ICCS enewsletter CSI Summer 2011 Jeannine T Holden

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ICCS e-newsletter CSI Summer 2011 Jeannine T. Holden, MD Emory University School of Medicine

ICCS e-newsletter CSI Summer 2011 Jeannine T. Holden, MD Emory University School of Medicine Atlanta, GA

Case History The patient is a 35 year old male with a history of

Case History The patient is a 35 year old male with a history of B lymphoblastic leukemia/lymphoma diagnosed several years prior to the present study and treated with chemotherapy. Both original diagnosis and treatment were performed at another institution. Patient is reportedly doing well clinically, and the present study is routine monitoring. His peripheral blood counts are all within normal limits. The patient does report a recent two day history of malaise and upper respiratory symptoms that are attributed to viral infection.

Questions… • Is there any evidence of residual/recurrent B lymphoblastic leukemia/lymphoma? • Is normal

Questions… • Is there any evidence of residual/recurrent B lymphoblastic leukemia/lymphoma? • Is normal hematopoietic activity intact? • Is there any evidence of other diseases? • Are there any other problems with this case?

Flow cytometric immunophenotyping • Bone marrow aspirate • Acquired on a FACSCanto cytometer using

Flow cytometric immunophenotyping • Bone marrow aspirate • Acquired on a FACSCanto cytometer using Diva software, FCS 2. 0 formatted listmode data • Fourteen four-color tubes • Tubes #3 through #14 gated at acquisition (enriching for mononuclear cells) • Files are labeled ICCS 001 through ICCS 014

Antibody panel (FITC/PE/Per. CP/APC) • • • • ICCS 001: isotype controls ICCS 002:

Antibody panel (FITC/PE/Per. CP/APC) • • • • ICCS 001: isotype controls ICCS 002: CD 14/CD 13/CD 45/CD 34 ICCS 003: HLA-DR/CD 25/CD 45/CD 33 ICCS 004: CD 3/CD 45/CD 8 ICCS 005: CD 2/CD 7/CD 45/CD 5 ICCS 006: CD 10/CD 19/CD 45/CD 34 ICCS 007: CD 36/CD 117/CD 45/CD 34 ICCS 008: CD 15/CD 11 b/CD 45/CD 34 ICCS 009: CD 103/CD 22/CD 45/CD 11 c ICCS 010: CD 16/CD 56/CD 45/CD 38 ICCS 011: FMC-7/CD 23/CD 45/CD 19 ICCS 012: KAPPA/CD 20/CD 45/CD 19 ICCS 013: LAMBDA/CD 20/CD 45/CD 19 ICCS 014: KAPPA/LAMBDA/CD 20/CD 5

Antibody panel (FITC/PE/Per. CP/APC) Ignore high background staining with this reagent in • this

Antibody panel (FITC/PE/Per. CP/APC) Ignore high background staining with this reagent in • this ICCS 001: case! isotype controls • • • • ICCS 002: CD 14/CD 13/CD 45/CD 34 ICCS 003: HLA-DR/CD 25/CD 45/CD 33 ICCS 004: CD 3/CD 45/CD 8 ICCS 005: CD 2/CD 7/CD 45/CD 5 ICCS 006: CD 10/CD 19/CD 45/CD 34 ICCS 007: CD 36/CD 117/CD 45/CD 34 ICCS 008: CD 15/CD 11 B/CD 45/CD 34 ICCS 009: CD 103/CD 22/CD 45/CD 11 c ICCS 010: CD 16/CD 56/CD 45/CD 38 ICCS 011: FMC-7/CD 23/CD 45/CD 19 ICCS 012: KAPPA/CD 20/CD 45/CD 19 ICCS 013: LAMBDA/CD 20/CD 45/CD 19 ICCS 014: KAPPA/LAMBDA/CD 20/CD 5

Antibody panel (FITC/PE/Per. CP/APC) • • • • ICCS 001: isotype controls ICCS 002:

Antibody panel (FITC/PE/Per. CP/APC) • • • • ICCS 001: isotype controls ICCS 002: CD 14/CD 13/CD 45/CD 34 ICCS 003: HLA-DR/CD 25/CD 45/CD 33 ICCS 004: CD 3/CD 45/CD 8 ICCS 005: CD 2/CD 7/CD 45/CD 5 ICCS 006: CD 10/CD 19/CD 45/CD 34 ICCS 007: CD 36/CD 117/CD 45/CD 34 ICCS 008: CD 15/CD 11 B/CD 45/CD 34 ICCS 009: CD 103/CD 22/CD 45/CD 11 c ICCS 010: CD 16/CD 56/CD 45/CD 38 ICCS 011: FMC-7/CD 23/CD 45/CD 19 ICCS 012: KAPPA/CD 20/CD 45/CD 19 ICCS 013: LAMBDA/CD 20/CD 45/CD 19 ICCS 014: KAPPA/LAMBDA/CD 20/CD 5 History of B ALL means that this tube is probably the most informative

So, look at the analysis pdf, scrolling to Tube ICCS 006, and look for

So, look at the analysis pdf, scrolling to Tube ICCS 006, and look for candidate malignant populations… • Cells co-expressing CD 19, CD 34, and CD 10 are readily identifiable • We know that normal B-cell progenitors (“hematogones”) are likely present • Can we identify any populations that are phenotypically aberrant (particularly as compared to the expected normal Bcell progenitors)?

One of the dotplots for this tube looks odd… • B-cells and B-cell progenitors

One of the dotplots for this tube looks odd… • B-cells and B-cell progenitors are present, but there is also an unexpected population. • Can you see the unexpected population? • Don’t worry if you can’t, as it’s difficult to see if you aren’t already familiar with the normal patterns as generated by another laboratory.

One of the dotplots for this tube looks odd… • So, let’s make it

One of the dotplots for this tube looks odd… • So, let’s make it easier… – The cells circled in blue are immature B-cell progenitors. They co-express CD 34 and CD 10. – The cells circled in green are more mature B-cell progenitors. The coexpress CD 10 but not CD 34. – The cells circled in orange are mature B-cells. They express neither CD 10 nor CD 34, and do express surface immunoglobulin light chains. – The cells circled in pink are the aberrant population. If you backgate you’ll find that these cells co-express CD 10 and CD 34. Are these cells recurrent/residual leukemic blasts?

Not convinced? • Well, let’s compare it to a normal hematogone pattern… – The

Not convinced? • Well, let’s compare it to a normal hematogone pattern… – The dotplot on the bottom shows the expected normal hematogone pattern with the CD 19/CD 45 combination. – The dotplot on the top definitely has another population in there.

Not convinced? • Well, let’s make it even easier… – The dotplot on the

Not convinced? • Well, let’s make it even easier… – The dotplot on the bottom shows the expected normal hematogone pattern with the CD 19/CD 45 combination. – Here I’ve added the colored gates, just to make it clear. Notice that the pink circle is essentially empty in the bottom dotplot.

But now it’s really confusing, because these dotplots are both from the same analysis

But now it’s really confusing, because these dotplots are both from the same analysis in the same patient… • Don’t believe me? – You can go look at the full analysis pdf and see for yourself. – And while you’re at it, look at the other CD 19/CD 45 combinations in tubes 12 and 13. Neither of them shows the aberrant population.

So, what’s going on? • Residual/recurrent leukemia present, but only shows up in one

So, what’s going on? • Residual/recurrent leukemia present, but only shows up in one tube? – Unlikely degree of sampling error. – Unlikely immunophenotype, as even if these cells do express CD 19, CD 10, and CD 34, they also appear to express very high density CD 45, and that’s not characteristic of B ALL.

And the answer is… • “Carry over” – Tube 5 in this analysis is

And the answer is… • “Carry over” – Tube 5 in this analysis is directed at identifying normal (and aberrant) Tcells. – Note that the CD 7/CD 45 combination identifies cells in both the orange and pink circles. These are normal Tcells. And of course they also express CD 2 and CD 7.

“Carry over” • Already stained cells from one tube are introduced to another tube

“Carry over” • Already stained cells from one tube are introduced to another tube of stained cells • Results in overlapping dotplots • Typically identified in sequential tubes • May occur as a result of… – – Pipetting error (unusual) Splashing of one sample into an another Inefficient washing/rinsing of sipper Machine tubing: cells from first tube remain in tubing, acquired with next tube

How do I know for sure that this is “carry over”? • Because I

How do I know for sure that this is “carry over”? • Because I deliberately contaminated tube 6 with cells from tube 5, that’s why. • But here’s another example to show you what it looks like…

Another example of “carry over” • Cervical lymph node fine needle aspirate from a

Another example of “carry over” • Cervical lymph node fine needle aspirate from a 58 year old female • Normal blood cell counts • Cytologically benign

 • Why does this patient’s sample harbor cells that co-express CD 19, CD

• Why does this patient’s sample harbor cells that co-express CD 19, CD 10, and CD 34? • Is this an unusual early presentation of B ALL?

 • And why can’t I find a distinct CD 34+ population in this

• And why can’t I find a distinct CD 34+ population in this tube from the same analysis in the same patient?

Look familiar?

Look familiar?

Conclusions • Exploit panel redundancy to investigate unexpected findings. • Assume that errors will

Conclusions • Exploit panel redundancy to investigate unexpected findings. • Assume that errors will occur. • Consider all information about a case, including the clinical history. • Don’t have the clinical history? Get it.