Personalized evolutionary hypothesis in genomics and auxiliary lymph node through diverse subtelomeric signal profile.

Abstract

Few available data on the genomic-somatic evolution in breast cancer create limitation to provide the appropriate clinical managements. As an example, human subtelomeres (ST) are diverse-prone and variable targets. STs, as hot spots, have positive and negative impacts on the status of health and malady. We showed higher subtelomere signal copy number (SCN) of specific chromosomes in genomics than in auxiliary lymph node (ALN). Dissimilarity of signal intensity (SI) is found for all chromosomes. Significantly higher SI in genomics than in ALN cells were specified as chromosomes 5, 6, 9-12, 16-19 for weak; 1, 5-9, 19, X for medium; and 2, 5, 9, 10, 16, 18 for strong SI. For lacking, and presence of one and two SCNs; p/q ratio reflected differences for all chromosomes; but, 2, 3, 5, 7, 8, 10, 16, 18, 20, and X chromosomes were involved for three SCN. Chromosomes 1, 4, 9, 12, 17-19 lacked three SCN in ALN and lymphocytes. Weak SI ratio was higher in p- than in q-arm in majority of chromosomes. Manner of evolution and diversity in p- and q-arms is expressive of a novel definition as two diverse domains with a personalized insight. These data have been accompanied by periodic charts as ST array profiles which provide specific and individualized pattern in breast neoplasm. Such profiling at genomics level could be considered as a prediction through the patients' life. Moreover, subtelomere territory by interacting with protein expression of Ki67, cyclin D1, and cyclin E; and molecular targets including telomere length at genomics and somatic level provides package of information to bridge cancer cell biology to the cancer clinic as "puzzling paradigm."