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BACKGROUND Within the hematopoietic compartment, fibromodulin (FMOD) is almost exclusively expressed in chronic lymphocytic leukemia (CLL) lymphocytes. We set out to determine whether FMOD could be of help in diagnosing borderline lymphoproliferative disorders (LPD). METHODS We established 3 flow cytometry-defined groups (CLL [n = 65], borderline LPD [n = 28], broadly defined as those with CLLflow score between 35 and -20 or discordant CD43 and CLLflow, and non-CLL LPD [n = 40]). FMOD expression levels were determined by standard RT-PCR in whole-blood samples. Patients were included regardless of lymphocyte count but with tumor burden ≥40%. RESULTS FMOD expression levels distinguished between CLL (median 98.5, interquartile range [IQR] 37.8-195.1) and non-CLL LPD (median 0.012, IQR 0.003-0.033) with a sensitivity and specificity of 1. Most borderline LPDs were CD5/CD23/CD200-positive with no loss of B-cell antigens and negative or partial expression of CD43. 16/22 patients with available cytogenetic analysis showed trisomy 12. In 25/28 (89%) of these patients, FMOD expression levels fell between CLL and non-CLL (median 3.58, IQR 1.06-6.21). DISCUSSION This study could suggest that borderline LPDs may constitute a distinct group laying in the biological spectrum of chronic leukemic LPDs. Future studies will have to confirm these results with other biological data. Quantification of FMOD can potentially be of help in the diagnosis of phenotypically complex LPDs.

OBJECTIVE Somatic mutations in ASXL1 seem to have a negative prognostic impact in patients with several myeloid neoplasms, including myelofibrosis (MF). The aim of this work was to determine the prevalence and profile of ASXL1 mutations in MF. METHODS We analyzed mutations in ASXL1 in 70 consecutive MF patients from 8 Spanish hospitals by means of Sanger sequencing, as well as JAK2, CALR, and MPL mutations. RESULTS ASXL1 mutations were found in 16/70 (23%) of cases, most commonly p.Gly646TrpfsX12 (5/16). Most mutations (13/16) were frameshift mutations. Of 54 ASXL1- wild-type patients, 32 (59%) had at least one single nucleotide polymorphism (SNP), 27 of them had g.78128C>T, g.79017A>C, and g.79085T>C [triple SNP (TSNP) patients]. The 5-yr overall survival probability of TSNP patients was 67% (95% CI, 43-91%) vs. 90% (95% CI, 77-100%) in ASXL1-WT patients (P = 0.152). CONCLUSION ASXL1 mutations were found in 23% of cases, p.Gly646TrpfsX12 being the most frequent. About 85% of mutations were found only in individual cases and 46% had not previously been reported, a pattern also seen in other series. Fifty percent of ASXL1-WT patients had a combination of three specific SNPs that might have a prognostic correlation that needs to be determined in larger series.

In up to 5–15% of studies of lymphoproliferative disorders (LPD), flow cytometry (FCM) or immunomorphologic methods cannot discriminate malignant from reactive processes. The aim of this work was to determine the usefulness of PCR for solving these diagnostic uncertainties. We analyzed IGH and TCRγ genes by PCR in 106 samples with inconclusive FCM results. A clonal result was registered in 36/106 studies, with a LPD being confirmed in 27 (75%) of these cases. Specifically, 9/9 IGH clonal and 16/25 TCRγ clonal results were finally diagnosed with LPD. Additionally, two clonal TCRγ samples with suspicion of undefined LPD were finally diagnosed with T LPD. Although polyclonal results were obtained in 47 of the cases studied (38 IGH and nine TCRγ), hematologic neoplasms were diagnosed in 4/38 IGH polyclonal and in 1/9 TCRγ polyclonal studies. There were also 14 PCR polyclonal results (four IGH, 10 TCRγ), albeit nonconclusive. Of these, 2/4 were eventually diagnosed with B-cell lymphoma and 3/10 with T-cell LPD. In eight IGH samples, the results of PCR techniques were noninformative but in 3/8 cases a B lymphoma was finally confirmed. We concluded that PCR is a useful technique to identify LPD when FCM is inconclusive. A PCR clonal B result is indicative of malignancy but IGH polyclonal and nonconclusive results do not exclude lymphoid neoplasms. Interpretation of T-cell clonality should be based on all the available clinical and analytical data. © 2013 International Clinical Cytometry Society