Cancer Cell Research

Cancer Cell Research (ISSN 2161-2609) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Cancer Cell Research publishes highly significant studies in a broad range of cancer research. Molecular and cellular mechanisms of fundamental cancer biology, such as apoptosis, cell cycle/checkpoint regulation, the genetics and epigenetics of tumorigenesis, angiogenesis and lymphangiogenesis, invasion, metastasis, and host immune responses to cancer. Cancer therapeutics research, including the elucidation of mechanisms for the sensitivity and the resistance to current cancer therapies, identification of new therapeutic targets, and development of new cancer therapies. Clinical investigations that lead to major advance in treating cancer patients or provide significant new insight for cancer biology that have not been revealed by pre-clinical studies. Development and analysis of tumor models that enhance our understanding of human tumor development and/or that improve preclinical testing of diagnostic, treatment and prevention strategies for cancer patients.
    Online ISSN: 2161-2609     About Open Access Journals

Vol. 11

NO.41 2024

Vol. 11

NO.42 2024

Vol. 11

NO.43 2024

Vol. 11

NO.44 2024
Article
Advances in glioma ecDNA research
Cancercellresearch 2023, 9(36), 897-902; - 25 Mar. 2023
Abstract
: Glioma is the most common primary tumor of the central nervous system and the tumor genetics of glioma has been a hot topic. In recent years, the role of ecDNA in tumors, especially glioma, has been gradually recognized. [...] Read more.
: Glioma is the most common primary tumor of the central nervous system and the tumor genetics of glioma has been a hot topic. In recent years, the role of ecDNA in tumors, especially glioma, has been gradually recognized. ecDNA can accelerate tumor evolution and mediate glioma drug resistance activity by randomly distributing in the interphase due to the lack of mitotic structure. The circle structure of ecDNA also has the characteristics of high openness, strong transcriptional activity and diverse regulatory modes. The study of glioma ecDNA has gone through three stages: classical karyotype analysis, basic function study and regulatory molecular mechanism study. In the era of karyotype analysis, early studies focused mostly on the description of cell karyotypes, but later merged with research on oncogenes. In the era of functional study of ecDNA, not only have many oncogenes located on ecDNA had been discovered, but also the mechanism of ecDNA involvement in glioma drug resistance had been revealed. In the past five years, the finer molecular regulatory mechanisms have become essential in further revealing the unique functions of ecDNA, mainly due to the advancement of biology experiments research tools and bioinformatics technologies. Full article
(This article belongs to the Section Cancer cell Research)
Article
Research Progress of TMB in Predicting Prognosis and Efficacy of Lung Cancer
by , .
Cancercellresearch 2023, 9(36), 891-896; -28 Feb. 2023
Abstract
: Immune checkpoint inhibitors (ICIs) have changed therapeutic paradigms for patients across multiple cancer types and play an important role. However, due to the complexity and individual differences in immunotherapy, not all patients benefit from immunotherapy. New insights into the role of tumor mutational burden (TMB) suggest that their composition, as well as their functionality, might serve as a biomarker to enable optimal patient selection for current systemic therapies and upcoming treatment options. [...] Read more.
: Immune checkpoint inhibitors (ICIs) have changed therapeutic paradigms for patients across multiple cancer types and play an important role. However, due to the complexity and individual differences in immunotherapy, not all patients benefit from immunotherapy. New insights into the role of tumor mutational burden (TMB) suggest that their composition, as well as their functionality, might serve as a biomarker to enable optimal patient selection for current systemic therapies and upcoming treatment options. In this paper, we will review TMB as a biomarker for immunotherapy, assess the efficacy of immunotherapy, present several combinations of biomarkers to improve treatment prediction, and further evaluate the limitations of TMB as a biomarker of immunotherapy for lung cancer. Full article
(This article belongs to the Section cancercellresearch)
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