Literature DB >> 19771251

Tissue array methods for high-throughput clinicopathologic research.

Hye Seung Lee1, Woo Ho Kim.   

Abstract

Recent research in molecular biology has identified a significant number of novel markers, which may have diagnostic, prognostic and therapeutic significance. High-throughput tissue array method facilitates the validation of novel markers by enabling the simultaneous analysis of hundreds or thousands of tissue specimens. Tissue array slides can be analyzed using techniques such as immunohistochemistry and in situ hybridization. In this review, we give a brief overview of tissue array method and its application to high throughput clinicopathologic research.

Keywords:  Immunohistochemistry; In situ hybridization; Tissue array; Translational research

Year:  2006        PMID： 19771251      PMCID： PMC2741654          DOI： 10.4143/crt.2006.38.1.1

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN： 1598-2998            Impact factor:   4.679


  28 in total

Review 1.  Protein microarray technology.

Authors:  Markus F Templin; Dieter Stoll; Monika Schrenk; Petra C Traub; Christian F Vöhringer; Thomas O Joos
Journal:  Trends Biotechnol       Date:  2002-04       Impact factor: 19.536

2.  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 3.  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

Review 4.  Tissue microarrays: a current medical research tool.

Authors:  Iqbal S Shergill; N K Shergill; M Arya; H R H Patel
Journal:  Curr Med Res Opin       Date:  2004-05       Impact factor: 2.580

Review 5.  Tissue microarrays.

Authors:  Susan Henshall
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

7.  Tissue microarrays for gene amplification surveys in many different tumor types.

Authors:  P Schraml; J Kononen; L Bubendorf; H Moch; H Bissig; A Nocito; M J Mihatsch; O P Kallioniemi; G Sauter
Journal:  Clin Cancer Res       Date:  1999-08       Impact factor: 12.531

8.  Promoter methylation and silencing of PTEN in gastric carcinoma.

Authors:  Young-Hwa Kang; Hye Seung Lee; Woo Ho Kim
Journal:  Lab Invest       Date:  2002-03       Impact factor: 5.662

9.  Epstein-barr virus-positive gastric carcinoma has a distinct protein expression profile in comparison with epstein-barr virus-negative carcinoma.

Authors:  Hye Seung Lee; Mee Soo Chang; Han-Kwang Yang; Byung Lan Lee; Woo Ho Kim
Journal:  Clin Cancer Res       Date:  2004-03-01       Impact factor: 12.531

10.  Inactivation of O6-methylguanine-DNA methyltransferase by promoter CpG island hypermethylation in gastric cancers.

Authors:  S I Bae; H S Lee; S H Kim; W H Kim
Journal:  Br J Cancer       Date:  2002-06-17       Impact factor: 7.640
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  9 in total

1.  Laparoscopic assisted distal rectal cancer resection with preoperative concurrent chemoradiotherapy.

Authors:  Bong Hwa Lee; Mi Young Chang; Sung Kook Park; Taeik Eum; Hyun Joo Shin; Nam Kyu Ro; Chang Nam An; Hae Wan Lee; Lee Su Kim; Hyoung-Chul Park; Hoon Sik Bae; Dae Young Zang; Richard L Whelan
Journal:  Cancer Res Treat       Date:  2007-03-31       Impact factor: 4.679

2.  Immunoscore is a strong predictor of survival in the prognosis of stage II/III gastric cancer patients following 5-FU-based adjuvant chemotherapy.

Authors:  Sumi Yun; Jiwon Koh; Soo Kyung Nam; Yoonjin Kwak; Sang-Hoon Ahn; Joong Do Park; Hyung-Ho Kim; Woo Ho Kim; Hye Seung Lee
Journal:  Cancer Immunol Immunother       Date:  2020-08-12       Impact factor: 6.968

3.  Prognostic value of CAPZA1 overexpression in gastric cancer.

Authors:  Young-Joon Lee; Sang-Ho Jeong; Soon-Chan Hong; Bok-Im Cho; Woo-Song Ha; Soon-Tae Park; Sang-Kyung Choi; Eun-Jung Jung; Young-Tae Ju; Chi-Young Jeong; Jae Won Kim; Chang Won Lee; Jiyun Yoo; Gyung Hyuck Ko
Journal:  Int J Oncol       Date:  2013-03-27       Impact factor: 5.650

4.  Immunoscore encompassing CD3+ and CD8+ T cell densities in distant metastasis is a robust prognostic marker for advanced colorectal cancer.

Authors:  Yoonjin Kwak; Jiwon Koh; Duck-Woo Kim; Sung-Bum Kang; Woo Ho Kim; Hye Seung Lee
Journal:  Oncotarget       Date:  2016-12-06

5.  Human equilibrative nucleoside transporter-1 (hENT1) and ribonucleotide reductase regulatory subunit M1 (RRM1) expression; do they have survival impact to pancreatic cancer?

Authors:  Dae Wook Hwang; Eun Shin; Jai Young Cho; Ho-Seong Han; Yoo-Seok Yoon
Journal:  Ann Hepatobiliary Pancreat Surg       Date:  2020-05-31

6.  The clinical implication of cancer-associated microvasculature and fibroblast in advanced colorectal cancer patients with synchronous or metachronous metastases.

Authors:  Yoonjin Kwak; Hee Eun Lee; Woo Ho Kim; Duck-Woo Kim; Sung-Bum Kang; Hye Seung Lee
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

7.  Comparative analysis of the EGFR, HER2, c-MYC, and MET variations in colorectal cancer determined by three different measures: gene copy number gain, amplification status and the 2013 ASCO/CAP guideline criterion for HER2 testing of breast cancer.

Authors:  Yoonjin Kwak; Sumi Yun; Soo Kyung Nam; An Na Seo; Kyu Sang Lee; Eun Shin; Heung-Kwon Oh; Duck Woo Kim; Sung Bum Kang; Woo Ho Kim; Hye Seung Lee
Journal:  J Transl Med       Date:  2017-08-01       Impact factor: 5.531

8.  Overexpression of Neuron-Specific Enolase as a Prognostic Factor in Patients with Gastric Cancer.

Authors:  Taejin Park; Young-Joon Lee; Sang-Ho Jeong; Sang-Kyung Choi; Eun-Jung Jung; Young-Tae Ju; Chi-Young Jeong; Miyeong Park; Young-Sool Hah; Jiyun Yoo; Woo-Song Ha; Soon-Chan Hong; Gyung Hyuck Ko
Journal:  J Gastric Cancer       Date:  2017-08-25       Impact factor: 3.720

9.  Differential prognostic impact of CD8+ T cells based on human leucocyte antigen I and PD-L1 expression in microsatellite-unstable gastric cancer.

Authors:  Yoonjin Kwak; Jiwon Koh; Yujun Park; Yun Ji Hong; Kyoung Un Park; Hyung-Ho Kim; Do Joong Park; Sang-Hoon Ahn; Woo Ho Kim; Hye Seung Lee
Journal:  Br J Cancer       Date:  2020-03-17       Impact factor: 7.640
  9 in total

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