Tissue Microarray

Barrette, Kathleen; Garmyn, Marjan

doi:10.1038/jid.2014.277

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…Tissue arrays can screen through tens to perhaps as many as several hundred samples [45]; however, the variability in technical factors and the resulting quality of tissue specimens means that the integrity of tissue samples are in many instances compromised. The TCC Protocol uses well-established, standardized processes for collecting and storing biological samples.…”

Section: Discussionmentioning

confidence: 99%

Use of the Total Cancer Care System to Enrich Screening for CD30-Positive Solid Tumors for Patient Enrollment Into a Brentuximab Vedotin Clinical Trial: A Pilot Study to Evaluate Feasibility

Li¹,

Eschrich²,

Berglund³

et al. 2017

JMIR Res Protoc

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BackgroundOne approach to identify patients who meet specific eligibility criteria for target-based clinical trials is to use patient and tumor registries to prescreen patient populations.ObjectiveHere we demonstrate that the Total Cancer Care (TCC) Protocol, an ongoing, observational study, may provide a solution for rapidly identifying patients with CD30-positive tumors eligible for CD30-targeted therapies such as brentuximab vedotin.MethodsThe TCC patient gene expression profiling database was retrospectively screened for CD30 gene expression determined using HuRSTA-2a520709 Affymetrix arrays (GPL15048). Banked tumor tissue samples were used to determine CD30 protein expression by semiquantitative immunohistochemistry. Statistical comparisons of Z- and H-scores were performed using R statistical software (The R Foundation), and the predictive value, accuracy, sensitivity, and specificity of CD30 gene expression versus protein expression was estimated.ResultsAs of March 2015, 120,887 patients have consented to the institutional review board–approved TCC Protocol. A total of 39,157 fresh frozen tumor specimens have been collected, from which over 14,000 samples have gene expression data available. CD30 RNA was expressed in a number of solid tumors; the highest median CD30 RNA expression was observed in primary tumors from lymph node, soft tissue (many sarcomas), lung, skin, and esophagus (median Z-scores 1.011, 0.399, 0.202, 0.152, and 1.011, respectively). High level CD30 gene expression significantly enriches for CD30-positive protein expression in breast, lung, skin, and ovarian cancer; accuracy ranged from 72% to 79%, sensitivity from 75% to 100%, specificity from 70% to 76%, positive predictive value from 20% to 40%, and negative predictive value from 95% to 100%.ConclusionsThe TCC gene expression profiling database guided tissue selection that enriched for CD30 protein expression in a number of solid tumor types. Such an approach may improve screening efficiency for enrolling patients into biomarker-based clinical trials.

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Section: Discussionmentioning

confidence: 99%

Use of the Total Cancer Care System to Enrich Screening for CD30-Positive Solid Tumors for Patient Enrollment Into a Brentuximab Vedotin Clinical Trial: A Pilot Study to Evaluate Feasibility

Li¹,

Eschrich²,

Berglund³

et al. 2017

JMIR Res Protoc

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show abstract

“…Commercial automated and manual TMA arrayers are expensive, with a cost of $7000 to $30,000. [13][14][15] Because of this high cost, extensive application of the TMA technique is restricted in many small pathology laboratories with limited budgets. To reduce costs, several methods TMA construction were recently reported.…”

Section: Discussionmentioning

confidence: 99%

Simple method for constructing and repairing tissue microarrays using simple equipment

et al. 2021

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Objective Many methods for tissue microarray (TMA) construction were described in previous reports. Because TMA-based methods are expensive and complicated, their widespread application may be restricted. This study aimed to develop a simple method for TMA construction. Methods High-density TMAs were constructed using simple equipment, and hematoxylin and eosin and immunohistochemical staining were performed to analyze the effect on the TMA block. Results A recipient block with 162 holes of 0.9 mm in diameter was prepared using a mini-drill and plastic mold. Tissue cores of 1.0 mm in diameter were obtained from multiple donor blocks with stainless-steel capillary tubes driven by the mini-drill. Under the fixation and guidance of the plastic mold, tissue cores could be easily injected into the holes in the recipient block by inserting a stainless-steel wire into the stainless-steel tube with the tissue core and then pressing using the stainless-steel wire. Conclusion A high-density TMA block with 162 1.0-mm cores was created. This new modified technique could be a good alternative in many laboratories.

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“…With the TMA method, it is possible to process several hundred tissue samples simultaneously and under identical conditions (incubation time, temperature, concentration of reagents) [3]. Further advantages include cost and time efficiency [2][3][4][5][6], evaluation under identical conditions [3,[5][6][7][8] and preservation of donor specimen [2,7,[9][10][11][12]. The combination of digital microscopy to select regions to punch using Digital Image Analysis (DIA) with fully automated tissue microarrays have led to the development of a new era in TMA technique and coined the term next-generation Tissue MicroArray (ngTMA ® ) [11,13].…”

Section: Introductionmentioning

confidence: 99%

“…Standard TMA methods require high expertise [14,16], can be accompanied by loss of antigenicity [16,17] and the loss of tissue cores [18,19]. In addition, the informative value of a minuscule tissue punch when compared with whole slide analysis remains disputed [6,15,[19][20][21][22][23]. Therefore, assessment of qualitative accuracy of ngTMA ® has focused on determining how representative a punch core on a TMA is compared with a whole slide in immunohistochemical evaluation.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of a Next-Generation Tissue Microarray on Various Soft Tissue Samples of Wistar Rats

et al. 2021

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This study aimed to investigate accuracy in different sectional planes of the TMA Grand Master (3DHISTECH) Workstation in various soft tissue samples collected from Wistar rats. A total of 108 animals were sacrificed and 963 tissue specimens collected from 12 soft-tissue types. A total of 3307 tissue cores were punched and transferred into 40 recipient TMA blocks. Digital image analysis was performed. Core loss showed a significant correlation with tissue type and was highest in skin tissue (p < 0.001), renal medulla and femoral artery, nerve, and vein bundle (p < 0.01). Overall, 231 of 3307 tissue cores (7.0%) were lost. Hit rate analysis was performed in 1852 punches. The target was hit completely, partially and missed totally by 89.4%, 7.2% and 2.2%. A total of 54.5% of punches had good accuracy with less than 200 µm deviation from the centre of the targeted region and 92.6% less than 500 µm. Accuracy decreases with greater sectional depth. In the deepest sectional plane of roughly 0.5 mm median depth, almost 90% of cores had a deviation below 500 µm. Recommendations for automated TMA creation are given in this article. The ngTMA®-method has proven accurate and reliable in different soft tissues, even in deeper sectional layers.

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Tissue Microarray

Cited by 6 publications

References 10 publications

Use of the Total Cancer Care System to Enrich Screening for CD30-Positive Solid Tumors for Patient Enrollment Into a Brentuximab Vedotin Clinical Trial: A Pilot Study to Evaluate Feasibility

Use of the Total Cancer Care System to Enrich Screening for CD30-Positive Solid Tumors for Patient Enrollment Into a Brentuximab Vedotin Clinical Trial: A Pilot Study to Evaluate Feasibility

Simple method for constructing and repairing tissue microarrays using simple equipment

Accuracy Analysis of a Next-Generation Tissue Microarray on Various Soft Tissue Samples of Wistar Rats

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