Novel Blood Biomarkers for Response Prediction and Monitoring of Stereotactic Ablative Radiotherapy and Immunotherapy in Metastatic Oligoprogressive Lung Cancer

Up to 80% of patients under immune checkpoint inhibitors (ICI) face resistance. In this context, stereotactic ablative radiotherapy (SABR) can induce an immune or abscopal response. However, its molecular determinants remain unknown. We present early results of a translational study assessing biomarkers of response to combined ICI and SABR (I-SABR) in liquid biopsy from oligoprogressive patients in a prospective observational multicenter study. Cohort A includes metastatic patients in oligoprogression to ICI maintaining the same ICI due to clinical benefit and who receive concomitant SABR. B is a comparative group of oligometastatic patients receiving only SABR. Blood samples are extracted at baseline (T1), after the first (T2) and last (T3) fraction, two months post-SABR (T4) and at further progression (TP). Response is evaluated by iRECIST and defined by the objective response rate (ORR)-complete and partial responses. We assess peripheral blood mononuclear cells (PBMCs), circulating cell-free DNA (cfDNA) and small RNA from extracellular vesicles. Twenty-seven patients could be analyzed (cohort A: n = 19; B: n = 8). Most were males with non-small cell lung cancer and one progressing lesion. With a median follow-up of 6 months, the last ORR was 63% (26% complete and 37% partial response). A decrease in cfDNA from T2 to T3 correlated with a good response. At T2, CD8+PD1+ and CD8+PDL1+ cells were increased in non-responders and responders, respectively. At T2, 27 microRNAs were differentially expressed. These are potential biomarkers of response to I-SABR in oligoprogressive disease.

Dynamic Exosome Analysis to Predict Response to the Combination of SABR and Immunotherapy in Oligoprogressive Disease

PURPOSE/OBJECTIVE(S)

Up to 80% of metastatic patients face resistance to immune checkpoint inhibitors (ICI). Combined SABR and ICI (I-SABR) can unleash antitumor immune cascades to overcome resistance and improve response with minimal toxicity. This synergy is particularly interesting in the oligoprogressive setting to extend the clinical benefit (CB) of ICI. However, there are no current biomarkers for patient selection. We hypothesize that differential expression of exosomal RNA in liquid biopsy may predict response to I-SABR.

MATERIALS/METHODS

Ongoing prospective multicenter study in two cohorts. Cohort A consists of metastatic patients in oligoprogression to ICI (1-5 extracranial sites) but maintaining the same ICI due to CB and who receive concomitant SABR (35 Gy in 5 fractions, fx) to oligoprogressive sites. Cohort B is a comparative group of oligometastatic patients receiving only SABR in ablative doses. Blood samples are extracted before SABR (T1), after the first (T2) and last (T3) fx, two months post-SABR (T4) and at further progression (TP). Response is evaluated by iRECIST and defined by the objective response rate (ORR) in all lesions (in and out-of-field)- complete and partial responses. For exosome analysis, we perform RNA isolation and small RNA sequencing from plasma. We use Cutadapt, Bowtie and featureCounts to quantify the number of reads of miRNA, small nuclear RNA (snRNA) and small nucleolar RNA (snoRNA). Pairwise differences in expression in responders and non-responders are examined by DESeq2 differential expression analysis. Differentially expressed transcripts are consulted in Ingenuity Pathway Analysis (IPA).

RESULTS

Of 22 patients recruited, we present preliminary results of the first 10 (8 from cohort A and 2 from B) that had undergone re-evaluation after SABR. Most frequent cancer types were lung (60%) and renal cell (20%). Seventy percent were polymetastatic (>5 lesions) and 90% had a single progressing site. Pembrolizumab (40%) and Nivolumab (30%) were the most frequent ICI. Most lesions for SABR were lung (45%). With a median follow-up of 7.1 months (95% CI, 3.7-10.6) ORR at two months was 60% (6 partial responses, 1 stable disease and 3 progressions). Median progression-free survival was 10.3 months (95% CI, 3.7-not reached) and median overall survival was not reached. Seven patients in cohort A were available for small RNA analysis. We identified 3 miRNA, 24 snRNA and 9 snoRNA that were significantly differentially expressed at T1. Hsa-miR-493, marker of tumor progression, was upregulated in non-responders. RN7SK inhibits LAS1L (a known inductor of metastasis in lung cancer) and was upregulated in responders. SNORD71, which is inhibited by ILF3 (promotor of progression), was also upregulated in responders.

CONCLUSION

I-SABR is an effective approach for extending CB of ICI in oligoprogressive patients. Exosomal RNA expression analysis in liquid biopsy is a novel and non-invasive technique that may predict response to this combination and aid in patient selection.

Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade

The present study aimed to investigate the potential of basal cell-free fluorometric DNA (cfDNA) quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). A discovery and validation cohort of 61 and 31 advanced lung cancer patients treated with ICB were included in this study. Quantification of cfDNA concentration was performed before the start of the treatment and patients were followed up for a median of 34 (30-40) months. The prognostic predicted value of cfDNA was evaluated based on ROC, and Cox regression was conducted via univariate and multivariate analyses to estimate the hazard ratio. We observed that a cfDNA cut-off of 0.55 ng/µL before the ICB determines the overall survival of patients with a log rank p-value of 3.3 × 10^-4. That represents median survivals of 3.8 vs. 17.5 months. Similar results were obtained in the validation cohort being the log rank p-value 3.8 × 10^-2 with median survivals of 5.9 vs. 24.3. The univariate and multivariate analysis revealed that the cut-off of 0.55 ng/µL before ICB treatment was an independent predictive factor and was significantly associated with a better survival outcome. High cfDNA concentrations identify patients with advanced NSCLC who do not benefit from the ICB. The determination of cfDNA is a simple test that could select a group of patients in whom new therapeutic strategies are needed.

Abstract 3746: Dynamic characterization of small RNAs in non small cell lung cancer exosomes under immune-checkpoint inhibitor treatments

Immunotherapy based on Immune Checkpoint blockade (ICB) has become a significant therapeutic option for advanced Non Small Cell Lung Cancer (NSCLC) patients. However, there is an urgent need to find novel biomarkers that to reliably stratify good responders to immunotherapy. Currently, the available biomarkers are not specific enough. Exosomes are small membrane vesicles with sizes of 30-100 nm secreted by most cell types including cancer cells. Exosomes operate as an intercellular communication system by sending proteins, mRNA and miRNAs among other relevant RNA molecules. Exosomes enriched with miRNAS are involved in proliferation, differentiation, maduration and immune cell activation. Moreover, in cancer cells miRNA and other small RNA molecule expressions are dysregulated. Exosomes produced from cancer patient's plasma have been shown to be accurate diagnostic tools for the disease. In this study we profiled miRNAs and other small RNA cargo by exosome of plasma samples from 77 Non Small Cell Lung Cancer (NSCLC) metastatic patients before and after the first cycle of immunotherapy to evaluate the potentiality of predicting response to immunotherapy. We perform exosomes together with RNA isolation and small RNAseq sequencing from plasma samples before and after the first ICB cycle. Two independent softwares were used to identify small RNAs (RNAtoolbox and mirMaster). Prior ICB treatment we did not find differentially expressed miRNAs or other small RNA between good and bad responders. Interestingly we identified 12 exosomal miRNA differentially expressed between good and bad responders after the first cycle of ICB. Intriguingly, levels of miR-134-5p, miR-142-3p, miR-143-3p among others previously associated with NSCLC were found to be considerably higher in the good responder group than the bad responder group. Regarding other smallRNA molecules we observed a great variety and variability of piRNA, rRNA, scaRNA, lncRNA, snoRNA, snRNA, miscRNA and circRNA. To address the function of miRNA and other differentially expressed RNA molecules, we consulted KEGG, GO and Reactome for gene regulatory networks. Interestingly, KEGG results show pathways in cancer as top hit and Reactome highlight Immune System and cancer hits. In conclusion, we observed that patients that have favorable response to ICB have distinctive plasma exosomal miRNA patterns that could be used as possible biomarkers for predicting the effectiveness of immunotherapy in advanced NSCLC patients

Citation Format: Maria Garrido-Barros, Javier Oliver, Juan Luis Onieva, Beatriz Martinez-Galvez, Jaime Duddelman, Antonio Rueda, Elisabeth Perez, Emilio Alba, Inmaculada Ramos, Juan Zafra, Manuel Cobo, Isabel Barragán. Dynamic characterization of small RNAs in non small cell lung cancer exosomes under immune-checkpoint inhibitor treatments. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3746.

Abstract 1044: Cell-free DNA concentration as a prognostic biomarker in patients with non-small cell lung cancer under immunotherapy treatment

The irruption of the immunotherapy for the treatment of non-small cell lung cancer (NSCLC) based on Immune Checkpoint Inhibitors (ICI) PD-1 and PD-L1 inhibitors is considered a treatment revolution. However, only a small percentage of patients benefit with ICI treatment over the long term, and precise biomarkers that can recognize these individuals before or early during treatment have so far eluded. PD-L1 expression and tumor mutational burden (TMB) are the most well studied biomarkers for predicting response to PD- (L)1 blockade-based ICI prior to treatment. TMB is still being clinically assessed whereas PD-L1 has several drawbacks for prediction of persistent benefit. Our aim is to evaluate the basal state and dynamic changes of cell-free DNA (cfDNA) concentration to predict and monitor response in NSCLC patients starting ICI. A total of 248 cfDNA concentration measurements were performed from 87 NSCLC patients. The quantification was done before the start of the treatment, at the second ICI cycle, after 6 and 12 months in treatment, and at progression if it was within the first 12 months. Quality and quantity of the cfDNA was assessed using Qubit High Sensitivity and Bioanalyzer 2100. We first explored the association with response of the basal cell-free DNA concentration using Mann-Whitney-Wilcoxon test. The longitudinal analysis between different time points was tested with Wilcoxon signed-rank tests. Response was ascertained using RECIST parameters at 3, 6, and 12 months. We evaluated the utility of the cfDNA concentration as a prognostic factor using Mantel-Cox test. The response association results indicate that early and long-term response is associated with lower levels of basal cfDNA (p<0.002, 3 months; p<0.001, 6 months; p<0.05, 12 months). The longitudinal analysis could also detect a decrease in cfDNA from the second cycle to the month 6 of treatment in responders (p<0.05), and an increase in non-responders (p<0.05). To identify a prognostic concentration threshold, statistical stratification of cfDNA levels based on the selected maximum rank method of cfDNA levels was used to group them into low and high concentration. Patients with high basal cfDNA concentrations showed both worse FPS (log-rank 3.4x10-03, Medians: Low 12.57 [8.36 - 18.46] High 5.50 [3.03 - 10.06]) and OS (log-rank 3.2x10-05, Medians: Low 21.26 [15.33 - 33.96] High 5.45 [3.10 - 15.66]). With these results, we provide proof-of-principle that specifically detecting tumor cfDNA by PCR or NGS methods would not be necessary to predict the long-term clinical benefit to ICI in NSCLC patients. Moreover, concentration cut-offs can be defined to categorize the patients in potential responders and non-responders before the start of the treatment. This would constitute a cost-effective and easily implementable prognostic tool that could be particularly useful for avoiding loss of treatment windows of opportunities.

Citation Format: Isabel Barragan, Elisabeth Perez-Ruiz, Juan Luis Onieva, Maria Garrido-Ramos, Beatriz Martinez-Galvez, Jaime Dubbelman, Emilio Alba, Juan Zafra, Manuel Cobo, Javier Oliver, Antonio Rueda-Dominguez. Cell-free DNA concentration as a prognostic biomarker in patients with non-small cell lung cancer under immunotherapy treatment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1044.

Abstract 1538: Association of ceRNA dysregulation with clinical Response to Immunotherapy in cutaneous melanoma (CM)

Cutaneous melanoma (CM) is an aggressive malignant tumor of epidermal melanocytes for which treatment options and survival chances decrease dramatically when metastatic. To date, immunotherapy is becoming a new standard treatment for CM although less than 30% of the patients´ response positively. Therefore, there is a strong interest to identify response predictors and molecular pathways that might lead to therapy failure. Two novel biomarker sources are LncRNA and CircRNA which can function as natural sponges of miRNA as competitive endogenous RNAs (ceRNA) or can associate to RNA-Binding Proteins (RBP) to regulate gene expression. Moreover, several studies have revealed that ceRNA networks are implicated in tumorigenic processes. Considering this, we set to interrogate the role of the ceRNA in the prediction of response to CM immunotherapy. In this pilot study, differential expression was quantified by RNA-seq in 16 FFPE pre-treatment metastatic samples from CM patients treated with Nivolumab. Total RNA isolation was performed from 10 µm slides (4) with RNAeasy FFPE kit. Total RNAseq was done with Truseq Stranded RNA gold kit, and libraries were sequenced on Illumina Nextseq 550. LncRNA were obtained by STARs alignment and explored on LncATLAS. To assess the presence of high confident cirRNA we used 5 different pipelines with a minimum filtering cut-off of 2 junction reads in at least 2 samples and with at least 3 software. Deseq2 pipeline of total mapped reads was used to perform differential expression. We identified 23 circRNA and 74 lncRNA differentially expressed (DE) with a fold change of 1.5 and a p value < 0,01. Ingenuity pathway analysis was carried out to generate DE ceRNA-mRNA networks and associated RBP networks. Interestingly, in the DE ceRNA-mRNA networks, most of the 47 significant canonical pathways comprised immunological pathways such the antigen presentation pathway, Th1 and Th2 activation pathways and PD1-PDL1 cancer immunotherapy pathways. Regarding the DE ceRNA associated RBP networks, HOTAIR regulatory pathway and senescence as well as G1/S cell cycle checkpoint regulator pathways were enriched. Furthermore, we were able to predict the interaction of the DE ceRNA with the activation of key promoters of the immune response such as IL27 (Interleukin 27), EIB3 (Epstein-Barr Virus Induced 3), IL2 (Interleukin 2) and IFNA2 (Interferon Alpha2), as well as the inhibition of negative immune regulators such as SAFB2 (Distal-Less Homeobox 2) and FOXD1 (Forkhead Box D1). In conclusion, we have evidenced for the first time the potential utility of ceRNA as immunotherapy predictors. We have generated a response signature of ceRNA expression and used network analysis to associate them with specific key modulators of the immune response. This study opens a new venue for the investigation of the role of these regulatory ncRNA in the resistance to immunotherapy in cancer.

Citation Format: Javier Oliver, Juan Luis Onieva, Maria Garrido-Barros, Alicia Garrido-Aranda, Vanessa De Luque, Martina Alvarez, Alfonso Sanchez, Elisabeth Perez, Patricia Chaves, Maria Jose Lozano, Miguel Berciano, Manolo Cobo, Emilio Alba, Antonio Rueda, Isabel Barragan. Association of ceRNA dysregulation with clinical Response to Immunotherapy in cutaneous melanoma (CM) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1538.

Abstract 1910: flowTOTAL: A comprehensive bioinformatics workflow for flow cytometry automatic analysis

Flow cytometry is a technique for analyzing cells that are suspended in a buffered salt-based solution and flow past one or more lasers. Visible light scatter and one or more fluorescence characteristics are assessed for each particle. The most common use of flow cytometry is immunophenotyping. In traditional flow cytometry analysis, a region around a population of cells is manually drawn (gating) in two-dimensional scatter plots. This enables the measuring of specific groups of cells. However, manual gating could increase the overall error rate of the study and makes the analysis hardly reproducible since it is done in less controlled settings. Furthermore, it represents a bottleneck in the analysis of large amounts of data. Some processes, such as gating, have recently been automated using R packages. In addition, dimensionality reduction approaches have been developed in the flow cytometry environment to take advantage of information from several markers at once. Despite this, none of them are integrated in a harmonized way, and none of them allow back-gating to emphasize the study population and eliminate false positives. To tackle this problem, our team has developed flowTOTAL (github.com/ImmunoOncology/flowTOTAL), a user-friendly command line workflow to analyze flow cytometry data. The major attractive feature is the facility to perform with one command not only a traditional analysis, but also an unsupervised analysis. As input, the user has to indicate the folder with the .FCS files, the metadata associated with each file, and the marker to be used during back-gating. The pipeline is divided into three main sections: preprocessing, traditional analysis, and unsupervised analysis. During preprocessing each. FCS will be subjected to correcting for fluorescence spillover (compensation), detection of anomalies by checking flow rate and signal acquisition as well as removing doublets based on forward scatter (QC). For the traditional analysis, auto-gating will be performed for the identification of the target population using back-gating. For each set of given markers, the number of events obtained and the scatter plot will be generated. Finally, in the unsupervised analysis, the population of interest will be specified and the pipeline will proceed with normalization, dimensionality reduction using PCA or UMAP and finally a clustering approach for subpopulation identification. In addition, differential abundance analysis can be performed with metadata information. flowTOTAL is presented as a standardization for the analysis of flow cytometry data, comprising all the necessary steps for comprehensive analysis and allowing mass analysis. Furthermore, it goes beyond the simple quantification of particles, since the implementation of more complex methodologies allows for the discovery of subpopulations that are not present in the traditional analysis but have a significant biological role.

Citation Format: Juan Luis Onieva, Patricia Cháves, Javier Oliver, María Garrido-Barros, Juan Zafra, Belén Sojo, Alfonso Sánchez, Martina Álvarez, Pedro Jiménez, Emilio Alba, Miguel Berciano, Antonio Rueda, Manuel Cobo-Dols, Elisabeth Pérez, Isabel Barragán. flowTOTAL: A comprehensive bioinformatics workflow for flow cytometry automatic analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1910.

Combination of Stereotactic Ablative Radiotherapy With Anti-PD-1 in Oligoprogressive Non-Small-Cell Lung Cancer And Melanoma: Results of a Prospective Multicenter Observational Study

Introduction The percentage of patients with metastatic non-small-cell lung cancer (NSCLC) and melanoma who benefit from anti-programmed cell death protein 1 (anti-PD-1) is low due to resistance mechanisms. Stereotactic ablative radiotherapy (SABR) has a role in oligoprogressive disease and can improve responses to anti-PD-1. This multicenter prospective observational study aims to determine whether concomitant anti-PD-1 and SABR to oligoprogressive sites enhance tumor response in metastatic NSCLC and melanoma. Methods Patients with metastatic NSCLC or melanoma in progression to anti-PD-1 but continuing the same line due to clinical benefit were referred for palliative SABR. All patients received concomitant pembrolizumab or nivolumab and SABR to 1-5 lesions, maintaining anti-PD-1 until further progression, unacceptable toxicity, or medical/patient decision. Objective response rate (ORR)-complete responses (CR) and partial responses (PR) -was evaluated during all follow-up following RECIST1.1. The abscopal response (AR) was evaluated 8 weeks after SABR as a ≥30% reduction in 1-2 predefined non-irradiated lesions. Results Of the 61 patients enrolled, 50 could be analyzed. With a median follow-up of 32.8 months, ORR was 42% (30% CR and 12% PR). Median progression-free survival was 14.2 months (95% CI, 6.9-29 months). Median overall survival since SABR was 37.4 months (95% CI, 22.9 months-not reached). AR was 65%, evaluated in 40 patients who fulfilled the criteria. Conclusions Combined anti-PD-1 and SABR in oligoprogressive metastatic NSCLC or melanoma can achieve high rates of response and extend the clinical benefit of immunotherapy by delaying further progression and a new systemic therapy. This approach should be assessed in larger randomized trials.