Immunohistochemical Expressions of Ki-67, Cyclin D1, β-Catenin, Cyclooxygenase-2, and Epidermal Growth Factor Receptor in Human Colorectal Adenoma: A Validation Study of Tissue Microarrays

Su, Yinghao; Shrubsole, Martha J.; Ness, Reid M.; Cai, Qiuyin; Kataoka, Nobuhiko; Washington, Kay; Zheng, Wei

doi:10.1158/1055-9965.epi-05-0946

Cited by 38 publications

(36 citation statements)

References 27 publications

(39 reference statements)

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“…The missing cores in our study comprised 8.6% of the entire number of cores. This result was acceptable considering the large number of cores, and the comparison of missing core percentages of other similar studies; these core percentages deteriorated from 6.6 to 17% (11,19,20).…”

Section: Discussionmentioning

confidence: 66%

“…However, only a few studies have correlated C1 C2 C3 TMA Whole C1 C2 C3 TMA Whole Low 24 23 22 16 27 99 107 106 88 survival and clinical data with both TMA and results obtained from whole sections to establish whether data from TMAs can be reliably used for clinicopathological correlations and survival analysis (12,14). The majority of studies investigated the ability of TMA to represent whole sections in immunohistochemical studies of certain antigens as well as the optimal number of TMA cores needed to achieve acceptable representation of the specimens (6,10,(19)(20)(21). Our results showed that even one 0.6 mm TMA core represented whole sections as significantly as the score of all three TMA cores.…”

Section: Discussionmentioning

confidence: 99%

“…jourdan et al (9) analyzed eight (0.6 mm) cores per tumor in colorectal carcinomas and concluded that compared with one or two cores, three cores significantly increase the concordance rate with the whole sections, and decrease the risk of missing cases. However, another study on colorectal adenoma (19) indicated that, due to the heterogeneous staining pattern, four (0.6 mm) cores are required to reliably assess the expression levels of Ki-67. Furthermore, other studies suggested that even two cores, but with a larger diameter (1 mm), provide sufficient information to achieve results similar to those obtained from whole sections (11).…”

Section: Discussionmentioning

confidence: 99%

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Limitations of tissue microarrays compared with whole tissue sections in survival analysis

Khouja

Baekelandt²,

Sarab³

et al. 2010

Oncology Letters

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Abstract. Tissue microarray (TMA) is a promising technique in the evaluation of immunohistochemical markers in tumors and may be used as an alternative for whole sections. However, only a few studies have correlated a clinical outcome with both TMA and results obtained from whole sections. This study compared immunostaining for Ki-67 and p16 in TMA (3 cores from each specimen) and whole sections of 171 cases of stage III epithelial ovarian cancer with clinical data. A high expression of Ki-67 was identified in 85.0, 85.5, 85.8, 90.5 and 84% of cores 1, 2 and 3, TMAs and whole tissue sections, respectively. A high p16 expression was found in 36.5, 31.4, 30.3, 46.3 and 31.0% of cores 1, 2 and 3, TMAs and whole tissue sections, respectively. The high expression of Ki-67 and p16 in whole tissue sections significantly correlated with that of Ki-67 and p16 in core 1 (P<0.0001 and P<0.0001, respectively), core 2 (P<0.0001 and P<0.0001, respectively), core 3 (P<0.0001 and P<0.0001, respectively), and TMAs (P<0.0001 and P<0.0001, respectively). In univariate analysis, a high expression of Ki-67 and p16 in two of the cores; TMA and the whole tissue sections were significantly correlated to diseaserelated survival (Ki-67: P=0.008, 0.012, 0.012 and 0.0001, respectively, and p16: P=0.0007, 0.0005, 0.0008 and 0.005, respectively). However, in the multivariate analysis only Ki-67 on whole tissue sections retained an independent prognostic significance (P=0.025). We concluded that more studies, with a higher number of cores, are necessary to determine the efficacy of TMA in reflecting the prognostic value of different antibodies. Morever, evaluation of this method is crucial for each type of tumor and each separate antigen. It is also essential to confirm the clinical correlations on the whole sections before investigating the same parameters on TMA.

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Section: Discussionmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Limitations of tissue microarrays compared with whole tissue sections in survival analysis

Khouja

Baekelandt²,

Sarab³

et al. 2010

Oncology Letters

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“…Quantitative analysis of MIP-1α staining in the tissue microarray (TMA) was performed similar to a procedure previously described (8). Briefly, a system composed of an Olympus BX40 microscope (Olympus American, Miami, FL), a Retiga FAST 1394 color digital camera (QImaging, British Columbia, Canada), and Bioquant Nova Prime imaging analysis software (Bioquant, Nashville, TN) was used.…”

Section: Study Population and Multiplex Immunoassaysmentioning

confidence: 99%

Identification of blood protein biomarkers that aid in the clinical assessment of patients with malignant glioma

Gowda

et al. 2012

Int J Oncol

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Abstract. Analyzing molecular biomarkers using blood is an important approach for clinical assessment of malignant glioma. We investigated a molecular proteomic biomarkerbased approach for glioblastoma using patients' blood samples. The expression levels of a list of candidate proteins were quantified in plasma and serum samples from two different cohorts of patients with malignant glioma and normal controls. The biological function was studied for one of the identified markers. Additionally, the prognostic significance of protein marker expression was measured by survival analysis. As a result, protein biomarkers associated with malignant glioma were identified from the blood specimens and five of the protein biomarkers were common to both cohorts. Immunohistochemical analysis demonstrated that many of the protein biomarkers identified in peripheral blood specimens were expressed in malignant gliomas. Staining levels for one of the biomarkers, MIP-1α, was found to correlate with WHO grade among invasive gliomas, and we demonstrate that MIP-1α promotes human glioblastoma cell proliferation and migration. Additionally, four prognostic protein biomarkers were identified. In conclusion, we demonstrate that both peripheral blood plasma and serum specimens are highly valuable and complementary to each other in the quest for protein biomarkers of malignant glioma. Sets of novel protein biomarkers were identified that may aid in the diagnosis and prognosis of patients with malignant glioma.

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“…Our lower loss rate (1.9% vs 4.5% to 20% in tumors) probably results from well-fixed kidney samples (Su et al 2006).…”

Section: Resultsmentioning

confidence: 61%

Assessing the Application of Tissue Microarray Technology to Kidney Research

Zhang

Yao

et al. 2010

J Histochem Cytochem.

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Nashville Veterans Administration Hospital, Nashville, Tennessee S U M M A R Y Tissue microarray (TMA) is a new high-throughput method that enables simultaneous analysis of the profiles of protein expression in multiple tissue samples. TMA technology has not previously been adapted for physiological and pathophysiological studies of rodent kidneys. We have evaluated the validity and reliability of using TMA to assess protein expression in mouse and rat kidneys. A representative TMA block that we have produced included: (1) mouse and rat kidney cortex, outer medulla, and inner medulla fixed with different fixatives; (2) rat kidneys at different stages of development fixed with different fixatives; (3) mouse and rat kidneys with different physiological or pathophysiological treatments; and (4) built-in controls. As examples of the utility, immunostaining for cyclooxygenase-2, renin, Tamm Horsfall protein, aquaporin-2, connective tissue growth factor, and synaptopodin was carried out with kidney TMA slides. Quantitative analysis of cyclooxygense-2 expression in kidneys confirms that individual cores provide meaningful representations comparable to whole-kidney sections. These studies show that kidney TMA technique is a promising and useful tool for investigating the expression profiles of proteins of interest in rodent kidneys under different physiological and pathophysiological conditions. (J Histochem Cytochem 58:413-420, 2010)

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Immunohistochemical Expressions of Ki-67, Cyclin D1, β-Catenin, Cyclooxygenase-2, and Epidermal Growth Factor Receptor in Human Colorectal Adenoma: A Validation Study of Tissue Microarrays

Cited by 38 publications

References 27 publications

Limitations of tissue microarrays compared with whole tissue sections in survival analysis

Limitations of tissue microarrays compared with whole tissue sections in survival analysis

Identification of blood protein biomarkers that aid in the clinical assessment of patients with malignant glioma

Assessing the Application of Tissue Microarray Technology to Kidney Research

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