Review
Health Care Sciences & Services
Masahiro Shiihara, Toru Furukawa
Summary: Cell models play a crucial role in the research and development of cancer therapies. Recent advances in patient-derived cancer organoids have provided a valuable platform for studying cancer biology and personalized medicine, particularly in the field of pancreatobiliary cancer.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Health Care Sciences & Services
Mohammad Raad, William Omar Contreras Lopez, Alireza Sharafshah, Marjan Assefi, Kai-Uwe Lewandrowski
Summary: This study systematically reviewed the latest research progress in cancer pain management, highlighting personalized medicine as one of the most promising strategies. By utilizing genomic and pharmacokinetic approaches, genes and variants associated with cancer pain can be identified, providing guidance for clinical personalized treatment.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Oncology
Zhichao Li, Haibo Xu, Lei Yu, Jia Wang, Qian Meng, Hongbing Mei, Zhiming Cai, Wei Chen, Weiren Huang
Summary: This research established an effective three-dimensional culture system for generating kidney cancer organoids and successfully generated 33 organoid lines from different subtypes of kidney cancer. These organoids preserved the histological architecture, mutational landscape, and transcriptional profile of the parental tumor tissues, and revealed inter- and intra-tumoral heterogeneity. Additionally, the organoids can be used for drug screening and evaluating the efficacy of immunotherapy.
CLINICAL AND TRANSLATIONAL MEDICINE
(2022)
Review
Health Care Sciences & Services
Takumi Kiwaki, Hiroaki Kataoka
Summary: Three-dimensional culture methods and patient-derived organoids play a crucial role in the study of colorectal cancer, aiding in predicting patient sensitivity to chemotherapy and radiotherapy and guiding precision medicine.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Engineering, Chemical
Alexandra Elena Lazar, Leonard Azamfirei
Summary: Personalized Medicine (PM) is rapidly advancing in everyday medical practice, particularly in the treatment of critically ill patients. The integration of basic research and complex mathematical models allows for the processing of biodata and the extraction of specific information for individualized treatment. However, there are challenges associated with PM in intensive care, such as economic, approval, and ethical issues.
Review
Health Care Sciences & Services
Antonio Giulio de Belvis, Rossella Pellegrino, Carolina Castagna, Alisha Morsella, Roberta Pastorino, Stefania Boccia
Summary: Breast Cancer is the leading cause of cancer death in women, and implementing personalized treatment and patient-centered care models is crucial for effective management. Success factors include clearly defined roles, appropriate training, and communication strategies, while barriers mainly involve delays in genetic testing and lack of public reimbursement schemes.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Biochemical Research Methods
Hengqiang Zhao, Shanshan Gu, Siqi Bao, Congcong Yan, Zicheng Zhang, Ping Hou, Meng Zhou, Jie Sun
Summary: Accurate prognosis assessment for cancer patients is crucial for clinical decision-making. The proposed patient-level computational framework, PLPPS, composed of 68 immune genes, showed accurate prognostic risk stratification for high-grade serous ovarian carcinoma patients across multiple cohorts. PLPPS outperformed other gene signatures in prognostic ability, making it a promising genomic tool for personalized management of HGSOC in clinical practice.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Engineering, Biomedical
Jonghyeuk Han, Seunggyu Jeon, Min Kyeong Kim, Wonwoo Jeong, James J. Yoo, Hyun-Wook Kang
Summary: This study developed a novel bioprinting technique to create an in vitro breast cancer model with patient-specific morphological features. The model accurately mimicked the cellular microstructures of heterogeneous cancer tissues and produced drug responses similar to human cancers.
Review
Oncology
Ryan Zitter, Rishi Man Chugh, Subhrajit Saha
Summary: This review article highlights the gaps in the current system of drug development and personalized medicine for cancer therapy and proposes the use of patient-derived organoid (PDO) and organ-in-chip (OIC) models as key components for preclinical and translational studies. Incorporating PDOs and OICs into the development of cancer therapy promises to increase the efficiency of therapeutics by addressing the challenges of patient variability.
Article
Oncology
Jiayu Chen, Ying Jin, Siyi Li, Cui Qiao, Xinxin Peng, Yan Li, Yu Gu, Wei Wang, Yan You, Jie Yin, Ying Shan, Yong-Xue Wang, Meng Qin, Hongyue Li, Yan Cai, Yu Dong, Siying Peng, Lingya Pan
Summary: This study successfully generated robust patient-derived xenograft (PDX) models for epithelial ovarian cancer, showing similarities in histomorphology, protein expression, and certain genetic alterations between original tumors and PDX tumors. The PDX models demonstrated a high degree of similarity with patients in terms of chemotherapy response and prognosis prediction, highlighting their potential as a promising and reliable preclinical tool for personalized and precise treatment.
FRONTIERS IN ONCOLOGY
(2021)
Review
Oncology
Kazuma Kiyotani, Yujiro Toyoshima, Yusuke Nakamura
Summary: The significant advances in cancer genomics have allowed for precision medicine based on genomic and molecular profiling, but clinical application still faces challenges. Cancer immunotherapies, particularly targeting neoantigens derived from somatic mutations, offer potential for precise treatment based on genomic sequencing results.
CANCER BIOLOGY & MEDICINE
(2021)
Review
Oncology
Miao Su, Zhe Zhang, Li Zhou, Chao Han, Canhua Huang, Edouard C. Nice
Summary: Cancer is a major global public health issue and personalized/precision medicine plays a crucial role in its diagnosis and treatment. Research focuses on cancer biomarkers, the impact of the microbiome, the application of emerging omics technologies, and future prospects.
Review
Oncology
Magdalena Gaca-Tabaszewska, Joanna Bogusiewicz, Barbara Bojko
Summary: Gliomas are difficult to diagnose and treat, and personalized medicine along with metabolomics and lipidomics analysis offer promising new treatment approaches.
Review
Oncology
Yuenan Wang, Ye Li, Zonghai Sheng, Weiwei Deng, Hongyan Yuan, Shubin Wang, Yajie Liu
Summary: Patient-derived organoids (PDO) technology provides more relevant cancer models for developing and optimizing therapeutic strategies, especially in combining radiotherapy with other treatments and studying radiation dose escalation. This review introduces the recent advances in PDO technology and personalized radiotherapy, and examines its applications in radiation therapy.
FRONTIERS IN ONCOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Stanislaw Supplitt, Pawel Karpinski, Maria Sasiadek, Izabela Laczmanska
Summary: Transcriptome profiling has emerged as a powerful approach in oncology, providing prognostic and predictive utility for cancer management. It enables the identification of cancer biomarkers, gene signatures, and molecular targets for anticancer therapies, contributing to a change in the holistic understanding of cancer from histopathological to molecular classifications. Further advancements in transcriptome profiling may lead to standardization and cost reduction of its analysis, making it a canon of contemporary cancer medicine.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)