Loss of the predicted cell adhesion molecule MPZL3 promotes EMT and chemoresistance in ovarian cancer
Cheng, Y.-Y.; Worley, B. L.; Javed, Z.; Elhaw, A. T.; Tang, P. W.; Al-Saad, S.; Kamlapurkar, S.; White, S. R.; Uboveja, A.; Mythreye, K.; Aird, K. M.; Czyzyk, T. A.; Hempel, N.
Show abstract
Myelin protein zero-like 3 (MPZL3) is an Immunoglobulin-containing transmembrane protein with predicted cell adhesion molecule function. Loss of 11q23, where the MPZL3 gene resides, is frequently observed in cancer, and MPZL3 copy number alterations are frequently detected in tumor specimens. Yet the role and consequences of altered MPZL3 expression have not been explored in tumor development and progression. We addressed this in ovarian cancer, where both MPZL3 amplification and deletions are observed in respective subsets of high-grade serous specimens. While high and low MPZL3 expressing populations were similarly observed in primary ovarian tumors from an independent patient cohort, metastatic omental tumors largely displayed decreased MPZL3 expression, suggesting that MPZL3 loss is associated with metastatic progression. MPZL3 knock-down leads to strong upregulation of vimentin and an EMT gene signature that is associated with poor patient outcomes. Moreover, MPZL3 is necessary for homotypic cancer cell adhesion, and decreasing MPZL3 expression enhances invasion and clearance of mesothelial cell monolayers. In addition, MPZL3 loss abrogated cell cycle progression and proliferation. This was associated with increased resistance to Cisplatin and Olaparib and reduced DNA damage and apoptosis in response to these agents. Enhanced Cisplatin resistance was further validated in vivo. These data demonstrate for the first time that MPZL3 acts as an adhesion molecule and that MPZL3 loss results in EMT, decreased proliferation, and drug resistance in ovarian cancer. Our study suggests that decreased MPZL3 expression is a phenotype of ovarian cancer tumor progression and metastasis and may contribute to treatment failure in advanced-stage patients.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The MEK1/2 pathway as a therapeutic target in high-grade serous ovarian carcinoma 97%
- Suppression of Ovarian Cancer Cell Proliferation is Associated with Upregulation of Cell-Matrix Adhesion Programs and Integrin-β4-Induced Cell Protection from Cisplatin. 97%
- Characterization of SOX2, OCT4 and NANOG in ovarian cancer tumor-initiating cells 96%
Similar papers in this journal
- Evaluation of deacetylase inhibition in metaplastic breast carcinoma using multiple derivations of preclinical models of a new patient-derived tumor 95%
- Autocrine Signaling by Receptor Tyrosine Kinases in Urothelial Carcinoma of the Bladder 95%
- Blockade of Interleukin-6 (IL-6) Signaling in Dedifferentiated Liposarcoma (DDLPS) Decreases Mouse Double Minute 2 (MDM2) Oncogenicity via Alternative Splicing 94%
Similar papers in this journal
- Periostin facilitates ovarian cancer recurrence by enhancing cancer stemness 97%
- Establishment and characterization of a cell line and patient-derived xenograft (PDX) from peritoneal metastasis of low-grade serous ovarian carcinoma 96%
- Transcriptome Profiling and Characterization of Peritoneal Metastasis Ovarian Cancer Xenografts in Humanized Mice 95%
Similar papers in this journal
- Tumor Necrosis Factor Receptor Signaling Modulates Carcinogenesis in a Mouse Model of Breast Cancer 94%
- Prostaglandin F2α-induced TGFβ-PMEPA1 pathway is a critical mediator of epithelial plasticity and ovarian carcinoma progression. 93%
- P53-independent restoration of p53 pathway in tumors with mutated p53 through ATF4 transcriptional modulation by ERK1/2 and CDK9 93%
Similar papers in this journal
- Deubiquitinase UCHL1 Maintains Protein Homeostasis through PSMA7-APEH-Proteasome Axis in High-Grade Serous Ovarian Carcinoma 95%
- Identifying and targeting key driver genes for collagen production within the 11q13/14 breast cancer amplicon 94%
- Allele-specific gene regulation, phenotypes, and therapeutic vulnerabilities in estrogen receptor alpha mutant endometrial cancer 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.