36 research outputs found

    Everolimus in patients with metastatic renal cell carcinoma previously treated with bevacizumab: a prospective multicenter study CRAD001LRU02T⃰

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    Everolimus is an orally administered inhibitor of the mammalian target of rapamycin (mTOR) recommended for patients with metastaticΒ renal cell carcinoma (mRCC) who progressed on previous vascular endothelial growth factor (VEGF) receptor-tyrosine kinase inhibitorΒ therapy. Efficacy of everolimus in patients who progressed on anti-VEGF monoclonal antibody bevacizumab is unknown. We did a multicenter prospective trial of everolimus in patients with mRCC whose disease had progressed on bevacizumab Β± interferon alpha (IFN). Patients with clear-cell mRCC which had progressed on bevacizumab Β± IFN received everolimus 10 mg once daily. The primary end point was the proportion of patients remaining progression-free for 56 days, and a two-stage Simon design was used, with 80 % power and an alpha risk of 5 %. This study is registered with ClinicalTrials.gov, number NCT02056587. From December 2011 to October 2013, a total of 37 patients (28 M, 9 F) were enrolled. Median age was 60.5 years (range 41-66), 11 % had Eastern Cooperative Oncology Group Performance Status (ECOG PS) > 2, and Memorial Sloan-Kettering Cancer Center (MSKCC) favorable/intermediate risk was 38/62 %. Five (14 %) patients had a confirmed partial response and 26 (70 %) patients had a stable disease. Median progression-free survival was 11.5 months (95 % CI, 8.8–14.2). Median overall survival was not reached. No grade 3 or 4 treatment-related toxicities were observed. The most common grade 2 adverse events were fatigue (19 %) and pneumonitis (8 %). Everolimus demonstrated a favorable toxicity profile and promising anti-tumor activity as a second-line therapy in metastatic renal cell carcinoma (RCC) patients previously treated with bevacizumab Β± IFN

    Polymorphism of CLE gene sequences in potato

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    CLE (CLV3/ESR) is one of the most important groups of peptide phytohormones: its members regulate the development of various plant organs and tissues, as well as interaction with some parasites and symbionts and response to environmental factors. In this regard, the identification and study of the CLE genes encoding the peptides of this group in cultivated plants are of great practical interest. Relatively little is known about the functions of CLE peptides in potato, since the CLE genes of the potato Solanum phureja Juz. et Buk. were characterized only in 2021. At the same time, potato includes plenty of tuberous species of the genus Solanum L., both wild and cultivated, and the diversity of its forms may depend on differences in the sequences of CLE genes. In this work, we performed a search for and analysis of the CLE gene sequences in three wild potato species (S. bukasovii Juz., S.Β verrucosum Schltdl., S. commersonii Dunal) and four cultivated species (S. chaucha Juz. et Buk., S. curtilobum Juz. et Buk., S. juzepczukii Juz. et Buk., S. ajanhuiri Juz. et Buk.). In total, we identified 332 CLE genes in the analyzed potato species: from 40 to 43 genes of this family for each potato species. All potato species taken for analysis had homologues of previously identified S. phureja CLE genes; at the same time, the CLE42 gene, which is absent from the S.Β phureja genome, is present in all other analyzed potato species. Polymorphism of CLE proteins of S. commersonii is significantly higher than that of other analyzed potato species, due to the fact that S. commersonii grows in places outside the growing areas of other potato species and this potato is probably not one of the ancestors of cultivated potato. We also found examples of polymorphism of domains of CLE proteins that carried different functions. Further study of potato CLE proteins will reveal their role in development, including regulation of productivity in this important agricultural crop

    Effect of colchicine on physiological and biochemical properties of <i>Rhodococcus qingshengii</i>

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    The genus Rhodococcus includes polymorphic non-spore-forming gram-positive bacteria belonging to the class Actinobacteria. Together with Mycobacterium and Corynebacterium, Rhodococcus belongs to the Mycolata group. Due to their relatively high growth rate and ability to form biof ilms, Rhodococcus are a convenient model for studying the effect of biologically active compounds on pathogenic Mycolata. Colchicine was previously found to reduce biof ilm formation by P. carotovorum VKM B-1247 and R. qingshengii VKM Ac-2784D. To understand the mechanism of action of this alkaloid on the bacterial cell, we have studied the change in the fatty acid composition and microviscosity of the R. qingshengii VKM Ac-2784D membrane. Nystatin, which is known to reduce membrane microviscosity, is used as a positive control. It has been found that colchicine at concentrations of 0.01 and 0.03 g/l and nystatin (0.03 g/l) have no signif icant effect on the survival of R. qingshengii VKM Ac-2784D cultivated in a buffered saline solution with 0.5 % glucose (GBSS). However, colchicine (0.03 g/l) signif icantly inhibits biof ilm formation. Rhodococcus cells cultivated for 24 hours in GBSS with colchicine acquire a rounded shape. Colchicine at 0.01 g/l concentration increases C16:1(n-7), C17:0, C20:1(n-9) and C21:0 fatty acids. The microviscosity of the membrane of individual cells was distributed from the lowest to the highest values of the generalized laurdan f luorescence polarization index (GP), which indicates a variety of adaptive responses to this alkaloid. At a higher concentration of colchicine (0.03 g/l) in the membranes of R. qingshengii VKM Ac-2784D cells, the content of saturated fatty acids increases and the content of branched fatty acids decreases. This contributes to an increase in membrane microviscosity, which is conf irmed by the data on the GP fluorescence of laurdan. All of the above indicates that colchicine induces a rearrangement of the Rhodococcus cell membrane, probably in the direction of increasing its microviscosity. This may be one of the reasons for the negative effect of colchicine on the formation of R. qingshengii VKM Ac-2784D biof ilms

    ЗлокачСствСнныС новообразования Ρ‚Ρ€Π°Ρ…Π΅ΠΈ, Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ², Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ Π‘ΠΈΠ±ΠΈΡ€ΠΈ ΠΈ Π”Π°Π»ΡŒΠ½Π΅Π³ΠΎ Востока: эпидСмиологичСскиС аспСкты

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    Epidemiology of lung cancer in Siberia and Russian Far East.ЗлокачСствСнныС новообразования Ρ‚Ρ€Π°Ρ…Π΅ΠΈ, Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ², Π»Π΅Π³ΠΊΠΎΠ³ΠΎ Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ Π‘ΠΈΠ±ΠΈΡ€ΠΈ ΠΈ Π”Π°Π»ΡŒΠ½Π΅Π³ΠΎ Востока: эпидСмиологичСскиС аспСкты

    Π­ΠŸΠ˜Π”Π•ΠœΠ˜ΠžΠ›ΠžΠ“Π˜Π― РАКА ПОЧКИ Π’ ПРИМОРБКОМ ΠšΠ ΠΠ•

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    Results of epidemiological study on kidney cancer incidence among the population of the Primorsky Krai are presented. Methods of mathematical statistics recommended by the Ministry of Public Health were used. Within the first 5 years of the period 1994 to 2008, thekidney cancer incidence rate increased from 8,3 0/0000 to 12,5 0/0000 in men and from 4,4 0/0000 to 6,6 0/0000 in women, being the 8th most common cancer in men and the 11th most common cancer in women. The highest incidence rate was observed at the age of 55–59 years. The kidney cancer incidence rate in children for the period 1994–2008 was 1,8 0/0000, reaching peak incidence at age 0–4. Kidney cancer is the third most common cancer following hemoblastosis and brain tumors in children of this age group.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ эпидСмиологичСского исслСдования заболСваСмости Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡ΠΊΠΈ насСлСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ возраста ΠΈ ΠΏΠΎΠ»Π°. Использовались ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ матСматичСской статистики, Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡƒΠ΅ΠΌΡ‹Π΅ ΠœΠ—. Π—Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ 1994–2008 Π³Π³. Π·Π°Π±ΠΎΠ»Π΅-Π²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡ΠΊΠΈ выросла Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ с 8,3 0/0000 Π² ΠΏΠ΅Ρ€Π²ΠΎΠΉ пятилСткС  рассматриваСмого ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° Π΄ΠΎ 12,5 0/0000, Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с 4,8 0/0000 Π΄ΠΎ 6,6 0/0000 соотвСтствСнно. ΠŸΡ€ΠΈ этом Π² структурС онкологичСской заболСваСмости эта локализация ΠΏΠ΅Ρ€Π΅ΠΌΠ΅ΡΡ‚ΠΈΠ»Π°ΡΡŒ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ с 10-Π³ΠΎ мСста Π½Π° 8-Π΅, Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ – с 12-Π³ΠΎ Π½Π° 11-Π΅ мСсто. Π‘Π°ΠΌΡ‹ΠΉ высокий рост заболСваСмости ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ Π² возрастС 55–59 Π»Π΅Ρ‚. ВыявлСн ΠΏΠΈΠΊ заболСваСмости Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ Π² возрастС 0–4 Π³ΠΎΠ΄Π°, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΊ 2004–2008 Π³Π³. составил 1,8 0/0000 ΠΈ Π² структурС онкологичСской заболСваСмости этой возрастной Π³Ρ€ΡƒΠΏΠΏΡ‹ занял 3-Π΅ мСсто послС гСмобластозов ΠΈ ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°

    ΠŸΡΡ‚ΠΈΠ»Π΅Ρ‚Π½ΡΡ общая Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… мСтастатичСским Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡ΠΊΠΈ, ΠΏΠΎΠ»ΡƒΡ‡Π°Π²ΡˆΠΈΡ… эвСролимус ΠΏΡ€ΠΈ прогрСссировании Π½Π° Ρ„ΠΎΠ½Π΅ лСчСния Π±Π΅Π²Π°Ρ†ΠΈΠ·ΡƒΠΌΠ°Π±ΠΎΠΌ: проспСктивноС ΠΌΠ½ΠΎΠ³ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²ΠΎΠ΅ исслСдованиС CRAD001LRU02T

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    Background. In a CRAD001LRU02T study of everolimus for metastatic renal cell carcinoma patients previously treated with bevacizumab Β±Β  interferon, median overall survival (OS) was 17.4 months (95 % confidence interval 13.5–21.3 month).Objective of final analysis was to evaluate 5-year OS and long-term toxicity in this study.Materials and methods. Survival data were collected from 37 patients with bevacizumab-refractory metastatic renal cell carcinoma who received everolimus in a completed prospective multicenter study. Patients were predominantly male, 89 % had ECOG performance status of 0/1, 51 % received previous bevacizumab in combination with interferon, and 38/62% had MSKCC favorable/intermediate risk disease.Results. The 5-year survival rate was 16.2% (95 % confidence interval 14.1–18.3 %), with a median follow-up of 5 years. The 1-, and 3-year OS rates were 81.0 and 43.0 %, respectively. The median duration of second-line of everolimus was 315 (range 61–569) days. 11 (29.7 %) patients received third-line therapy with a median duration of 3.6 months. Confirmed objective tumor responses were seen in 5 (14.0 %) patients. 70.0 % (n = 26) patients had a stable disease. 1 (2.7 %) patient achieved complete response after 4 years of therapy. One (2.7 %) patientΒ  discontinued everolimus therapy on their own accord due to relapse of systemic lupus erythematosus and one (2.7 %)Β  patient had 14-days interruption of an everolimus therapy due to grade 3 hyperglycemia. No grade 4 treatment-related toxicity was found.Conclusions. Everolimus provided an estimated 5-year survival rate of 16.2 % for bevacizumab-resistant metastatic renal cell carcinoma. Prolonged everolimus was not associated with new types or increased severity of adverse events.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Π’ исслСдовании CRAD001LRU02T эффСктивности эвСролимуса Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… мСтастатичСским ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΎ-ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹ΠΌ Ρ€Π°ΠΊΠΎΠΌ, ΠΏΠΎΠ»ΡƒΡ‡Π°Π²ΡˆΠΈΡ… Ρ€Π°Π½Π΅Π΅ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ Π±Π΅Π²Π°Ρ†ΠΈΠ·ΡƒΠΌΠ°Π±ΠΎΠΌ Π² ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ с ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€ΠΎΠ½ΠΎΠΌ ΠΈΠ»ΠΈ Π±Π΅Π· Π½Π΅Π³ΠΎ, ΠΌΠ΅Π΄ΠΈΠ°Π½Π° ΠΎΠ±Ρ‰Π΅ΠΉ выТиваСмости (ΠžΠ’) составила 17,4 мСс (95 % Π΄ΠΎΠ²Π΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π» 13,5–21,3 мСс).ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ – ΠΎΡ†Π΅Π½ΠΊΠ° 5-Π»Π΅Ρ‚Π½Π΅ΠΉ ΠžΠ’ ΠΈ ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½ΠΎΠΉ токсичности Π² этом исслСдовании.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π”Π°Π½Π½Ρ‹Π΅ ΠΏΠΎ ΠžΠ’ Π±Ρ‹Π»ΠΈ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ Ρƒ 37 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ€Π΅Ρ„Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Ρ‹Ρ… ΠΊ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π±Π΅Π²Π°Ρ†ΠΈΠ·ΡƒΠΌΠ°Π±ΠΎΠΌ ΠΈ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ²ΡˆΠΈΡ… эвСролимус Π² Ρ€Π°ΠΌΠΊΠ°Ρ… проспСктивного ΠΌΠ½ΠΎΠ³ΠΎΡ†Π΅Π½Ρ‚Ρ€ΠΎΠ²ΠΎΠ³ΠΎ исслСдования. Π‘ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²ΠΎ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² – ΠΌΡƒΠΆΡ‡ΠΈΠ½Ρ‹, 89 % Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈΠΌΠ΅Π»ΠΈ статус ΠΏΠΎ шкалС ECOG 0 / 1, 51 % ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ»ΠΈ ΠΏΡ€Π΅Π΄ΡˆΠ΅ΡΡ‚Π²ΡƒΡŽΡ‰ΡƒΡŽ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ Π±Π΅Π²Π°Ρ†ΠΈΠ·ΡƒΠΌΠ°Π±ΠΎΠΌ Π² ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ с ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€ΠΎΠ½ΠΎΠΌ. Благоприятный ΠΏΡ€ΠΎΠ³Π½ΠΎΠ· ΠΈΠΌΠ΅Π»ΠΈ 38 % Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ…, ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΎΡ‡Π½Ρ‹ΠΉ – 62 %.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΈ ΠΌΠ΅Π΄ΠΈΠ°Π½Π΅ наблюдСния 5 Π»Π΅Ρ‚ 5-лСтняя ΠžΠ’ составила 16,2 % (95 % Π΄ΠΎΠ²Π΅Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π» 14,1–18,3 %),Β  1- ΠΈ 3-лСтняя ΠžΠ’ – 81,0 ΠΈ 43,0 % соотвСтствСнно. МСдиана ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ 2-ΠΉ Π»ΠΈΠ½ΠΈΠΈ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ эвСролимусом составила 315 (61–569) сут. Π‘ ΠΌΠ΅Π΄ΠΈΠ°Π½ΠΎΠΉ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ 3,6 мСс 3-ю линию Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ»ΠΈ 11 (29,7 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². ΠŸΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½Π½Ρ‹Π΅ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹Π΅ ΠΎΡ‚Π²Π΅Ρ‚Ρ‹ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ Ρƒ 5 (14,0 %) Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ…. Бтабилизация Π±ΠΎΠ»Π΅Π·Π½ΠΈ наблюдалась Ρƒ 70,0 % (n = 26) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². Полного ΠΎΡ‚Π²Π΅Ρ‚Π° спустя 4 Π³ΠΎΠ΄Π° Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ достиг 1 (2,7 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚. Из-Π·Π° обострСния систСмной красной Π²ΠΎΠ»Ρ‡Π°Π½ΠΊΠΈ 1 (2,7 %) больной ΠΏΠΎ собствСнному ТСланию ΠΏΡ€Π΅ΠΊΡ€Π°Ρ‚ΠΈΠ» Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ эвСролимусом ΠΈ 1 (2,7 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ ΠΈΠΌΠ΅Π» ΠΏΠ΅Ρ€Π΅Ρ€Ρ‹Π² Π² Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 14 сут Π² связи с Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ΠΌ Π³ΠΈΠΏΠ΅Ρ€Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠΈ III стСпСни токсичности. ΠΠ΅ΠΆΠ΅Π»Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… явлСний IV стСпСни тяТСсти Π½Π΅ выявлСно.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ВСрапия эвСролимусом ΠΏΡ€ΠΈΠ²Π΅Π»Π° ΠΊ 5-Π»Π΅Ρ‚Π½Π΅ΠΉ ΠžΠ’ 16,2 % Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… мСтастатичСским ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΎ-ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹ΠΌ Ρ€Π°ΠΊΠΎΠΌ, Ρ€Π°Π½Π΅Π΅ рСзистСнтных ΠΊ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π±Π΅Π²Π°Ρ†ΠΈΠ·ΡƒΠΌΠ°Π±ΠΎΠΌ. Π”Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ тСрапия эвСролимусом Π½Π΅ Π±Ρ‹Π»Π° ассоциирована с Π½ΠΎΠ²Ρ‹ΠΌΠΈ Π²ΠΈΠ΄Π°ΠΌΠΈ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠΉ токсичности ΠΈΠ»ΠΈ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ΠΌ частоты Π½Π΅ΠΆΠ΅Π»Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… явлСний

    Π­Ρ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡ‚ΡŒ ΠΎΡ€Π³Π°Π½ΠΎΡΠΎΡ…Ρ€Π°Π½ΡΡŽΡ‰ΠΈΡ… ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈΜ† ΠΏΡ€ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΌ Ρ€Π°ΠΊΠ΅ ΠΏΠΎΡ‡ΠΊΠΈ

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    Objective: to evaluate the efficiency of surgical treatment in patients with locally advanced kidney cancer (KC), by comparing the immediate and late results of organ-sparing surgery (OSS) and nephrectomies. Subjects and methods. The results of surgical treatment were analyzed in 251 patients with KC who had undergone OSS (n = 124) or nephrectomy (n = 127). The groups were matched for gender, age, stage, and baseline glomerular filtration rate. Surgical complications were evaluated according to the Clavien-Dindo classification. Survival rates were calculated using the Kaplan-Meier method.Β Results. There were no significant differences between the two patient groups in the amount of blood loss (median 300 ml) and in the hospital length of stay. The median renal ischemia time was 15.0Β±3.4 min. Complications after OSS and nephrectomies occurred in 10.4 and 4.7% of cases. The OSS group was found to tend to have higher 5-year overall survival rates (89.1%) than the nephrectomy group (70.6%) (p = 0.248). Conclusion. OSS is an effective, safe treatment option for KC, at the same time it is still inadequately frequently used in wide clinical practice. The OSS group was found to tend to have higher 5-year overall and relapse-free survival rates than the nephrectomy group (p &gt; 0.05). ЦСль исслСдования – ΠΎΡ†Π΅Π½ΠΊΠ° эффСктивности хирургичСского лСчСния Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π»ΠΎΠΊΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡ΠΊΠΈ (РП) ΠΏΡƒΡ‚Π΅ΠΌ сравнСния нСпосрСдствСнных ΠΈ ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΎΡ€Π³Π°Π½ΠΎΡΠΎΡ…Ρ€Π°Π½ΡΡŽΡ‰ΠΈΡ… ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈΜ† (ОБО) ΠΈ нСфрэктомий. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² хирургичСского лСчСния 251 больного РП, ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π½ΡƒΡ‚Ρ‹ΠΌ ОБО (n = 124) ΠΈΠ»ΠΈ нСфрэктомии (n = 127). Π“Ρ€ΡƒΠΏΠΏΡ‹ сопоставимы ΠΏΠΎ ΠΏΠΎΠ»Ρƒ, возрасту, стадии, исходной скорости ΠΊΠ»ΡƒΠ±ΠΎΡ‡ΠΊΠΎΠ²ΠΎΠΈΜ† Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ. Π₯ирургичСскиС ослоТнСния ΠΎΡ†Π΅Π½Π΅Π½Ρ‹ ΠΏΠΎ классификации Clavien–Dindo. ΠžΡ†Π΅Π½ΠΊΠ° выТиваСмости рассчитана ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρƒ ΠšΠ°ΠΏΠ»Π°Π½Π°β€“ΠœΠ°ΠΈΜ†Π΅Ρ€Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ ΠΎΠ±Π΅ΠΈΡ… Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π½Π΅ выявлСно Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Ρ… Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠΈΜ† Π² объСмС ΠΊΡ€ΠΎΠ²ΠΎΠΏΠΎΡ‚Π΅Ρ€ΠΈ (ΠΌΠ΅Π΄ΠΈΠ°Π½Π° – 300 ΠΌΠ») ΠΈ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ госпитализации. МСдиана Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ ишСмии ΠΏΠΎΡ‡ΠΊΠΈ составила 15,0 Β± 3,4 ΠΌΠΈΠ½. ОслоТнСния ΠΏΡ€ΠΈ ОБО Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΈΡΡŒ Π² 10,4 %, послС нСфрэктомий – Π² 4,7 % случаСв. Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ ОБО выявлСна тСндСнция ΠΊ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΡŽ 5-Π»Π΅Ρ‚Π½Π΅ΠΈΜ† ΠΎΠ±Ρ‰Π΅ΠΈΜ† выТиваСмости (89,1 %) ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Π±ΠΎΠ»ΡŒΠ½Ρ‹ΠΌΠΈ, ΠΏΠ΅Ρ€Π΅Π½Π΅ΡΡˆΠΈΠΌΠΈ Π½Π΅Ρ„Ρ€ΡΠΊΡ‚ΠΎΠΌΠΈΡŽ (70,6 %; Ρ€ = 0,248).Β Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ОБО ΡΠ²Π»ΡΡŽΡ‚ΡΡ эффСктивным, бСзопасным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ лСчСния РП, ΠΏΡ€ΠΈ этом всС Π΅Ρ‰Π΅ нСдостаточно часто ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡŽΡ‚ΡΡ Π² ΡˆΠΈΡ€ΠΎΠΊΠΎΠΈΜ† клиничСской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅. Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ОБО выявлСна тСндСнция ΠΊ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΡŽ 5-Π»Π΅Ρ‚Π½Π΅ΠΈΜ† ΠΎΠ±Ρ‰Π΅ΠΈΜ† ΠΈ Π±Π΅Π·Ρ€Π΅Ρ†ΠΈΠ΄ΠΈΠ²Π½ΠΎΠΈΜ† выТиваСмости ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Π±ΠΎΠ»ΡŒΠ½Ρ‹ΠΌΠΈ, ΠΏΠ΅Ρ€Π΅Π½Π΅ΡΡˆΠΈΠΌΠΈ Π½Π΅Ρ„Ρ€ΡΠΊΡ‚ΠΎΠΌΠΈΡŽ (Ρ€ &gt; 0,05).

    ΠœΠžΠ”Π•Π›Π¬ ΠžΠ Π“ΠΠΠ˜Π—ΠΠ¦Π˜Π˜ РАННЕЙ Π”Π˜ΠΠ“ΠΠžΠ‘Π’Π˜ΠšΠ˜ РАКА ПОЧКИ

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    Β Challenges of early kidney cancer detection and screening significantly increase morbidity and mortality rates, thus dictating the need to improve prevention, early diagnosis and organization of medical care for the population of primorsky Krai. The aim of the study was to create a model for improving early diagnosis of kidney cancer in the primorsky Krai using the program for assessing the risk of kidney cancer (ARKC). The model included a population questionnaire to identify risk factors and algorithm of patient routing (Β«roadmapΒ») with suspected kidney cancer for in-depth examination and treatment. Material and Methods. 2982 residents of the primorsky Krai (women – 1950, men – 1032) in the age range 29–75 took part in the questionnaire survey using the ARKC program. Results. No risk factors were identified in 1879 (63.0 %) individuals. All patients at high risk for kidney cancer (656 – 22.0 %) and patients of the uncertainty group (447 – 15.0 %) were referred for physical and ultrasound examination to exclude kidney tumors. Non-tumor pathology of the kidneys was revealed in 156 (14.0 %) patients. Renal mass suspicious for renal cell carcinoma was revealed in 21 (1.9 %) patients (later confirmed in 17 patients with stage I–II cancer, in 3 patients with stage III, in 1 patient with stage IV). According to the results of the factor analysis, two main groups of factors had a predominant effect on the rise in the overall kidney cancer incidencer. The first group of factors (65.0 %) is caused by smoking, excessive alcohol consumption, overweight, unbalanced nutrition, and the influence of carcinogens. The second group of factors (35.0 %) is caused by problems of a medical and social nature: the low material and technical base of primary care medical organizations, the insufficient professional training of medical workers on the issues of cancer prevention and treatment, including kidney cancer.Conclusion. To improve the early detection of kidney cancer, a prognostic model with computer program for assessing the individual risk of developing kidney cancer was developed. population survey using the ARKC computer program allowed us to narrow the diagnostic search, form risk groups and effectively route patients with suspected kidney cancer for in-depth examination in accordance with the Β«road mapΒ».Β Β ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΠ° Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ скрининга Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ сущСствСнным ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ влияСт Π½Π° Π·Π°ΠΏΡƒΡ‰Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΎΡ‚ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, Ρ‡Ρ‚ΠΎ Π΄ΠΈΠΊΡ‚ΡƒΠ΅Ρ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики ΠΈ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΠΈ насСлСнию ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края ΠΏΡ€ΠΈ злокачСствСнных новообразованиях (Π—ΠΠž) ΠΏΠΎΡ‡ΠΊΠΈ. ЦСлью исслСдования явилось созданиС ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ Π² ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠΌ ΠΊΡ€Π°Π΅ Π½Π° основС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈ внСдрСния Π² ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ риска Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ – «ОРРП». Π­Ρ‚Π° модСль Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ (опрос) насСлСния Π½Π° выявлСниС Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска ΠΈ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² («дороТная ΠΊΠ°Ρ€Ρ‚Π°Β») с  ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Ρ€Π°ΠΊ ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования ΠΈ лСчСния.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ исслСдования Π±Ρ‹Π»ΠΎ насСлСниС ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ΅ «ОРРП», Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ приняли участиС 2982 ТитСля Π² возрастС ΠΎΡ‚ 29 Π΄ΠΎ 75 Π»Π΅Ρ‚ (ΠΆΠ΅Π½Ρ‰ΠΈΠ½ – 1950, ΠΌΡƒΠΆΡ‡ΠΈΠ½ – 1032). Π‘ Ρ†Π΅Π»ΡŒΡŽ поиска Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΏΠΎ сниТСнию уровнясмСртности ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΡ€ΠΈΡ‡ΠΈΠ½Β  роста онкологичСской заболСваСмости ΠΈ смСртности насСлСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края с использованиСм  мСдицинских ΠΊΠ°Ρ€Ρ‚ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² вСдомствСнных экспСртиз мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉ, ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ€Π°ΠΊΠΎΠ²Ρ‹Ρ… комиссий, ΠΊΠΎΠ»Π»Π΅Π³ΠΈΠΉ, Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹Ρ… совСщаний, ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ государствСнной ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ Β«Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ здравоохранСния ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края», «Плана мСроприятий ΠΏΠΎ сниТСнию смСртности насСлСния ΠΎΡ‚ Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ, Π²Ρ‚ΠΎΠΌ числС злокачСствСнных». Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ опроса Ρƒ 1879 (63,0 %) Π»ΠΈΡ† Π½Π΅ выявлСно Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска, ΠΈΠΌ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ ΠΏΡ€ΠΎΠΉΡ‚ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΠΎΠ΅ Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‡Π΅Ρ€Π΅Π· 3 Π³ΠΎΠ΄Π°. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ высокого риска (656 – 22,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ ΠΊ ΡƒΡ€ΠΎΠ»ΠΎΠ³Ρƒ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ Π³Ρ€ΡƒΠΏΠΏΡ‹ нСопрСдСлСнности (447 – 15,0 %) Π±Ρ‹Π»ΠΈ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Ρ‹ Π½Π° осмотр участкового Ρ‚Π΅Ρ€Π°ΠΏΠ΅Π²Ρ‚Π°. ВсСм ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ Π³Ρ€ΡƒΠΏΠΏ нСопрСдСлСнности ΠΈ высокого риска Π½Π°Π·Π½Π°Ρ‡Π°Π»ΠΎΡΡŒ ΡƒΠ»ΡŒΡ‚Ρ€Π°Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ΅ исслСдованиС для ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ новообразования ΠΏΠΎΡ‡Π΅ΠΊ. Π£ 156 (14,0 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² выявлСна нСопухолСвая патология ΠΏΠΎΡ‡Π΅ΠΊ, Ρƒ 21 (1,9 %) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ ΠΏΠΎΠ·ΠΆΠ΅ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€Π΄ΠΈΠ»ΠΎΡΡŒ (Ρƒ 17 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² I–II стадии, Ρƒ 3 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² – III стадии, Ρƒ 1 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° – IV стадии). По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° Π°Π½ΠΊΠ΅Ρ‚ Π½Π° рост ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ заболСваСмости Ρ€Π°ΠΊΠΎΠΌ ΠΏΠΎΡ‡Π΅ΠΊ ΠΎΠΊΠ°Π·Π°Π»ΠΈ прСимущСствСнноС влияниС Π΄Π²Π΅ основныС Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². ΠŸΠ΅Ρ€Π²Π°Ρ Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (65,0 %) обусловлСна ΠΊΡƒΡ€Π΅Π½ΠΈΠ΅ΠΌ,Β  Ρ‡Ρ€Π΅Π·ΠΌΠ΅Ρ€Π½Ρ‹ΠΌ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠ΅ΠΌ алкоголя, ΠΈΠ·Π±Ρ‹Ρ‚ΠΎΡ‡Π½ΠΎΠΉ массой  Ρ‚Π΅Π»Π°, нСсбалансированным ΠΏΠΈΡ‚Π°Π½ΠΈΠ΅ΠΌ, влияниСм  ΠΊΠ°Π½Ρ†Π΅Ρ€ΠΎΠ³Π΅Π½ΠΎΠ². Вторая Π³Ρ€ΡƒΠΏΠΏΠ° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² (35,0 %) обусловлСна ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ ΠΌΠ΅Π΄ΠΈΠΊΠΎ-ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°: низкая ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎ-тСхничСская Π±Π°Π·Π° мСдицинских ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉΒ  ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π·Π²Π΅Π½Π°, нСдостаточная ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½Π°ΡΒ  ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° мСдицинских Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² ΠΏΠΎ вопросам  ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ, своСврСмСнной диагностики ΠΈ лСчСния онкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π² Ρ‚ΠΎΠΌ числС Ρ€Π°ΠΊΠ° ΠΏΠΎΡ‡ΠΊΠΈ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Для осущСствлСния мСроприятий ΠΏΠΎ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡŽ Ρ€Π°Π½Π½Π΅ΠΉ диагностики Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° прогностичСская модСль Π½Π° основС ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ для ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска развития Π—ΠΠž ΠΏΠΎΡ‡Π΅ΠΊ Ρƒ насСлСния  ΠŸΡ€ΠΈΠΌΠΎΡ€ΡΠΊΠΎΠ³ΠΎ края. АнкСтированиС насСлСния с использованиСм ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ «ОРРП» ΠΊΠ°ΠΊ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа популяционного скрининга ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΡƒΠ·ΠΈΡ‚ΡŒ диагностичСский поиск, ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΠ³Ρ€ΡƒΠΏΠΏΡ‹ риска ΠΈ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΡƒΡŽ ΠΌΠ°Ρ€ΡˆΡ€ΡƒΡ‚ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ΄ΠΎΠ·Ρ€Π΅Π½ΠΈΠ΅ΠΌ Π½Π° Π—ΠΠž ΠΏΠΎΡ‡ΠΊΠΈ для ΡƒΠ³Π»ΡƒΠ±Π»Π΅Π½Π½ΠΎΠ³ΠΎ обслСдования.
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