The international study “Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures”, recently published in the scientific journal Nature Communications, has taken a further step in the development of new therapeutic strategies to treat lung cancer.
This study, the result of more than three years of research, was conducted at the Moffitt Cancer Center in Tampa (Florida, USA) and makes progress toward the evolution of resistance to different tumour inhibitors.
“Although the use of specific inhibitors targeted against a tumour often induces good clinical results at initial stages, certain cell populations might not be completely eliminated, acquiring resistance to treatments and developing relapse as tumour recurs”, explains Diego Lozano, researcher of the Supercomputing and Bioinnovation Center (SCBI) of the University of Malaga (UMA) and one of the authors of this study.
Resistance to tumour inhibitors
Using an in vitro model of isolated ALK positive cells of a specific type of lung cancer, namely, non-small or non-microcytic cell lung cancer, researchers explored the evolution of resistance to different clinical ALK inhibitors.
“We demonstrated that the acquisition of resistance to tumour inhibitors not only arises from the pre-existence of cell subpopulations in mutations that enable tumours to survive drugs, or due to emergence of point mutations that confer such resistance, but from a gradual and predictable adaptation to the selective pressures of the different ALK inhibitors, at the genetic and epigenetic level”, says the researcher of the UMA.
Opportunity for more effective therapies
Lozano explains that during the evolution of drug resistance, intermediate cell populations present collateral sensitivity to other inhibitors, thus providing a temporarily opportunity to apply effective therapies.
“The findings of this study could be transferred to other similar scenarios, where tumours also acquire therapy resistance”, clarifies Lozano, who guarantees that by understanding the evolutionary mechanisms and trajectories of drug resistance in tumour cells, evolutionary-informed therapies could be designed.
Source: University of Malaga