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Kolokotroni E, Abler D, Ghosh A, Tzamali E, Grogan J, Georgiadi E, Büchler P, Radhakrishnan R, Byrne H, Sakkalis V, Nikiforaki K, Karatzanis I, McFarlane NJB, Kaba D, Dong F, Bohle RM, Meese E, Graf N, Stamatakos G. A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin. J Pers Med 2024; 14:475. [PMID: 38793058 PMCID: PMC11122096 DOI: 10.3390/jpm14050475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 05/26/2024] Open
Abstract
The massive amount of human biological, imaging, and clinical data produced by multiple and diverse sources necessitates integrative modeling approaches able to summarize all this information into answers to specific clinical questions. In this paper, we present a hypermodeling scheme able to combine models of diverse cancer aspects regardless of their underlying method or scale. Describing tissue-scale cancer cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant cancer cell metabolism, and cell-signaling pathways that regulate the cellular response to therapy, the hypermodel integrates mutation, miRNA expression, imaging, and clinical data. The constituting hypomodels, as well as their orchestration and links, are described. Two specific cancer types, Wilms tumor (nephroblastoma) and non-small cell lung cancer, are addressed as proof-of-concept study cases. Personalized simulations of the actual anatomy of a patient have been conducted. The hypermodel has also been applied to predict tumor control after radiotherapy and the relationship between tumor proliferative activity and response to neoadjuvant chemotherapy. Our innovative hypermodel holds promise as a digital twin-based clinical decision support system and as the core of future in silico trial platforms, although additional retrospective adaptation and validation are necessary.
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Affiliation(s)
- Eleni Kolokotroni
- In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Zografos, Greece;
| | - Daniel Abler
- Department of Oncology, Geneva University Hospitals and University of Geneva, 1205 Geneva, Switzerland;
- Department of Oncology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
| | - Alokendra Ghosh
- Department of Chemical and Biomolecular Engineering, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.G.); (R.R.)
| | - Eleftheria Tzamali
- Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece; (E.T.); (V.S.); (K.N.); (I.K.)
| | - James Grogan
- Irish Centre for High End Computing, University of Galway, H91 TK33 Galway, Ireland;
| | - Eleni Georgiadi
- In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Zografos, Greece;
- Biomedical Engineering Department, University of West Attica, 12243 Egaleo, Greece
| | | | - Ravi Radhakrishnan
- Department of Chemical and Biomolecular Engineering, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; (A.G.); (R.R.)
| | - Helen Byrne
- Mathematical Institute, University of Oxford, Oxford OX1 2JD, UK;
| | - Vangelis Sakkalis
- Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece; (E.T.); (V.S.); (K.N.); (I.K.)
| | - Katerina Nikiforaki
- Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece; (E.T.); (V.S.); (K.N.); (I.K.)
| | - Ioannis Karatzanis
- Institute of Computer Science, Foundation for Research and Technology—Hellas, 70013 Heraklion, Greece; (E.T.); (V.S.); (K.N.); (I.K.)
| | | | - Djibril Kaba
- Department of Computer Science and Technology, University of Bedfordshire, Luton LU1 3JU, UK;
| | - Feng Dong
- Department of Computer & Information Sciences, University of Strathclyde, Glasgow G1 1XH, UK;
| | - Rainer M. Bohle
- Department of Pathology, Saarland University, 66421 Homburg, Germany;
| | - Eckart Meese
- Department of Human Genetics, Saarland University, 66421 Homburg, Germany;
| | - Norbert Graf
- Department of Paediatric Oncology and Haematology, Saarland University, 66421 Homburg, Germany;
| | - Georgios Stamatakos
- In Silico Oncology and In Silico Medicine Group, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Zografos, Greece;
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Jyoti TP, Chandel S, Singh R. Flow cytometry: Aspects and application in plant and biological science. JOURNAL OF BIOPHOTONICS 2024; 17:e202300423. [PMID: 38010848 DOI: 10.1002/jbio.202300423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/28/2023] [Indexed: 11/29/2023]
Abstract
Flow cytometry is a potent method that enables the quick and concurrent investigation of several characteristics of single cells in solution. Photodiodes or photomultiplier tubes are employed to detect the dispersed and fluorescent light signals that are produced by the laser beam as it passes through the cells. Photodetectors transform the light signals produced by the laser into electrical impulses. A computer then analyses these electrical impulses to identify and measure the various cell populations depending on their fluorescence or light scattering characteristics. Based on their fluorescence or light scattering properties, cell populations can be examined and/or isolated. This review covers the basic principle, components, working and specific biological applications of flow cytometry, including studies on plant, cell and molecular biology and methods employed for data processing and interpretation as well as the potential future relevance of this methodology in light of retrospective analysis and recent advancements in flow cytometry.
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Affiliation(s)
- Thakur Prava Jyoti
- Department of Pharmacognosy, ISF College of Pharmacy, Moga, Punjab, India
| | - Shivani Chandel
- Department of Pharmacognosy, ISF College of Pharmacy, Moga, Punjab, India
| | - Rajveer Singh
- Department of Pharmacognosy, ISF College of Pharmacy, Moga, Punjab, India
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3
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Jang Y, Kang S, Han HH, Kim BG, Cho NH. CD24 induced cellular quiescence-like state and chemoresistance in ovarian cancer cells via miR-130a/301a-dependent CDK19 downregulation. Cell Death Discov 2024; 10:81. [PMID: 38360723 PMCID: PMC10869724 DOI: 10.1038/s41420-024-01858-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/02/2024] [Accepted: 02/07/2024] [Indexed: 02/17/2024] Open
Abstract
Cancer stem-like cell (CSC) is thought to be responsible for ovarian cancer recurrence. CD24 serves as a CSC marker for ovarian cancer and regulates the expression of miRNAs, which are regulators of CSC phenotypes. Therefore, CD24-regulated miRNAs may play roles in manifesting the CSC phenotypes in ovarian cancer cells. Our miRNA transcriptome analysis showed that 94 miRNAs were up or down-regulated in a CD24-high clone from an ovarian cancer patient compared to a CD24-low one. The CD24-dependent expression trend of the top 7 upregulated miRNAs (miR-199a-3p, 34c, 199a-5p, 130a, 301a, 214, 34b*) was confirmed in other 8 clones (4 clones for each group). CD24 overexpression upregulated the expression of miR-199a-3p, 34c, 199a-5p, 130a, 301a, 214, and 34b* in TOV112D (CD24-low) cells compared to the control, while CD24 knockdown downregulated the expression of miR-199a-3p, 199a-5p, 130a, 301a, and 34b* in OV90 (CD24-high) cells. miR-130a and 301a targeted CDK19, which induced a cellular quiescence-like state (increased G0/G1 phase cell population, decreased cell proliferation, decreased colony formation, and decreased RNA synthesis) and resistance to platinum-based chemotherapeutic agents. CD24 regulated the expression of miR-130a and 301a via STAT4 and YY1 phosphorylation mediated by Src and FAK. miR-130a and 301a were positively correlated in expression with CD24 in ovarian cancer patient tissues and negatively correlated with CDK19. Our results showed that CD24 expression may induce a cellular quiescence-like state and resistance to platinum-based chemotherapeutic agents in ovarian cancer via miR-130a and 301a upregulation. CD24-miR-130a/301a-CDK19 signaling axis could be a prognostic marker for or a potential therapeutic target against ovarian cancer recurrence.
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Affiliation(s)
- Yeonsue Jang
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Suki Kang
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Ho Han
- Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Baek Gil Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Nam Hoon Cho
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Severance Biomedical Science Institute (SBSI), Yonsei University College of Medicine, Seoul, Republic of Korea.
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4
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Bhola R, Narwal A, Kamboj M, Devi A. Immunohistochemical Comparison of Ki-67 and MCM-3 in Odontogenic Cysts: An Observational Study. Appl Immunohistochem Mol Morphol 2024; 32:111-116. [PMID: 38062794 DOI: 10.1097/pai.0000000000001175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 11/02/2023] [Indexed: 02/20/2024]
Abstract
Odontogenic cysts are a diverse group of pathologic entities with different proliferation potential, leading to variations in their biological behavior. One of the most cited proliferation markers used in diagnostic histopathology is Ki-67. Another group of proteins recently investigated is minichromosome maintenance (MCM-3) and its expression has been evaluated in several odontogenic lesions but the results were controversial. Thus, the present study endeavored to compare the expression of MCM-3 and Ki-67 in odontogenic cysts. Furthermore, a pioneer attempt was made to evaluate the sensitivity of these markers to inflammation. A total of 101 cases (37 dentigerous cysts, 37 odontogenic keratocysts, and 27 radicular cysts) were included. Immunohistochemical expression of Ki-67 and MCM-3 were investigated using a labeling index (LI). In addition, they were scored for inflammation, followed by correlation with both markers. The data obtained were subjected to statistical analysis ( P <0.05). Overall, a higher LI of MCM-3 than Ki-67 was obtained in all study groups along with a positive correlation of Ki-67 LI with inflammation. Thus, MCM-3 proteins proved to be a more accurate means to determine the proliferation potential and were not sensitive to external stimuli like inflammation than conventional markers, such as Ki-67.
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Affiliation(s)
- Ridhi Bhola
- Department of Oral Pathology, Post Graduate Institute of Dental Sciences, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India
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Maleki EH, Bahrami AR, Matin MM. Cancer cell cycle heterogeneity as a critical determinant of therapeutic resistance. Genes Dis 2024; 11:189-204. [PMID: 37588236 PMCID: PMC10425754 DOI: 10.1016/j.gendis.2022.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/20/2022] [Accepted: 11/16/2022] [Indexed: 01/15/2023] Open
Abstract
Intra-tumor heterogeneity is now arguably one of the most-studied topics in tumor biology, as it represents a major obstacle to effective cancer treatment. Since tumor cells are highly diverse at genetic, epigenetic, and phenotypic levels, intra-tumor heterogeneity can be assumed as an important contributing factor to the nullification of chemotherapeutic effects, and recurrence of the tumor. Based on the role of heterogeneous subpopulations of cancer cells with varying cell-cycle dynamics and behavior during cancer progression and treatment; herein, we aim to establish a comprehensive definition for adaptation of neoplastic cells against therapy. We discuss two parallel and yet distinct subpopulations of tumor cells that play pivotal roles in reducing the effects of chemotherapy: "resistant" and "tolerant" populations. Furthermore, this review also highlights the impact of the quiescent phase of the cell cycle as a survival mechanism for cancer cells. Beyond understanding the mechanisms underlying the quiescence, it provides an insightful perspective on cancer stem cells (CSCs) and their dual and intertwined functions based on their cell cycle state in response to treatment. Moreover, CSCs, epithelial-mesenchymal transformed cells, circulating tumor cells (CTCs), and disseminated tumor cells (DTCs), which are mostly in a quiescent state of the cell cycle are proved to have multiple biological links and can be implicated in our viewpoint of cell cycle heterogeneity in tumors. Overall, increasing our knowledge of cell cycle heterogeneity is a key to identifying new therapeutic solutions, and this emerging concept may provide us with new opportunities to prevent the dreadful cancer recurrence.
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Affiliation(s)
- Ebrahim H. Maleki
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 31-007 Krakow, Poland
- Doctoral School of Exact and Natural Sciences, Jagiellonian University, 30-348 Krakow, Poland
| | - Ahmad Reza Bahrami
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran
- Industrial Biotechnology Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran
| | - Maryam M. Matin
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran
- Novel Diagnostics and Therapeutics Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran
- Stem Cell and Regenerative Medicine Research Group, Iranian Academic Center for Education, Culture and Research (ACECR), Khorasan Razavi Branch, 917751376 Mashhad, Iran
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6
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Lu X, Zhong L, Lindell E, Veanes M, Guo J, Zhao M, Salehi M, Swartling FJ, Chen X, Sjöblom T, Zhang X. Identification of ATF3 as a novel protective signature of quiescent colorectal tumor cells. Cell Death Dis 2023; 14:676. [PMID: 37833290 PMCID: PMC10576032 DOI: 10.1038/s41419-023-06204-1] [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: 07/06/2023] [Revised: 09/20/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023]
Abstract
Colorectal cancer (CRC) is the third most common cancer and the second leading cause of death in the world. In most cases, drug resistance and tumor recurrence are ultimately inevitable. One obstacle is the presence of chemotherapy-insensitive quiescent cancer cells (QCCs). Identification of unique features of QCCs may facilitate the development of new targeted therapeutic strategies to eliminate tumor cells and thereby delay tumor recurrence. Here, using single-cell RNA sequencing, we classified proliferating and quiescent cancer cell populations in the human colorectal cancer spheroid model and identified ATF3 as a novel signature of QCCs that could support cells living in a metabolically restricted microenvironment. RNA velocity further showed a shift from the QCC group to the PCC group indicating the regenerative capacity of the QCCs. Our further results of epigenetic analysis, STING analysis, and evaluation of TCGA COAD datasets build a conclusion that ATF3 can interact with DDIT4 and TRIB3 at the transcriptional level. In addition, decreasing the expression level of ATF3 could enhance the efficacy of 5-FU on CRC MCTS models. In conclusion, ATF3 was identified as a novel marker of QCCs, and combining conventional drugs targeting PCCs with an option to target QCCs by reducing ATF3 expression levels may be a promising strategy for more efficient removal of tumor cells.
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Affiliation(s)
- Xi Lu
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Lei Zhong
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, Sichuan, China
| | - Emma Lindell
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Margus Veanes
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jing Guo
- Centre for Computational Biology, Duke-NUS Medical School, 8 College Road, 169857, Singapore, Singapore
| | - Miao Zhao
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Maede Salehi
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Fredrik J Swartling
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Xingqi Chen
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Tobias Sjöblom
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Xiaonan Zhang
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
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7
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Du Y, Gupta P, Qin S, Sieber M. The role of metabolism in cellular quiescence. J Cell Sci 2023; 136:jcs260787. [PMID: 37589342 PMCID: PMC10445740 DOI: 10.1242/jcs.260787] [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] [Indexed: 08/18/2023] Open
Abstract
Cellular quiescence is a dormant, non-dividing cell state characterized by significant shifts in physiology and metabolism. Quiescence plays essential roles in a wide variety of biological processes, ranging from microbial sporulation to human reproduction and wound repair. Moreover, when the regulation of quiescence is disrupted, it can drive cancer growth and compromise tissue regeneration after injury. In this Review, we examine the dynamic changes in metabolism that drive and support dormant and transiently quiescent cells, including spores, oocytes and adult stem cells. We begin by defining quiescent cells and discussing their roles in key biological processes. We then examine metabolic factors that influence cellular quiescence in both healthy and disease contexts, and how these could be leveraged in the treatment of cancer.
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Affiliation(s)
- Yipeng Du
- UT Southwestern Medical Center, 5323 Harry Hines Blvd, MC9040 ND13.214, Dallas, TX 75390, USA
| | - Parul Gupta
- UT Southwestern Medical Center, 5323 Harry Hines Blvd, MC9040 ND13.214, Dallas, TX 75390, USA
| | - Shenlu Qin
- UT Southwestern Medical Center, 5323 Harry Hines Blvd, MC9040 ND13.214, Dallas, TX 75390, USA
| | - Matthew Sieber
- UT Southwestern Medical Center, 5323 Harry Hines Blvd, MC9040 ND13.214, Dallas, TX 75390, USA
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Zhang J, Xie Y, Liu X, Gan L, Li P, Dou Z, Di C, Zhang H, Si J. Carbon ions trigger DNA damage response to overcome radioresistance by regulating β-catenin signaling in quiescent HeLa cells. J Cell Physiol 2023; 238:1836-1849. [PMID: 37334439 DOI: 10.1002/jcp.31052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/26/2023] [Accepted: 05/06/2023] [Indexed: 06/20/2023]
Abstract
Quiescent cancer cells are major impediments to effective radiotherapy (RT) and exhibit limited sensitivity to traditional photon therapy. Herein, the functional role and underlying mechanism of carbon ions in overcoming the radioresistance of quiescent cervical cancer HeLa cells were determined. Briefly, serum withdrawal was used to induce synchronized quiescence in HeLa cells. Quiescent HeLa cells displayed strong radioresistance and DNA repair potential. After irradiation with carbon ions, the DNA damage repair pathway may markedly rely on error-prone nonhomologous end-joining in proliferating cells, whereas the high-precision homologous recombination pathway is more relevant in quiescent cells. This phenomenon could be explained by the ionizing radiation (IR)-induced cell cycle re-entry of quiescent cancer cells. There are three strategies for eradicating quiescent cancer cells using high-linear energy transfer (LET) carbon ions: direct cell death through complex DNA damage; apoptosis via an enhanced mitochondria-mediated intrinsic pathway; forced re-entry of quiescent cancer cells into the cell cycle, thereby improving their susceptibility to IR. Silencing β-catenin signaling is essential for maintaining the dormant state in quiescent cells. Herein, carbon ions activated the β-catenin pathway in quiescent cells, and inhibition of this pathway improved the resistance of quiescent HeLa cells to carbon ions by alleviating DNA damage, improving DNA damage repair, maintaining quiescent depth, and inhibiting apoptosis. Collectively, carbon ions conquer the radioresistance of quiescent HeLa cells by activating β-catenin signaling, which provides a theoretical basis for improved therapeutic effects in patients with middle-advanced-stage cervical cancer with radioresistance.
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Affiliation(s)
- Jinhua Zhang
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Yi Xie
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Xiaoyi Liu
- School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Lu Gan
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Pingping Li
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Zhihui Dou
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Cuixia Di
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Hong Zhang
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
| | - Jing Si
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
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9
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Alhasan B, Mikeladze M, Guzhova I, Margulis B. Autophagy, molecular chaperones, and unfolded protein response as promoters of tumor recurrence. Cancer Metastasis Rev 2023; 42:217-254. [PMID: 36723697 DOI: 10.1007/s10555-023-10085-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 01/16/2023] [Indexed: 02/02/2023]
Abstract
Tumor recurrence is a paradoxical function of a machinery, whereby a small proportion of the cancer cell population enters a resistant, dormant state, persists long-term in this condition, and then transitions to proliferation. The dormant phenotype is typical of cancer stem cells, tumor-initiating cells, disseminated tumor cells, and drug-tolerant persisters, which all demonstrate similar or even equivalent properties. Cancer cell dormancy and its conversion to repopulation are regulated by several protein signaling systems that inhibit or induce cell proliferation and provide optimal interrelations between cancer cells and their special niche; these systems act in close connection with tumor microenvironment and immune response mechanisms. During dormancy and reawakening periods, cell proteostasis machineries, autophagy, molecular chaperones, and the unfolded protein response are recruited to protect refractory tumor cells from a wide variety of stressors and therapeutic insults. Proteostasis mechanisms functionally or even physically interfere with the main regulators of tumor relapse, and the significance of these interactions and implications in the tumor recurrence phases are discussed in this review.
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Affiliation(s)
- Bashar Alhasan
- Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064, St. Petersburg, Russia.
| | - Marina Mikeladze
- Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064, St. Petersburg, Russia
| | - Irina Guzhova
- Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064, St. Petersburg, Russia
| | - Boris Margulis
- Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave. 4, 194064, St. Petersburg, Russia
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10
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Feng J, Xi Z, Jiang X, Li Y, Nik Nabil WN, Liu M, Song Z, Chen X, Zhou H, Dong Q, Xu H. Saikosaponin A enhances Docetaxel efficacy by selectively inducing death of dormant prostate cancer cells through excessive autophagy. Cancer Lett 2023; 554:216011. [PMID: 36442771 DOI: 10.1016/j.canlet.2022.216011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/24/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022]
Abstract
Quiescent cancer cells (QCCs), also known as dormant cancer cells, resist and survive chemo- and radiotherapy, resulting in treatment failure and later cancer recurrence when QCCs resume cell cycle progression. However, drugs selectively targeting QCCs are lacking. Saikosaponin A (SSA) derived from Bupleurum DC., is highly potent in eradicating multidrug-resistant prostate QCCs compared with proliferative prostate cancer cells. By further exacerbating the already increased autophagy through inactivation of Akt-mTOR signaling, SSA triggered cell death in QCCs. Contrarily, inhibition of autophagy or activation of Akt signaling pathway prevented SSA-induced cell death. The multicycle of Docetaxel treatments increased the proportion of QCCs, whereas administering SSA at intervals of Docetaxel treatments aggravated cell death in vitro and led to tumor growth arrest and cell death in vivo. In conclusion, SSA is posed as a novel QCCs-eradicating agent by aggravating autophagy in QCCs. In combination with the current therapy, SSA has potential to improve treatment effectiveness and to prevent cancer recurrence.
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Affiliation(s)
- Jiling Feng
- Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Shanghai, 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China; Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, China.
| | - Zhichao Xi
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
| | - Xue Jiang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
| | - Yang Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
| | - Wan Najbah Nik Nabil
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China; Pharmaceutical Services Program, Ministry of Health, Petaling Jaya, Selangor, 46200, Malaysia.
| | - Mengfan Liu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
| | - Zejia Song
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Faculty of Medicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, Finland
| | - Xiaoqiong Chen
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
| | - Hua Zhou
- Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Shanghai, 201203, China.
| | - Qihan Dong
- Chinese Medicine Anti-Cancer Evaluation Program, Greg Brown Laboratory, Central Clinical School and Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia; Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, NSW, 2050, Australia.
| | - Hongxi Xu
- Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Shanghai, 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, No. 1200, Cailun Road, Shanghai, 201203, China; Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, No. 1200, Cailun Road, Shanghai, 201203, China.
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11
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Weth FR, Peng L, Paterson E, Tan ST, Gray C. Utility of the Cerebral Organoid Glioma 'GLICO' Model for Screening Applications. Cells 2022; 12:cells12010153. [PMID: 36611949 PMCID: PMC9818141 DOI: 10.3390/cells12010153] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Glioblastoma, a grade IV astrocytoma, is regarded as the most aggressive primary brain tumour with an overall median survival of 16.0 months following the standard treatment regimen of surgical resection, followed by radiotherapy and chemotherapy with temozolomide. Despite such intensive treatment, the tumour almost invariably recurs. This poor prognosis has most commonly been attributed to the initiation, propagation, and differentiation of cancer stem cells. Despite the unprecedented advances in biomedical research over the last decade, the current in vitro models are limited at preserving the inter- and intra-tumoural heterogeneity of primary tumours. The ability to understand and manipulate complex cancers such as glioblastoma requires disease models to be clinically and translationally relevant and encompass the cellular heterogeneity of such cancers. Therefore, brain cancer research models need to aim to recapitulate glioblastoma stem cell function, whilst remaining amenable for analysis. Fortunately, the recent development of 3D cultures has overcome some of these challenges, and cerebral organoids are emerging as cutting-edge tools in glioblastoma research. The opportunity to generate cerebral organoids via induced pluripotent stem cells, and to perform co-cultures with patient-derived cancer stem cells (GLICO model), has enabled the analysis of cancer development in a context that better mimics brain tissue architecture. In this article, we review the recent literature on the use of patient-derived glioblastoma organoid models and their applicability for drug screening, as well as provide a potential workflow for screening using the GLICO model. The proposed workflow is practical for use in most laboratories with accessible materials and equipment, a good first pass, and no animal work required. This workflow is also amenable for analysis, with separate measures of invasion, growth, and viability.
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Affiliation(s)
- Freya R. Weth
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Lifeng Peng
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Erin Paterson
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
| | - Swee T. Tan
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Wellington Regional Plastic, Maxillofacial & Burns Unit, Hutt Hospital, Lower Hutt 5040, New Zealand
- Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Clint Gray
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Correspondence:
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12
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Analysis of Dormancy-Associated Transcriptional Networks Reveals a Shared Quiescence Signature in Lung and Colorectal Cancer. Int J Mol Sci 2022; 23:ijms23179869. [PMID: 36077264 PMCID: PMC9456317 DOI: 10.3390/ijms23179869] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 11/17/2022] Open
Abstract
Quiescent cancer cells (QCCs) are a common feature of solid tumors, representing a major obstacle to the long-term success of cancer therapies. We isolated QCCs ex vivo from non-small cell lung cancer (NSCLC) and colorectal cancer (CRC) xenografts with a label-retaining strategy and compared QCCs gene expression profiles to identify a shared “quiescence signature”. Principal Component Analysis (PCA) revealed a specific component neatly discriminating quiescent and replicative phenotypes in NSCLC and CRC. The discriminating component showed significant overlapping, with 688 genes in common including ZEB2, a master regulator of stem cell plasticity and epithelial-to-mesenchymal transition (EMT). Gene set enrichment analysis showed that QCCs of both NSCLC and CRC had an increased expression of factors related to stemness/self renewal, EMT, TGF-β, morphogenesis, cell adhesion and chemotaxis, whereas proliferating cells overexpressed Myc targets and factors involved in RNA metabolism. Eventually, we analyzed in depth by means of a complex network approach, both the ‘morphogenesis module’ and the subset of differentially expressed genes shared by NCSLC and CRC. This allowed us to recognize different gene regulation network wiring for quiescent and proliferating cells and to underpin few genes central for network integration that may represent new therapeutic vulnerabilities. Altogether, our results highlight common regulatory pathways in QCCs of lung and colorectal tumors that may be the target of future therapeutic interventions.
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13
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Safa AR. Drug and apoptosis resistance in cancer stem cells: a puzzle with many pieces. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2022; 5:850-872. [PMID: 36627897 PMCID: PMC9771762 DOI: 10.20517/cdr.2022.20] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/10/2022] [Accepted: 05/26/2022] [Indexed: 01/13/2023]
Abstract
Resistance to anticancer agents and apoptosis results in cancer relapse and is associated with cancer mortality. Substantial data have provided convincing evidence establishing that human cancers emerge from cancer stem cells (CSCs), which display self-renewal and are resistant to anticancer drugs, radiation, and apoptosis, and express enhanced epithelial to mesenchymal progression. CSCs represent a heterogeneous tumor cell population and lack specific cellular targets, which makes it a great challenge to target and eradicate them. Similarly, their close relationship with the tumor microenvironment creates greater complexity in developing novel treatment strategies targeting CSCs. Several mechanisms participate in the drug and apoptosis resistance phenotype in CSCs in various cancers. These include enhanced expression of ATP-binding cassette membrane transporters, activation of various cytoprotective and survival signaling pathways, dysregulation of stemness signaling pathways, aberrant DNA repair mechanisms, increased quiescence, autophagy, increased immune evasion, deficiency of mitochondrial-mediated apoptosis, upregulation of anti-apoptotic proteins including c-FLIP [cellular FLICE (FADD-like IL-1β-converting enzyme)-inhibitory protein], Bcl-2 family members, inhibitors of apoptosis proteins, and PI3K/AKT signaling. Studying such mechanisms not only provides mechanistic insights into these cells that are unresponsive to drugs, but may lead to the development of targeted and effective therapeutics to eradicate CSCs. Several studies have identified promising strategies to target CSCs. These emerging strategies may help target CSC-associated drug resistance and metastasis in clinical settings. This article will review the CSCs drug and apoptosis resistance mechanisms and how to target CSCs.
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Affiliation(s)
- Ahmad R. Safa
- Correspondence to: Dr. Ahmad R. Safa, Department of Pharmacology and Toxicology, 635 Barnhill Dr. MS A416, Indiana University School of Medicine, Indianapolis, IN 46202, USA. E-mail:
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14
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Tumor cell dormancy: Molecular mechanisms, and pharmacological approaches to target dormant cells for countering tumor. J Drug Deliv Sci Technol 2022. [DOI: 10.1016/j.jddst.2022.103645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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15
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Finding your niche: immune evasion in quiescent tumor reservoirs. Trends Immunol 2022; 43:500-502. [DOI: 10.1016/j.it.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 05/20/2022] [Indexed: 11/21/2022]
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16
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Sela Y, Li J, Maheswaran S, Norgard R, Yuan S, Hubbi M, Doepner M, Xu JP, Ho E, Measaros C, Sheehan C, Croley G, Muir A, Blair IA, Shalem O, Dang CV, Stanger BZ. Bcl-xL Enforces a Slow-Cycling State Necessary for Survival in the Nutrient-Deprived Microenvironment of Pancreatic Cancer. Cancer Res 2022; 82:1890-1908. [PMID: 35315913 PMCID: PMC9117449 DOI: 10.1158/0008-5472.can-22-0431] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/13/2022] [Accepted: 03/15/2022] [Indexed: 12/24/2022]
Abstract
Solid tumors possess heterogeneous metabolic microenvironments where oxygen and nutrient availability are plentiful (fertile regions) or scarce (arid regions). While cancer cells residing in fertile regions proliferate rapidly, most cancer cells in vivo reside in arid regions and exhibit a slow-cycling state that renders them chemoresistant. Here, we developed an in vitro system enabling systematic comparison between these populations via transcriptome analysis, metabolomic profiling, and whole-genome CRISPR screening. Metabolic deprivation led to pronounced transcriptional and metabolic reprogramming, resulting in decreased anabolic activities and distinct vulnerabilities. Reductions in anabolic, energy-consuming activities, particularly cell proliferation, were not simply byproducts of the metabolic challenge, but rather essential adaptations. Mechanistically, Bcl-xL played a central role in the adaptation to nutrient and oxygen deprivation. In this setting, Bcl-xL protected quiescent cells from the lethal effects of cell-cycle entry in the absence of adequate nutrients. Moreover, inhibition of Bcl-xL combined with traditional chemotherapy had a synergistic antitumor effect that targeted cycling cells. Bcl-xL expression was strongly associated with poor patient survival despite being confined to the slow-cycling fraction of human pancreatic cancer cells. These findings provide a rationale for combining traditional cancer therapies that target rapidly cycling cells with those that target quiescent, chemoresistant cells associated with nutrient and oxygen deprivation. SIGNIFICANCE The majority of pancreatic cancer cells inhabit nutrient- and oxygen-poor tumor regions and require Bcl-xL for their survival, providing a compelling antitumor metabolic strategy.
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Affiliation(s)
- Yogev Sela
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Jinyang Li
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Shivahamy Maheswaran
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Robert Norgard
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Salina Yuan
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Maimon Hubbi
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Miriam Doepner
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Jimmy P. Xu
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Elaine Ho
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Clementina Measaros
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Colin Sheehan
- Ben May Department of Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Grace Croley
- Ben May Department of Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Alexander Muir
- Ben May Department of Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Ian A. Blair
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
| | - Ophir Shalem
- Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Chi V. Dang
- Systems and Computational Biology Center and Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, 19104, USA
- Ludwig Institute for Cancer Research, New York, 10016, USA
| | - Ben Z. Stanger
- Departments of Medicine and Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, USA
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17
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Rahat MA. Mini-Review: Can the Metastatic Cascade Be Inhibited by Targeting CD147/EMMPRIN to Prevent Tumor Recurrence? Front Immunol 2022; 13:855978. [PMID: 35418981 PMCID: PMC8995701 DOI: 10.3389/fimmu.2022.855978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 03/07/2022] [Indexed: 12/05/2022] Open
Abstract
Solid tumors metastasize very early in their development, and once the metastatic cell is lodged in a remote organ, it can proliferate to generate a metastatic lesion or remain dormant for long periods. Dormant cells represent a real risk for future tumor recurrence, but because they are typically undetectable and insensitive to current modalities of treatment, it is difficult to treat them in time. We describe the metastatic cascade, which is the process that allows tumor cells to detach from the primary tumor, migrate in the tissue, intravasate and extravasate the lymphatics or a blood vessel, adhere to a remote tissue and eventually outgrow. We focus on the critical enabling role of the interactions between tumor cells and immune cells, especially macrophages, in driving the metastatic cascade, and on those stages that can potentially be targeted. In order to prevent the metastatic cascade and tumor recurrence, we would need to target a molecule that is involved in all of the steps of the process, and evidence is brought to suggest that CD147/EMMPRIN is such a protein and that targeting it blocks metastasis and prevents tumor recurrence.
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Affiliation(s)
- Michal A Rahat
- Immunotherapy Laboratory, Carmel Medical Center, Haifa, Israel.,Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
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18
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Nanog mediated by FAO/ACLY signaling induces cellular dormancy in colorectal cancer cells. Cell Death Dis 2022; 13:159. [PMID: 35177584 PMCID: PMC8854412 DOI: 10.1038/s41419-022-04606-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 01/20/2022] [Accepted: 02/04/2022] [Indexed: 12/15/2022]
Abstract
Dormant cancer cells drive recurrence and drug resistance, which lead to poor prognosis in colorectal cancer (CRC). The mechanisms that regulate the entry of cancer cells into dormancy remain to be extensively studied. Nanog is a master transcription factor to maintain the self-renewal and pluripotency of stem cells. Since dormant cancer cells are similar to quiescent cancer stem cells, the correlation between dormant state and Nanog in CRC is worth to be explored. Serum deprivation is a common method to establish experimental cellular dormancy model. Here, we verified that serum deprivation-induced CRC cells to enter a cellular dormancy state, characterized by no proliferation, no death, no senescence, resistance to chemotherapy, high expression of dormant markers, metabolic suppression, and recovery to active status. Interestingly, we further identified that Nanog was upregulated in dormant CRC cells. Nanog knockdown could destroy the dormant state of serum-deprived CRC cells while Nanog overexpression could induce dormancy in CRC cells. Mechanistically, Nanog was regulated through a fatty acid oxidation (FAO)/ATP citrate lyase (ACLY)-dependent pathway. FAO increased ACLY expression to promote the synthesis of acetyl-CoA, which was transferred by P300 to accelerate H3K27 acetylation of Nanog promoter. Then, Nanog upregulation increased the transcription of P21 and P27, which promoted the dormancy of CRC cells. Our findings revealed that Nanog could induce cellular dormancy in CRC cells and unlocked a specific mechanism to govern the process.
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19
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Dai R, Liu M, Xiang X, Li Y, Xi Z, Xu H. OMICS Applications for Medicinal Plants in Gastrointestinal Cancers: Current Advancements and Future Perspectives. Front Pharmacol 2022; 13:842203. [PMID: 35185591 PMCID: PMC8855055 DOI: 10.3389/fphar.2022.842203] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/20/2022] [Indexed: 12/24/2022] Open
Abstract
Gastrointestinal cancers refer to a group of deadly malignancies of the gastrointestinal tract and organs of the digestive system. Over the past decades, considerable amounts of medicinal plants have exhibited potent anticancer effects on different types of gastrointestinal cancers. OMICS, systems biology approaches covering genomics, transcriptomics, proteomics and metabolomics, are broadly applied to comprehensively reflect the molecular profiles in mechanistic studies of medicinal plants. Single- and multi-OMICS approaches facilitate the unravelling of signalling interaction networks and key molecular targets of medicinal plants with anti-gastrointestinal cancer potential. Hence, this review summarizes the applications of various OMICS and advanced bioinformatics approaches in examining therapeutic targets, signalling pathways, and the tumour microenvironment in response to anticancer medicinal plants. Advances and prospects in this field are also discussed.
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Affiliation(s)
- Rongchen Dai
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China
| | - Mengfan Liu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China
| | - Xincheng Xiang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China
| | - Yang Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China
| | - Zhichao Xi
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Shanghai Colleges for TCM New Drug Discovery, Shanghai, China
- *Correspondence: Zhichao Xi, ; Hongxi Xu,
| | - Hongxi Xu
- Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Zhichao Xi, ; Hongxi Xu,
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20
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Pulianmackal AJ, Sun D, Yumoto K, Li Z, Chen YC, Patel MV, Wang Y, Yoon E, Pearson A, Yang Q, Taichman R, Cackowski FC, Buttitta LA. Monitoring Spontaneous Quiescence and Asynchronous Proliferation-Quiescence Decisions in Prostate Cancer Cells. Front Cell Dev Biol 2021; 9:728663. [PMID: 34957090 PMCID: PMC8703172 DOI: 10.3389/fcell.2021.728663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
The proliferation-quiescence decision is a dynamic process that remains incompletely understood. Live-cell imaging with fluorescent cell cycle sensors now allows us to visualize the dynamics of cell cycle transitions and has revealed that proliferation-quiescence decisions can be highly heterogeneous, even among clonal cell lines in culture. Under normal culture conditions, cells often spontaneously enter non-cycling G0 states of varying duration and depth. This also occurs in cancer cells and G0 entry in tumors may underlie tumor dormancy and issues with cancer recurrence. Here we show that a cell cycle indicator previously shown to indicate G0 upon serum starvation, mVenus-p27K-, can also be used to monitor spontaneous quiescence in untransformed and cancer cell lines. We find that the duration of spontaneous quiescence in untransformed and cancer cells is heterogeneous and that a portion of this heterogeneity results from asynchronous proliferation-quiescence decisions in pairs of daughters after mitosis, where one daughter cell enters or remains in temporary quiescence while the other does not. We find that cancer dormancy signals influence both entry into quiescence and asynchronous proliferation-quiescence decisions after mitosis. Finally, we show that spontaneously quiescent prostate cancer cells exhibit altered expression of components of the Hippo pathway and are enriched for the stem cell markers CD133 and CD44. This suggests a hypothesis that dormancy signals could promote cancer recurrence by increasing the proportion of quiescent tumor cells poised for cell cycle re-entry with stem cell characteristics in cancer.
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Affiliation(s)
- Ajai J Pulianmackal
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States
| | - Dan Sun
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States
| | - Kenji Yumoto
- School of Dentistry, University of Michigan, Ann Arbor, MI, United States
| | - Zhengda Li
- Department of Biophysics, University of Michigan, Ann Arbor, MI, United States
| | - Yu-Chih Chen
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.,Department of Computational and Systems Biology, Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Meha V Patel
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States
| | - Yu Wang
- School of Dentistry, University of Michigan, Ann Arbor, MI, United States
| | - Euisik Yoon
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.,Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.,Center for Nanomedicine, Institute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (Nano BME), Advanced Science Institute, Yonsei University, Seoul, Korea, South Korea
| | - Alexander Pearson
- Department of Medicine, Section of Hematology/Oncology, University of Chicago Medical Center, Chicago, IL, United States
| | - Qiong Yang
- Department of Biophysics, University of Michigan, Ann Arbor, MI, United States
| | - Russell Taichman
- School of Dentistry, University of Michigan, Ann Arbor, MI, United States.,Department of Periodontology, School of Dentistry, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Frank C Cackowski
- School of Dentistry, University of Michigan, Ann Arbor, MI, United States.,Department of Oncology, Karmanos Cancer Institute and Wayne State University, Detroit, MI, United States
| | - Laura A Buttitta
- Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States
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21
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Quayle LA, Spicer A, Ottewell PD, Holen I. Transcriptomic Profiling Reveals Novel Candidate Genes and Signalling Programs in Breast Cancer Quiescence and Dormancy. Cancers (Basel) 2021; 13:cancers13163922. [PMID: 34439077 PMCID: PMC8392441 DOI: 10.3390/cancers13163922] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 07/30/2021] [Indexed: 01/11/2023] Open
Abstract
Metastatic recurrence, the major cause of breast cancer mortality, is driven by reactivation of dormant disseminated tumour cells that are defined by mitotic quiescence and chemoresistance. The molecular mechanisms underpinning mitotic quiescence in cancer are poorly understood, severely limiting the development of novel therapies for removal of residual, metastasis-initiating tumour cells. Here, we present a molecular portrait of the quiescent breast cancer cell transcriptome across the four main breast cancer sub-types (luminal, HER2-enriched, basal-like and claudin-low) and identify a novel quiescence-associated 22-gene signature using an established lipophilic-dye (Vybrant® DiD) retention model and whole-transcriptomic profiling (mRNA-Seq). Using functional association network analysis, we elucidate the molecular interactors of these signature genes. We then go on to demonstrate that our novel 22-gene signature strongly correlates with low tumoural proliferative activity, and with dormant disease and late metastatic recurrence (≥5 years after primary tumour diagnosis) in metastatic breast cancer in multiple clinical cohorts. These genes may govern the formation and persistence of disseminated tumour cell populations responsible for breast cancer recurrence, and therefore represent prospective novel candidates to inform future development of therapeutic strategies to target disseminated tumour cells in breast cancer, eliminate minimal residual disease and prevent metastatic recurrence.
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Affiliation(s)
- Lewis A. Quayle
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; (A.S.); (P.D.O.); (I.H.)
- Correspondence: ; Tel.: +44-114-215-9209
| | - Amy Spicer
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; (A.S.); (P.D.O.); (I.H.)
- The Francis Crick Institute, Midland Road, London NW1 1AT, UK
| | - Penelope D. Ottewell
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; (A.S.); (P.D.O.); (I.H.)
| | - Ingunn Holen
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield S10 2RX, UK; (A.S.); (P.D.O.); (I.H.)
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