Background: Myelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic disorders, which can be difficult to diagnose based only on morphologic bone marrow examination. Karyotyping can be useful in diagnosing borderline cases. However, only 40% of patients with MDS have an abnormal karyotype. Flow cytometry(FCM) approaches have been described but not clearly defined in MDS due to use of different criteria. We devised a 10-parameter FCM panel, mainly including myeloid and erythroid maturation markers, to differentiate MDS marrows from normal marrows.

Design: Bone marrow from 91 patients with cytopenia(s) or anemia were included in the study(10/2005–7/2006). Cases were divided into 3 groups:

  1. normal, not morphologically suspicious for MDS, 46 cases,

  2. equivocal, morphologically suggestive but not diagnostic of MDS, 20 cases,

  3. morphologically diagnostic of MDS, 25 cases.

10 FCM paremeters were performed and scored:

  1. hypogranularity,

  2. aberrant expression of CD56,

  3. lack of CD10 expression,

  4. decreased CD64 expression,

  5. &

  6. lack of CD13 or CD33 expression,

  7. &

  8. abnormal CD13/CD16 or CD16/CD11b pattern,

  9. increase of CD 34 expression gating on all cells excluding erythrocytes,

  10. decreased expression of CD71/Glycophorin gating on erythroid precursors. Karyotypings were analyzed.

Results:

  1. and

  2. (see Table 1 and 2).

  3. Karyotyping were anlayzed in 86 cases.

Cytogenetic abnormalities were found in 2.2% (1/44) of normal group, 5.3% (1/19) of equivocal group and 34.8% (8/43) of MDS group. In MDS group 7 of 8 patients (87.5%) who had both morphologic and cytogenetic diagnosis of MDS were scored >=3 of 8 FCM parameters.

Conclusions: Study showed the 8-parameter FCM panel was more predictive of MDS than 10-parameters one. Both CD13/CD16 & CD16/CD11b patterns were considered to be non-specific. In 8-parameter panel, zero score tended to rule out MDS, while score >=3 suggested MDS. The most specific FCM parameters were hypogranularity, CD34, aberrant expression of CD56 or lack of CD10 expression by mature granulocytes. CD71/Glycophorin A might be useful in identifying dysplasia in erythroid lineage.

Table 1.

Comparison of FCM Parameters in Patients with/without MDS

Parameters/GroupNormal Group(A)(n=46)Equivocal Group(B)(n=20)MDS Group(C)(n=25)CHITEST(P value)(GRoup A vs C)
* These two parameters were deleted in the 8-parameter panel due to their high frequency seen in normal group. 
Hypogranularity 4 (8.7%) 6 (30%) 18 (72%) 0.0001 
CD56 0 (0.0%) 1 (5%) 6 (24%) 0.0005 
CD10 7 (15.2%) 7 (35%) 15 (60%) 0.0001 
CD64 6 (13.1%) 2 (10%) 6 (24%) 0.2396 
CD13 0 (0.0%) 0 (0.0%) 2 (8.0%) 0.0516 
CD33 0 (0.0%) 2 (10 %) 0 (0%) 
CD13/CD16* 23 (50.0%) 7 (35%) 21 (84%) 0.0047 
CD34 8 (17.4%) 7 (35%) 13 (52%) 0.0026 
CD71 2 (4.3%) 5 (25%) 12 (48%) 0.0001 
CD16/CD11b* 27 (58.7%) 8 (40%) 22 (88%) 0.0107 
Parameters/GroupNormal Group(A)(n=46)Equivocal Group(B)(n=20)MDS Group(C)(n=25)CHITEST(P value)(GRoup A vs C)
* These two parameters were deleted in the 8-parameter panel due to their high frequency seen in normal group. 
Hypogranularity 4 (8.7%) 6 (30%) 18 (72%) 0.0001 
CD56 0 (0.0%) 1 (5%) 6 (24%) 0.0005 
CD10 7 (15.2%) 7 (35%) 15 (60%) 0.0001 
CD64 6 (13.1%) 2 (10%) 6 (24%) 0.2396 
CD13 0 (0.0%) 0 (0.0%) 2 (8.0%) 0.0516 
CD33 0 (0.0%) 2 (10 %) 0 (0%) 
CD13/CD16* 23 (50.0%) 7 (35%) 21 (84%) 0.0047 
CD34 8 (17.4%) 7 (35%) 13 (52%) 0.0026 
CD71 2 (4.3%) 5 (25%) 12 (48%) 0.0001 
CD16/CD11b* 27 (58.7%) 8 (40%) 22 (88%) 0.0107 
Table 2.

Scoring with 8 FCM Parameters in Patients with/without MDS

Score/GroupNormal Group (A)* (n=46)Equivocal Group (B)* (n=20)MDS Group (C)* (n=25)
* Fish Exact T Test: Group A vs C: p<0.0001, A vs B: p=0.0006, B vs C: p=<0.0001 
Score=0 21 (45.7%) 3 (15%) 0 (0.0%) 
Score=1–2 25 (543 %) 14 (70%) 8 (32 %) 
Score>3 0 (0.0%) 3 (15%) 17 (68%) 
*Mean score +/− SD 0.65+/−1.06 1.55+/−1.54 2.8+/−1.65 
Score/GroupNormal Group (A)* (n=46)Equivocal Group (B)* (n=20)MDS Group (C)* (n=25)
* Fish Exact T Test: Group A vs C: p<0.0001, A vs B: p=0.0006, B vs C: p=<0.0001 
Score=0 21 (45.7%) 3 (15%) 0 (0.0%) 
Score=1–2 25 (543 %) 14 (70%) 8 (32 %) 
Score>3 0 (0.0%) 3 (15%) 17 (68%) 
*Mean score +/− SD 0.65+/−1.06 1.55+/−1.54 2.8+/−1.65 

Disclosure: No relevant conflicts of interest to declare.

Author notes

*

Corresponding author

Sign in via your Institution