Cells are state machines, more or less, their behavior largely driven by the specific pattern of gene expression they adopt. With age other factors can enter play, such as the presence of molecular waste (lipofuscin and so forth) that is very hard for cells to break down or eject, and changes in the exterior environment that produce corresponding reactions within the cell, including cross-linking of the extracellular matrix, inflammatory signaling, and the like. Even so, the potential offered by any means of reliably controlling gene expression is the ability to selectively reset the behavior of cells, to override their unfortunate reactions to the aged environment, and to restore behaviors that result in improved tissue function. Control of cell behavior implies a sizable degree of control over disease, dysfunction, aging.
Much of the cell reprogramming space is focused on treatment of aging, reversing at least some of the characteristic age-related changes in gene expression that alter cell function for the worse. Much of that work centers around application of the Yamanaka factors that are involved in transforming adult germline cells into embryonic stem cells in early embryogenesis. But this is just one form of reprogramming. There are many others. Why not, for example, reprogram a cancerous cell to stop being a cancerous cell? That is the topic of today's research materials, narrowly focused on colon cancer as a first application of a platform for discovering ways to revert specific cancerous changes in specific tissues. This line of work is now under development at a new biotech company, Biorevert.
A Molecular Switch that Reverses Cancerous Transformation at the Critical Moment of Transition
A research team has succeeded in developing a fundamental technology to capture the critical transition phenomenon at the moment when normal cells change into cancer cells and analyze it to discover a molecular switch that can revert cancer cells back into normal cells. A critical transition is a phenomenon in which a sudden change in state occurs at a specific point in time. The research team discovered that normal cells can enter an unstable critical transition state where normal cells and cancer cells coexist just before they change into cancer cells during tumorigenesis, the production or development of tumors, and analyzed this critical transition state using a systems biology method to develop a cancer reversal molecular switch identification technology that can reverse the cancerization process. They then applied this to colon cancer cells and confirmed through molecular cell experiments that cancer cells can recover the characteristics of normal cells.
This is an original technology that automatically infers a computer model of the genetic network that controls the critical transition of cancer development from single-cell RNA sequencing data, and systematically finds molecular switches for cancer reversion by simulation analysis. Among the common target genes of the discovered transcription factor combinations, researchers identified cancer reversing molecular switches that were predicted to suppress cancer cell proliferation and restore the characteristics of normal colon cells. When inhibitors for the molecular switches were provided to organoids derived from colon cancer patients, it was confirmed that cancer cell proliferation was suppressed and the expression of key genes related to cancer development was inhibited, and a group of genes related to normal colon epithelium was activated and transformed into a state similar to normal colon cells.
Attractor Landscape Analysis Reveals a Reversion Switch in the Transition of Colorectal Tumorigenesis
Cell fate changes often involve abrupt transition, called "critical transition," at key points, superimposed on a background of more gradual changes. In particular, it has been well known that tumorigenesis incurs such critical transition. So, questions arise as to what the core molecular regulatory network underlying the critical transition is and whether we can reverse it by controlling a master regulator of the core network.
A number of intriguing studies have been followed to the present reporting the possibility of reverting cancer cell states to phenotypically healthy cell states under various experimental settings. However, these approaches often relied on trial-and-error experiments or comparative analyses mostly that focus on static network properties, limiting their ability to capture dynamic transitions.
Here a systems framework, REVERT, is presented with which can reconstruct the core molecular regulatory network model and a reversion switch based on single-cell transcriptome data over the transition process is identified. The usefulness of REVERT is demonstrated by applying it to single-cell transcriptome of patient-derived matched organoids of colon cancer and normal colon. REVERT is a generic framework that can be applied to investigate various cell fate transition phenomena.