A variant of the CTLA-4 gene associated with autoimmune disease was found to be more frequent in non-small cell lung cancer (NSCLC) patients who experienced an exceptionally high response to anti-PD-1 immunotherapy and higher immune-related side effects than in a comparable cohort of lung cancer patients and healthy individuals, according to data presented during the AACR Annual Meeting 2022, held April 8-13.
Inhibitors of the immune checkpoint proteins PD-1/PD-L1 have transformed the cancer treatment landscape. However, there remains large variability in response and unpredictable adverse events, including autoimmune reactions, in NSCLC patients who undergo this treatment. There are currently limited biomarkers to effectively predict this variability, and the extent to which a patient's genetic makeup contributes to response is not well understood."
India Allen, BSc, presenter, Garvan Institute of Medical Research, St Vincent's Medical School, UNSW, Australia
The occurrence of immune-related adverse events (irAEs)-; the side effects that arise in response to activation of the immune system by immunotherapy-; is known to correlate with higher response to anti-PD-1 therapy and improved outcomes in NSCLC patients.
In addition, Allen explained, combined blockade of PD-1 and a second immune checkpoint protein, such as CTLA-4, often results in better treatment outcomes but at the cost of increased irAEs, including autoimmunity.
"This suggests a shared mechanism behind the predisposition that drives autoimmunity and better response to cancer immunotherapy," said Allen. "We hypothesized that patients who exhibit increased response may be harboring genetic mutations within the autoimmune-linked gene CTLA-4, and that these might work to drive better outcomes."
To test this hypothesis, the authors of this study performed whole genome sequencing on germline DNA from 35 NSCLC patients exhibiting exceptional response to anti-PD-1 therapy, defined as progression-free survival of at least two years and one or more irAEs of grade 2 or higher. In these patients, the frequency of certain single nucleotide polymorphisms (SNPs) in the genetic region encompassing the CTLA-4 gene was analyzed and compared to that in patients with lung cancer within the publicly accessible Pan-Cancer Analysis of Whole Genomes (PCAWG) cohort and to cancer- and dementia-free elderly individuals included in the Medical Genome Reference Bank (MGRB).
Allen and colleagues identified several SNPs that were more frequent within the exceptional responders compared with the other two cohorts. In particular, one SNP was present in 15.7 percent of exceptional responders and was two times more frequent than in patients within the PCAWG cohort and almost four times more frequent than those in the MGRB cohort.
"This SNP has been reported to impact the function of the CTLA-4 immune checkpoint protein to drive increased susceptibility to autoimmune disease, such as type 1 diabetes and rheumatoid arthritis," commented Allen. "The enrichment of this variant in our cohort suggests a mechanism by which it could
be conferring increased response to treatment. As such, this CTLA-4 variant could be used to identify patients that would benefit from anti-PD-1 treatment."
According to Allen, the identification of this genetic variant through genomic sequencing could be used alongside existing biomarkers to help select NSCLC patients who may experience better response to anti-PD1/PD-L1 checkpoint therapy and those at risk of more severe autoimmune side effects.
The authors are currently expanding the search for genetic response biomarkers to other autoimmune-linked genes, including neighboring genes of CTLA-4 such as CD28 and ICOS.
"Further analysis into the immunological impact of such genetic variants could also help us better understand the mechanisms underlying current variability in response and why some patients develop more severe autoimmune side effects following immune checkpoint therapy," said Allen. "Understanding the mechanisms of response to these drugs is paramount to broadening their potential clinical benefit."
One important limitation of this study was the lack of direct comparison with nonresponders, who are currently being recruited and undergoing sequencing for future analysis. In addition, as noted by Allen, the costs associated with whole genome sequencing and the rarity of patients with exceptional immunotherapy response greatly limited the sample size. Other limitations include the differences in patient demographics, including sex, age, and smoking status, and differences in the recruitment process between the exceptional responders cohort and the comparison cohorts (MGRB and PCAWG), although these differences were taken into consideration in the comparisons.
This study was funded by Bioplatforms Australia, The Kinghorn Foundation, and The Garvan Institute. The authors declare no conflicts of interest.
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