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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

PROVIDER: PRJNA743008 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR15014000_1.fastq.gz	Fastqsanger.gz
	SRR15014000_2.fastq.gz	Fastqsanger.gz
	SRR15014001_1.fastq.gz	Fastqsanger.gz
	SRR15014001_2.fastq.gz	Fastqsanger.gz
	SRR15014002_1.fastq.gz	Fastqsanger.gz

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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

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Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different ferroptosis-related-scores

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A Tumour-Resident Lgr5+ Stem Cell - Like Pool Drives the Establishment and Progression of Advanced Gastric Cancers

Project description:Gastric cancer is amongst the most prevalent and deadliest cancers globally. To derive mechanistic insight into the pathways governing this disease, we generated a stomach-specific Claudin18-IRES-CreERT2 mouse line to model advanced human gastric cancer and investigated the role of tumour resident Lgr5+ stem-like cells in gastric cancer. Mouse lines incorporating Cldn18-driven conditional dysregulation of the Wnt, RTK and Trp53 pathways modelled metastatic Chromosomal Instable-type gastric cancer. In parallel, we supplemented these cancer models with orthotopic transplantation of cancer organoids to derive detailed mechanistic insight into the roles of Lgr5+ cancer stem cell in gastric cancer. Here we show, we recapitulated advanced human gastric cancer in terms of disease phenotype, aberrant gene expression profile, molecular markers, and sites of distant metastases. Importantly, we established that tumour-resident Lgr5+ stem-like cells are critical to the initiation and maintenance of tumour burden, and are obligatory for the establishment of metastases. These models will be invaluable for deriving clinically-relevant mechanistic insights into cancer progression and as pre-clinical models for evaluating novel therapeutics.

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Intra-tumour heterogeneity of Diffuse Large B-cell Lymphoma involves the induction of diversified stroma-tumour interfaces

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Methylation profiling blood, adjacent benign and multiple discrete tumour samples from locally advanced prostate cancers.

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Tumour-stroma ratio and prognosis in gastric adenocarcinoma.

Project description:BackgroundTumour microenvironment, including tumour-stroma ratio (TSR), might help identifying high-risk cancer patients. However, the significance of TSR in gastric cancer is unclear, especially in the intestinal and diffuse subtypes. The aim of this study was to investigate the tumour-stroma ratio in gastric adenocarcinoma, and its intestinal and diffuse histological subtypes, in relation to prognosis.MethodsFive hundred and eighty-three gastric adenocarcinoma patients who underwent surgery in Oulu University hospital during years 1983-2016 were included in this retrospective cohort study. TSR was analysed from the slides that were originally used for diagnostic purposes. Patients were divided into stroma-poor (≤50% stroma) and stroma-rich (>50% stroma) groups and TSR was analysed in relation to 5-year mortality and overall mortality.ResultsPatients with stroma-rich tumours had worse 5-year prognosis (HR 1.80, 95% CI 1.41-2.28) compared to stroma-poor tumours. Stratified analysis showed that stroma-rich tumours had worse 5-year prognosis in both intestinal (HR 1.68, 95% CI 1.24-2.27) and diffuse histological types (HR 2.09, 95% CI 1.35-3.23) compared to stroma-poor tumours, respectively.ConclusionsHigh proportion of stroma is an independent prognostic factor in both intestinal and diffuse histological subtypes of gastric adenocarcinoma.

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Gastric cancer nodal tumour-stroma ratios influence prognosis.

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A Tumour-Resident Lgr5+ Stem Cell - Like Pool Drives the Establishment and Progression of Advanced Gastric Cancers

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