suppressed by RNA interference, was first established. Then, the effects of the suppression of filamin A gene expression on the biological characteristics of human PCa LNCaP cells were observed through cell morphology, in vitro cell growth curve, soft agar cloning assay, and scratch test.