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Pandya PH, Jannu AJ, Bijangi-Vishehsaraei K, Dobrota E, Bailey BJ, Barghi F, Shannon HE, Riyahi N, Damayanti NP, Young C, Malko R, Justice R, Albright E, Sandusky GE, Wurtz LD, Collier CD, Marshall MS, Gallagher RI, Wulfkuhle JD, Petricoin EF, Coy K, Trowbridge M, Sinn AL, Renbarger JL, Ferguson MJ, Huang K, Zhang J, Saadatzadeh MR, Pollok KE. Integrative Multi-OMICs Identifies Therapeutic Response Biomarkers and Confirms Fidelity of Clinically Annotated, Serially Passaged Patient-Derived Xenografts Established from Primary and Metastatic Pediatric and AYA Solid Tumors. Cancers (Basel) 2022; 15:259. [PMID: 36612255 PMCID: PMC9818438 DOI: 10.3390/cancers15010259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 01/04/2023] Open
Abstract
Establishment of clinically annotated, molecularly characterized, patient-derived xenografts (PDXs) from treatment-naïve and pretreated patients provides a platform to test precision genomics-guided therapies. An integrated multi-OMICS pipeline was developed to identify cancer-associated pathways and evaluate stability of molecular signatures in a panel of pediatric and AYA PDXs following serial passaging in mice. Original solid tumor samples and their corresponding PDXs were evaluated by whole-genome sequencing, RNA-seq, immunoblotting, pathway enrichment analyses, and the drug−gene interaction database to identify as well as cross-validate actionable targets in patients with sarcomas or Wilms tumors. While some divergence between original tumor and the respective PDX was evident, majority of alterations were not functionally impactful, and oncogenic pathway activation was maintained following serial passaging. CDK4/6 and BETs were prioritized as biomarkers of therapeutic response in osteosarcoma PDXs with pertinent molecular signatures. Inhibition of CDK4/6 or BETs decreased osteosarcoma PDX growth (two-way ANOVA, p < 0.05) confirming mechanistic involvement in growth. Linking patient treatment history with molecular and efficacy data in PDX will provide a strong rationale for targeted therapy and improve our understanding of which therapy is most beneficial in patients at diagnosis and in those already exposed to therapy.
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Affiliation(s)
- Pankita H. Pandya
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Asha Jacob Jannu
- Department of Biostatistics & Health Data Science Indiana, University School of Medicine, Indianapolis, IN 46202, USA
| | - Khadijeh Bijangi-Vishehsaraei
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Erika Dobrota
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Barbara J. Bailey
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Farinaz Barghi
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Harlan E. Shannon
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Niknam Riyahi
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Nur P. Damayanti
- Department of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Courtney Young
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rada Malko
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Ryli Justice
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Eric Albright
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - George E. Sandusky
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - L. Daniel Wurtz
- Department of Orthopedics Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Christopher D. Collier
- Department of Orthopedics Surgery, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Mark S. Marshall
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rosa I. Gallagher
- Center for Applied Proteomics and Molecular Medicine, Institute for Biomedical Innovation, George Mason University, Manassas, VA 20110, USA
| | - Julia D. Wulfkuhle
- Center for Applied Proteomics and Molecular Medicine, Institute for Biomedical Innovation, George Mason University, Manassas, VA 20110, USA
| | - Emanuel F. Petricoin
- Center for Applied Proteomics and Molecular Medicine, Institute for Biomedical Innovation, George Mason University, Manassas, VA 20110, USA
| | - Kathy Coy
- Preclinical Modeling and Therapeutics Core, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Melissa Trowbridge
- Preclinical Modeling and Therapeutics Core, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Anthony L. Sinn
- Preclinical Modeling and Therapeutics Core, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Jamie L. Renbarger
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Michael J. Ferguson
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Kun Huang
- Department of Biostatistics & Health Data Science Indiana, University School of Medicine, Indianapolis, IN 46202, USA
| | - Jie Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - M. Reza Saadatzadeh
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Karen E. Pollok
- Department of Pediatrics, Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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Safi S, Badshah Y, Shabbir M, Zahra K, Khan K, Dilshad E, Afsar T, Almajwal A, Alruwaili NW, Al-disi D, Abulmeaty M, Razak S. Predicting 3D Structure, Cross Talks, and Prognostic Significance of KLF9 in Cervical Cancer. Front Oncol 2022; 11:797007. [PMID: 35047407 PMCID: PMC8761731 DOI: 10.3389/fonc.2021.797007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/30/2021] [Indexed: 12/14/2022] Open
Abstract
Our study aimed to identify the new blood-based biomarkers for the diagnosis and prognosis of cervical cancer. Moreover, the three-dimensional (3D) structure of Kruppel-like factor 9 (KLF9) was also determined in order to better understand its function, and a signaling pathway was constructed to identity its upstream and downstream targets. In the current study, the co-expressions of tumor protein D52 (TPD52), KLF9, microRNA 223 (miR-223), and protein kinase C epsilon (PKCϵ) were evaluated in cervical cancer patients and a possible relation with disease outcome was revealed. The expressions of TPD52, KLF9, miR-223, and PKCϵ were studied in the blood of 100 cervical cancer patients and 100 healthy controls using real-time PCR. The 3D structure of KLF9 was determined through homology modeling via the SWISS-MODEL and assessed using the Ramachandran plot. The predicted 3D structure of KLF9 had a similarity index of 62% with its template (KLF4) with no bad bonds in it. In order to construct a genetic pathway, depicting the crosstalk between understudied genes, STRING analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), and DAVID software were used. The constructed genetic pathway showed that all the understudied genes are linked to each other and involved in the PI3K/Akt signaling pathway. There was a 23-fold increase in TPD52 expression, a 2-fold increase in miR-223 expression, a 0.14-fold decrease in KLF9 expression, and a 0.05-fold decrease of PKCϵ expression in cervical cancer. In the present study, we observed an association of the expressions of TPD52, KLF9, miR-223, and PKCϵ with tumor stage, metastasis, and treatment status of cervical cancer patients. Elevated expressions of TPD52 and miR-223 and reduced expressions of KLF9 and PKCϵ in peripheral blood of cervical cancer patients may serve as predictors of disease diagnosis and prognosis. Nevertheless, further in vitro and tissue-level studies are required to strengthen their role as potential diagnostic and prognostic biomarkers.
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Affiliation(s)
- Sadia Safi
- Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Yasmin Badshah
- Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Maria Shabbir
- Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Kainat Zahra
- Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Khushbukhat Khan
- Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Erum Dilshad
- Department of Bioinformatics and Biosciences, Faculty of Health and Life Sciences, Capital University of Science and Technology (CUST), Islamabad, Pakistan
| | - Tayyaba Afsar
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Ali Almajwal
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Nawaf W. Alruwaili
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Dara Al-disi
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Mahmoud Abulmeaty
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Suhail Razak
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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Xiong L, Guo W, Yang Y, Gao D, Wang J, Qu Y, Zhang Y. Tectoridin inhibits the progression of colon cancer through downregulating PKC/p38 MAPK pathway. Mol Cell Biochem 2021; 476:2729-2738. [PMID: 33683556 DOI: 10.1007/s11010-021-04081-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 01/25/2021] [Indexed: 10/22/2022]
Abstract
Colon cancer is one of the most familiar malignancies worldwide, with high morbidity and high mortality. This study intended to explore the role and mechanism of tectoridin (TEC) in regulating the progression of colon cancer. First, colon cancer cell lines (HCT116 and SW480 cells) were treated with different doses of TEC (0-200 μM). Then, CCK8 and clone formation experiments were performed to detect cell proliferation. Flow cytometry and western blot were conducted to examine apoptosis. Subsequently, Transwell assay and wound-healing test was employed to determine the effect of TEC on colon cancer cell invasion and migration. Next, western blot was performed to monitor the PKC/p38 MAPK pathway activation. In addition, a tumor model was established in nude mice to explore the effect of TEC on tumor growth in vivo. TEC dose-dependently dampened the proliferation, migration and invasion of colon cancer cells and facilitated their apoptosis. In addition, TEC abated the tumor cell growth in vivo. Besides, TEC dose-dependently suppressed the expression of PKC and p38 MAPK. Moreover, inhibiting the PKC pathway almost cancel out the anti-tumor effects induced by TEC. TEC attenuates the colon cancer progression by inhibiting the PKC/p38 MAPK pathway.
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Affiliation(s)
- Lingfan Xiong
- Department of Oncology, China Resources & WISCO General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430080, Hubei, China.,Department of Oncology, China Resources & WISCO General Hospital, Wuhan, 430080, Hubei, China
| | - Wenhao Guo
- Department of Oncology, China Resources & WISCO General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430080, Hubei, China. .,Department of Oncology, China Resources & WISCO General Hospital, Wuhan, 430080, Hubei, China.
| | - Yong Yang
- Department of Oncology, The Second Hospital of WlSCO, Wuhan, 430085, Hubei, China
| | - Danping Gao
- Department of Obstetrics and Gynaecology, Wuhan Hongshan District Maternal and Child Health Care Hospital, Wuhan, 430073, Hubei, China
| | - Jun Wang
- Department of Oncology, China Resources & WISCO General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430080, Hubei, China.,Department of Oncology, China Resources & WISCO General Hospital, Wuhan, 430080, Hubei, China
| | - Yuanyuan Qu
- Department of Oncology, The Second Hospital of WlSCO, Wuhan, 430085, Hubei, China
| | - Ying Zhang
- Department of Oncology, China Resources & WISCO General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, 430080, Hubei, China.,Department of Oncology, China Resources & WISCO General Hospital, Wuhan, 430080, Hubei, China
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