optimization of the capture of “difficult targets” in tissue microarrays

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Optimization of the capture of Optimization of the capture of “difficult targets” “difficult targets” in tissue microarrays in tissue microarrays Chris Moskaluk Chris Moskaluk University of Virginia University of Virginia

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Optimization of the capture of “difficult targets” in tissue microarrays. Chris Moskaluk University of Virginia. The “perfect” tissue target approximates a cylinder with sides parallel to the direction of the TMA sampling needle, and that extends to the full thickness of the paraffin block. - PowerPoint PPT Presentation

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Page 1: Optimization of the capture of “difficult targets”  in tissue microarrays

Optimization of the capture of Optimization of the capture of “difficult targets” “difficult targets”

in tissue microarraysin tissue microarrays

Chris MoskalukChris Moskaluk

University of VirginiaUniversity of Virginia

Page 2: Optimization of the capture of “difficult targets”  in tissue microarrays

The “perfect” tissue target approximates a cylinder with The “perfect” tissue target approximates a cylinder with sides parallel to the direction of the TMA sampling needle, sides parallel to the direction of the TMA sampling needle, and that extends to the full thickness of the paraffin block.and that extends to the full thickness of the paraffin block.

Page 3: Optimization of the capture of “difficult targets”  in tissue microarrays

Some target tissues are thin, requiring double sampling with the Some target tissues are thin, requiring double sampling with the TMA needles, with subsequent stacking of the tissue cores in TMA needles, with subsequent stacking of the tissue cores in the TMA block.the TMA block.

Page 4: Optimization of the capture of “difficult targets”  in tissue microarrays

““Double stacked” TMA coresDouble stacked” TMA cores

Page 5: Optimization of the capture of “difficult targets”  in tissue microarrays

Some target tissues veer off at acute angles from the surface of the Some target tissues veer off at acute angles from the surface of the donor paraffin block. The course of the target tissue cannot be donor paraffin block. The course of the target tissue cannot be predicted from examination of the guide H&E histologic section.predicted from examination of the guide H&E histologic section.

Page 6: Optimization of the capture of “difficult targets”  in tissue microarrays

Target tissue is often a complex 3 dimensional structure within Target tissue is often a complex 3 dimensional structure within the donor paraffin block. Larger cores or multiple sampling may the donor paraffin block. Larger cores or multiple sampling may be required to effect capture of target tissue in serial sections of a be required to effect capture of target tissue in serial sections of a TMA block.TMA block.

Page 7: Optimization of the capture of “difficult targets”  in tissue microarrays

Optimization studyOptimization study

Hypothesis: larger core sizes will capture Hypothesis: larger core sizes will capture more tissuemore tissue• Core sizes: 0.6, 1, 1.5, 2 mmCore sizes: 0.6, 1, 1.5, 2 mm• Area increases as a square of the radiusArea increases as a square of the radius

What number of what size cores are needed What number of what size cores are needed to capture “difficult” targets for at least 100 to capture “difficult” targets for at least 100 histologic sections? histologic sections?

Page 8: Optimization of the capture of “difficult targets”  in tissue microarrays

TMA spot sizesTMA spot sizes

20 X original magnification20 X original magnification

Page 9: Optimization of the capture of “difficult targets”  in tissue microarrays

Optimization studyOptimization study

Target tissuesTarget tissues• Brunner glands of duodenumBrunner glands of duodenum• Breast lobules and ductsBreast lobules and ducts• Bile ducts in liver portal tractsBile ducts in liver portal tracts• Pancreatic isletsPancreatic islets

5 different donor blocks per target tissue5 different donor blocks per target tissue 2 duplicate microarrays2 duplicate microarrays

• 0.6 mm cores: 10 x 2 = 200.6 mm cores: 10 x 2 = 20• 1 mm cores: 10 x 2 = 201 mm cores: 10 x 2 = 20• 1.5 mm cores: 4 x 2 = 81.5 mm cores: 4 x 2 = 8• 2 mm cores: 4 x 2 = 82 mm cores: 4 x 2 = 8

Page 10: Optimization of the capture of “difficult targets”  in tissue microarrays

TMA block with 0.6, 1, 1.5 and 2 mm tissue coresTMA block with 0.6, 1, 1.5 and 2 mm tissue cores

Page 11: Optimization of the capture of “difficult targets”  in tissue microarrays

125

5075

100125

0.6 mm

1 mm

1.5 mm

2 mm

0

10

20

30

40

50

60

70

80

90

100

Breast epithelium

0.6 mm

1 mm

1.5 mm

2 mm

Histologic level

% capture(per core)

Tissue spot diameter

Page 12: Optimization of the capture of “difficult targets”  in tissue microarrays

Histologic level

% capture(per core)

Tissue spot diameter1

2550

75100

125

0.6 mm

1 mm

1.5 mm

2 mm

0

10

20

30

40

50

60

70

80

90

100

Brunner glands

0.6 mm

1 mm

1.5 mm

2 mm

Page 13: Optimization of the capture of “difficult targets”  in tissue microarrays

Histologic level

% capture(per core)

Tissue spot diameter1

2550

75100

125

0.6 mm

1 mm

1.5 mm

2 mm

0

10

20

30

40

50

60

70

80

90

100

Liver bile ducts

0.6 mm

1 mm

1.5 mm

2 mm

Page 14: Optimization of the capture of “difficult targets”  in tissue microarrays

125

5075

100125

0.6 mm

1 mm

1.5 mm

2 mm

0

10

20

30

40

50

60

70

80

90

100

Pancreatic islets

0.6 mm

1 mm

1.5 mm

2 mm

Histologic level

% capture(per core)

Tissue spot diameter

Page 15: Optimization of the capture of “difficult targets”  in tissue microarrays

ConclusionsConclusions

The number and the size of TMA cores The number and the size of TMA cores needed to efficiently capture target needed to efficiently capture target tissue will depend on the specific tissue will depend on the specific tissue targettissue target

For the most difficult targets, at least For the most difficult targets, at least two “large cores” (1.5 or 2 mm) may two “large cores” (1.5 or 2 mm) may be requiredbe required