272. Poziom białka S-100 u chorych na czerniaka złośliwego w III i IV stopniu zaawansowania klinicznego

Cel pracyBiałko S-100 występuje fizjologicznie w komórkach układu nerwowego, mięśniach prążkowanych, makrofagach i melanocytach. Obecność tego białka stwierdzono również w komórkach czerniaka złośliwego. S-100 jest rutynowo stosowane do identyfikacji komórek czerniaka w diagnostyce histopatologicznej. W ostatnich latach stwierdzono podwyższony poziom białka S-100 we krwi obwodowej u chorych na czerniaka złośliwego. Celem pracy było porównanie poziomu białka S-100 w surowicy chorych na czerniaka w III i IV stopniu zaawansowania klinicznego.Materiał i metodyBadania przeprowadzono w grupie pacjentów, leczonych z powodu czerniaka w Wielkopolskim Centrum Onkologii. Diagnoza i stopień zaawansowania choroby były potwierdzone badaniami histopatologicznymi, klinicznymi i technikami obrazowymi (RTG, USG, TK). Oznaczenie poziomu białka S-100 wykonano w surowicy krwi chorych (44 pacjentów w III stopniu i 41 pacjentów w IV stopniu zaawansowania klinicznego) metodą immunoluminometryczną przy użyciu zestawu Liaison Sangtec S100. Równocześnie przeprowadzono badania kontrolne w surowicy krwi osób zdrowych (n=16). Jako punkt odcięcia (cut-off) przyjęto wartość zalecaną przez producenta 0.15 μg/1.WynikiPodwyższony poziom białka S-100 powyżej wartości cut-off (0,15 μg/l) stwierdzono u 15 z 44 (34%) pacjentów w III stopniu i u 32 z 41 (78%) pacjentów w IV stopniu zaawansowania klinicznego. Analiza statystyczna potwierdziła znamienną statystycznie różnicę między stężeniem białka S-100 w surowicach pochodzących od pacjentów w III i IV stopniu. Czułość stosowanej metody wyniosła 55%, swoistość 100%, dodatnia wartość predykcyjna 100%, ujemna wartość predykcyjna 30%.WnioskiWyniki badań wskazują, że oznaczanie poziomu białka S-100 w surowicy może być dodatkowym wskaźnikiem laboratoryjnym w ocenie stopnia zaawansowania klinicznego chorych na czerniaka złośliwego

Comprehensive molecular characterization of gastric adenocarcinoma

Gastric cancer is a leading cause of cancer deaths, but analysis of its molecular and clinical characteristics has been complicated by histological and aetiological heterogeneity. Here we describe a comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project. We propose a molecular classification dividing gastric cancer into four subtypes: tumours positive for Epstein–Barr virus, which display recurrent PIK3CA mutations, extreme DNA hypermethylation, and amplification of JAK2, CD274 (also known as PD-L1) and PDCD1LG2 (also knownasPD-L2); microsatellite unstable tumours, which show elevated mutation rates, including mutations of genes encoding targetable oncogenic signalling proteins; genomically stable tumours, which are enriched for the diffuse histological variant and mutations of RHOA or fusions involving RHO-family GTPase-activating proteins; and tumours with chromosomal instability, which show marked aneuploidy and focal amplification of receptor tyrosine kinases. Identification of these subtypes provides a roadmap for patient stratification and trials of targeted therapies

Detection of circulating tumour cells in the breast cancer using CytoTrack system

Introduction: Plants are a rich source of healing substances. Cancer is a leading cause of death worldwide while breast cancer is the most common cancer among women. Circulating tumour cells (CTCs) are potential founder cells for metastasis. Therefore, their assessment may be used for monitoring of treatment as well as detecting cancer metastatis. Hence, it is suggested that the number of CTCs may be a valuable tumour biomarker during therapy. Objective: The purpose of this study was to detect CTCs in breast cancer and to validate the method of assessment of CTC count using CytoTrack CT11 technology. Methods: MCF-7 cells were sorted by a FACSARIA flow cytometer from blood samples derived from patients who have not been diagnosed with cancer. Identification and quantitative assessment of MCF-7 cells in blood samples were determined by flow sorting. Then, blood samples containing MCF-7 cells or without MCF-7 were scanned with the use of an automated fluorescence scanning microscope. Results: In in vitro model analysing the glass CytoDisc™ with stained MCF-7 cells, we noted the correlation between the amount of observed tumour cells and expected number of tumour cells. Moreover, coefficient of variation in case of the recovery rate of the assumed number of MCF-7 cells was 30%, 17%, 18% and 15%, respectively. Conclusion: Our study suggest that CTCs could be predictive factor in patients with metastatic cancer especially in breast cancer

Detection of circulating tumour cells in the breast cancer using CytoTrack system

Introduction: Plants are a rich source of healing substances. Cancer is a leading cause of death worldwide while breast cancer is the most common cancer among women. Circulating tumour cells (CTCs) are potential founder cells for metastasis. Therefore, their assessment may be used for monitoring of treatment as well as detecting cancer metastatis. Hence, it is suggested that the number of CTCs may be a valuable tumour biomarker during therapy. Objective: The purpose of this study was to detect CTCs in breast cancer and to validate the method of assessment of CTC count using CytoTrack CT11 technology. Methods: MCF-7 cells were sorted by a FACSARIA flow cytometer from blood samples derived from patients who have not been diagnosed with cancer. Identification and quantitative assessment of MCF-7 cells in blood samples were determined by flow sorting. Then, blood samples containing MCF-7 cells or without MCF-7 were scanned with the use of an automated fluorescence scanning microscope. Results: In in vitro model analysing the glass CytoDisc™ with stained MCF-7 cells, we noted the correlation between the amount of observed tumour cells and expected number of tumour cells. Moreover, coefficient of variation in case of the recovery rate of the assumed number of MCF-7 cells was 30%, 17%, 18% and 15%, respectively. Conclusion: Our study suggest that CTCs could be predictive factor in patients with metastatic cancer especially in breast cancer

Impact of COVID-19 on the performance of a radiation oncology department at a major comprehensive cancer centre in Poland during the first ten weeks of the epidemic

The outbreak of SARS-CoV-2 coronavirus rapidly altered radiotherapy service delivery around the world.AimThe main objective of this study was to assess the impact of precautionary measures implemented in response to the COVID-19 pandemic on the performance of a radiation oncology departments and on mitigation the risk of COVID-19 contagion between and among patients and staff.MethodsThe study period was from March 15 until May 22, 2020. We evaluated total number of patients irradiated and those who initiated treatments, taking into account tumours localisations. We assessed the relationship of potential risk of contagion with patients’ domiciles locations in regions with high number of COVID19 case.Results and conclusionsThe number of patients treated with radiotherapy during the study period decreased due to precautionary measures. After five weeks, the number of radiotherapy treatments began to increase. Just over half of the radiotherapy patients (53.5%) treated at the GPCC reside in the city of Poznan or in one of the ten surrounding counties where COVID19 incidence was low and reached at the end of the study period cumulative number of cases n = 204. The precautionary measures were effective qRT-PCR tests were performed in 1545 individuals (patients and hospital staff) revealing four staff members and none patient with a positive PCR result. Immunoglobulin testing was performed in 1132 individuals (patients and hospital staff). A total of 63 individuals were positive for antibodies

Genomic Classification of Cutaneous Melanoma

We describe the landscape of genomic alterations in cutaneous melanomas through DNA, RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 patients. We establish a framework for genomic classification into one of four sub-types based on the pattern of the most prevalent significantly mutated genes: mutant BRAF, mutant RAS, mutant NF1, and Triple-WT (wild-type). Integrative analysis reveals enrichment of KIT mutations and focal amplifications and complex structural rearrangements as a feature of the Triple-WT subtype. We found no significant outcome correlation with genomic classification, but samples assigned a transcriptomic subclass enriched for immune gene expression associated with lymphocyte infiltrate on pathology review and high LCK protein expression, a T cell marker, were associated with improved patient survival. This clinicopathological and multidimensional analysis suggests that the prognosis of melanoma patients with regional metastases is influenced by tumor stroma immunobiology, offering insights to further personalize therapeutic decision-makingclose3

Comprehensive molecular characterization of gastric adenocarcinoma

Gastric cancer is a leading cause of cancer deaths, but analysis of molecular and clinical characteristics has been complicated by histological and aetiological heterogeneity. Here we describe a comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project. We propose a molecular classification dividing gastric cancer into four subtypes: tumours positive for Epstein-Barr virus, which display recurrent PIK3CA mutations, extreme DNA hypermethylation, and amplification of JAK2, CD274 (also known as PD-L1) and PDCD1LG2 (also known as PD-L2); microsatellite unstable tumours, which show elevated mutation rates, including mutations of genes encoding targetable oncogenic signalling proteins; genomically stable tumours, which are enriched for the diffuse histological variant and mutations of RHOA or fusions involving RHO-family GTPase-activating proteins; and tumours with chromosomal instability, which show marked aneuploidy and focal amplification of receptor tyrosine kinases. Identification of these subtypes provides a roalmap for patient stratification and trials of targeted therapiesclose19