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.

Epigenetic targets to enhance antitumor immune response through the induction of tertiary lymphoid structures

Tertiary lymphoid structures (TLS) are ectopic lymphoid aggregates found in sites of chronic inflammation such as tumors and autoimmune diseases. The discovery that TLS formation at tumor sites correlated with good patient prognosis has triggered extensive research into various techniques to induce their formation at the tumor microenvironment (TME). One strategy is the exogenous induction of specific cytokines and chemokine expression in murine models. However, applying such systemic chemokine expression can result in significant toxicity and damage to healthy tissues. Also, the TLS formed from exogenous chemokine induction is heterogeneous and different from the ones associated with favorable prognosis. Therefore, there is a need to optimize additional approaches like immune cell engineering with lentiviral transduction to improve the TLS formation in vivo. Similarly, the genetic and epigenetic regulation of the different phases of TLS neogenesis are still unknown. Understanding these molecular regulations could help identify novel targets to induce tissue-specific TLS in the TME. This review offers a unique insight into the molecular checkpoints of the different stages and mechanisms involved in TLS formation. This review also highlights potential epigenetic targets to induce TLS neogenesis. The review further explores epigenetic therapies (epi-therapy) and ongoing clinical trials using epi-therapy in cancers. In addition, it builds upon the current knowledge of tools to generate TLS and TLS phenotyping biomarkers with predictive and prognostic clinical potential.

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 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.

Liquid Biopsy as a Tool for the Characterisation and Early Detection of the Field Cancerization Effect in Patients with Oral Cavity Carcinoma

Oral squamous cell carcinoma (OSCC) constitutes approximately 25% of all head and neck cancer, for which the consumption of tobacco and alcohol are the main associated risk factors. The field cancerization effect of OSCC is one of the main reasons for the poor survival rates associated with this disease. Despite some advances, its ccharacterization and early diagnosis continue to challenge modern oncology, and the goal of improving the prognosis remains to be achieved. Among new early diagnostic tools for OSCC that have been proposed, liquid biopsy appears to be an ideal candidate, as studies have shown that the analysis of blood and saliva provides promising data for the early detection of relapses or second tumours.

EDIL3 promotes epithelial-mesenchymal transition and paclitaxel resistance through its interaction with integrin αVβ3 in cancer cells

Epithelial-mesenchymal transition (EMT) has recently been associated with tumor progression, metastasis, and chemotherapy resistance in several tumor types. We performed a differential gene expression analysis comparing paclitaxel-resistant vs. paclitaxel-sensitive breast cancer cells that showed the upregulation of EDIL3 (EGF Like Repeats and Discoidin I Like Domains Protein 3). This gene codifies an extracellular matrix protein that has been identified as a novel regulator of EMT, so we studied its role in tumor progression and paclitaxel response. Our results demonstrated that EDIL3 expression levels were increased in paclitaxel-resistant breast and prostate cancer cells, and in subsets of high-grade breast and prostate tumors. Moreover, we observed that EDIL3 modulated the expression of EMT markers and this was impaired by cilengitide, which blocks the EDIL3-integrin αVβ3 interaction. EDIL3 knockdown reverted EMT and sensitized cells to paclitaxel. In contrast, EDIL3 overexpression or the culture of cells in the presence of EDIL3-enriched medium induced EMT and paclitaxel resistance. Adding cilengitide resensitized these cells to paclitaxel treatment. In summary, EDIL3 may contribute to EMT and paclitaxel resistance through autocrine or paracrine signaling in cancer cells. Blockade of EDIL3-integrin αVβ3 interaction by cilengitide restores sensitivity to paclitaxel and reverts EMT in paclitaxel-resistant cancer cells. Combinations of cilengitide and taxanes could be beneficial in the treatment of subsets of breast and prostate cancers.

Monitoring through flow cytometry as a biomarker of early response to checkpoint inhibitor

e21603

Background: Despite the efforts, there is still no biomarker that is able to predict the response and / or that can be used in the monitoring of patients treated with check-points inhibitors (ICI). Methods: Prospective study of a panel of blood biomarkers that help predict the response to ICI treatments. Since June 2019, a total of 60 patients with non-small cell lung cancer (NSCLC) or melanoma have been included. Prior to the start of treatment (T1 moment), after the first cycle of ICI (T2), and to progression (Tp) or 6 months after the start, blood sample has been drawn to the patients and the analysis has been carried out by flow cytometry of the percentage of lymphocytes CD8, CD3, Treg, Myeloids, NK and B lymphocytes. The one.way statistical test has been carried out that allows us to see the effect of the response on the variable at each time. Results: Of the 60 patients included, we have radiological assessment in 38. 80% are patients with NSCLC. In the evaluation at 8-10 weeks we found stable disease / partial response in 25 patients (66%), 8 progressions (21%) and 2 unknown reevaluations (13%). A significant increase in CD3, CD8, CD4, and B lymphocytes was observed in responders (p < 0.005); however, an increase in NK was observed in patients in progression (p < 0.02). No significant differences in Treg have been described and the result related to myeloid cells is pending analysis. Conclusions: Our results open a door to peripheral blood monitoring as a new tool for the management of ICI. However, our data are preliminary, having not yet reached the expected sample size and with aspects that we must clarify as the increase in NK in progressors. In addition, the final objective of this study is to generate a score combining several biomarkers of blood and tissue to be used as a predictor of response to ICI (data pending analysis).

Mutation screening of multiple genes in Spanish patients with autosomal recessive retinitis pigmentosa by targeted resequencing

Retinitis Pigmentosa (RP) is a heterogeneous group of inherited retinal dystrophies characterised ultimately by the loss of photoreceptor cells. RP is the leading cause of visual loss in individuals younger than 60 years, with a prevalence of about 1 in 4000. The molecular genetic diagnosis of autosomal recessive RP (arRP) is challenging due to the large genetic and clinical heterogeneity. Traditional methods for sequencing arRP genes are often laborious and not easily available and a screening technique that enables the rapid detection of the genetic cause would be very helpful in the clinical practice. The goal of this study was to develop and apply microarray-based resequencing technology capable of detecting both known and novel mutations on a single high-throughput platform. Hence, the coding regions and exon/intron boundaries of 16 arRP genes were resequenced using microarrays in 102 Spanish patients with clinical diagnosis of arRP. All the detected variations were confirmed by direct sequencing and potential pathogenicity was assessed by functional predictions and frequency in controls. For validation purposes 4 positive controls for variants consisting of previously identified changes were hybridized on the array. As a result of the screening, we detected 44 variants, of which 15 are very likely pathogenic detected in 14 arRP families (14%). Finally, the design of this array can easily be transformed in an equivalent diagnostic system based on targeted enrichment followed by next generation sequencing.

Copy-number variations in EYS: a significant event in the appearance of arRP

PURPOSE

Autosomal recessive retinitis pigmentosa (arRP) has recently been associated with mutations in a novel gene, EYS, which is a major gene for this disease. All published mutations so far are based on conventional PCR and are not adequate to identify midsized DNA rearrangements. This study was conducted to establish the prevalence of copy-number variations (CNVs) in the EYS gene in a cohort of arRP patients, including individuals in whom only one pathogenic change was detected by PCR-based sequencing.

METHODS

A multiple ligation-dependent probe amplification (MLPA) was used for the molecular genetic analyses of CNVs by a novel EYS-specific kit. PCR-based direct sequencing was used in families where a pathogenic deletion or duplication was identified in one allele. Bioinformatics analyses was undertaken to study the effect of the mutations on protein structure and function.

RESULTS

Six novel pathogenic CNVs were identified. Also, the presence of four midsized deletions was confirmed in patients previously identified. Midsized genomic rearrangements in EYS are disease causing in ∼4% of the families with no reported mutations and constitute the second pathogenic variation in ∼15% of cases where a mutation has been detected by direct sequencing.

CONCLUSIONS

This is the first report of a systematic CNV screening of EYS gene in a cohort of arRP patients. Results suggest that midsized genomic rearrangements in EYS gene would be a common event in the appearance of RP phenotype. An efficient and cost-effective strategy validating a novel MLPA kit as a complementary diagnostic method for EYS pathogenic evaluation has been demonstrated.

Mutation spectrum of EYS in Spanish patients with autosomal recessive retinitis pigmentosa

Retinitis pigmentosa (RP) is a heterogeneous group of inherited retinal dystrophies characterised ultimately by the loss of photoreceptor cells. We have recently identified a new gene(EYS) encoding an ortholog of Drosophila space maker (spam) as a commonly mutated gene in autosomal recessive RP. In the present study, we report the identification of 73 sequence variations in EYS, of which 28 are novel. Of these, 42.9% (12/28) are very likely pathogenic, 17.9% (5/28)are possibly pathogenic, whereas 39.3% (11/28) are SNPs. In addition, we have detected 3 pathogenic changes previously reported in other populations. We are also presenting the characterisation of EYS homologues in different species, and a detailed analysis of the EYS domains, with the identification of an interesting novel feature: a putative coiled-coil domain.Majority of the mutations in the arRP patients have been found within the domain structures of EYS. The minimum observed prevalence of distinct EYS mutations in our group of patients is of 15.9% (15/94), confirming a major involvement of EYS in the pathogenesis of arRP in the Spanish population. Along with the detection of three recurrent mutations in Caucasian population, our hypothesis of EYS being the first prevalent gene in arRP has been reinforced in the present study.

Microarray-based mutation analysis of 183 Spanish families with Usher syndrome

PURPOSE

The purpose of this study was to test the ability of the genotyping microarray for Usher syndrome (USH) to identify the mutations responsible for the disease in a cohort of 183 patients with USH.

METHODS

DNA from 183 patients with Usher syndrome from the Spanish population was analyzed using a genotyping microarray containing 429 previously identified disease-associated variants in eight USH genes. Mutations detected by the array were confirmed by direct sequencing. Haplotype analysis was also performed in families carrying common Spanish mutations.

RESULTS

The genotyping microarray identified 43 different variants, divided into 32 disease causative and 11 probably nonpathologic. Mutations were detected in 62 patients with USH (33.9%). According to the clinical classification of patients, pathologic variants were detected in 31.4% patients with USH1, 39.4% of with USH2, 22.2% with USH3 and 15.8% with unclassified Usher syndrome. Ninety-seven pathologic alleles were detected, corresponding to 26.5% of expected alleles. The USH2A mutations p.C3267R and p.T3571M were revealed as common in the Spanish population, and two major haplotypes linked to these mutations were observed.

CONCLUSIONS

The genotyping microarray is a robust, low-cost, rapid technique that is effective for the genetic study of patients with USH. However, it also indicates variants of unclear pathologic nature and detection failures have also been observed. Results must be confirmed by direct sequencing to avoid misdiagnosis, and continuous updates of the microarray should be performed to increase the efficiency and rate of detection of mutations.

Genetic analysis of FAM46A in Spanish families with autosomal recessive retinitis pigmentosa: characterisation of novel VNTRs

Retinitis pigmentosa (RP) is a group of retinal dystrophies characterised primarily by rod photoreceptor cell degeneration. Exhibiting great clinical and genetic heterogeneity, RP be inherited as an autosomal dominant (ad) and recessive (ar), X-linked (xl) and digenic disorder. RP25, a locus for arRP, was mapped to chromosome 6p12.1-q14.1 where several retinal dystrophy loci are located. A gene expressed in the retina, FAM46A, mapped within the RP25 locus, and computational data revealed its involvement in retinal signalling pathways. Therefore, we chose to perform molecular evaluation of this gene as a good candidate in arRP families linked to the RP25 interval. A comprehensive bioinformatic and retinal tissue expression characterisation of FAM46A was performed, together with mutation screening of seven RP25 families. Herein we present 4 novel sequence variants, of which one is a novel deletion within a low complexity region close to the initiation codon of FAM46A. Furthermore, we have characterised for the first time a coding tandem variation in the Caucasian population. This study reports on bioinformatic and moleculardata for the FAM46A gene that may give a wider insight into the putative function of this gene and its pathologic relevance to RP25 and other retinal diseases mapping within the 6q chromosomal interval.

Linkage validation of RP25 Using the 10K genechip array and further refinement of the locus by new linked families

Retinitis pigmentosa (RP) is a clinically and genetically heterogeneous group of retinal dystrophies, characterised by rod photoreceptor cell degeneration with autosomal recessive RP (arRP) as the commonest form worldwide. To date, a total of 26 loci have been reported for arRP, each having a prevalence of 1-5%, except for the RP25 locus which was identified as the genetic cause of 14% of arRP cases in Spain. In order to validate the original linkage of RP25, we undertook a total genome scan using the 10K GeneChip mapping array on three of the previously linked families. The data obtained supported the initial findings of linkage. Additionally, linkage analysis in 18 newly ascertained arRP families was performed using microsatellite markers spanning the chromosome 6p12.1-q15 interval. Five out of the 18 families showed suggestive evidence of linkage to RP25, hence supporting the high prevalence of this locus in the Spanish population. Furthermore, the finding of a crossover in one of these families is likely to have refined the disease interval from the original 16 cM to only a 2.67 cM region between D6S257 and D6S1557.