Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human lung ADC and SCC comparsion study

ABSTRACT: Gene expression profiling comparing biological mechanisms for lymphatic metastases in lung adenocarcinoma and squamous cell carcinoma Two-condition comparison: primary invasive tumors (TN+), without lymph node metastasis (TN-), matched tumor cells in metastatic lymph nodes (MT) in ADC and SCC separately

ORGANISM(S): Homo sapiens

SUBMITTER: Hu Jiangting

PROVIDER: S-ECPF-GEOD-29827 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Human lung ADC and SCC comparsion study

Project description:Gene expression profiling comparing biological mechanisms for lymphatic metastases in lung adenocarcinoma and squamous cell carcinoma

2011-08-31 | GSE29827 | GEO

Human lung ADC and SCC comparsion study

Project description:Gene expression profiling comparing biological mechanisms for lymphatic metastases in lung adenocarcinoma and squamous cell carcinoma Two-condition comparison: primary invasive tumors (TN+), without lymph node metastasis (TN-), matched tumor cells in metastatic lymph nodes (MT) in ADC and SCC separately

2011-08-30 | E-GEOD-29827 | biostudies-arrayexpress

Transcriptional profile of lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC) tumors from KRasG12D; Fbw7f/f mice

Project description:We performed lung ADC and SCC transcriptome profiling from KRasG12D; Fbw7f/f murine lung tumors by RNA-seq and compared them with a consensus lung SCC signature using data from two different SCC models (Lkb1f/f; Ptenf/f, Cancer Cell 2014 and LSL-Sox2; Ptenf/f; Cdkn2abf/f, Cancer Cell 2016) that has been validated in human lung SCC

2019-01-08 | GSE123716 | GEO

Chinese lung ADC exon-level expression

Project description:Chinese lung adenocarcinomas exon-level expression

2017-06-10 | GSE74095 | GEO

Chinese lung ADC adjacent normal sample exon-level expression

Project description:Chinese lung ADC adjacent normal sample exon-level expression

2017-06-10 | GSE74116 | GEO

Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability.

Project description:PURPOSE:To determine the test-retest repeatability of Apparent Diffusion Coefficient (ADC) measurements across institutions and MRI vendors, plus investigate the effect of post-processing methodology on measurement precision. METHODS:Thirty malignant lung lesions >2 cm in size (23 patients) were scanned on two occasions, using echo-planar-Diffusion-Weighted (DW)-MRI to derive whole-tumour ADC (b?=?100, 500 and 800smm-2). Scanning was performed at 4 institutions (3 MRI vendors). Whole-tumour volumes-of-interest were copied from first visit onto second visit images and from one post-processing platform to an open-source platform, to assess ADC repeatability and cross-platform reproducibility. RESULTS:Whole-tumour ADC values ranged from 0.66-1.94x10-3mm2s-1 (mean?=?1.14). Within-patient coefficient-of-variation (wCV) was 7.1% (95% CI 5.7-9.6%), limits-of-agreement (LoA) -18.0 to 21.9%. Lesions >3 cm had improved repeatability: wCV 3.9% (95% CI 2.9-5.9%); and LoA -10.2 to 11.4%. Variability for lesions <3 cm was 2.46 times higher. ADC reproducibility across different post-processing platforms was excellent: Pearson's R2?=?0.99; CoV 2.8% (95% CI 2.3-3.4%); and LoA -7.4 to 8.0%. CONCLUSION:A free-breathing DW-MRI protocol for imaging malignant lung tumours achieved satisfactory within-patient repeatability and was robust to changes in post-processing software, justifying its use in multi-centre trials. For response evaluation in individual patients, a change in ADC >21.9% will reflect treatment-related change. KEY POINTS:• In lung cancer, free-breathing DWI-MRI produces acceptable images with evaluable ADC measurement. • ADC repeatability coefficient-of-variation is 7.1% for lung tumours >2 cm. • ADC repeatability coefficient-of-variation is 3.9% for lung tumours >3 cm. • ADC measurement precision is unaffected by the post-processing software used. • In multicentre trials, 22% increase in ADC indicates positive treatment response.

| S-EPMC6175053 | biostudies-literature

Gene expression profiling of tumor-adjacent histologically normal lung tissues from lung SCC patients

Project description:Tumor-adjacent noncancerous tissues often exhibited abnormalities on molecular levels, which is described as field effect of cancerization. Accumulated evidence demonstrated that filed effect may also play important role in cancer progression. In the present study, we found that the gene expression profile in noncancerous lung tissues adjacent to lung squamous cell carcinoma (SCC) was significantly associated with regional lymph node status of patients. Significance Analysis of Microarrays (SAM) showed that 121 genes were significantly associated with lymph node metastasis (delta=0.75, FDR=0.069). Interestingly, all of the significant genes were up-regulated in the lymph node positive samples. For these genes, the most significant biological GO terms were extracellular structure organization, cell adhesion, regulation of cell motion/migration, and vessel development, etc, which were also involved in EMT process supported by another experiment in vitro. Tumor-adjacent histologically normal lung tissues were collected from 60 primary lung SCC patients, of whom 34 (56.7%) suffered regional lymph node metastasis. Gene expression profiling analysis of these samples was performed using Agilent 4x44K human whole genome gene expression microarray (G4112F).

| S-ECPF-GEOD-40588 | biostudies-other

Chinese lung SCC exon-level expression

Project description:Chinese lung squamous cell carcinomas exon-level expression

2017-09-08 | GSE74115 | GEO