3 research outputs found

    Клинико-эпидСмиологичСскиС особСнности проявлСний папилломавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π°ΠΊΠ° шСйки ΠΌΠ°Ρ‚ΠΊΠΈ ΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… (вСнСричСских) Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΎΠΊ

    Get PDF
    Background: Cervical cancer and genital warts (GWs) are some of the most common manifestations of human papillomavirus infection (HPV). These lesions cause significant damage to the reproductive health of the population, which leads to increased attention to the prevention of HPV infection among various population groups. Aims: To determine the clinical and epidemiological features of the HPV manifestations by the example of cervical cancer and genital warts. Methods: A retrospective analysis of anamnestic information of 115 women with an established diagnosis of cervical cancer and 177 patients with an established diagnosis of GWs was performed. The clinical and epidemiological characteristics of patients with diagnoses of GWs and cervical cancer were based on the development of outpatient admission cards and inpatient histories, as well as test data for HPV. Results: HPV 16 was the most common HPV type among patients with GWs and cervical cancer ― it was detected in 37.6% of cases. Also the most frequently encountered: HPV 6/18/11/31/51/52. In 43.2% cases of HPV detection, two or more types were detected at once, the most common combinations: HPV16 and HPV18, HPV6 and HPV16, HPV6 and HPV11. Analysis of the frequency of screening for cervical cancer and visits to the gynecologist for 5 years before establishing the diagnosis showed that among those who did not screen for cervical cancer, the risk of diagnosing stage IIIV was 5.2 times higher than among individuals who underwent cervical screening 2 years ago, or once a year for the last five years. Among patients with GWs who had 2 or more sexual partners for 1 year, 13.5% of patients regularly used barrier contraception methods (condoms) during sexual contact, not regularly ― 61.5%, did not use them at all ― 25.0%. Conclusions: Identifying the clinical and epidemiological features of HPV infection should contribute to the development of new and optimize existing prevention programs for a wide range of HPV-associated diseases.ОбоснованиС. Π Π°ΠΊ шСйки ΠΌΠ°Ρ‚ΠΊΠΈ (РШМ) ΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Π΅ (вСнСричСскиС) Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΊΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ распространСнными проявлСниями папилломавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ. Π”Π°Π½Π½Ρ‹Π΅ пораТСния наносят сущСствСнный ΡƒΡ‰Π΅Ρ€Π± Ρ€Π΅ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΈΠ²Π½ΠΎΠΌΡƒ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡŽ насСлСния, Ρ‡Ρ‚ΠΎ обусловливаСт ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½Π½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΊ вопросам ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ папилломавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ срСди Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ насСлСния. ЦСль исслСдования ― ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-эпидСмиологичСских особСнностСй папилломавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π°ΠΊΠ° шСйки ΠΌΠ°Ρ‚ΠΊΠΈ ΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… (вСнСричСских) Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΎΠΊ. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΎ рСтроспСктивноС исслСдованиС; ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ исслСдования Π±Ρ‹Π»ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π°ΠΌΠΈ РШМ ΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… (вСнСричСских) Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΎΠΊ, ΠΎΠ±Ρ€Π°Ρ‚ΠΈΠ²ΡˆΠΈΠ΅ΡΡ Π·Π° мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ с 2015 ΠΏΠΎ 2018 Π³. Π”Π°Π½Π½Ρ‹Π΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ сбора ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΈΠ· мСдицинских ΠΊΠ°Ρ€Ρ‚ стационарного больного (Ρ„ΠΎΡ€ΠΌΠ° 003/Ρƒ) ΠΈ мСдицинских ΠΊΠ°Ρ€Ρ‚ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°, ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‰Π΅Π³ΠΎ ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½ΡΠΊΡƒΡŽ ΠΏΠΎΠΌΠΎΡ‰ΡŒ Π² Π°ΠΌΠ±ΡƒΠ»Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… условиях (Ρ„ΠΎΡ€ΠΌΠ° 025/Ρƒ). ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π° ― аналитичСский ΠΈ статистичСский. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ Ρ€Π°ΠΌΠΊΠ°Ρ… исслСдования Π±Ρ‹Π»ΠΈ ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ 292 ΠΊΠ°Ρ€Ρ‚Ρ‹ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², ΠΎΠ±Ρ€Π°Ρ‚ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π·Π° мСдицинской ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ. НаиболСС часто ― Π² 37,6% случаСв ― Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ ΠΈ РШМ ΠΏΡ€ΠΈ Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΠΎΠΌ обслСдовании выявлялся вирус ΠΏΠ°ΠΏΠΈΠ»Π»ΠΎΠΌΡ‹ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° (Π’ΠŸΠ§) 16-Π³ΠΎ Ρ‚ΠΈΠΏΠ°. Π’Π°ΠΊΠΆΠ΅ часто Π²ΡΡ‚Ρ€Π΅Ρ‡Π°Π»ΠΈΡΡŒ Π’ΠŸΠ§ 6/18/11/31/51/52. Π’ 43,2% случаСв ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»ΠΈΡΡŒ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ Π΄Π²Π° ΠΈ Π±ΠΎΠ»Π΅Π΅ Ρ‚ΠΈΠΏΠΎΠ² Π’ΠŸΠ§, ΠΏΡ€ΠΈ этом Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ частыми сочСтаниями Π±Ρ‹Π»ΠΈ Π’ΠŸΠ§16 ΠΈ Π’ΠŸΠ§18, Π’ΠŸΠ§6 ΠΈ Π’ΠŸΠ§16, Π’ΠŸΠ§6 ΠΈ Π’ΠŸΠ§11. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· частоты скрининга Π½Π° РШМ ΠΈ посСщСния Π²Ρ€Π°Ρ‡Π°-Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³Π° Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 5 Π»Π΅Ρ‚ Π΄ΠΎ установлСния Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°Π», Ρ‡Ρ‚ΠΎ срСди Π»ΠΈΡ†, Π½Π΅ ΠΏΡ€ΠΎΡ…ΠΎΠ΄ΠΈΠ²ΡˆΠΈΡ… скрининг Π½Π° РШМ, ΠΈΠ»ΠΈ ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠΈΡ… Π΅Π³ΠΎ ΠΏΡ€ΠΈ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΈΠΈ заболСвания, риск выявлСния Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° Π½Π° IIIV стадии Π±Ρ‹Π» Π² 5,2 Ρ€Π°Π·Π° Π²Ρ‹ΡˆΠ΅, Ρ‡Π΅ΠΌ срСди Π»ΠΈΡ†, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΡ€ΠΎΡ…ΠΎΠ΄ΠΈΠ»ΠΈ Ρ†Π΅Ρ€Π²ΠΈΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΉ скрининг 2 Π³ΠΎΠ΄Π° Π½Π°Π·Π°Π΄ ΠΈΠ»ΠΈ 1 Ρ€Π°Π· Π² Π³ΠΎΠ΄ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ послСдних 5 Π»Π΅Ρ‚. Π‘Ρ€Π΅Π΄ΠΈ всСх ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π°Π½ΠΎΠ³Π΅Π½ΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ Π±ΠΎΡ€ΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ, ΠΈΠΌΠ΅Π²ΡˆΠΈΡ… ΠΏΠΎ Π΄Π²Π° ΠΈ Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»ΠΎΠ²Ρ‹Ρ… ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Π° Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 1 Π³ΠΎΠ΄Π°, ΠΎ рСгулярном использовании ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Π±Π°Ρ€ΡŒΠ΅Ρ€Π½ΠΎΠΉ ΠΊΠΎΠ½Ρ‚Ρ€Π°Ρ†Π΅ΠΏΡ†ΠΈΠΈ (ΠΏΡ€Π΅Π·Π΅Ρ€Π²Π°Ρ‚ΠΈΠ²ΠΎΠ²) ΠΏΡ€ΠΈ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΌ ΠΊΠΎΠ½Ρ‚Π°ΠΊΡ‚Π΅ сообщили 13,5%, ΠΎ нСрСгулярном использовании ― 61,5%; 25,0% ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π²ΠΎΠΎΠ±Ρ‰Π΅ Π½Π΅ Π·Π°Π΄ΡƒΠΌΡ‹Π²Π°Π»ΠΈΡΡŒ ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°Ρ… прСдохранСния. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ВыявлСниС ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-эпидСмиологичСских особСнностСй папилломавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΡΠΏΠΎΡΠΎΠ±ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ Π½ΠΎΠ²Ρ‹Ρ… ΠΈ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… профилактичСских ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ спСктра Π’ΠŸΠ§-ассоциированных Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ

    Systemic Essential Metal and Metalloid Levels in Patients with Benign Breast Disease and Breast Cancer

    No full text
    The objective of the present study is evaluation of serum and hair levels of essential metals and metalloids in women with benign breast disease and breast cancer in order to define similar and distinct patterns that may mediate the link between these pathologies. A total of 310 adult women aged 20–80Β years old were enrolled in the present study. Of those, 103 patients had benign (fibrocystic) breast disease, 107 patients had breast cancer (stage II), and 100 women were healthy and with absence of breast pathology. Trace metal and metalloid levels in hair and serum were evaluated by inductively coupled argon plasma mass-spectrometry (ICP-MS). The data demonstrate that breast cancer patients were characterized by significantly higher hair Cr and V levels, as well as reduced Cu and Mn content as compared to both benign breast disease patients and controls. In contrast, serum Cu levels in women with breast cancer exceeded those in the controls and benign breast disease cases. Patients with both benign and malignant breast tumors were characterized by lower serum Mn levels as compared to the control values. Serum Cu/Zn and especially Cu/Mn were found to be significantly increased in cancer patients. Significantly reduced hair and serum Se levels were noted only in women with fibrocystic disease. Based on the analysis of two biosamples, it is proposed that malignant breast tumor development is associated with the reduction of systemic Mn and Zn levels, and a concomitant elevation of Cu concentrations. Β© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

    Genome-wide methylotyping resolves breast cancer epigenetic heterogeneity and suggests novel therapeutic perspectives

    No full text
    Aim: To provide a breast cancer (BC) methylotype classification by genome-wide CpG islands bisulfite DNA sequencing. Materials & methods: XmaI-reduced representation bisulfite sequencing DNA methylation sequencing method was used to profile DNA methylation of 110 BC samples and 6 normal breast samples. Intrinsic DNA methylation BC subtypes were elicited by unsupervised hierarchical cluster analysis, and cluster-specific differentially methylated genes were identified. Results & conclusion: Overall, six distinct BC methylotypes were identified. BC cell lines constitute a separate group extremely highly methylated at the CpG islands. In turn, primary BC samples segregate into two major subtypes, highly and moderately methylated. Highly and moderately methylated superclusters, each incorporate three distinct epigenomic BC clusters with specific features, suggesting novel perspectives for personalized therapy. Β© 2019 Alexander Tanas et al
    corecore