Matheus Correia Casotti, Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, Camilly Victória Campanharo, Danielle Ribeiro Campos da Silva, Giulia Maria Giacinti, Iris Moreira da Silva, João Augusto Diniz Moura, Karen Ruth Michio Barbosa, Lorena Souza Castro Altoé, Lorena Souza Rittberg Mauricio, Luíza Santa Brígida de Barros Góes, Lyvia Neves Rebello Alves, Sarah Sophia Guedes Linhares, Vinícius do Prado Ventorim, Yasmin Moreto Guaitolini, Eldamária de Vargas Wolfgramm Dos Santos, Flavia Imbroisi Valle Errera, Sonia Groisman, Elizeu Fagundes de Carvalho, Flavia de Paula, Marcelo Victor Pires de Sousa, Pierre Basílio Almeida Fechine, Iuri Drumond Louro
{"title":"Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy.","authors":"Matheus Correia Casotti, Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, Camilly Victória Campanharo, Danielle Ribeiro Campos da Silva, Giulia Maria Giacinti, Iris Moreira da Silva, João Augusto Diniz Moura, Karen Ruth Michio Barbosa, Lorena Souza Castro Altoé, Lorena Souza Rittberg Mauricio, Luíza Santa Brígida de Barros Góes, Lyvia Neves Rebello Alves, Sarah Sophia Guedes Linhares, Vinícius do Prado Ventorim, Yasmin Moreto Guaitolini, Eldamária de Vargas Wolfgramm Dos Santos, Flavia Imbroisi Valle Errera, Sonia Groisman, Elizeu Fagundes de Carvalho, Flavia de Paula, Marcelo Victor Pires de Sousa, Pierre Basílio Almeida Fechine, Iuri Drumond Louro","doi":"10.3389/fonc.2024.1419599","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer therapy is facing increasingly significant challenges, marked by a wide range of techniques and research efforts centered around somatic mutations, precision oncology, and the vast amount of big data. Despite this abundance of information, the quest to cure cancer often seems more elusive, with the \"war on cancer\" yet to deliver a definitive victory. A particularly pressing issue is the development of tumor treatment resistance, highlighting the urgent need for innovative approaches. Evolutionary, Quantum Biology and System Biology offer a promising framework for advancing experimental cancer research. By integrating theoretical studies, translational methods, and flexible multidisciplinary clinical research, there's potential to enhance current treatment strategies and improve outcomes for cancer patients. Establishing stronger links between evolutionary, quantum, entropy and chaos principles and oncology could lead to more effective treatments that leverage an understanding of the tumor's evolutionary dynamics, paving the way for novel methods to control and mitigate cancer. Achieving these objectives necessitates a commitment to multidisciplinary and interprofessional collaboration at the heart of both research and clinical endeavors in oncology. This entails dismantling silos between disciplines, encouraging open communication and data sharing, and integrating diverse viewpoints and expertise from the outset of research projects. Being receptive to new scientific discoveries and responsive to how patients react to treatments is also crucial. Such strategies are key to keeping the field of oncology at the forefront of effective cancer management, ensuring patients receive the most personalized and effective care. Ultimately, this approach aims to push the boundaries of cancer understanding, treating it as a manageable chronic condition, aiming to extend life expectancy and enhance patient quality of life.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367711/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fonc.2024.1419599","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer therapy is facing increasingly significant challenges, marked by a wide range of techniques and research efforts centered around somatic mutations, precision oncology, and the vast amount of big data. Despite this abundance of information, the quest to cure cancer often seems more elusive, with the "war on cancer" yet to deliver a definitive victory. A particularly pressing issue is the development of tumor treatment resistance, highlighting the urgent need for innovative approaches. Evolutionary, Quantum Biology and System Biology offer a promising framework for advancing experimental cancer research. By integrating theoretical studies, translational methods, and flexible multidisciplinary clinical research, there's potential to enhance current treatment strategies and improve outcomes for cancer patients. Establishing stronger links between evolutionary, quantum, entropy and chaos principles and oncology could lead to more effective treatments that leverage an understanding of the tumor's evolutionary dynamics, paving the way for novel methods to control and mitigate cancer. Achieving these objectives necessitates a commitment to multidisciplinary and interprofessional collaboration at the heart of both research and clinical endeavors in oncology. This entails dismantling silos between disciplines, encouraging open communication and data sharing, and integrating diverse viewpoints and expertise from the outset of research projects. Being receptive to new scientific discoveries and responsive to how patients react to treatments is also crucial. Such strategies are key to keeping the field of oncology at the forefront of effective cancer management, ensuring patients receive the most personalized and effective care. Ultimately, this approach aims to push the boundaries of cancer understanding, treating it as a manageable chronic condition, aiming to extend life expectancy and enhance patient quality of life.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.