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Xu W, Goreczny GJ, Forsythe I, Brennan G, Stowell T, Brock K, Capella B, Turner CE. Hic-5 regulates extracellular matrix-associated gene expression and cytokine secretion in cancer associated fibroblasts. Exp Cell Res 2024; 435:113930. [PMID: 38237846 PMCID: PMC10923124 DOI: 10.1016/j.yexcr.2024.113930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/26/2024]
Abstract
The focal adhesion protein, Hic-5 plays a key role in promoting extracellular matrix deposition and remodeling by cancer associated fibroblasts within the tumor stroma to promote breast tumor cell invasion. However, whether stromal matrix gene expression is regulated by Hic-5 is still unknown. Utilizing a constitutive Hic-5 knockout, Mouse Mammary Tumor Virus-Polyoma Middle T-Antigen spontaneous breast tumor mouse model, bulk RNAseq analysis was performed on cancer associated fibroblasts isolated from Hic-5 knockout mammary tumors. Functional network analysis highlighted a key role for Hic-5 in extracellular matrix organization, with both structural matrix genes, as well as matrix remodeling genes being differentially expressed in relation to Hic-5 expression. The subcellular distribution of the MRTF-A transcription factor and expression of a subset of MRTF-A responsive genes was also impacted by Hic-5 expression. Additionally, cytokine array analysis of conditioned media from the Hic-5 and Hic-5 knockout cancer associated fibroblasts revealed that Hic-5 is important for the secretion of several key factors that are associated with matrix remodeling, angiogenesis and immune evasion. Together, these data provide further evidence of a central role for Hic-5 expression in cancer associated fibroblasts in regulating the composition and organization of the tumor stroma microenvironment to promote breast tumor progression.
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Affiliation(s)
- Weiyi Xu
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA; Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Gregory J Goreczny
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA; Jnana Therapeutics, Boston, MA, USA
| | - Ian Forsythe
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA; Zymo Research Corp, Huntington Beach, CA, USA
| | - Grant Brennan
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Theresa Stowell
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Katia Brock
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Benjamin Capella
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Christopher E Turner
- Department of Cell and Developmental Biology, State University of New York Upstate Medical University, Syracuse, NY, USA.
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Xing J, Griffith CC. CDKN2A/p16 evaluation in cytology specimens. Cancer Cytopathol 2023; 131:672-676. [PMID: 37068112 DOI: 10.1002/cncy.22701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 04/18/2023]
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Dahl E, Villwock S, Habenberger P, Choidas A, Rose M, Klebl BM. White Paper: Mimetics of Class 2 Tumor Suppressor Proteins as Novel Drug Candidates for Personalized Cancer Therapy. Cancers (Basel) 2022; 14:cancers14184386. [PMID: 36139547 PMCID: PMC9496810 DOI: 10.3390/cancers14184386] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/01/2022] [Accepted: 09/07/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary A concept is presented for a new therapeutic approach, still in its early stages, which focuses on the phenotypic mimicry (“mimesis”) of proteins encoded by highly disease-relevant class 2 tumor suppressor genes that are silenced by DNA promoter methylation. Proteins derived from tumor suppressor genes are usually considered control systems of cells against oncogenic properties. Thus they represent the brakes in the “car-of-life.” Restoring this “brake function” in tumors by administering mimetic drugs may have a significant therapeutic effect. The proposed approach could thus open up a new, hitherto unexploited area of research for the development of anticancer drugs for difficult-to-treat cancers. Abstract The aim of our proposed concept is to find new target structures for combating cancers with unmet medical needs. This, unfortunately, still applies to the majority of the clinically most relevant tumor entities such as, for example, liver cancer, pancreatic cancer, and many others. Current target structures almost all belong to the class of oncogenic proteins caused by tumor-specific genetic alterations, such as activating mutations, gene fusions, or gene amplifications, often referred to as cancer “driver alterations” or just “drivers.” However, restoring the lost function of tumor suppressor genes (TSGs) could also be a valid approach to treating cancer. TSG-derived proteins are usually considered as control systems of cells against oncogenic properties; thus, they represent the brakes in the “car-of-life.” Restoring these tumor-defective brakes by gene therapy has not been successful so far, with a few exceptions. It can be assumed that most TSGs are not being inactivated by genetic alteration (class 1 TSGs) but rather by epigenetic silencing (class 2 TSGs or short “C2TSGs”). Reactivation of C2TSGs in cancer therapy is being addressed by the use of DNA demethylating agents and histone deacetylase inhibitors which act on the whole cancer cell genome. These epigenetic therapies have neither been particularly successful, probably because they are “shotgun” approaches that, although acting on C2TSGs, may also reactivate epigenetically silenced oncogenic sequences in the genome. Thus, new strategies are needed to exploit the therapeutic potential of C2TSGs, which have also been named DNA methylation cancer driver genes or “DNAme drivers” recently. Here we present a concept for a new translational and therapeutic approach that focuses on the phenotypic imitation (“mimesis”) of proteins encoded by highly disease-relevant C2TSGs/DNAme drivers. Molecular knowledge on C2TSGs is used in two complementary approaches having the translational concept of defining mimetic drugs in common: First, a concept is presented how truncated and/or genetically engineered C2TSG proteins, consisting solely of domains with defined tumor suppressive function can be developed as biologicals. Second, a method is described for identifying small molecules that can mimic the effect of the C2TSG protein lost in the cancer cell. Both approaches should open up a new, previously untapped discovery space for anticancer drugs.
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Affiliation(s)
- Edgar Dahl
- Institute of Pathology, Medical Faculty, RWTH Aachen University, D-52074 Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), D-52074 Aachen, Germany
- Correspondence:
| | - Sophia Villwock
- Institute of Pathology, Medical Faculty, RWTH Aachen University, D-52074 Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), D-52074 Aachen, Germany
| | - Peter Habenberger
- Lead Discovery Center GmbH (LDC), Otto-Hahn-Straße 15, D-44227 Dortmund, Germany
| | - Axel Choidas
- Lead Discovery Center GmbH (LDC), Otto-Hahn-Straße 15, D-44227 Dortmund, Germany
| | - Michael Rose
- Institute of Pathology, Medical Faculty, RWTH Aachen University, D-52074 Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), D-52074 Aachen, Germany
| | - Bert M. Klebl
- Lead Discovery Center GmbH (LDC), Otto-Hahn-Straße 15, D-44227 Dortmund, Germany
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Wu CE, Chen CP, Huang WK, Pan YR, Aptullahoglu E, Yeh CN, Lunec J. p53 as a biomarker and potential target in gastrointestinal stromal tumors. Front Oncol 2022; 12:872202. [PMID: 35965531 PMCID: PMC9372431 DOI: 10.3389/fonc.2022.872202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 07/06/2022] [Indexed: 12/07/2022] Open
Abstract
KIT and PDGFRA play a major role in the oncogenic process in gastrointestinal stroma tumors (GIST) and small molecules have been employed with great success to target the KIT and PDGFRA pathways in this cancer. However, approximately 10% of patients with GIST are resistant to current targeted drug therapy. There is a need to explore other potential targets. Although p53 alterations frequently occur in most cancers, studies regarding p53 in GIST have been limited. The CDKN2A/MDM2/p53 axis regulates cell cycle progression and DNA damage responses, which in turn control tumor growth. This axis is the major event required for transformation from low- to high-risk GIST. Generally, p53 mutation is infrequent in GIST, but p53 overexpression has been reported to be associated with high-risk GIST and unfavorable prognosis, implying that p53 should play a critical role in GIST. Also, Wee1 regulates the cell cycle and the antitumor activity of Wee1 inhibition was reported to be p53 mutant dependent. In addition, Wee1 was reported to have potential activity in GIST through the regulation of KIT protein and this mechanism may be dependent on p53 status. In this article, we review previous reports regarding the role of p53 in GIST and propose targeting the p53 pathway as a novel additional treatment strategy for GIST.
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Affiliation(s)
- Chiao-En Wu
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chiao-Ping Chen
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wen-Kuan Huang
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Yi-Ru Pan
- Department of General Surgery and Liver Research Center, Chang Gung Memorial Hospital at Linkou, Chang Gung University, Taoyuan, Taiwan
| | - Erhan Aptullahoglu
- Department of Molecular Biology and Genetics, Bilecik Seyh Edebali University, Bilecik, Turkey
| | - Chun-Nan Yeh
- Department of General Surgery and Liver Research Center, Chang Gung Memorial Hospital at Linkou, Chang Gung University, Taoyuan, Taiwan
- *Correspondence: Chun-Nan Yeh, ; John Lunec,
| | - John Lunec
- Newcastle University Cancer Center, Bioscience Institute, Medical Faculty, Newcastle University, Newcastle upon Tyne, United Kingdom
- *Correspondence: Chun-Nan Yeh, ; John Lunec,
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Liang CW, Fang PW, Huang HY, Lo CM. Deep Convolutional Neural Networks Detect Tumor Genotype from Pathological Tissue Images in Gastrointestinal Stromal Tumors. Cancers (Basel) 2021; 13:5787. [PMID: 34830948 PMCID: PMC8616403 DOI: 10.3390/cancers13225787] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/07/2021] [Accepted: 11/16/2021] [Indexed: 11/17/2022] Open
Abstract
Gastrointestinal stromal tumors (GIST) are common mesenchymal tumors, and their effective treatment depends upon the mutational subtype of the KIT/PDGFRA genes. We established deep convolutional neural network (DCNN) models to rapidly predict drug-sensitive mutation subtypes from images of pathological tissue. A total of 5153 pathological images of 365 different GISTs from three different laboratories were collected and divided into training and validation sets. A transfer learning mechanism based on DCNN was used with four different network architectures, to identify cases with drug-sensitive mutations. The accuracy ranged from 87% to 75%. Cross-institutional inconsistency, however, was observed. Using gray-scale images resulted in a 7% drop in accuracy (accuracy 80%, sensitivity 87%, specificity 73%). Using images containing only nuclei (accuracy 81%, sensitivity 87%, specificity 73%) or cytoplasm (accuracy 79%, sensitivity 88%, specificity 67%) produced 6% and 8% drops in accuracy rate, respectively, suggesting buffering effects across subcellular components in DCNN interpretation. The proposed DCNN model successfully inferred cases with drug-sensitive mutations with high accuracy. The contribution of image color and subcellular components was also revealed. These results will help to generate a cheaper and quicker screening method for tumor gene testing.
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Affiliation(s)
- Cher-Wei Liang
- Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City 243, Taiwan; (C.-W.L.); (P.-W.F.)
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
- Graduate Institute of Pathology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Pei-Wei Fang
- Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City 243, Taiwan; (C.-W.L.); (P.-W.F.)
| | - Hsuan-Ying Huang
- Department of Anatomic Pathology, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan;
| | - Chung-Ming Lo
- Graduate Institute of Library, Information and Archival Studies, National Chengchi University, Taipei 116, Taiwan
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Dermawan JK, Rubin BP. Molecular Pathogenesis of Gastrointestinal Stromal Tumor: A Paradigm for Personalized Medicine. ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE 2021; 17:323-344. [PMID: 34736340 DOI: 10.1146/annurev-pathol-042220-021510] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Over the past three to four decades, the molecular pathogenesis of gastrointestinal stromal tumors (GISTs) has been elucidated in great detail. In this review, we discuss the biological genesis of GISTs, identification of the various primary activating driver mutations (focusing on KIT and PDGFRA), oncogene addiction and targeted therapies with imatinib and other tyrosine kinase inhibitors, and the subsequent characterization of the various mechanisms of drug resistance. We illustrate how GIST has become a quintessential paradigm for personalized medicine. Expected final online publication date for the Annual Review of Pathology: Mechanisms of Disease, Volume 17 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Josephine K Dermawan
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA; ,
| | - Brian P Rubin
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio 44195, USA; ,
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