Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Changes in Gut Microbiota During Neoadjuvant Chemoradiation Therapy in Patients with Locally Advanced Rectal Cancer

PROVIDER: PRJNA1187286 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR31372700_1.fastq.gz	Fastqsanger.gz
	SRR31372700_2.fastq.gz	Fastqsanger.gz
	SRR31372701_1.fastq.gz	Fastqsanger.gz
	SRR31372701_2.fastq.gz	Fastqsanger.gz
	SRR31372675_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 54

Similar Datasets

High-throughput proteomic analysis of rectal cancer for prediction of non-complete response after concurrent chemoradiation therapy

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.

2023-03-11 | PXD023302 | Pride

Predicting multi-class responses to preoperative chemoradiotherapy in rectal patients

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.

2013-05-14 | E-GEOD-46862 | biostudies-arrayexpress

Neoadjuvant chemoradiation alters biomarkers of anticancer immunotherapy responses in locally advanced rectal cancer

Project description:Neoadjuvant chemoradiation alters biomarkers of anticancer immunotherapy responses in locally advanced rectal cancer

| PRJNA976474 | ENA

Proteomic Analysis to Identify Markers for Response to Neoadjuvant Treatment in Esophageal and Gastroesophageal Cancer

Project description:Background and Purpose: The current standard of care for locally advanced esophageal and gastroesophageal junctional cancer is neoadjuvant chemoradiation (NCRT) followed by surgery. The genomic and proteomic pathways responsible for response to neoadjuvant chemoradiation are sparsely described, and thus response to treatment cannot be reliably predicted. In this study, we performed an in-depth proteomic analysis of esophageal and gastroesophageal tumors, to describe differences in pathway activation between patients with good and poor prognosis following neoadjuvant chemoradiation. Materials and Methods: This study included locally advanced esophageal and gastroesophageal cancer patients treated with NCRT. The study cohort was dichotomized into two groups of patients- good prognosis (GP) and bad prognosis (BP) according to the post-operative disease-free interval. We performed a mass spectrometry analysis of proteins extracted from the malignant regions of surgical specimens and analyzed data from electronic medical records. Clinical data was correlated with differences in protein expression between GP and BP using validated gene expression pathways. Results: The study included thirty-five patients with adenocarcinoma. GP and BP had statistically significant differences in protein expression patterns. GP exhibited differential enrichment of pathways related to cellular respiration, oxidative phosphorylation and proteins of the RAS oncogene family. Conclusion: In this study we identify enrichment of pathways related to oxidative phosphorylation and RAS oncogene pathway in esophageal cancer patients with a favorable response to NCRT. Larger transcriptomic studies are warranted to portray potential surrogate signature of biomarkers based upon these potential pathways.

2022-05-20 | PXD025192 | Pride

Transcriptional analysis of locally advanced rectal cancer pre-therapeutic biopsies and post-therapeutic resections

Project description:Understanding transcriptional changes in locally advanced rectal cancer which are therapy-related and dependent upon tumour regression will drive stratified medicine in the rectal cancer paradigm

2018-11-01 | GSE94104 | GEO

Predicting response to chemotherapy in rectal cancer

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.

2018-03-12 | PXD008436 | Pride

Locally Advanced Rectal Cancer - Radiation Response Prediction Study - Serum Proteins

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.

2016-04-21 | GSE65622 | GEO

Hypermethylation and downregulation of UTP6 are associated with stemness properties, chemoradiotherapy resistance and prognosis in rectal cancer: A co-expression network analysis

Project description:To measure global gene expression in primary locally advanced rectal cancer patients who have undergone CRT and screen valuable biomarkers to predict the effects of CRT.Samples fromprimary locally advanced rectal cancer patients were collected. The effects of chemoradiotherapy were evaluated.

2021-06-04 | GSE145037 | GEO

Microarray profiling of mononuclear peripheral blood cells to identify novel candidate genes related to chemoradiation response in 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).

2013-02-22 | GSE44172 | GEO

microRNA profiling for prediction of chemoradiation efficacy in locally advanced head and neck squamous cell carcinoma

Project description:The predictive value of microRNAs for the efficacy of chemoradiation (CRTX) in locally advanced head and neck squamous cell carcinoma (HNSCC) was evaluated. Formalin-fixed, paraffin-embedded tumor material was collected from patients with locally advanced HNSCC treated within the ARO-0401 phase III trial with radiotherapy in combination with either 5-fluorouracil/cisplatin (CDDP-CRTX) or 5-fluorouracil/mitomycin C (MMC-CRTX).

2017-03-30 | E-MTAB-5198 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data