collagen, type II, alpha 1 (primary osteoarthritis, spondyloepiphyseal dysplasia, congenital) arthroophthalmopathy, progressive (Stickler syndrome) (COL2A1) : Machine learning discoveries of 2nd order synergy in Meningiomas

Background : COL2A1 provides instructions for the production of the pro-alpha1(II) chain of type II collagen. Type II collagen forms the basis for hyaline cartilage, including the articular cartilages at joint surfaces. It is implicated in Stickler syndrome, type II achondrogenesis-hypochondrogenesis, Spondyloepiphyseal dysplasias, osteoarthritis, chondrodysplasia, Kniest dysplasia, avascular necrosis of the femoral head and chondrosarcoma. However, its role in meningiomas has not yet been determined completely. Meningiomas are the most common intracranial primary neoplasm in adults. Patel et al. [1] analyzed 160 tumors from all 3 World Health Organization (WHO) grades (I through III) using clinical, gene expression, and sequencing data and using unsupervised clustering analysis identified 3 molecular types (A, B, and C) that reliably predicted recurrence. Further, these groups did not directly correlate with the WHO grading system, which classifies more than half of the tumors in the most ag- gressive molecular type as benign. Issue : Increasing evidence point to the fact that meningioma classification and grading, that is based on histopathology does not always accurately predict tumor aggressiveness and recurrence behaviour and knowledge of the underlying biology of the treatment resistant meningiomas and the impact of genetic alterations in these tumors, is lacking. At the current stage more genomic studies are required to unravel the role of other genes and their interations with other genetic factors. Resolution : In a recently published work Sinha [2], a frame work of a search engine was developed which can rank combinations of factors (genes/proteins) in a signaling pathway. Adapting this search engine to the Meningioma dataset, i present here 2nd order combinations of COL2A1, some of which have been known to exist via wet lab experiments, but many are yet to be tested. The reveals combinations might help oncologists/biologists test possible hypotheses that might be the causing factors in meningioma. Further, in my limited grasp, if proven true, the combinations revealed by the search engine might pave way for development of gene based therapies aimed at resolving pathological issues related to meningiomas.