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Links from GEO DataSets

Items: 11

1.
Full record GDS1263

Dukes B colon cancer recurrence

Expression profiling of previously resected frozen primary tumors from patients with Dukes' stage B colon cancer that recurred in 5 years. Results identify potential prognostic markers for tumor relapse.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 disease state sets
Platform:
GPL2006
Series:
GSE2630
16 Samples
Download data: TIFF
DataSet
Accession:
GDS1263
ID:
1263
2.

Gene signature for relapse prediction in Dukes´B colon cancer

(Submitter supplied) Purpose: The benefit of postoperative adjuvant chemotherapy in patients with Dukes´ B colorectal cancer is still uncertain and its routine use is not recommended. The five years survival rate is approximately 75% and identification of the patients at high risk of recurrence would represent an important strategy for the use of adjuvant chemotherapy. In this study we identify new prognostic markers for tumor relapse in Dukes´ B colon cancer patients. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1263
Platform:
GPL2006
16 Samples
Download data: TIFF
Series
Accession:
GSE2630
ID:
200002630
3.

Gene expression signature and the prediction of recurrence in stage III colorectal cancer by DNA microarray

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 36 colorectal cancer patients. 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 molecular markers for predicting recurrence. Keywords: repeat
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
36 Samples
Download data
Series
Accession:
GSE4526
ID:
200004526
4.

Gene expression profiles of serous ovarian cancer samples

(Submitter supplied) To elucidate the mechanisms of rapid progression of serous ovarian cancer, gene expression profiles from forty-three ovarian cancer tissues comprising eight early stage and thirty-five advanced stage tissues were performed using oligonucleotide microarrays of 18,716 genes. By non-negative matrix factorization analysis using 178 genes, which were extracted as stage-specific genes, 35 advanced-stage cases were classified into two subclasses with superior (n = 17) and poor (n = 18) outcome evaluated by progression-free survival (logrank test, p = 0.03). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL887
53 Samples
Download data: TXT
Series
Accession:
GSE12470
ID:
200012470
5.

Prediction of Recurrence-Free Survival in Postoperative NSCLC Patients—a Useful Prospective Clinical Practice

(Submitter supplied) Background: One of the main fields of lung cancer research is identifying patients who are at high risk of post-resection recurrence. Individual recurrence risk evaluation by accurate but simple and reproducible method is needed for the clinical practice. Results: The log-rank test and further selection by our criteria of assayability generated 87 genes from microarray data with significant level 5%. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
138 Samples
Download data
Series
Accession:
GSE8894
ID:
200008894
6.

Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis

(Submitter supplied) We identified a relapse-related molecular signature represented by 82 probes (RRS-82) through genome-wide expression profiling analysis of a training set of 60 patients. The robustness of RRS-82 in the selection of patients with a high probability of relapse was then validated with a completely blinded test set of 27 adenocarcinoma patients, showing a clear association of high risk RRS-82 with very poor patient prognosis regardless of disease stage. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
117 Samples
Download data: TXT
Series
Accession:
GSE13213
ID:
200013213
7.

Expression profiling defines a recurrence signature in lung adenocarcinoma

(Submitter supplied) Lung cancer remains the leading cause of cancer death worldwide. Overall 5-year survival is about 10-15% and despite curative intent surgery, treatment failure is primarily due to recurrent disease. Conventional prognostic markers are unable to determine which patients with completely resected disease within each stage group are likely to relapse. To identify a gene signature associated with recurrent adenocarcinoma (AC) of lung, we analyzed primary tumour gene expression for a total of 48 stage I ACs on 22,323 element microarrays, comparing expression profiles for individuals who remained disease-free for a minimum of 36 months with those from individuals whose disease recurred within 18 months of complete resection. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3877
48 Samples
Download data
Series
Accession:
GSE5843
ID:
200005843
8.

Identification of cholangiocarcinoma-like gene expression traits in hepatocellular carcinoma

(Submitter supplied) We performed gene expression profiling of hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and mixed type of combined HCC and CC (CHC). In comparison of the profiles, a novel class of HCC expressing CC-like traits was identified.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL571
90 Samples
Download data: CEL
Series
Accession:
GSE15765
ID:
200015765
9.

Correlation of molecular profiles and clinical outcome of stage UICC II colon cancer patients

(Submitter supplied) Background Published multi-gene classifiers suggested outcome prediction for patients with stage UICC II colon cancer based on different gene expression signatures. However, there is currently no translation of these classifiers for application in routine diagnostic. Therefore, we aimed at validating own and published gene expression signatures employing methods which enable RNA and protein detection in routine diagnostic specimens. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4513
Platform:
GPL570
53 Samples
Download data: CEL
Series
Accession:
GSE18088
ID:
200018088
10.
Full record GDS4513

Clinical outcome of stage UICC II colon cancer patients

Analysis of tumor cells from sporadic stage UICC II colon cancer patients who were treated by elective standard oncological resection but developed relapse during follow-up. Results provide insight into the challenges of constructing molecular signatures predictive for patient outcome.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 disease state, 2 other sets
Platform:
GPL570
Series:
GSE18088
53 Samples
Download data: CEL
DataSet
Accession:
GDS4513
ID:
4513
11.

Deciphering cellular states of innate tumor drug responses

(Submitter supplied) Clinical drug resistance is one major concern in the treatment of human cancers, most of them being found resistant to therapy at the time of drug presentation. Deciphering the molecular mechanisms that contribute to such innate drug resistance should improve both the prediction of treatment failure and the development of new strategies to overcome resistance. Our study reports for the first time a systems approach toward understanding the in vivo cellular states of clinical samples collected from colorectal cancer (CRC) patients prior to their exposure to combined chemotherapy of folinic acid (FA), 5-fluorouracil (5-FU) and irinotecan (CPT-11). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3282
60 Samples
Download data
Series
Accession:
GSE3964
ID:
200003964
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