cancer

Biomimetic keratin gold nanoparticle-mediated in vitro photothermal therapy on glioblastoma multiforme

Aim: To realize and characterize a new generation of keratin-coated gold nanoparticles (Ker-AuNPs) as highly efficient photosensitive nanosized therapeutics for plasmonic photothermal (PPT) therapy. Materials & methods: The chemical, physical, morphological and photothermal properties of Ker-AuNPs are investigated using dynamic light scattering, ζ-potential, UV–Visible, Fourier transform infrared spectroscopy, x-ray photoelectron spectroscopy, transmission electron microscopy and high-resolution thermography.

Association between growth differentiation factor-15 (GDF-15) serum levels, anorexia and low muscle mass among cancer patients

The pathophysiology of cancer anorexia is complex and serum biomarkers, including growth and differentiation factor(s) (GDF), may be modulated. We explored the association(s) between GDF-15 serum levels and anorexia and, secondarily, with low muscle mass and body weight loss in cancer patients. We considered gastrointestinal and lung cancer patients (CP) and healthy BMI-matched controls. The FAACT-questionnaire was administered to diagnose anorexia and we calculated the L3-SMI by CT scan to assess low muscularity, setting their cutoff values at the lowest tertile.

Investigational drugs for the treatment of cancer cachexia. A focus on phase I and phase II clinical trials

Introduction: Cachexia is frequent in chronic diseases and especially during cancer development. Multiple definitions of cachexia have been proposed; it may be considered a multifactorial complex syndrome that presents with progressive unintentional weight loss and wasting of muscle mass and adipose tissue. Area covered: This article covers phase-I and phase-II clinical trials of investigational drugs for cancer cachexia. We performed a search on PubMed with keywords as cancer cachexia, phase-I/phase-II trial, drug, identifying articles relevant to this review.

A new bioavailable fenretinide formulation with antiproliferative, antimetabolic, and cytotoxic effects on solid tumors

Fenretinide is a synthetic retinoid characterized by anticancer activity in preclinical models and favorable toxicological profile, but also by a low bioavailability that hindered its clinical efficacy in former clinical trials. We developed a new formulation of fenretinide complexed with 2-hydroxypropyl-beta-cyclodextrin (nanofenretinide) characterized by an increased bioavailability and therapeutic efficacy.

Lactoferrin's anti-cancer properties. Safety, selectivity, and wide range of action

Despite recent advances in cancer therapy, current treatments, including radiotherapy, chemotherapy, and immunotherapy, although beneficial, present attendant side effects and long-term sequelae, usually more or less affecting quality of life of the patients. Indeed, except for most of the immunotherapeutic agents, the complete lack of selectivity between normal and cancer cells for radio- and chemotherapy can make them potential antagonists of the host anti-cancer self-defense over time.

The role of coping in the relationship between stressful life events and quality of life in persons with cancer

Objective: Stressful life events (SLEs) impact the quality of life (QOL) of cancer patients. This study investigated the mediation of the relationship between SLEs and QOL (Model 1: Emotional-EQOL and Model 2: Physical/Functional-PFQOL by three types of coping: Action/Planning, Support/Advise-Seeking, and Disengagement/Denial). Design and Main Measures: 662 persons with cancer completed a Stressful Life Events Checklist, the Brief COPE scale, the FACT Emotional, Physical, and Functional Scales, and the Physical Impact Scale of the Sickness Impact Profile.

A Pan-Cancer Analysis Reveals High-Frequency Genetic Alterations in Mediators of Signaling by the TGF-β Superfamily

We present an integromic analysis of gene alterations that modulate transforming growth factor β (TGF-β)-Smad-mediated signaling in 9,125 tumor samples across 33 cancer types in The Cancer Genome Atlas (TCGA). Focusing on genes that encode mediators and regulators of TGF-β signaling, we found at least one genomic alteration (mutation, homozygous deletion, or amplification) in 39% of samples, with highest frequencies in gastrointestinal cancers. We identified mutation hotspots in genes that encode TGF-β ligands (BMP5), receptors (TGFBR2, AVCR2A, and BMPR2), and Smads (SMAD2 and SMAD4).

Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients

Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples. Association analysis of somatic variants with alternative splicing events confirmed known trans associations with variants in SF3B1 and U2AF1 and identified additional trans-acting variants (e.g., TADA1, PPP2R1A).

Driver Fusions and Their Implications in the Development and Treatment of Human Cancers

Gene fusions represent an important class of somatic alterations in cancer. We systematically
investigated fusions in 9,624 tumors across 33 cancer types using multiple fusion calling tools. We
identified a total of 25,664 fusions, with a 63% validation rate. Integration of gene expression,
copy number, and fusion annotation data revealed that fusions involving oncogenes tend to exhibit
increased expression, whereas fusions involving tumor suppressors have the opposite effect. For

Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types

Hotspot mutations in splicing factor genes have been recently reported at high frequency in hematological malignancies, suggesting the importance of RNA splicing in cancer. We analyzed whole-exome sequencing data across 33 tumor types in The Cancer Genome Atlas (TCGA), and we identified 119 splicing factor genes with significant non-silent mutation patterns, including mutation over-representation, recurrent loss of function (tumor suppressor-like), or hotspot mutation profile (oncogene-like).

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