Due to significant variability among tumors and diversity in human immune types, developing immunotherapies for cancer is challenging.
In a study published online in Genome Research, researchers examined the largest collection of tumor samples to date to predict patient-specific tumor mutations that may activate the patient's immune system, paving the way for more successful, personalized cancer immunotherapy.
Tumor cells accrue mutations in their DNA, and as these mutations accumulate, the cell looks less and less like part of the body and more like a foreign invader to the immune system. Cancer patients with stronger anti-tumor immune responses, mediated by T cells, are more likely to live longer. Much research has focused on strategies to harness the immune system to fight cancer; however, it has been difficult to determine the tumor mutations that activate a patient's T cells because the mutations occur sporadically, and successful activation depends on the patient's immune type (specifically, their HLA type), which varies considerably from person to person.
This study highlights the "personalized nature of the tumor-immune interaction" said the lead author of the study, Robert Holt. "Cancer immunotherapy is most likely to be successful if it is personalized, that is, targeted to each individual patient's immune type and mutation profile." With the decreasing cost of DNA sequencing, "it is now feasible to map these mutational profiles and design individual vaccines in relatively short order," Holt said.
Furthermore, the study demonstrates that tumors harboring large numbers of mutations are more likely to benefit from cancer immunotherapy, because they are more likely to have mutations that make the tumor susceptible to the immune system.
Holt added, "these results also support an entirely new approach to immunotherapy: creating personalized cancer vaccines that use tumor-specific immunogenic mutations to enhance anti-tumor immunity." The team is now looking to apply this strategy in combination with conventional cancer therapies.
The data in this study was generated by The Cancer Genome Atlas (TCGA), a comprehensive resource of genomic information from a large number of patient samples, funded by the U.S. National Institutes of Health.