Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Gene expression profiles of cervical cancers for novel molecular classification


ABSTRACT: Cervical cancers is the second most malignancy in women. It has been clinically important histological variants such as squamous cell carcinoma (SCC) and adenocarcinoma (AC) and adenosquamous carcinomas (ASC). It has been postulated that AC and ASC has a worse prognosis than pure SCC. However, many of the mixed or other types confuses its diagnosis and aggressive/resistant behavior of some tumors has resulted in debate for prognostic role of empirical pathological classification. In addition, the prognosis of adenosquamous carcinoma is still under debate. To establish a novel molecular classification of cervical cancer, we investigated intrinsic characteristics using expression profile. A total of 80 cevical cancer samples of following histology were included in this study: 54 SCC, 18 ASC, 6 AC, and 2 others. Replicate number: 2. No control/no reference sample was included. One-color.

ORGANISM(S): Homo sapiens

SUBMITTER: Shuhei Noda 

PROVIDER: E-GEOD-20167 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Subtypes of cervical adenosquamous carcinomas classified by EpCAM expression related to radiosensitivity.

Imadome Kaori K   Iwakawa Mayumi M   Nakawatari Miyako M   Fujita Hidetoshi H   Kato Shingo S   Ohno Tatsuya T   Nakamura Etsuko E   Ohkubo Yu Y   Tamaki Tomoaki T   Kiyohara Hiroki H   Imai Takashi T  

Cancer biology & therapy 20101115 10


Adenosquamous carcinoma (ASC) is a relatively uncommon histological subtype of cervical cancer (CC). A point of controversy is the relative prognosis of ASC compared to squamous cell carcinoma (SCC). We hypothesized that ASC could be classified into two intrinsic molecular subtypes with different outcomes. We examined 143 biopsy samples of CC patients to identify a molecule for classification using microarray expression analysis and immunohistochemical analysis (IHA). We found specific expressio  ...[more]

Similar Datasets

2009-03-20 | E-GEOD-5331 | biostudies-arrayexpress
2014-08-01 | E-GEOD-40007 | biostudies-arrayexpress
2014-03-11 | E-GEOD-37186 | biostudies-arrayexpress
2013-04-05 | E-GEOD-37187 | biostudies-arrayexpress
2011-07-06 | E-GEOD-23037 | biostudies-arrayexpress
2010-07-21 | E-GEOD-19834 | biostudies-arrayexpress
2011-07-06 | E-GEOD-26326 | biostudies-arrayexpress
2010-03-22 | E-GEOD-16523 | biostudies-arrayexpress
2010-06-11 | E-GEOD-7343 | biostudies-arrayexpress
2010-07-01 | E-GEOD-4609 | biostudies-arrayexpress