Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Array-based transcriptomic analysis of human hepatocarcinomas of different histological grades versus non-tumorous liver tissues

ABSTRACT: Gene expression profiling was performed to analyse human hepatocarcinomas (HCCs) of different histological grades and tumor-adjacent non-neoplastic liver tissues (FFPE samples from surgical specimens). Genes differently expressed in tumors versus adjacent non-neoplastic tissues were used for following bioinformatic analyses.

ORGANISM(S): Homo sapiens

SUBMITTER: Tatiana Meier

PROVIDER: E-MTAB-8887 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene networks and transcriptional regulators associated with liver cancer development and progression.

Meier Tatiana T Timm Max M Montani Matteo M Wilkens Ludwig L

BMC medical genomics 20210204 1

<h4>Background</h4>Treatment options for hepatocellular carcinoma (HCC) are limited, and overall survival is poor. Despite the high frequency of this malignoma, its basic disease mechanisms are poorly understood. Therefore, the aim of this study was to use different methodological approaches and combine the results to improve our knowledge on the development and progression of HCC.<h4>Methods</h4>Twenty-three HCC samples were characterized by histological, morphometric and cytogenetic analyses, ...[more]

PMID: 33541355

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Project description:Using Human WG CodeLink microarrays, we established the expression profiling of 26 LARC without metastasis to gain insight into the molecular signatures associated with response to treatment after CRT. The study initially included a total of 35 consecutive patients with locally advanced rectal cancer (LARC) treated at Virgen de las Nieves Hospital from 2008 until 2010. Written informed consent was obtained from all the patients, and the study protocol was approved by the local Clinical Research (Ethics) Committee. They were distributed in two subgroups following a histological classification of response to treatment. Pretherapeutic staging was performed, including complete medical history and physical evaluation, digital rectal examination, endorectal ultrasound, rigid rectoscopy, colonoscopy, PET/TC and chest x-ray. Tumor samples were prospectively obtained during the rectoscopy. All patients subsequently received a total dose of 50.4Gy of radiatio (28 fractions of 1.8Gy) associated with capecitabine or capecitabine and oxaliplatine. Standardized surgery was performed, including total mesorectal excision, after an interval of 8 weeks after chemoradiotherapy. Tumor response was assessed in surgical specimen by semi-quantitative pathological examination (regression grade) including UICC stage. Histopathological tumor regression was graded based on the semiquantitative 5 point tumor regression grading (TRG) system: TRG1 or a TRG2 scores were considered Responders, whereas TRG3, TRG4, and TRG5 scores were classified as Non-Responders. In addition, the tumor regression or radiotherapy effects were assessed by positron emission tomography (18F-FDG PET). Tumor samples of LARC were collected from 35 patients. Nine patients were finally excluded due to the poor quality of the RNA or contradictory results of MandardM-BM-4s criteria and histopathological downstaging, resulting a total of 26 patients. Complete clinical data regarding, age, sex, stage of disease, response to therapy, and overall survival from 26 patients (10 responders and 16 non-responders) was provided in the sample characteristics field. CRT: Chemoradiation; Cap: Capecitabine; Capox: Capecitabine and Oxaliplatine; cTN: clinical stage; Surg: surgical technique; LAR: Low anterior resection; APR: Abdmino-perineal resection; HART: Hartmann, TRG: Tumor Regression Grade; Downst: Downstaging; Downs: downsizing, Resp: response, CPR: complete pathologic response

Dataset Information

Array-based transcriptomic analysis of human hepatocarcinomas of different histological grades versus non-tumorous liver tissues

Publications

Gene networks and transcriptional regulators associated with liver cancer development and progression.

Similar Datasets

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