Project description:Colorectal cancer (CRC) is the third most common lethal malignancy in Korea and worldwide. Rectal cancer patients occupy about 30% of CRC patients, and the majority of rectal cancer patients had locally advanced disease at diagnosis. The standard treatment of locally advanced rectal cancer (LARC) is neoadjuvant radiation therapy with concurrent chemotherapy (CCRT) followed by total mesorectal excision (TME). This multidisciplinary team approach improved local tumor control and overall survival of rectal cancer patients. High throughput proteomic analysis and machine learning algorithm identify DUOX2 (dual oxidase 2) as a novel biomarker for prediction of non-complete response after concurrent chemoradiation therapy for rectal cancer.High throughput proteomic analysis and machine learning algorithm identify DUOX2 (dual oxidase 2) as a novel biomarker for prediction of non-complete response after concurrent chemoradiation therapy for rectal cancer.
Project description:Peripheral blood mononuclear cells have emerged recently as pathology markers of cancer and other diseases, making possible their use as therapy predictors. Furthermore, the importance of the immune response in radiosensivity of solid organs led us to hypothesized that microarray gene expression profiling of peripheral blood mononuclear cells could identify patients with response to chemoradiation in rectal cancer. 27 patients with locally advanced rectal cancer were recruited initially to perform the study. Peripheral blood samples were obtained before neaodjuvant treatment. RNA was extracted and purified to obtain cDNA and cRNA for hybridization of microarrays included in Human WG CodeLink bioarrays. Quantitative real time PCR was used to validate microarray experiment data. Results were correlated with pathological response, according to Mandard´s criteria and final UICC Stage (patients with tumor regression grade 1-2 and downstaging being defined as responders and patients with grade 3-5 and no downstaging as non-responders).
Project description:Objective: Insights about differences in tumor vasculature and how it reacts to VEGF inhibition is limited, but nevertheless of major relevance to anti-angiogenic therapy. In this study we therefore characterize the effect of bevacizumab combined with chemoradiotherapy (CRT), and explore molecular and genetic markers for response prediction to this combination treatment. Material and Methods: In an academic multicentric randomized phase II study, patients with advanced rectal cancer have been treated with bevacizumab (5mg/kg) in combination with capecitabine (1650mg/m2/day) and radiotherapy (45Gy; 1.8Gy/day) with (50mg/m2) or without oxaliplatin prior to surgery. Of 59 patients, tumor tissue and blood samples were collected before treatment and after the first loading dose of bevacizumab but before CRT (week 3). First, cDNA micro-arrays were performed on the biopsies to investigate differences in gene expression of tumors from patients with and without a pathological complete response (pCR) before start of treatment and to identify biological processes affected by bevacizumab delivery. The paraffin embedded tissue was stained for blood vessels (CD31/CD34) combined with α-SMA (pericytes) and CA-IX (hypoxia). To explore candidate blood-based biomarkers ELISAâs were performed for PDGF-AA, PDGF-BB, THBS-1, IL-8, CYR61 and Ang-2. The expression of all markers was correlated with the pathological response of the patients. Results: Differences in tumoral gene expression are observed between patients with and without a pCR, with the first response group presenting a more angiogenic phenotype before start of treatment and changes in angiogenic processes after bevacizumab delivery. One dose of bevacizumab leads to a decrease in the number of pericyte covered blood vessels, a decrease in circulating PDGF-AA, PDGF-BB and Thrombospondin-1. Patients showing a pCR having less pericyte covered blood vessels, more hypoxia, and less circulating PDGF-BB compared to patients who did not have a pCR after bevacizumab treatment with chemoradiation and bevacizumab. Conclusions: The translational data demonstrate that tumors with an angiogenic expression profile respond better to bevacizumab combined with CRT and points towards a possible role for PDGF, CA-IX and pericyte covered blood vessels for the early response prediction to this treatment. Our findings suggest a role for mural cell recruitment and vessel maturation for the susceptibility of the tumor vasculature to bevacizumab treatment. Further validation of our biological observations and hypothesis generating data in randomized trials is needed. This study involves samples of patients enrolled in the AXEbeam trail that were analysed by Primeview microarray (Affymetrix). Biopsies were taken at two different timepoints: before treatment (tumor and normal mucosa) and after the first loading dose of bevacizumab but before chemoradiation (only tumor, week 3). Patients were classified into two groups: with a complete pathological response at time of surgery (Responders=R) or non-responders (NR). For the responders, we collected 21 samples in total (7 tumor samples and 8 normal mucosa samples taken before treatment and 6 tumor samples collected at week 3). From the non-responders we had 26 samples in total (9 tumor and 10 mucosa samples before treatment and 7 tumor samples at week 3 after a single dose of bevacizumab). Microarrays were run in two batches (15xxx versus 16xxx CEL file samples; indicated in the description field). Three samples (NJ 04/003 T1, RVS 09/002 M and NJ 04/003 W3) were put twice on the array (15897+16789; 15893+16790; 15898+16791) to verify and exclude batch effects. Please note that, due to these three technical repeats the total number of microarray CEL files is 50 (21 Responders, 26 Non-responders and 3 repeats).
Project description:The treatment strategy of rectal cancer has substantially changed in recent decades. Historically postoperative chemoradiotherapy (CRT) was considered to be the first-line therapy for stage II and III rectal cancers. However, the preoperative CRT is now considered to be the optimal therapy regimen for locally advanced rectal ancer due to its improved local control, reduced toxicity, and increased rate of sphincter preservation. Our study established a clinically practical multi-class prediction model by adopting a novel strategy that applies two separate prediction models (MI and TO predictor) sequentially to a patient to predict the response. For promising clinical practice, we validated our model in a published dataset, which is completely independent dataset from ours. This study suggests a clinically plausible prediction model that correctly infers the preoperative CRT response of patients with high accuracy based on 163 gene signatures we identified. Total RNAs were isolated from primary rectal tumor tissues of 69 patients who underwent chemoradiation therapy (CRT). These patients are classified into four different CRT responses: minimal response (MI), moderate response (MO), near total response (NT) and total response (TO). All the RNAs were subjected to microarray analysis using Affymetrix GenChip arrays.
Project description:Neoadjuvant chemoradiation therapy (CRT) is a widely used preoperative treatment strategy for locally advanced rectal cancer (LARC). However, a few studies have evaluated the molecular changes caused by neoadjuvant CRT in these cancer tissues. Here, we aimed to investigate changes in immunotherapy-related immunogenic effects in response to preoperative CRT in LARC. We analyzed 60 pairs of human LARC tissues before and after irradiation from three independent LARC cohorts, including a LARC patient RNA sequencing (RNA-seq) dataset from our cohort and GSE15781 and GSE94104 datasets. Gene ontology analysis showed that preoperative CRT significantly enriched the immune response in LARC tissues. Moreover, gene set enrichment analysis revealed six significantly enriched Kyoto Encyclopedia of Genes and Genomes pathways associated with downregulated genes, including mismatch repair (MMR) genes, in LARC tissues after CRT in all three cohorts. Radiation also induced apoptosis and downregulated various MMR system-related genes in three colorectal cancer cells. One patient with LARC showed a change in microsatellite instability (MSI) status after CRT, as demonstrated by the loss of MMR protein and PCR for MSI. Moreover, CRT significantly increased tumor mutational burden in LARC tissues. CIBERSORT analysis revealed that the proportions of M2 macrophages and CD8 T cells were significantly increased after CRT in both the RNA-seq dataset and GSE94104. Notably, preoperative CRT increased various immune biomarker scores, such as the interferon-γ signature, the cytolytic activity and the immune signature. Taken together, our findings demonstrated that neoadjuvant CRT modulated the immune-related characteristics of LARC, suggesting that neoadjuvant CRT may enhance the responsiveness of LARC to immunotherapy.
Project description:Analysis of peripheral circulating mRNA expression levels in patients undergoing neoadjuvant chemoradiation for esophageal squamous cell carcinoma. The hypothesis test was that chemoradiation alters the circulating mRNA expression profiles and the profiling is predictive of pathological response. Results provide information on the response of circulating mRNAs to chemoradiation and identify novel biomarkers or targets in esophageal squamous cell carcinoma.
Project description:Analysis of peripheral circulating mRNA expression levels in patients undergoing neoadjuvant chemoradiation for esophageal squamous cell carcinoma. The hypothesis test was that chemoradiation alters the circulating mRNA expression profiles and the profiling is predictive of pathological response. Results provide information on the response of circulating mRNAs to chemoradiation and identify novel biomarkers or targets in esophageal squamous cell carcinoma. Total RNA obtained from peripheral whole blood before and after neoadjuvant chemoradiation in patients with esophageal squamous cell carcinoma. 21 patients with 42 samples were analyzed. The expression profiles from pathological complete responders were compared to non-complete responders.
Project description:Background: Human papillomavirus has been shown to have a causal role in the development of head and neck squamous cell carcinoma and represents a distinct and well-defined pathology. While HPV-positive HNSCC is associated with a better response to treatment and prognosis, a subset of patients do not respond favorably to current standard of care thus suffering unnecessary morbidity and delay to receive effective therapy. Methods: RNA from nineteen patients with HPV-positive HNSCC was subjected to gene expression analysis using Affymetrix microarrays. HPV-status was confirmed by detection of HPV16 E7 with RT-PCR. Results: In addition to specific genetic biomarkers (including LCE3D, KRTDAP, HMOX1, KRT19, MDK, TSPAN1), differentially expressed genes were highly represented in the cell processes of genomic stability, cell cycle, and DNA damage. Conclusions: This pilot study suggests possible biomarkers that predict response to chemoradiation therapy. These data can potentially lead to an assay that can be used clinically to predict HPV-positive HNSCC patients that will not benefit from chemoradiation, thus helping clinicians to lower morbidity and get selected patients to surgery faster.
Project description:Background: Human papillomavirus has been shown to have a causal role in the development of head and neck squamous cell carcinoma and represents a distinct and well-defined pathology. While HPV-positive HNSCC is associated with a better response to treatment and prognosis, a subset of patients do not respond favorably to current standard of care thus suffering unnecessary morbidity and delay to receive effective therapy. Methods: RNA from nineteen patients with HPV-positive HNSCC was subjected to gene expression analysis using Affymetrix microarrays. HPV-status was confirmed by detection of HPV16 E7 with RT-PCR. Results: In addition to specific genetic biomarkers (including LCE3D, KRTDAP, HMOX1, KRT19, MDK, TSPAN1), differentially expressed genes were highly represented in the cell processes of genomic stability, cell cycle, and DNA damage. Conclusions: This pilot study suggests possible biomarkers that predict response to chemoradiation therapy. These data can potentially lead to an assay that can be used clinically to predict HPV-positive HNSCC patients that will not benefit from chemoradiation, thus helping clinicians to lower morbidity and get selected patients to surgery faster. HPV-positive head and neck squamous cell carcinoma (HNSCC) has a good prognosis with a large percentage of patients responding to therapy. However, a certain percentage of patients do not respond. Gene expression data from Affymetrix Human Exon 1.0ST microarrays was utilized to compare patients that responded to therapy with those that did not respond.