Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Tissue microarrays.

Literature DB >> 14973378

Tissue microarrays.

Abstract

High-throughput tissue microarray (TMA) technology facilitates the assessment of the clinical relevance of molecular markers by enabling the simultaneous analysis of hundreds of tissue specimens. The widespread adoption of TMAs in many laboratories replaces the conventional one-slide-one-section approach, in which individual archival clinical specimens were placed on separate microscope slides, with the ability to assess RNA, DNA, or protein expression in hundreds of individual patient specimens in a single experiment. One of the applications of this technology is to significantly accelerate advances in translational research through more efficient assessment of novel markers of outcome and response, and as a result, a more rapid application of this knowledge to clinical practice.

Entities: Chemical Disease Species

Mesh：

Year: 2003 PMID： 14973378 DOI： 10.1023/b:jomg.0000010034.43145.86

Source DB: PubMed Journal: J Mammary Gland Biol Neoplasia ISSN： 1083-3021 Impact factor: 2.673

33 in total

1. Frozen tumor tissue microarray technology for analysis of tumor RNA, DNA, and proteins.

Authors: M Schoenberg Fejzo; D J Slamon
Journal: Am J Pathol Date: 2001-11 Impact factor: 4.307

Review 2. Tissue microarray (TMA) technology: miniaturized pathology archives for high-throughput in situ studies.

Authors: L Bubendorf; A Nocito; H Moch; G Sauter
Journal: J Pathol Date: 2001-09 Impact factor: 7.996

3. Improved procedure for fluorescence in situ hybridization on tissue microarrays.

Authors: C L Andersen; G Hostetter; A Grigoryan; G Sauter; A Kallioniemi
Journal: Cytometry Date: 2001-10-01

4. Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays.

Authors: Spyro Mousses; Lukas Bubendorf; Urs Wagner; Galen Hostetter; Juha Kononen; Robert Cornelison; Natalie Goldberger; Abdel G Elkahloun; Niels Willi; Pasi Koivisto; William Ferhle; Mark Raffeld; Guito Sauter; Olli-P Kallioniemi
Journal: Cancer Res Date: 2002-03-01 Impact factor: 12.701

5. Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome.

Authors: Robert L Camp; Marisa Dolled-Filhart; Bonnie L King; David L Rimm
Journal: Cancer Res Date: 2003-04-01 Impact factor: 12.701

6. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging.

Authors: D F Gleason; G T Mellinger
Journal: J Urol Date: 1974-01 Impact factor: 7.450

7. High-throughput tissue microarray analysis to evaluate genes uncovered by cDNA microarray screening in renal cell carcinoma.

Authors: H Moch; P Schraml; L Bubendorf; M Mirlacher; J Kononen; T Gasser; M J Mihatsch; O P Kallioniemi; G Sauter
Journal: Am J Pathol Date: 1999-04 Impact factor: 4.307

8. High-throughput tissue microarray analysis of cyclin E gene amplification and overexpression in urinary bladder cancer.

Authors: J Richter; U Wagner; J Kononen; A Fijan; J Bruderer; U Schmid; D Ackermann; R Maurer; G Alund; H Knönagel; M Rist; K Wilber; M Anabitarte; F Hering; T Hardmeier; A Schönenberger; R Flury; P Jäger; J L Fehr; P Schraml; H Moch; M J Mihatsch; T Gasser; O P Kallioniemi; G Sauter
Journal: Am J Pathol Date: 2000-09 Impact factor: 4.307

9. Detecting activation of ribosomal protein S6 kinase by complementary DNA and tissue microarray analysis.

Authors: M Bärlund; F Forozan; J Kononen; L Bubendorf; Y Chen; M L Bittner; J Torhorst; P Haas; C Bucher; G Sauter; O P Kallioniemi; A Kallioniemi
Journal: J Natl Cancer Inst Date: 2000-08-02 Impact factor: 13.506

10. Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.

Authors: Susan M Henshall; Daniel E H Afar; Jordan Hiller; Lisa G Horvath; David I Quinn; Krishan K Rasiah; Kurt Gish; Dorian Willhite; James G Kench; Margaret Gardiner-Garden; Phillip D Stricker; Howard I Scher; John J Grygiel; David B Agus; David H Mack; Robert L Sutherland
Journal: Cancer Res Date: 2003-07-15 Impact factor: 12.701

5 in total

Tissue microarrays.

1. Frozen tumor tissue microarray technology for analysis of tumor RNA, DNA, and proteins.

Review 2. Tissue microarray (TMA) technology: miniaturized pathology archives for high-throughput in situ studies.

3. Improved procedure for fluorescence in situ hybridization on tissue microarrays.

4. Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays.

5. Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome.

6. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging.

7. High-throughput tissue microarray analysis to evaluate genes uncovered by cDNA microarray screening in renal cell carcinoma.

8. High-throughput tissue microarray analysis of cyclin E gene amplification and overexpression in urinary bladder cancer.

9. Detecting activation of ribosomal protein S6 kinase by complementary DNA and tissue microarray analysis.

10. Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.

1. Tissue array methods for high-throughput clinicopathologic research.

2. Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.

3. E-Cadherin and beta-Catenin expression in early stage cervical carcinoma: a tissue microarray study of 147 cases.

4. TmaDB: a repository for tissue microarray data.

5. TAMEE: data management and analysis for tissue microarrays.