From: Exploring the promising potential of induced pluripotent stem cells in cancer research and therapy
Study Title | Key Results | Impact on Understanding of Tumorigenesis | References |
---|---|---|---|
“Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors” by Takahashi and Yamanaka, 2006 | Demonstrated that adult cells could be reprogrammed to a pluripotent state, known as iPSCs, using only a few transcription factors | iPSCs have become a valuable tool for studying tumorigenesis as they can be differentiated into various cell types that can be used to model cancer progression and test potential therapies | [731] |
“Modeling cancer using patient-derived induced pluripotent stem cells to understand development of childhood malignancies” by Navarro et al., 2018 | Generated iPSCs from pediatric cancer patients to study the molecular mechanisms of cancer development | This study provided insight into the genetic and epigenetic changes that occur during cancer development and demonstrated the potential of iPSCs as a tool for personalized medicine | [15] |
“Induced pluripotent stem cells as a tool for disease modelling and drug discovery in melanoma” by Castro-Pérez et al., 2019 | Used iPSCs to model melanoma progression and test potential drug therapies | The study highlighted the potential of iPSCs as a platform for drug discovery and personalized medicine in cancer treatment | [732] |
“Patient-derived induced pluripotent stem cells recapitulate hematopoietic abnormalities of juvenile myelomonocytic leukemia” by Kotini et al., 2017 | Generated iPSCs from patients with juvenile myelomonocytic leukemia (JMML) and identified disease-specific abnormalities in hematopoietic differentiation | The study provided insight into the cellular mechanisms underlying JMML and demonstrated the potential of iPSCs for studying rare diseases | [733] |
“Induced pluripotent stem cells from human kidney epithelial cells reprogrammed with OCT4/SOX2/NANOG” by Montserrat et al., 2013 | Generated iPSCs from human kidney epithelial cells and identified genes associated with renal cell carcinoma (RCC) | The study provided insight into the genetic changes that occur during RCC development and identified potential therapeutic targets for the disease | [535] |
“Induced pluripotent stem cells in Huntington's disease: A review” by Chia et al., 2020 | Reviewed the use of iPSCs to model Huntington's disease (HD) and identified potential therapeutic strategies | The study highlighted the potential of iPSCs as a tool for studying neurodegenerative diseases like HD and testing potential therapies | [611] |
“Modeling breast cancer using patient-derived induced pluripotent stem cells to study tumor heterogeneity” by Lefort et al., 2022 | Generated iPSCs from breast cancer patients and observed the heterogeneity of tumor cells in vitro | This study provided valuable insights into the clonal evolution and heterogeneity of breast cancer, contributing to a better understanding of its progression and potential therapeutic targets | [532] |
“Induced pluripotent stem cells as a model for studying the role of oncogenic mutations in lung cancer” by Chen et al., 2017 | Introduced specific oncogenic mutations into iPSCs derived from lung cells and observed their effect on cellular behavior and tumorigenic potential | The study revealed the impact of specific oncogenic mutations in driving lung cancer development and provided a platform for screening targeted therapies | [593] |
“Induced pluripotent stem cell-based modeling of glioblastoma multiforme” by Plummer et al., 2019 | Reprogrammed iPSCs from glioblastoma multiforme (GBM) patients and differentiated them into neural cells to study GBM pathogenesis | The research provided insights into the molecular mechanisms underlying GBM development and allowed for the testing of potential targeted therapies | [125] |
“Using induced pluripotent stem cells to study the role of chromosomal rearrangements in leukemia” by Chao et al., 2017 | Generated iPSCs from leukemia patients with specific chromosomal rearrangements and investigated their impact on leukemogenesis | This study provided valuable information on the role of chromosomal rearrangements in leukemia development and helped identify potential therapeutic targets | [593] |
“Modeling colorectal cancer using patient-derived induced pluripotent stem cells to study tumor initiation and progression” by Crespo et al., 2017 | Generated iPSCs from colorectal cancer patients and observed the initiation and progression of tumors in a controlled environment | This study provided insights into the early events of colorectal cancer development, including tumor initiation and progression, and identified potential therapeutic targets | [556] |
“Induced pluripotent stem cell-based modeling of prostate cancer to study tumor-stromal interactions” by Buskin et al., 2021 | Reprogrammed iPSCs from prostate cancer patients and co-cultured them with stromal cells to investigate tumor-stromal interactions | The research shed light on the complex interplay between tumor cells and the surrounding stromal microenvironment in prostate cancer and identified potential therapeutic strategies | [267] |
“Modeling pancreatic ductal adenocarcinoma using induced pluripotent stem cells to study tumor heterogeneity and therapeutic resistance” by Kim et al., 2013 | Generated iPSCs from pancreatic ductal adenocarcinoma (PDAC) patients and characterized the heterogeneity of PDAC tumors and their responses to therapies | This study enhanced our understanding of the complex nature of PDAC and provided insights into the mechanisms underlying therapeutic resistance in this challenging cancer type | [554] |
“Modeling glioma development using patient-derived induced pluripotent stem cells to study tumor metabolism” by Martinez et al., 2016 | Generated iPSCs from glioma patients and analyzed alterations in tumor metabolism pathways | This study provided insights into the metabolic rewiring occurring in glioma development, offering potential targets for therapeutic intervention | [533] |