Introduction: In the last decade, there has been a «breakthrough» development of scientific approaches to the assay of genomic and immune factors underlying anti-cancer treatment efficiency. The choice of antitumor therapy in practice is increasingly determined by molecular signatures, and not only by the specificity of organ tumor originated from (or by the histological properties of the tumor). An urgent and important scientific and practical task is to study the successful experience of organizing Centers for Personalized Cancer Treatment (CPCT).
Aim: analysis of the 10-year experience of the Clinical Center for Personalized Cancer Treatment in the Netherlands.
Materials And Methods: Data were extracted from the internet databases using keywords: personalized cancer therapy / treatment, cancer, targeted therapy etc.Results. The Center's research project collects data on patients with metastatic cancer who are eligible for anticancer treatment as part of standard practice. The system accumulates various information about tumor DNA, mutations and abnormalities in DNA, treatment results (outcomes), as well as other important clinical characteristics, including individual tumor process. Registered parameters are stored in a digital database and are available for scientific research.
Discussion And Conclusions: CPCT consider the possibilities for the more in-depth genomic analysis of patient DNA (including non-tumor DNA) in the future in order to improve the medical decision making regarding early diagnosis and personalized choice of anticancer therapies. Rapid progress will lead to the emergence of more advanced methods for re-evaluating biological samples accumulated in biobanks, that will facilitate the understanding the pillars of personalized anti-cancer treatment approaches as well as create an additional bases for the new drug development.
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http://dx.doi.org/10.32687/0869-866X-2022-30-s1-961-965 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
J Med Internet Res
January 2025
School of Nursing, Anhui Medical University, Hefei, China.
Background: Body image issues are prevalent among individuals diagnosed with cancer, leading to detrimental effects on their physical and psychological recovery. eHealth has emerged as a promising approach for enhancing the body image of patients with cancer.
Objective: The purpose of this study was to evaluate the effectiveness of eHealth interventions on body image and other health outcomes (quality of life, physical symptoms, and emotional distress) among patients with cancer.
J Med Internet Res
January 2025
Department of Pediatrics, Medical School, University of Michigan, Ann Arbor, MI, United States.
Background: The mental health crisis among college students intensified amid the COVID-19 pandemic, suggesting an urgent need for innovative solutions to support them. Previous efforts to address mental health concerns have been constrained, often due to the underuse or shortage of services. Mobile health (mHealth) technology holds significant potential for providing resilience-building support and enhancing access to mental health care.
View Article and Find Full Text PDFNoise Health
January 2025
Department of Geriatric Health Internal Medicine, Qingdao Municipal Hospital, Qingdao 266000, China.
Objective: Evaluate the effect of white noise intervention on sleep quality and immunological indicators of patients with breast cancer undergoing neoadjuvant chemotherapy (NAC).
Methods: From January 2020 to December 2022, 104 newly diagnosed female patients (the number of people who met the inclusion criteria) with breast cancer who were confirmed to be preoperative NAC by puncture pathology were selected for a randomised single-blind trial. The patients were randomly divided into an observation group and a control group, with 52 cases in each group.
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