Molecular and immune changes in tumor draining lymph nodes following node sparing radiotherapy of Non-Small Cell Lung Cancer
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ABSTRACT: Background: While much progress has been accomplished in the understanding of radiation-induced immune effects in tumors, little is known regarding the mechanisms involved at the tumor draining lymph node (TDLN) level following tumor irradiation. The objective of this retrospective study was to assess the immune and biological changes arising in TDLN upon concurrent chemoradiotherapy of primary non-small cell lung cancer (NSCLC) tumors. Methods: Patients with proved localized (cN0M0) NSCLC, treated by radical surgery plus lymph node dissection with (CRT+) or without (CRT-) neoadjuvant chemoradiotherapy, whereby radiotherapy was targeted on the primary tumor with no significant incidental irradiation of the TDLN station (stations XI or X), were identified. Bulk RNA-Seq of TDLNs was performed and data were analyzed based on differential gene expression (DEG) and gene sets enrichment. Results: Sixteen patients were included and 25 TDLNs were analyzed: 6 patients in the CRT+ group (12 samples) and 10 patients in the CRT- group (13 samples). Overall, 1001 genes were differentially expressed between the two groups (CRT+ and CRT-). Analysis with g-profiler revealed that gene sets associated with antitumor immune response, inflammatory response, hypoxia, angiogenesis, epithelial mesenchymal transition and extra-cellular matrix remodeling were enriched in the CRT+ group, whereas only gene sets associated with B cells and B-cell receptor signaling were enriched in the CRT- group. Unsupervised dimensionality reduction identified two clusters of TDLNs from CRT+ patients, of which one cluster (cluster 1) exhibited higher expression of pathways identified as enriched in the overall CRT+ group in comparison to the CRT- group. In CRT+ cluster 1, 3 out of 3 patients had pathological complete response (pCR) or major complete response (MPR) to neoadjuvant CRT, whereas only 1 out of 3 patients in the other CRT+ cluster (cluster 2) experienced MPR and none exhibited pCR. Finally, pathway comparison to published data from pre-metastatic TDLNs uncovered similarities with CRT+ cluster 1. Conclusion: Neoadjuvant concurrent chemoradiotherapy of the primary tumor in N0 NSCLC patients is associated with distinct microenvironment and immunological patterns in TDLNs as compared to TDLNs from patients with non-irradiated tumors. Our data are in line with studies showing superiority of lymph node sparing irradiation of the primary tumor in the induction of systemic antitumor immunity.
Project description:Neoadjuvant chemoradiotherapy (CRT) is used in locally advanced rectal cancer when tumours threaten the circumferential resection margin. A variable response to treatment remains, notwithstanding potentially significant morbidity, and no clinically routinely used predictive biomarkers guide decision making. This experimental study aimed to identify significantly differentially expressed proteins between patients responding or not to CRT, using novel temporal proteomic profiling, and to validate any proteins of interest.
Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patients’ survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify miRNA markers for ESCC CRT-response prediction through miRNA expression analyses. MiRNA expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery using Agilent human miRNA microarrays based on miRBase (release 18.0) GeneChip®.
Project description:Neoadjuvant chemoradiotherapy (CRT) followed by surgery is the standard treatment for locally advanced rectal cancer (LARC). However, there are no good predictive methods. This study investigated whether specific lncRNA expression is associated with response to CRT. Tissue biopsies were obtained from patients before CRT. LncRNA expression was analyzed using one-color microarrays technique comparing signatures between good respondersand poor responders, as measured by tumour regression grade (TRG).
Project description:The study objective was to find new biomarkers of treatment response and adverse events in patients receiving neoadjuvant therapy for locally advanced rectal cancer. Patients received neoadjuvant chemotherapy (NACT) followed by chemoradiotherapy (CRT) and underwent treatment evaluation four weeks after CRT completion. Radical pelvic surgery was planned 2-4 weeks later. Patients were scored for treatment adverse events, according to Common Terminology Criteria for Adverse Events (CTCAE) version 3.0, throughout the neoadjuvant treatment course, including at NACT and CRT completion. Treatment response was assessed by histologic ypTN staging and tumor regression grade (TRG) scoring, as well as progression-free survival (time from Inclusion date to Date of local relapse or Date of metastatic disease, whichever came first) recorded for five years after surgery.
Project description:Preoperative chemoradiotherapy (CRT) followed by surgery has been proved to improve esophageal squamous cell carcinoma (ESCC) patientsM-bM-^@M-^Y survival in comparison with surgery alone. However, the outcomes of CRT are heterogeneous, and no clinical or pathological method could predict CRT response. We aim to identify mRNA markers for ESCC CRT-response prediction through gene expression analyses. Gene expression analyses were performed on pretreatment cancer biopsies from 28 ESCCs who received neoadjuvant CRT and surgery and 10 normal esophageal epithelia using Affymetrix U133 Plus 2.0 arrays.
Project description:The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers.
Project description:Tumor-draining lymph node (TDLN) invasion by metastatic cells in breast cancer correlates with poor prognosis and is associated with local immunosuppression, which can be partly mediated by regulatory T cells (Tregs). Here, we study Tregs from matched tumor-invaded and non-invaded TDLNs, and breast tumors. We observe that Treg frequencies increase with nodal invasion, that Tregs express higher levels of co-inhibitory/stimulatory receptors than effector cells. Also, while Tregs show conserved suppressive function in TDLN and tumor, conventional T cells (Tconvs) in TDLNs proliferate and produce Th1-inflammatory cytokines, but are dysfunctional in the tumor. We describe a common transcriptomic signature shared by Tregs from tumors and nodes, including CD80, which is significantly associated with poor patient survival. TCR RNA-sequencing analysis indicates trafficking between TDLNs and tumors and ongoing Tconv/Treg conversion. Overall, TDLN Tregs are functional and express a distinct pattern of druggable co-receptors, highlighting their potential as targets for cancer immunotherapy.
Project description:Despite the advent of neoadjuvant chemoradiotherapy (CRT), overall survival rates of esophagealadenocarcinoma(EAC) remain low. A readily induced mesenchymal transition of EAC cells contributes to resistance to CRT. In this study, we aimed to chart the heterogeneity in cell state transition after CRT and to identify its underpinnings. RNA-sequencing was performed on 100 pre-treatment biopsies. After RNA-sequencing, Ridge regression analysis was applied to correlate gene expression to ranked plasticity, and models were developed to predict mesenchymal transitions in patients. Plasticity score predictions of the three highest significant predictive models were projected on the pre-treatment biopsies and related to clinical outcome data. A motif enrichment analysis of the genes associated with all three models revealed NANOG as the key associated transcription factor. In accordance, expression of NANOG in pre-treatment biopsies was highly associated with poor response to neoadjuvant chemoradiation, the occurrence of recurrences, and median overall survival difference in EAC patients (>48 months).
Project description:The identification of surrogate methylation markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used InfiniumM-BM-. Methylation Assay to detail methylation status of patientM-bM-^@M-^Ys group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers. The chemoradiosensitivity of tumor tissue from the initial cohort of 45 patients was assessed using clinical responses of tumor regression grade (TRG). TRG was clinically categorized as complete response (CR) as TRG 1, dominant response (ER or finally as DR) as TRG 1 and 2, and efficient response (RYN or finally as ER) as TRG 1, 2, and 3 (TRG grade from Mandard et al, 1994). Examination of genome-wide DNA methylation in 45 colon cancer tissues. We separated patients into TRG1,2,3,4 and 5 group after chemoradiotherapy(CRT). As proposed by Mandard et al. TRG 1, complete tumor response; TRG2, residual cancer cells scattered through fibrosis; TRG 3, an increased number of residual cancer cells, with predominant fibrosis; TRG 4, residual cancer outgrowing fibrosis; and TRG 5, no regressive changes within the tumor: Responders (TRG 1 and 2) and nonresponders (TRG 3?5). Mandard et al. Cancer 1994 Group 1 and Group 2 in ER, CR and RYN was divided by TRG classification. CR: group 1 - TRG 2,3,4 and 5; group 2 - TRG 1 ER: group 1 - TRG 3,4,5; group 2 - TRG 1 and 2 RYN: group 1 - TRG 4 and 5; group 2 - TRG 1,2 and 3
Project description:Purpose: Adding losartan (LOS) to FOLFIRINOX (FFX) chemotherapy followed by chemoradiation (CRT) resulted in 61% R0 surgical resection in our phase II trial in patients with locally advanced pancreatic cancer (LAPC). Here we identify potential mechanisms of benefit by assessing the effects of neoadjuvant losartan on the stromal tumor microenvironment. Experimental Design: We performed a gene expression and immunofluorescence (IF) analysis using archived surgical samples from patients treated with LOS+FFX+CRT (NCT01821729), FFX+CRT (NCT01591733) or surgery upfront, without any neoadjuvant therapy. We also conducted a longitudinal analysis of multiple biomarkers in the plasma of treated patients. Results: In comparison to FFX+CRT, LOS+FFX+CRT downregulated immunosuppression and pro-invasion genes. Overall survival (OS) was associated with DC and antigen presentation genes for patients treated with FFX+CRT, and with immunosuppression and invasion genes or DC– and blood vessel-related genes for those treated with LOS+FFX+CRT. Furthermore, losartan induced specific changes in circulating levels of IL-8, sTie2 and TGF-. IF revealed significantly less residual disease in lesions treated with LOS+FFX+CRT. Lastly, patients with a complete/near complete pathological response in the LOS+FFX+CRT-treated group had reduced CD4+FOXP3+ regulatory T cells (Tregs), fewer immunosuppressive FOXP3+ cancer cells (C-FOXP3) and increased CD8+ T cells in PDAC lesions. Conclusions: Adding losartan to FFX+CRT reduced pro-invasion and immunosuppression related genes which were associated with improved survival in patients with LAPC. Lesions from responders in the LOS+FFX+CRT-treated group had reduced Tregs, decreased C-FOXP3 and increased CD8+ T cells. These findings suggest that losartan may potentiate the benefit of FFX+CRT by reducing immunosuppression.