The tumor microenvironment (TME) promotes angiogenesis for its growth through the recruitment of multiple cells and signaling mechanisms. For example, TME actively recruits and activates platelets from the microcirculation to facilitate metastasis, but platelets may simultaneously also support tumor angiogenesis. Here, to model this complex pathophysiology within the TME that involves a signaling triad of cancer cells, sprouting endothelial cells, and platelets, an angiogenesis-enabled tumor microenvironment chip (aTME-Chip) is presented. This platform recapitulates the convergence of physiology of angiogenesis and platelet function within the ovarian TME and describes the contribution of platelets in promoting angiogenesis within an ovarian TME. By including three distinct human ovarian cancer cell-types, the aTME-Chip quantitatively reveals the following outcomes-first, introduction of platelets significantly increases angiogenesis; second, the temporal dynamics of angiogenic signaling is dependent on cancer cell type; and finally, tumor-educated platelets either activated exogenously by cancer cells or derived clinically from a cancer patient accelerate tumor angiogenesis. Further, analysis of effluents available from aTME-Chip validate functional outcomes by revealing changes in cytokine expression and several angiogenic and metastatic signaling pathways due to platelets. Collectively, this tumor microphysiological system may be deployed to derive antiangiogenic targets combined with antiplatelet treatments to arrest cancer metastasis.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11281868 | PMC |
http://dx.doi.org/10.1002/adhm.202304263 | DOI Listing |
Sci Rep
January 2025
Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, 420 Delaware St SE, MMC 609, Minneapolis, MN, 55455, USA.
Within ovarian cancer research, patient-derived xenograft (PDX) models recapitulate histologic features and genomic aberrations found in original tumors. However, conflicting data from published studies have demonstrated significant transcriptional differences between PDXs and original tumors, challenging the fidelity of these models. We employed a quantitative mass spectrometry-based proteomic approach coupled with generation of patient-specific databases using RNA-seq data to investigate the proteogenomic landscape of serially-passaged PDX models established from two patients with distinct subtypes of ovarian cancer.
View Article and Find Full Text PDFCancer Genet
December 2024
Department of Obstetrics and Gynecology, Shanghai Tongji Hospital, School of Medicine, Tongji University, 200120, PR China; Department of Obstetrics and Gynecology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200065, PR China. Electronic address:
Background: Mitochondrial dysregulation contributes to the chemoresistance of multiple cancer types. Yet, the functions of mitochondrial dysregulation in Ovarian serous cystadenocarcinoma (OSC) remain largely unknown.
Aim: We sought to investigate the function of mitochondrial dysregulation in OSC from the bioinformatics perspective.
Environ Sci Technol
January 2025
Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Preventive Medicine, Medical school, Hunan Normal University, Changsha, Hunan 410013, China.
Humans may intake 0.02 mg/kg/day of short-chain chlorinated paraffins (SCCPs), and no study is available on mammalian ovarian damage caused by low-level SCCPs. In this study, four groups of 5-week-old female Institute of Cancer Research (ICR) mice were orally administered 0, 0.
View Article and Find Full Text PDFJ Ovarian Res
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.
View Article and Find Full Text PDFJ Assist Reprod Genet
January 2025
Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Purpose: This study is to evaluate duration of oocyte cryostorage and association with thaw survival, fertilization, blastulation, ploidy rates, and pregnancy outcomes in patients seeking fertility preservation.
Methods: Retrospective cohort study to evaluate clinical outcomes in patients who underwent fertility preservation from 2011 to 2023 via oocyte vitrification for non-oncologic indications. Primary outcome was thaw survival rate.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!