Introduction: α-Interferon is associated with numerous cutaneous side effects, but the accurate incidence of these complications is not clearly known. Objectives: A prospective study was designed to evaluate the incidence and clinical pattern of cutaneous side effects in a cohort of patients receiving adjuvant therapy with low-dose interferon for malignant melanoma. Material and Methods: A cohort of 33 patients with stage IIA and IIB melanoma treated with low-dose α-interferon (3 MIU 3 times a week for 18 months) were prospectively enrolled in a single-center study. The patients responded to a questionnaire on their medical history and were systematically examined for any cutaneous lesions before treatment and every 3 months afterwards. Results: 29/33 patients (87%) experienced 1 or more cutaneous side effects. The most frequent was hair loss and occurred in 16 cases (48.4%). Hair discoloration was noted in 6 cases (18%). Eczematous reactions at injection sites or at remote sites were observed in 13 patients (39%). Pruritus occurred in 10 cases (30%). Xerostomia, Raynaud’s phenomenon or livedo reticularis were observed in 10 patients, associated with an increase in circulating autoantibody titer in 2 cases. Some rare side effects were observed: urticaria (1 case) or angioedema (1 case), worsening of preexisting seborrheic dermatitis (3 cases), herpetic recurrence (2 cases), pityriasis versicolor (1 case), worsening of recurrent buccal aphthous ulcer (1 case) and vitiligo (1 case). Conclusion: Cutaneous adverse events during adjuvant immunotherapy of melanoma with low-dose α-interferon seem to be frequent but do not result in treatment discontinuation. A good awareness of these side effects may be useful for a more accurate survey and clinical management of patients receiving this treatment.
Introduction: Detection of disparity in microsatellite DNA regions (STR - Short Tandem Repeats) between recipient and donor allows for sensitive and specific monitorization of the degree of haematopoietic chimerism. It is well known that disparities between donor and recipient in various polymorphic systems (mainly MHC) are associated with an increased incidence of graft-versus-host disease (GVHD). However, it is still unknown whether or not STR disparities could have a similar biological effect. Aim: To study the relationship between STR disparities and frequency of GVHD, overall survival and event free survival in patients who have received allogeneic transplantation. Patients: 161 consecutive patients transplanted with peripheral blood stem cells from identical MHC sibling donor at a single center were included in the study. Their characteristics were: median age 44 (17–69); Male/Female: 94/67; Sex disparity: 46%; Diagnosis: 39 AML, 26 ALL, 24 MDS, 19 MM, 17 CML, 14 NHL, 10 CLL, 10 HD, 1 CMPD,U, and 1 Hypereosinophilic Syndrome. The conditioning regimen was reduced intensity in 81 patients and myeloablative in the remainly 80 pts. All 161 patients engrafted and were evaluable for acute GVHD (aGVHD), while 128 were included in the analysis of chronic GVHD (cGVHD), according to the available follow-up. Methods: After genomic DNA extraction, PowerPlex®16 System kit (Promega Corporation, Madison, WI) was used to amplify 16 STR regions (15 plus gender marker, Amilogenin). The amplified products were analysed using GeneScan 2.1 (Applied Biosystems, Foster City, CA) after electrophoresis in the ABIPrism 377 (Applied Biosystems). The chi-square and y t-Student tests were used for statistical analysis. Log-rank analysis was applied for comparing differences in survival. Multivariate analysis was carried out according to the cox-regression method. Results: The number of STR disparities between recipient and donor ranged from 4 to 15 (median: 9). Discordances in D13S317, D18S51 and TPOX were associated with higher grades of aGVHD severity (p=0.024, p=0.027 and p=0.034, respectively). Disparities in D16S539 was associated with cGVHD (p=0.043). The number of loci discrepancies was not related to any clinical parameter included in the analysis (aGVHD, cGVHD, EFS y OS). However, when patients were grouped according to STR mismatches (<11 disparities and >11, n=127 and 17, respectively), shorter OS was associated in patients with >11 disparities (p=0.021). Conclusions: The presence of STR disparities could be associated with the development of complications during sibling allogeneic transplantation, including presentation of aGVHD. The data available only shows a marginal association and must be considered as preliminary.
Multiple myeloma (MM) remains as an incurable disease although new therapies can achieve a high rate of complete remissions (CR). Unfortunately, most patients ultimately relapse due to the persistence of minimal residual disease (MRD), and only a minority could be cured. Detection and quantification of these cells is an important tool for monitoring these patients and predicting a potential relapse. Here we analyze by RQ-PCR the MRD in MM patients achieving CR in order to classify them into different risk categories. MATERIAL AND METHODS: 38 MM patients uniformly treated according to the GEM-2000 (Spanish group for Myeloma) protocol, and that have achieved CR following PBSCT were included in the study. 22 were IgG, 9 IgA, 6 B-J and 1 non-secretory (κ/λ 21/16). 27 were male & 11 female with a median age of 58 (range 48–65). Bone marrow samples obtained at diagnosis and 3 months after transplant were analyzed. Complete (VDJH) and incomplete (DJH) Ig rearrangements were amplified with the Biomed-2 strategy (Leukemia2003;17:2257). PCR clonal products were sequenced on an ABI Prism 377 Sequence detector. VH, DH and JH segments were identified by comparing with germinal sequences on V-Base and BLAST databases. An ASO primer at the N-region was designed for each patient with the OLIGO 6.0 software. RQ-PCR was then performed on an ABI Prism 7700 using the ASO specific forward primer, a JH reverse intronic primer (JH1–6) and a TaqMan probe (JH1,2,4,5, JH3 or JH6) to amplify the patient specific rearrangement. Sample quality and quantity was controlled evaluating the standard curve of the albumin gene amplification. MRD was calculated according to ΔCT method. RESULTS: In 14 out of the cases included in the study, MRD investigation was not possible because the N-region was not longer enough to design the ASO primer (n=3), poor quality in the diagnostic sample to obtain the standard curve (n=8) or low plasma cell infiltration at diagnosis to obtain correct dilutions (n=3). The remaining 24 patients were classified into different risk groups according to the MRD level obtained 3 months after transplantation with a cut-off point of 0.01% tumor cells. Thus, progression free survival (PFS) was longer in those patients with MRD< 10−4 (p=0.03, figure 1A). By contrast, upon comparing the impact on PFS of immofixation (IFX) in these 24 patients that were in CR (defined by conventional electrophoresis criteria), it was observed that patients with IFX (−) didn’t showed a different outcome from those IFX (+) (figure 1B). CONCLUSION: In summary, although RQ-PCR is a labor and time-consuming technique, it is an useful tool for monitoring MRD in MM. The level of 10−4 can contribute to classify patients into 2 groups (high and low MRD) with different risk of relapse that can be used to design specific therapies.
Acute promyelocytic leukaemia (APL) is characterised by the t(15;17) leading to the fusion of the PML gene with the retinoic acid receptor a (RARa) gene. APL is associated with favourable prognosis, however, approximately 15–20% of patients ultimately relapse. With regards to pre-treatment characteristics, is now clear that long-established prognostic factors such as age and leukocyte count have a major impact on outcome. However, none of these parameters is robust enough, in order to adjust treatments strategies according to the risk of relapse. The quantification of PML-RARa fusion gene transcripts (leukemia-specific chimeric mRNA) can add important prognostic information useful for risk group stratification. However, few clinical studies have been carried out and there are discrepancies concerning the prognostic significance of the quantification of fusion gene transcripts of newly diagnosed patients. In this study we tested the PML- RARa fusion gene transcripts level in 126 newly diagnosed patients with t (15;17) in order to determine their correlation with disease characteristics at presentation and to identify a subset of patients at high risk of relapse. The presence of the PML- RARa fusion gene transcripts was analysed from 1mg of RNA by real-time quantitative RT-PCR (RQ-PCR) based on TaqMan probes and the 7700 Sequence Detector, performed according to the “Europe Against Cancer Program” (Leukemia2003, 17:2323; 2318–2357). Results: In 121 out of 126 patients, evaluable data were obtained: 73 (60,3%) cases had bcr-1, 4 (3,3%) cases had bcr-2 and 44 (36,4%) cases had bcr-3 fusion types. The expression of the fusion gene was reported as the PML- RARa normalized quantities (NQ, number of PML- RARa copies per 1x104 ABL copies as gene control). The median of NQ was 3030 and the expression was highly variable (range of 826 to 9605). The NQ was not significantly associated with disease characteristic at diagnosis, such as age, percentage of blasts cells, fusion types and platelet counts. Nevertheless, patients with NQ above 3000 had lower white cell counts (7,4±12,1 vs 24,2±39,3x109/L, p=0,03). Therefore, the fusion transcript copy number per leukemic cell was higher in patients with lower leukocyte count. Moreover, in survival analysis, the NQ did not correlate with disease free survival or overall survival. Conclusions: Our data confirms the wide range of differences in expression activity between individual patients. The NQ did not correlate with the clinical and biological disease characteristics except for white cell counts. Neither did it correlate with principal prognostic parameters (response and survival).
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