The association of ROS1 mutation with cancer immunity and its impact on the efficacy of pan-cancer immunotherapy

clinical

of ROS1 mutation and its association with pan-cancer immunotherapy (Suppl.Method).
To investigate the underlying mechanisms between cancer immunotherapy and ROS1 mutation, multi-omics To the editor, In the past decade, immunotherapy has revolutionized cancer treatment.However, it is still difficult to determine which patients should be offered immune checkpoint inhibitors (ICIs) currently [1].Mutations of ROS1 play important roles in cell activation, differentiation, proliferation and survival [2], which may affect the tumor immunogenicity.Indeed, evidences from both in vivo and in vitro studies revealed ROS1 could regulate the expression of PD-L1 and participate in immune escape through the activation of ROS1-SHP2-and MEK-ERK-signaling pathways in lung cancer [2].In melanoma, ROS1 mutation was associated with an enrichment of DNA-damage-response-related processes and DNA-repair-related molecules [3], which might lead to the enhanced immune surveillance.Here, we conducted a comprehensive bioinformatic and clinical analysis to study the characteristics  I-J) Based on the optimal cutoff value derived from nomogram, low-score was associated with favorable OS in both discovery cohort (I) and validation cohort (J).CI, confidence interval; CR, complete response; HR, hazard ratio; ICI, immune checkpoint inhibitor; ORR, objective response rate; OS, overall survival; PD, progressive disease; PR, partial response; SD, stable disease information extracted from The Cancer Genome Atlas (TCGA) were explored.Totally, 460 of 10,953 patients (4.20%) harbored ROS1 mutations (Figure S1A).Of all the identified 665 mutations, 81.35% were missense, 12.78% were truncating, 4.21% were spice, and 1.65% were fusion mutations.These mutations occurred in a dispersed manner throughout the whole sequence (Figure S1B).Further analysis revealed ROS1 mutations were independent of disease-free survival, disease-specific survival, progression-free survival, and OS (Figure S1C).
We compared the key intrinsic immune features in ROS1-mutant and ROS1-non-mutant tumors.The mutation loads including tumor mutation burden (TMB), silent mutation rate, and non-silent mutation rate were significantly upregulated in ROS1-mutant tumors (Fig. 2A).Next, we examined the association between mutant signatures and OS in ROS1-mutant patients (Figure S2).The frequencies of SBS7a, SBS10b, SBS16, and SBS32 were significantly different between ROS1-mutant and ROS1-non-mutant tumors.These SBSs were further identified as robust biomarkers for OS in pan-cancer immunotherapy.Additionally, the expression levels of PD-1, PD-L1 and CTLA-4 were significantly higher in ROS1-mutant tumors (Fig. 2B).ROS1 mutation was associated with increased MHC-related antigen-presenting molecules and co-stimulators (Fig. 2G).
The major extrinsic immune characteristics were also examined here.ROS1 mutation was associated with higher levels of immune cell infiltration based on lymphocytes fraction, leukocyte fractions, and tumor-infiltrating lymphocyte fraction (Fig. 2C).Mutations may induce potential tumor-associated neoantigens, which are recognized by T cells with T cell receptors (TCRs) or B cells with B cell receptors (BCRs).The abundances of SNV/Indel neoantigens and the diversity of TCR/ BCR were significantly upregulated in ROS1-mutant tumors (Fig. 2D).ssGSEA presented 29 key immune pathways, cells, and functions [4].The cancer immunity cycle reflected the functions of immunomodulators and chemokines by estimate cancer antigen presentation, the release of antigens, priming and activation, immune cell recruitment and infiltration, recognition and killing of tumor cells [5].As shown in Fig. 2E and Fig. 2F, the immune cell populations and immune activities were clearly enriched in ROS1-mutant tumors.Of note, the abundances of CD8 + T cells, which were critical for cancer immunity, were significantly increased in ROS1mutant tumors.Moreover, we examined the expression levels of 48 chemokines and their receptors (Fig. 2H) and 39 immune-stimulators (Fig. 2I), most of which were elevated in ROS1-mutant tumors.
In summary, these results revealed ROS1 mutation was a favorable biomarker for outcomes in pan-cancer immunotherapy.

Fig. 1
Fig. 1 ROS1 mutation is an independent biomarker for favorable outcomes in pan-cancer immunotherapy.(A) Kaplan-Meier survival analysis stratified by ROS1 mutation status in 1610 cancer patients with 10 tumor types treated with ICIs in the discovery cohort.(B) Association between ROS1 mutation and OS in 1395 patients with 7 tumor types in the validation cohort.(C-D) Comparison of OS (C) and ORR (D) between patients with ROS1 mutant tumors and patients with ROS1 non-mutant tumors in 3005 subjects with 12 tumors treated with ICIs.(E-F) Univariate (E) and multivariate (F) Cox analysis of the association between ROS1 mutation and OS in 3888 patients with 12 tumors treated with ICIs.(G) Nomogram to predict the 12-and 24-month survival.(H) Calibration plots for validation of the 12-and 24-month survival from the nomogram in the discovery cohort.The average predicted probability (X axis) was plotted against the observed Kaplan-Meier estimate in the subgroup (Y axis, 95% CIs of the estimates are presented as vertical lines).Continuous line is the reference line, indicating what an optimal nomogram would be.(I-J) Based on the optimal cutoff value derived from nomogram, low-score was associated with favorable OS in both discovery cohort (I) and validation cohort (J).CI, confidence interval; CR, complete response; HR, hazard ratio; ICI, immune checkpoint inhibitor; ORR, objective response rate; OS, overall survival; PD, progressive disease; PR, partial response; SD, stable disease