Clear cell carcinoma (CCC) of the ovary tends to show resistance to standard chemotherapy, which results in poor survival for patients with CCC. Developing a novel therapeutic strategy is imperative to improve patient prognosis. Epidermal growth factor receptor (EGFR) is frequently expressed in epithelial ovarian cancer. One of the major downstream targets of the EGFR signaling cascade is extracellular signal-related kinase (ERK). PEA-15, a 15-kDa phosphoprotein, can sequester ERK in the cytoplasm. MEK1/2 plays a central role in integrating mitogenic signals into the ERK pathway. We tested the hypothesis that inhibition of the EGFR-ERK pathway suppresses tumorigenicity in CCC, and we investigated the role of PEA-15 in ERK-targeted therapy in CCC. We screened a panel of 4 CCC cell lines (RMG-I, SMOV-2, OVTOKO, and KOC-7c) and observed that the EGFR tyrosine kinase inhibitor erlotinib inhibited cell proliferation of EGFR-overexpressing CCC cell lines through partial dependence on the MEK/ERK pathway. Furthermore, erlotinib-sensitive cell lines were also sensitive to the MEK inhibitor selumetinib (AZD6244), which is under clinical development. Knockdown of PEA-15 expression resulted in reversal of selumetinib-sensitive cells to resistant cells, implying that PEA-15 contributes to selumetinib sensitivity. Both selumetinib and erlotinib significantly suppressed tumor growth (P < 0.0001) in a CCC xenograft model. However, selumetinib was better tolerated; erlotinib-treated mice exhibited significant toxic effects (marked weight loss and severe skin peeling) at high doses. Our findings indicate that the MEK-ERK pathway is a potential target for EGFR-overexpressing CCC and indicate that selumetinib and erlotinib are worth exploring as therapeutic agents for CCC.
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http://dx.doi.org/10.1158/1535-7163.MCT-11-0400 | DOI Listing |
NPJ Precis Oncol
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Zentalis Pharmaceuticals, Inc., San Diego, CA, USA.
Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib.
View Article and Find Full Text PDFSci Rep
January 2025
School of Medicine, Nankai University, Tianjin, 300071, China.
Cholangiocarcinoma (CCA), a highly aggressive form of cancer, is known for its high mortality rate. A Disintegrin and Metalloprotease Domain-like Protein Decysin-1 (ADAMDEC1) can promote the development and metastasis in various tumors by degrading the extracellular matrix. However, its regulatory mechanism in CCA remains unclear.
View Article and Find Full Text PDFAnn Hematol
January 2025
Department of Hematology, Navy Medical Center of PLA, Naval Medical University, No. 338 West Huaihai Road, Changning District, Shanghai, 200052, China.
Multiple myeloma(MM) remains incurable with high relapse and chemoresistance rates. Differentially expressed genes(DEGs) between newly diagnosed myeloma and secondary plasma cell leukemia(sPCL) were subjected to a weighted gene co-expression network analysis(WGCNA). Drug resistant myeloma cell lines were established.
View Article and Find Full Text PDFSci Rep
January 2025
School of Physics, Engineering and Technology, University of York, Heslington, York, YO10 5DD, UK.
Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Only a small subset of prostate cancers are aggressive and require removal and treatment to prevent metastatic spread. However, conventional diagnostics remain challenged to risk-stratify such patients; hence, new methods of approach to biomolecularly sub-classify the disease are needed. Here we use an unsupervised self-organising map approach to analyse live-cell Raman spectroscopy data obtained from prostate cell-lines; our aim is to exemplify this method to sub-stratify, at the single-cell-level, the cancer disease state using high-dimensional datasets with minimal preprocessing.
View Article and Find Full Text PDFNat Commun
January 2025
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Spatial protein expression technologies can map cellular content and organization by simultaneously quantifying the expression of >40 proteins at subcellular resolution within intact tissue sections and cell lines. However, necessary image segmentation to single cells is challenging and error prone, easily confounding the interpretation of cellular phenotypes and cell clusters. To address these limitations, we present STARLING, a probabilistic machine learning model designed to quantify cell populations from spatial protein expression data while accounting for segmentation errors.
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