Mnogie ogniska osteolityczne — trudności diagnostyczne. Opis przypadku

Multiple osteolytic foci in patient with cachexia and anaemia strongly suggest the diagnosis of disseminatedneoplastic disease. We present the case of an 85-year-old woman in whom only histopatologicexamination of a bone lesion in combination with clinical and biochemical data allowed to establish properdiagnosis of primary hyperparathyroidism.Mnogie ogniska osteolityczne u pacjenta z kacheksją i niedokrwistością sugerują rozpoznanie rozsianej choroby nowotworowej. Przedstawiamy przypadek 85-letniej takiej chorej, u której dopiero badanie histopatologiczne zmiany w kości w połączeniu z danymi klinicznymi i biochemicznymi pozwoliło na postawienie właściwego rozpoznania- pierwotnej nadczynności przytarczyc

Results of Polish Adult Leukemia Study Group (PALG) project assessing TP53 mutations with next-generation sequencing technology in relapsed and refractory chronic lymphocytic leukemia patients — an 18-month update

Indtroduction and methods: In chronic lymphocytic leukemia (CLL), molecular and cytogenetic diagnostics are crucial for the determination of accurate prognosis and treatment choice. Among different genetic aberrations, del(17p13) or TP53 mutations constitute high-risk factors, and early identification of such defects is a high priority for CLL patients. While cytogenetic diagnostics is well-established and accessible for the majority of CLL patients in Poland, molecular diagnostics of TP53 mutations is performed only in a few ERIC-certified centers (eight as of September 2020), and only two of these employ next-generation sequencing (NGS) for routine analysis of TP53 status in CLL patients. Here we report the interim results of a project assessing TP53 mutations with NGS technology in relapsed or refractory CLL patients with confirmed negative del(17p13) status. 249 patients from 32 clinical centers were included in the study. Results: NGS analysis revealed TP53 mutations in 42/249 (17%) patients, half of whom (21/249, 8.5%) had subclonal mutations (VAF ≤10%). These results are in line with published data in relapsed/refractory CLL patients. Conclusions: The results of the project demonstrated the feasibility and accuracy of NGS testing in CLL patients despite several initial logistical and technical obstacles. Our study also proved that, with appropriate funding, CLL patients from any hematological center in Poland can have access to state-of-the-art molecular diagnostic

To treat or not to treat: metabolomics reveals biomarkers for treatment indication in chronic lymphocytic leukaemia patients

In chronic lymphocytic leukaemia (CLL), the clinical course of patients is heterogeneous. Some present an aggressive disease onset and require immediate therapy, while others remain without treatment for years. Current disease staging systems developed by Rai and Binet may be useful in forecasting patient survival time, but do not discriminate between stable and progressive forms of the disease in the early stages. Recently ample attention has been directed towards identifying new disease prognostic markers capable of predicting clinical aggressiveness at diagnosis. In the present study serum samples from stable (n = 51) and progressive (n = 42) CLL patients and controls (n = 45) were used with aim to discover metabolic indicators of disease status. First an LC-MS based metabolic fingerprinting method was used to analyse selected samples in order to find a potential markers discriminating aggressive from indolent patients. Ten of these discovered markers were validated on the whole set of samples with an independent analytical technique. Linoleamide (p = 0.002) in addition to various acylcarnitines (p = 0.001–0.000001) showed to be significant markers of CLL in its aggressive form. Acetylcarnitine (p = 0.05) and hexannoylcarnitine (p = 0.005) were also distinguishable markers of indolent subjects. Forming a panel of selected acylcarnitines and fatty acid amides, it was possible to reach a potentially highly specific and sensitive diagnostic approach (AUC = 0.766)