Ontology highlight
ABSTRACT:
PROVIDER: PRJNA879303 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21529600_1.fastq.gz | Fastqsanger.gz | |||
| SRR21529600_2.fastq.gz | Fastqsanger.gz | |||
| SRR21529601_1.fastq.gz | Fastqsanger.gz | |||
| SRR21529601_2.fastq.gz | Fastqsanger.gz | |||
| SRR21529602_1.fastq.gz | Fastqsanger.gz |
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Project description:Circulating monocytes are main source for tumor-associated macrophages (TAMs) that control tumor growth, angiogenesis, metastasis and therapy resistance. We raised the questions how monocyte programming is affected by growing tumors localized in colon and rectal sections, and how treatment onsets affect monocyte programming in the circulation. Patients with rectal cancer and colon cancer were enrolled in the study. Peripheral blood monocytes were characterized by transcriptomic analysis using RNA sequencing. NGS analysis identified tumor-specific transcriptional programming of monocytes in all CRC patients compared to healthy individuals. The analysis also identified difference between colon and rectal cancer monocytes and chemotherapy effects on monocyte profile in rectal cancer.
2022-12-31 | GSE221925 | GEO
Project description:Purpose: MicroRNAs play a prominent role in a variety of physiological and pathological biological processes, including cancer. For rectal cancers, only limited data are available on microRNA expression profiles, while the underlying genomic and transcriptomic aberrations have been firmly established. We therefore aimed to comprehensively map the microRNA expression patterns of this disease. Experimental design: Tumor biopsies and corresponding matched mucosa samples were prospectively collected from 72 patients (68 tumors and 70 normal mucosa) with locally advanced rectal cancers. Total RNA was extracted, and tumor and mucosa microRNA expression profiles were subsequently established for all patients. The expression of selected microRNAs was validated using semi-quantitative real-time PCR. Results: Forty-nine microRNAs were significantly differentially expressed (log2-fold difference >0.5 and P<0.001) between rectal cancer and normal rectal mucosa. The predicted targets for the identified microRNAs were enriched for the following KEGG pathways: Wnt, TGF-beta, mTOR, insulin, MAPK, and ErbB signaling. Between rectal tumor and normal tissue, miR-492, miR-542-5p, miR-584, miR-483-5p, miR-144, miR-2110, miR-652*, miR-375, miR-147b, miR-148a, miR-190, miR-26a/b, and miR-338-3p were found to be differentially expressed. Of clinical impact, miR-135b expression correlated significantly with overall survival that could be validated in a larger multicenter patient set (n=94). Conclusion: The comprehensive analysis of the rectal cancer microRNAome uncovered novel microRNAs and pathways associated with rectal cancer. This information contributes to a detailed view of rectal cancer. The identification and validation of miR-135b will help to identify novel molecular targets and pathways for therapeutic exploitation. Paired samples from rectal tumor and matched normal samples. Included are also 2 technical replicates.
2012-10-05 | E-GEOD-38389 | biostudies-arrayexpress
Project description:Circulating monocytes are main source for tumor-associated macrophages (TAMs) that control tumor growth, angiogenesis, metastasis and therapy resistance. We raised the questions how monocyte programming is affected by growing tumors localized in colon and rectal sections, and how treatment onsets affect monocyte programming in the circulation. Patients with rectal cancer and colon cancer were enrolled in the study. Spatial transcriptomic analysis was applied using GeoMX DSP-NGS. The key transcriptional difference between monocytes of patients with colon and rectal cancer was increased expression of PFKFB3, activator of glycolysis that is currently considered as therapy target for major solid cancers. PFKFB3-expressing monocyte-derived macrophages massively infiltrated tumor in colon. Nanostring technology identified correlation of PFKFB3 with amount and tumor-promoting properties of TAMs in colon but not in rectal cancer.
2022-12-31 | GSE221924 | GEO
Project description:Purpose: MicroRNAs play a prominent role in a variety of physiological and pathological biological processes, including cancer. For rectal cancers, only limited data are available on microRNA expression profiles, while the underlying genomic and transcriptomic aberrations have been firmly established. We therefore aimed to comprehensively map the microRNA expression patterns of this disease. Experimental design: Tumor biopsies and corresponding matched mucosa samples were prospectively collected from 72 patients (68 tumors and 70 normal mucosa) with locally advanced rectal cancers. Total RNA was extracted, and tumor and mucosa microRNA expression profiles were subsequently established for all patients. The expression of selected microRNAs was validated using semi-quantitative real-time PCR. Results: Forty-nine microRNAs were significantly differentially expressed (log2-fold difference >0.5 and P<0.001) between rectal cancer and normal rectal mucosa. The predicted targets for the identified microRNAs were enriched for the following KEGG pathways: Wnt, TGF-beta, mTOR, insulin, MAPK, and ErbB signaling. Between rectal tumor and normal tissue, miR-492, miR-542-5p, miR-584, miR-483-5p, miR-144, miR-2110, miR-652*, miR-375, miR-147b, miR-148a, miR-190, miR-26a/b, and miR-338-3p were found to be differentially expressed. Of clinical impact, miR-135b expression correlated significantly with overall survival that could be validated in a larger multicenter patient set (n=94). Conclusion: The comprehensive analysis of the rectal cancer microRNAome uncovered novel microRNAs and pathways associated with rectal cancer. This information contributes to a detailed view of rectal cancer. The identification and validation of miR-135b will help to identify novel molecular targets and pathways for therapeutic exploitation.
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Project description:Samples were prospectively collected during colonoscopic examination from 46 rectal cancer patients before starting preoperative chemoradiotherapy. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for prediction of the response to radiotherapy in rectal cancer. Specimens from 46 rectal cancer patients who approved to receive preoperative chemoradiotherapy were studied. We prospectively collected biopsy specimens during colonoscopic examination from rectal cancer before starting preoperative chemoradiotherapy. Specimens from tumors were snap-frozen in liquid nitrogen and stored at -80 C until use. Paralleled tumor specimens were formalin fixed and paraffin embedded for histologic examination and other specimens were used for RNA extraction. RNA was extracted from tumor tissue using frozen samples. The patients provided written, informed consent to the collection of specimens, and the local Ethics Committee approved the study protocol. All patients received a total dose of 50.4 Gy of radiation, UFT(300-500mg/day) and LV (75mg/day) and underwent standardized curative resection, following an interval of 4 weeks after chemoradiotherapy.
2013-01-29 | E-GEOD-35452 | biostudies-arrayexpress
Project description:Gene expression profiles were recorded from rectal suction specimens of Cystic Fibrosis (CF) patients, carrying the CF-specific D508 mutated CFTR-allele. These profiles were compared with gene expression profiles from rectal suction specimens of non-CF subjects (control). We used Affymetrix GeneChip HG-U133A microarrays to record the gene expression profile of 16 CF and 13 non-CF individuals. Rectal suction specimens representing rectal mucosal epithelia were collected from CF patients and non-CF individuals. Biopsies were analyzed for residual function using ICM and total RNA was isolation immediately using the Qiagen RNeasy protocol with on column DNA digestion. About 1-5 µg RNA were obtained from each individual. Integrity of total RNA samples was monitored by gel-electrophoresis before cDNA synthesis. Labeled cRNA synthesis and hybridization was performed following standard protocols.
2013-11-28 | E-GEOD-15568 | biostudies-arrayexpress
Project description:Most patients with locally advanced rectal cancer (LARC) present incomplete pathological response (pIR) to neoadjuvant chemoradiotherapy (nCRT). Despite the efforts to predict treatment response using tumor-molecular features, as differentially expressed genes, no molecule has proved to be a strong biomarker. The tumor secretome analysis is a promising strategy for biomarkers identification, which can be assessed using transcriptomic data. Here, we performed transcriptomic-based secretome analysis to select potentially secreted proteins using an in silico approach. The tumor expression profile of 28 LARC biopsies carefully selected and collected before nCRT was compared with normal rectal tissues (NT). The expression profile showed no significant differences between cases with complete (pCR) and incomplete response to nCRT. Genes with increased expression (pCR = 106 and pIR = 357) were used for secretome analysis based on public databases (Vesiclepedia, Human Cancer Secretome Database and Plasma and Proteome Database). Seventeen potentially secreted candidates (pCR=1, pIR=13 and 3 in both groups) were further investigated in two independent datasets (TCGA and GSE68204) confirming their over-expression in LARC. The potential secreted biomarkers were also confirmed as associated with the nCRT response (GSE68204). These putative proteins are candidates to be assessed in liquid biopsies aiming a personalized treatment in LARC patients.
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Project description:Emerging evidence suggests that an increased density of pre-treatment CD8+ tumor-infiltrating lymphocytes (TILs) is associated with good response to chemoradiotherapy (CRT) in patients with locally advanced rectal cancer. However, the significance of T-cell complexity in the clinical setting remains unknown. High-throughput T-cell receptor (TCR) β sequencing was applied to quantify the TCR repertoire of pre-treatment biopsies from 67 patients with advanced rectal cancer receiving preoperative CRT. Changes in TCR repertoire before and after CRT were also analysed in 23 patients.
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2011-12-12 | E-GEOD-26027 | biostudies-arrayexpress