Literature DB >> 33513911

Detection of Tumor-Specific PTPmu in Gynecological Cancer and Patient Derived Xenografts.

Jason Vincent1, Sonya E L Craig1, Mette L Johansen1, Jyosthna Narla2, Stefanie Avril3, Analisa DiFeo4, Susann M Brady-Kalnay1,3.   

Abstract

BACKGROUND: We developed a fluorophore-conjugated peptide agent, SBK4, that detects a tumor-specific proteolyzed form of the cell adhesion molecule, PTPmu, found in the tumor microenvironment. We previously demonstrated its tissue specific distribution in high-grade brain tumors. To extend those studies to other aggressive solid tumor types, we assessed the tissue distribution of PTPmu/SBK4 in a set of matched gynecologic cancer patient derived xenografts (PDXs) and primary patient tumors, as well as a limited cohort of tumors from gynecological cancer patients. PDXs isolated from the tissues of cancer patients have been shown to yield experimentally manipulatable models that replicate the clinical characteristics of individual patients' tumors. In this study, gynecological cancer PDXs and patient biopsies were examined to determine if tumor-specific proteolyzed PTPmu was present.
METHODS: We used the peptide agent SBK4 conjugated to the fluorophore Texas Red (TR) to label tumor tissue microarrays (TMAs) containing patient and/or PDX samples from several high-grade gynecologic cancer types, and quantified the level of staining with Image J. In one TMA, we were able to directly compare the patient and the matched PDX tissue on the same slide.
RESULTS: While normal tissue had very little SBK4-TR staining, both primary tumor tissue and PDXs have higher labeling with SBK4-TR. Matched PDXs and patient samples from high-grade endometrial and ovarian cancers demonstrated higher levels of PTPmu by staining with SBK4 than normal tissue.
CONCLUSION: In this sample set, all PDXs and high-grade ovarian cancer samples had increased labeling by SBK4-TR compared with the normal controls. Our results indicate that proteolyzed PTPmu and its novel peptide detection agent, SBK4, allow for the visualization of tumor-specific changes in cell adhesion molecules by tissue-based staining, providing a rationale for further development as an imaging agent in aggressive solid tumors, including gynecological cancers.

Entities:  

Keywords:  PTP; biomarker; cancer; cell adhesion molecule; endometrial cancer; ovarian cancer; protein tyrosine phosphatase; tumor microenvironment

Year:  2021        PMID: 33513911      PMCID: PMC7911696          DOI: 10.3390/diagnostics11020181

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  16 in total

Review 1.  Ovarian low-grade and high-grade serous carcinoma: pathogenesis, clinicopathologic and molecular biologic features, and diagnostic problems.

Authors:  Russell Vang; Ie-Ming Shih; Robert J Kurman
Journal:  Adv Anat Pathol       Date:  2009-09       Impact factor: 3.875

2.  A novel molecular diagnostic of glioblastomas: detection of an extracellular fragment of protein tyrosine phosphatase mu.

Authors:  Susan M Burden-Gulley; Theresa J Gates; Adam M Burgoyne; Jennifer L Cutter; David T Lodowski; Shenandoah Robinson; Andrew E Sloan; Robert H Miller; James P Basilion; Susann M Brady-Kalnay
Journal:  Neoplasia       Date:  2010-04       Impact factor: 5.715

3.  Should I stay or should I go? Shedding of RPTPs in cancer cells switches signals from stabilizing cell-cell adhesion to driving cell migration.

Authors:  Polly J Phillips-Mason; Sonya E L Craig; Susann M Brady-Kalnay
Journal:  Cell Adh Migr       Date:  2011-07-01       Impact factor: 3.405

4.  A protease storm cleaves a cell-cell adhesion molecule in cancer: multiple proteases converge to regulate PTPmu in glioma cells.

Authors:  Polly J Phillips-Mason; Sonya E L Craig; Susann M Brady-Kalnay
Journal:  J Cell Biochem       Date:  2014-09       Impact factor: 4.429

5.  Single cell molecular recognition of migrating and invading tumor cells using a targeted fluorescent probe to receptor PTPmu.

Authors:  Susan M Burden-Gulley; Mohammed Q Qutaish; Kristin E Sullivant; Mingqian Tan; Sonya E L Craig; James P Basilion; Zheng-Rong Lu; David L Wilson; Susann M Brady-Kalnay
Journal:  Int J Cancer       Date:  2012-10-11       Impact factor: 7.396

6.  Molecular Magnetic Resonance Imaging of Tumors with a PTPµ Targeted Contrast Agent.

Authors:  Susan M Burden-Gulley; Zhuxian Zhou; Sonya El Craig; Zheng-Rong Lu; Susann M Brady-Kalnay
Journal:  Transl Oncol       Date:  2013-06-01       Impact factor: 4.243

7.  PTPmu suppresses glioma cell migration and dispersal.

Authors:  Adam M Burgoyne; Juan M Palomo; Polly J Phillips-Mason; Susan M Burden-Gulley; Denice L Major; Anita Zaremba; Shenandoah Robinson; Andrew E Sloan; Michael A Vogelbaum; Robert H Miller; Susann M Brady-Kalnay
Journal:  Neuro Oncol       Date:  2009-12       Impact factor: 12.300

Review 8.  High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints.

Authors:  Michael-Antony Lisio; Lili Fu; Alicia Goyeneche; Zu-Hua Gao; Carlos Telleria
Journal:  Int J Mol Sci       Date:  2019-02-22       Impact factor: 5.923

9.  A PTPmu Biomarker is Associated with Increased Survival in Gliomas.

Authors:  Mette L Johansen; Jason Vincent; Haley Gittleman; Sonya E L Craig; Marta Couce; Andrew E Sloan; Jill S Barnholtz-Sloan; Susann M Brady-Kalnay
Journal:  Int J Mol Sci       Date:  2019-05-14       Impact factor: 5.923

Review 10.  A Comprehensive Review of Ovarian Serous Carcinoma.

Authors:  Yuichiro Hatano; Kayoko Hatano; Maho Tamada; Ken-Ichirou Morishige; Hiroyuki Tomita; Hiroyuki Yanai; Akira Hara
Journal:  Adv Anat Pathol       Date:  2019-09       Impact factor: 3.875

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  3 in total

1.  Perspectives on Ovarian Cancer 1809 to 2022 and Beyond.

Authors:  Frank G Lawton; Edward J Pavlik
Journal:  Diagnostics (Basel)       Date:  2022-03-24

2.  Ultrasound-Based Molecular Imaging of Tumors with PTPmu Biomarker-Targeted Nanobubble Contrast Agents.

Authors:  Mette L Johansen; Reshani Perera; Eric Abenojar; Xinning Wang; Jason Vincent; Agata A Exner; Susann M Brady-Kalnay
Journal:  Int J Mol Sci       Date:  2021-02-17       Impact factor: 5.923

3.  Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer.

Authors:  Vanessa F Bonazzi; Olga Kondrashova; Deborah Smith; Katia Nones; Asmerom T Sengal; Robert Ju; Leisl M Packer; Lambros T Koufariotis; Stephen H Kazakoff; Aimee L Davidson; Priya Ramarao-Milne; Vanessa Lakis; Felicity Newell; Rebecca Rogers; Claire Davies; James Nicklin; Andrea Garrett; Naven Chetty; Lewis Perrin; John V Pearson; Ann-Marie Patch; Nicola Waddell; Pamela M Pollock
Journal:  Genome Med       Date:  2022-01-10       Impact factor: 11.117

  3 in total

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