The primary plasma cell leukemia (PCL) is a rare aggressive plasma cell dyscrasia. We investigated its clinical and laboratory aspects in a large series of patients. Among 934 consecutive patients with multiple myeloma (MM), registered between 1978 and 2004 in a single institution, 30 patients [M/F: 22/8; median age (yr): 60, range: 36-79] with PCL (3.1%) were diagnosed. Retrospective analysis of the clinical, immunophenotypic, and cytogenetic aspects was performed. All patients had anemia, thrombocytopenia, circulating plasma cells (median count 4 x 10(9)/l), and in 18/30 patients hypercalcemia was found. Extramedullar involvement was present in 18/30 (60%) patients. The plasma cells were CD138+ and CD38+ (9/9), CD20+ (1/9), and CD10+ (1/9) with cytoplasmic positivity for light chains (9/9). The cytogenetic studies, evaluable in 21/30 patients, showed normal karyotype (6/21), complex hypodiploidy (6/15), pseudodiploidy (5/15), and hyperdiploidy (4/15). Treatment modalities had no impact on survival (median 4.5 months). Seven patients achieved remission. The performance status (ECOG >or= 2), platelet count or= 460 U/l were independent prognostic parameters of survival. The immunologic and cytogenetic presentation of patients with PCL bears little significance on prognosis, which is heavily compromised by advanced age at diagnosis and the poor performance status.

The widely used current International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) is based on clinical parameters. The objective of this study was to identify additional prognostic factors at the time of diagnosis, which could have an impact on the future treatment of patients with PMF. We conducted a study of 131 consecutive PMF patients with median follow-up of 44 months. Data on baseline demographics, clinical and laboratory parameters, IPSS, grade of bone marrow fibrosis (MF), as well as influence of concomitant comorbidities were analyzed in terms of survival. Comorbidity was assessed using the Adult Comorbidity Evaluation-27 (ACE-27) score and the hematopoietic cell transplantation comorbidity index. An improved prognostic model of survival was obtained by deploying the MF and ACE-27 to the IPSS. A multivariable regression analyses confirmed the statistical significance of IPSS (P<0.001, HR 3.754, 95% CI 2.130-6.615), MF>1 (P=0.001, HR 2.694, 95% CI 1.466-4.951) and ACE-27 (P<0.001, HR 4.141, 95% CI 2.322-7.386) in predicting the survival of patients with PMF. When the IPSS was modified with MF and ACE-27, the final prognostic model for overall survival was stratified as low (score 0-1), intermediate (score 2-3) and high risk (score 4-6) with median survival of not reached, 115 and 22 months, respectively (P<0.001). Our findings indicate that the combination of histological changes, comorbidity assessment and clinical parameters at the time of diagnosis allows better discrimination of patients in survival prognostic groups and helps to identify high-risk patients for a poor outcome.

The incidence of chronic myeloid leukemia (CML), which is caused by BCR/ABL chimeric oncogene formation in a pluripotent hematopoietic stem cell (HSC), increases with age and exposure to ionizing radiation. CML is a comparatively well-characterized neoplasm, important for its own sake and useful for insights into other neoplasms. Here, Surveillance, Epidemiology and End Results (SEER) CML data are analyzed after considering possible misclassification of chronic myelo-monocytic leukemia as CML. For people older than 25 years, plots of male and female CML log incidences versus age at diagnosis are approximately parallel straight lines with males either above or to the left of females. This is consistent with males having a higher risk of developing CML or a shorter latency from initiation to diagnosis of CML. These distinct mechanisms cannot be distinguished using SEER data alone. Therefore, CML risks among male and female Japanese A-bomb survivors are also analyzed. The present analyses suggest that sex differences in CML incidence more likely result from differences in risk than in latency. The simplest but not the sole interpretation of this is that males have more target cells at risk to develop CML. Comprehensive mathematical models of CML could lead to a better understanding of the role of HSCs in CML and other preleukemias that can progress to acute leukemia.

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