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These studies suggest there are multiple ways to classify cancer, with some identifying 10 to 12 major types and others focusing on specific subtypes within broader categories.
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Cancer is a complex and heterogeneous group of diseases characterized by uncontrolled cell growth and proliferation. According to recent studies, there are more than 277 different types of cancer, each with unique genetic and molecular profiles. This diversity is driven by various genetic mutations and environmental factors that influence cancer development and progression.
Recent advancements in genomic and proteomic analyses have led to the identification of multiple cancer subtypes within and across different tissues of origin. For instance, a comprehensive study involving 3,527 specimens from 12 cancer types revealed 11 major molecular subtypes, some of which are shared across different tissues. Similarly, proteomic profiling of over 500 human cancers identified ten proteome-based subtypes that cut across traditional tumor lineages, highlighting the complexity and interconnectivity of cancer types.
Breast cancer alone has been classified into ten distinct types, each associated with different prognoses and treatment responses. This classification is based on genetic mutations, RNA expression levels, and protein markers such as estrogen receptor (ER), progesterone receptor (PR), and HER2. These subtypes help in personalizing treatment and improving patient outcomes.
Integrative molecular analyses of large datasets, such as those from The Cancer Genome Atlas (TCGA), have provided insights into the commonalities and differences among various cancer types. For example, a study involving 10,000 tumors from 33 cancer types emphasized the dominant role of cell-of-origin patterns in cancer classification. Another study classified 10,224 cancers into ten molecular-based classes, revealing key differences in mRNA, miRNA, protein expression, and DNA methylation across cancer types.
The evolutionary history of cancer, reconstructed through whole-genome sequencing of 2,658 cancers, has shown that driver mutations often precede diagnosis by many years. This highlights the potential for early detection and intervention . The study also identified specific genomic aberrations and mutational processes that characterize different stages of cancer evolution.
Gastrointestinal (GI) cancers, including esophageal, stomach, colorectal, liver, and pancreatic cancers, account for a significant portion of the global cancer burden. In 2018, there were an estimated 4.8 million new cases and 3.4 million related deaths worldwide. The incidence and mortality rates of these cancers vary geographically, with certain types being more prevalent in specific regions.
The Cancer Genome Atlas (TCGA) has identified 127 significantly mutated genes across 12 major cancer types. These genes are involved in various cellular processes such as signaling pathways, cell cycle control, and DNA repair. The number of driver mutations required for oncogenesis varies across tumor types, with most tumors having two to six significant mutations.
The classification and understanding of cancer types have evolved significantly with advancements in genomic and proteomic technologies. The identification of molecular subtypes and the integration of large-scale data have provided deeper insights into the complexity of cancer. This knowledge is crucial for developing targeted therapies and improving patient outcomes. As research continues, the classification of cancer types will likely become even more refined, leading to more personalized and effective treatment strategies.
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