Good news! Amazing stuff! Cancer is history (soon)! However, these are machine learning results.
"... By using a digital model of the gene network of normal cell development, they found several molecules known as "master regulators" that are involved in the differentiation process of the cells lining the intestinal walls. These regulators are known as MYB, HDAC2, and FOXA2 and when they were suppressed in colon cancer cells, the cells switched back to a normal-like state, removing the cancer threat without destroying any cellular material.
The tests were carried out digitally, through molecular experiments, and in mice. .."
From the abstract:
"Cellular differentiation is controlled by intricate layers of gene regulation, involving the modulation of gene expression by various transcriptional regulators. Due to the complexity of gene regulation, identifying master regulators across the differentiation trajectory has been a longstanding challenge. To tackle this problem, a computational framework, single-cell Boolean network inference and control (BENEIN), is presented. Applying BENEIN to human large intestinal single-cell transcriptome data, MYB, HDAC2, and FOXA2 are identified as the master regulators whose inhibition induces enterocyte differentiation. It is found that simultaneous knockdown of these master regulators can revert colorectal cancer cells into normal-like enterocytes by synergistically inducing differentiation and suppressing malignancy, which is validated by in vitro and in vivo experiments."
KAIST Develops Foundational Technology to Revert Cancer Cells to Normal Cells (original news release)
Fig 1: Schematic diagram of BENEIN for reconstruction of Boolean GRN from single-cell transcriptome data and identification of master regulators for cancer reversion.
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