58 research outputs found

    HPV-associated cervical cancer: Current status and prospects

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    Every year, 570,000 new cases of cervical cancer (CC) are diagnosed in the world, and 311,000 people die from this disease. CC is the fourth most common type of cancer and therefore the fourth leading cause of cancer death in women worldwide. Numerous data on the occurrence and development of cervical cancer indicate an association in most cases (up to 90 %) with human papillomaviruses (HPV) of high carcinogenic risk (HCR).CC prevention strategies are based on screening, and deaths from this oncopathology can be prevented through vaccination and treatment with early detection of the disease.In this review, much attention is paid to current issues of detection and prevention of HPV-associated pathologies, and cervical cancer in particular, aiming to summarize and analyze the latest international literature data on this issue. As a result of this study, it was shown that for countries implementing the National program of vaccination against HPV of high carcinogenic risk, a decrease in the incidence of both cervical pathologies of varying severity and other cancers associated with the HPV carriage was registered.While effective implementation of actual experience and future advances in human papillomavirus vaccine prophylaxis may make it possible for all countries to move to the high levels of vaccination coverage required to eliminate HPV-associated pathologies, the results also suggest that the path to complete cervical cancer elimination as a global public health problem can be extremely difficult due to a number of existing limitations

    Search for potential gastric cancer markers using miRNA databases and gene expression analysis

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    Aim: The aim of this study was to identify genes that are differentially expressed in gastric tumors and to analyze the association of their expression level with tumor clinicopathologic features. Methods: In the present research, we used bioinformatic-driven search to identify miRNA that are down-regulated in gastric tumors and to find their potential targets. Then, the expression levels of some of the target mRNAs were investigated using reverse transcription polymerase chain reaction (RT-PCR) analysis. Results: As a result of the bioinformatics analysis, fifteen genes were found to be potentially differentially expressed between the tumors and normal gastric tissue. Five of them were chosen for the further analysis (WNT4, FGF12, EFEMP1, CTGF, and HSPG2) due to their important role in cell proliferation and differentiation. Expression levels of these genes were evaluated in our collection of frozen tissue samples of gastric tumor and paired normal stomach epithelia. Increased FGF12 expression was observed in diffuse type of gastric cancer while WNT4 mRNA was found to be down-regulated in intestinal type of gastric cancer. Besides, CTGF gene overexpression was revealed in diffuse type of stomach cancer in comparison with that in intestinal type. Up-regulation of CTGF was also associated with lymph node metastasis. Conclusions: The findings show its expedient to perform further investigations in order to clarify diagnostic and prognostic value of CTGF, FGF12, and WNT4’s in stomach cancer as well as the role of these genes in carcinogenesis

    Composite implants coated with biodegradable polymers prevent stimulating tumor progression

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    In this experiment we studied oncologic safety of model implants created using the solution blow spinning method with the use of the PURASORB PL-38 polylactic acid polymer and organic mineral filler which was obtained via laser ablation of a solid target made of dibasic calcium phosphate dihydrate. For this purpose the implant was introduced into the area of Wistar rats’ iliums, and on day 17 after the surgery the Walker sarcoma was transplanted into the area of the implant. We evaluated the implant’s influence on the primary tumor growth, hematogenous and lymphogenous metastasis of the Walker sarcoma. In comparison with sham operated animals the implant group demonstrated significant inhibition of hematogenous metastasis on day 34 after the surgery. The metastasis inhibition index (MII) equaled 94% and the metastases growth inhibition index (MGII) equaled 83%. The metastasis frequency of the Walker sarcoma in para aortic lymph nodes in the implant group was not statistically different from the control frequency; there was also no influence of the implant on the primary tumor growth noted. In case of the Walker sarcoma transplantation into the calf and the palmar pad of the ipsilateral limb to the one with the implant in the ilium, we could not note any attraction of tumor cells to the implant area, i.e. stimulation of the Walker sarcoma relapse by the implant. Thus, the research concluded that the studied implant meets the requirements of oncologic safety

    Composite implants coated with biodegradable polymers prevent stimulating tumor progression

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    In this experiment we studied oncologic safety of model implants created using the solution blow spinning method with the use of the PURASORB PL-38 polylactic acid polymer and organic mineral filler which was obtained via laser ablation of a solid target made of dibasic calcium phosphate dihydrate. For this purpose the implant was introduced into the area of Wistar rats’ iliums, and on day 17 after the surgery the Walker sarcoma was transplanted into the area of the implant. We evaluated the implant’s influence on the primary tumor growth, hematogenous and lymphogenous metastasis of the Walker sarcoma. In comparison with sham operated animals the implant group demonstrated significant inhibition of hematogenous metastasis on day 34 after the surgery. The metastasis inhibition index (MII) equaled 94% and the metastases growth inhibition index (MGII) equaled 83%. The metastasis frequency of the Walker sarcoma in para aortic lymph nodes in the implant group was not statistically different from the control frequency; there was also no influence of the implant on the primary tumor growth noted. In case of the Walker sarcoma transplantation into the calf and the palmar pad of the ipsilateral limb to the one with the implant in the ilium, we could not note any attraction of tumor cells to the implant area, i.e. stimulation of the Walker sarcoma relapse by the implant. Thus, the research concluded that the studied implant meets the requirements of oncologic safety

    ΠŸΠžΠ’Π•Π Π― Π“Π•Π’Π•Π ΠžΠ—Π˜Π“ΠžΠ’ΠΠžΠ‘Π’Π˜ Π›ΠžΠšΠ£Π‘ΠžΠ’ Π“Π•ΠΠžΠ’ BRCA1 И BRCA2 Π’ ОПУΠ₯ΠžΠ›Π˜ ΠœΠžΠ›ΠžΠ§ΠΠžΠ™ Π–Π•Π›Π•Π—Π«

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    One of the factors of variability of malignant neoplasms is the loss of heterozygosity (LOH). The biological meaning of LOH, in relation to carcinogenesis, is associated with the inactivation of heterozygous loci of pathogenetically significant genes. Thus, the aim of this work was to study BRCA1/2 LOH in breast tumors.Material and Methods. The study included 122 patients with stage IIAIIIC breast cancer. DNA was isolated from 122 biopsy samples of tumor tissue using the QIAamp DNA mini Kit (Qiagen, Germany). To assess the status of LOH, microarray analysis was performed on high-density DNA chips from Affymetrix CytoScanTM HD Array. To process the results of microchipping, we used the Chromosome Analysis Suite 3.3 program (Affymetrix, USA).Results. The loss of heterozygosity in the BRCA1 gene was found to be associated with response to NAC. It was shown that in 59 patients LOH in the BRCA1gene was associated with an objective response to treatment (p=0.005). The presence of LOH in the studied genes was associated with a favorable prognosis. The 5-year non-metastatic survival rates were 75 % and 100 % in patients with LOH in the BRCA1 and BRCA2 genes, respectively (log-rank test: p=0.003 and p=0.05, respectively).Conclusion. The phenomenon of LOH in the BRCA1/2 genes was shown to be associated with response to NACT. BRCA1/2. Further studies are needed to evaluate the frequency of BRCA1/2 LOH after NAC for choosing and changing treatment tactics. Одним ΠΈΠ· Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ злокачСствСнных Π½ΠΎΠ²ΠΎΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΠΉ являСтся потСря гСтСрозиготности (LOH – loss of heterozygosity). ΠŸΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ‚ΡΡ, Ρ‡Ρ‚ΠΎ биологичСский смысл LOH ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΊ ΠΊΠ°Π½Ρ†Π΅Ρ€ΠΎΠ³Π΅Π½Π΅Π·Ρƒ связан с ΠΈΠ½Π°ΠΊΡ‚ΠΈΠ²Π°Ρ†ΠΈΠ΅ΠΉ Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ·ΠΈΠ³ΠΎΡ‚Π½Ρ‹Ρ… локусов патогСнСтичСски Π·Π½Π°Ρ‡ΠΈΠΌΡ‹Ρ… Π³Π΅Π½ΠΎΠ².ЦСлью исслСдования явилось исслСдованиС ΠΏΠΎΡ‚Π΅Ρ€ΠΈ гСтСрозиготности Π³Π΅Π½ΠΎΠ² BRCA1/2 Π² ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π±Ρ‹Π»ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 122 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Ρ€Π°ΠΊΠΎΠΌ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ IIA–IIIC стадии. Π”ΠΠš выдСляли ΠΈΠ· 122 биопсийных ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ² ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π½Π°Π±ΠΎΡ€Π° QIAamp DNA mini Kit (Qiagen, Germany). Для ΠΎΡ†Π΅Π½ΠΊΠΈ статуса LOH ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ ΠΌΠΈΠΊΡ€ΠΎΠΌΠ°Ρ‚Ρ€ΠΈΡ‡Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· Π½Π° Π”ΠΠš-Ρ‡ΠΈΠΏΠ°Ρ… высокой плотности Ρ„ΠΈΡ€ΠΌΡ‹ Affymetrix CytoScanTM HD Array. Для ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² микрочипирования использовали ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡƒ Β«Chromosome Analysis Suite 3.3Β» (Affymetrix, USA).Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ исслСдования Π±Ρ‹Π»ΠΎ установлСно, Ρ‡Ρ‚ΠΎ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΏΠΎΡ‚Π΅Ρ€ΠΈ гСтСрозиготности Π² Π³Π΅Π½Π΅ BRCA1 сопряТСно с ΠΎΡ‚Π²Π΅Ρ‚ΠΎΠΌ Π½Π° Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ. Показано, Ρ‡Ρ‚ΠΎ Ρƒ 59 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ LOH Π² Π³Π΅Π½Π΅ BRCA1 сопряТСно с ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌ ΠΎΡ‚Π²Π΅Ρ‚ΠΎΠΌ Π½Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ (p=0,005). НаличиС ΠΏΠΎΡ‚Π΅Ρ€ΠΈ гСтСрозиготности Π² ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΡ‹Ρ… Π³Π΅Π½Π°Ρ… сопряТСно с благоприятным ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠΌ. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ 5-Π»Π΅Ρ‚Π½Π΅ΠΉ бСзмСтастатичСской выТиваСмости Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΡ‚Π΅Ρ€Π΅ΠΉ гСтСрозиготности для Π³Π΅Π½Π° BRCA1 составляСт 75 % (log-rank test p=0,003), для Π³Π΅Π½Π° BRCA2 всС ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ ΠΈΠΌΠ΅Π»ΠΈ 100 % Π±Π΅Π·ΠΌΠ΅Ρ‚Π°ΡΡ‚Π°Ρ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π²Ρ‹ΠΆΠΈΠ²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ, log-rank test p=0,05.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Показано, Ρ‡Ρ‚ΠΎ потСря гСтСрозиготности Π² Π³Π΅Π½Π°Ρ… BRCA1/2 связана с ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒΡŽ Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ являСтся нСзависимым прогностичСским Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠΌ. Π‘ ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ инактивация BRCA1/2 Π΄ΠΎΠ»ΠΆΠ½Π° ΠΊΠΎΡ€Ρ€Π΅Π»ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ с Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΊ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π½Π° основС ΠΏΠ»Π°Ρ‚ΠΈΠ½Ρ‹, Ρ‡Ρ‚ΠΎ, нСсомнСнно, Π΄Π΅Π»Π°Π΅Ρ‚ дальнСйшСС ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠ³ΠΎ вопроса Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ.

    ΠŸΠΎΠ»Π½ΠΎΡ‚Ρ€Π°Π½ΡΠΊΡ€ΠΈΠΏΡ‚ΠΎΠΌΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ Π² процСссС Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ: связь с ΠΎΡ‚Π²Π΅Ρ‚ΠΎΠΌ Π½Π° ΠΏΡ€Π΅Π΄ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ

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    Introduction. Treatment of breast cancer often includes systemic neoadjuvant chemotherapy. The frequency of complete morphological response varies significantly depending on the molecular subtype of tumor. However, even in triple negative breast cancer, which is considered the most sensitive, it does not exceed 50 %. Therefore, the search for new genetic predictors of tumor response to preoperative treatment, as well as the assessment of tumor changes during neoadjuvant chemotherapy are highly relevant.Objective – to perform whole-transcriptome analysis of breast cancer during neoadjuvant chemotherapy depending on tumor response to preoperative treatment.Materials and methods. This study included 39 patients with luminal B HER2-positive (human epidermal growth factor receptor 2) breast cancer who received 6 to 8 cycles of neoadjuvant chemotherapy. We performed whole-transcriptome analysis of paired biopsy and surgical specimens using the Clariomβ„’ S Assay, human (Affymetrix, USA).Results. We observed significant differences in the pretreatment expression of 166 genes (13 were up-regulated and 153 were down-regulated) between patients with objective response to therapy and those without it. Comparison of preand post-treatment expression profiles demonstrated 680 differentially expressed genes in patients with complete and partial response and 3240 differentially expressed genes in patients with stable or progressive disease. Venn diagram showed that patients with and without objective response to neoadjuvant chemotherapy shared 105 differentially expressed genes.Conclusion. We performed primary screening of genes in breast tumors before therapy and identified genes whose pretreatment expression differed significantly between patients with objective response to neoadjuvant chemotherapy and those without it. Further validation of these genes in an independent sample will allow the development of a genetic panel to evaluate the response to neoadjuvant chemotherapy. Assessment of changes in the expression of tumor genes during treatment depending on patient’s response to therapy can be useful for further development of a panel of genes, which will enable the evaluation of clinical response to chemotherapy, as well as identification of key cellular processes that change the activity of genes during therapy.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Π›Π΅Ρ‡Π΅Π½ΠΈΠ΅ Ρ€Π°ΠΊΠ° ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ… случаях Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ ΡΠΈΡΡ‚Π΅ΠΌΠ½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ Π² Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΌ Ρ€Π΅ΠΆΠΈΠΌΠ΅. Богласно Π΄Π°Π½Π½Ρ‹ΠΌ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ частота ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ морфологичСского ΠΎΡ‚Π²Π΅Ρ‚Π° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π²Π°Ρ€ΡŒΠΈΡ€ΡƒΠ΅Ρ‚ Π² зависимости ΠΎΡ‚ Π΅Π΅ молСкулярного ΠΏΠΎΠ΄Ρ‚ΠΈΠΏΠ°, ΠΎΠ΄Π½Π°ΠΊΠΎ Π΄Π°ΠΆΠ΅ ΠΏΡ€ΠΈ самом Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ, Ρ‚Ρ€ΠΈΠΆΠ΄Ρ‹ Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠΌ ΠΏΠΎΠ΄Ρ‚ΠΈΠΏΠ΅ ΠΎΠ½Π° Π½Π΅ ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°Π΅Ρ‚ 50 %. Π² связи с этим Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ поиск гСнСтичСских ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€ΠΎΠ² ΠΎΡ‚Π²Π΅Ρ‚Π° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π½Π° ΠΏΡ€Π΅Π΄ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ΅ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ происходят Π² ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π² процСссС Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ.ЦСль исслСдования – ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ полнотранскриптомного Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ Π² Ρ…ΠΎΠ΄Π΅ Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π² зависимости ΠΎΡ‚ ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° ΠΏΡ€Π΅Π΄ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ΅ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 39 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Ρ€Π°ΠΊΠΎΠΌ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ люминального Π² HER2-ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ‚ΠΈΠΏΠ° (human epidermal growth factor receptor 2, Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ ΡΠΏΠΈΠ΄Π΅Ρ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста, Ρ‚ΠΈΠΏ 2), ΠΏΠΎΠ»ΡƒΡ‡Π°Π²ΡˆΠΈΠ΅ 6–8 курсов Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. Π‘Ρ‹Π»ΠΈ исслСдованы ΠΏΠ°Ρ€Π½Ρ‹Π΅ ΠΎΠ±Ρ€Π°Π·Ρ†Ρ‹ биопсийного ΠΈ ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π°. ΠŸΠΎΠ»Π½ΠΎΡ‚Ρ€Π°Π½ΡΠΊΡ€ΠΈΠΏΡ‚ΠΎΠΌΠ½Ρ‹ΠΉ ΠΌΠΈΠΊΡ€ΠΎΠΌΠ°Ρ‚Ρ€ΠΈΡ‡Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· проводился с использованиСм ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌΡ‹ Clariomβ„’ S Assay, human (Affymetrix, БША).Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΈ сравнСнии экспрСссионного профиля ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ ΠΈ отсутствиСм ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π΄ΠΎ провСдСния Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΠΎΠΉ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π±Ρ‹Π»ΠΎ выявлСно 166 Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ ΡΠΊΡΠΏΡ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ…ΡΡ Π³Π΅Π½ΠΎΠ² (13 up-regulated, 153 down-regulated). ΠŸΡ€ΠΈ сравнСнии экспрСссионного профиля Π΄ΠΎ ΠΈ послС лСчСния Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΈ частичной рСгрСссиСй выявлСно 680 Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ ΡΠΊΡΠΏΡ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ…ΡΡ Π³Π΅Π½ΠΎΠ², Π° Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… со стабилизациСй ΠΈΠ»ΠΈ прогрСссированиСм – 3240 этих Π³Π΅Π½ΠΎΠ². Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ построСния Π΄ΠΈΠ°Π³Ρ€Π°ΠΌΠΌΡ‹ Π²Π΅Π½Π½Π° Π±Ρ‹Π»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, Ρ‡Ρ‚ΠΎ 105 Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ ΡΠΊΡΠΏΡ€Π΅ΡΡΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ…ΡΡ Π³Π΅Π½ΠΎΠ² ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΎΠ±Ρ‰ΠΈΠΌΠΈ для ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ/отсутствиСм ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ Π΄ΠΎ ΠΈ послС лСчСния.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π‘Ρ‹Π» ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΉ скрининг Π³Π΅Π½ΠΎΠ² Π² ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹ Π΄ΠΎ лСчСния. ВыявлСны Π³Π΅Π½Ρ‹, экспрСссия ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π΄ΠΎ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π°Π»Π°ΡΡŒ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌ ΠΎΡ‚Π²Π΅Ρ‚ΠΎΠΌ Π½Π° Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ ΠΈ Π΅Π³ΠΎ отсутствиСм. Π”Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠ°Ρ валидация Π΄Π°Π½Π½Ρ‹Ρ… Π³Π΅Π½ΠΎΠ² Π½Π° нСзависимой Π²Ρ‹Π±ΠΎΡ€ΠΊΠ΅ даст Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ Π³Π΅Π½Π΅Ρ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ панСль для опрСдСлСния ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° Π½Π΅ΠΎΠ°Π΄ΡŠΡŽΠ²Π°Π½Ρ‚Π½ΡƒΡŽ Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ. ΠžΡ†Π΅Π½ΠΊΠ° измСнСния экспрСссии ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… Π³Π΅Π½ΠΎΠ² Π² Ρ…ΠΎΠ΄Π΅ лСчСния Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π² зависимости ΠΎΡ‚ ΠΎΡ‚Π²Π΅Ρ‚Π° Π½Π° эту Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΠΎΠ»Π΅Π·Π½Π° для Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π² дальнСйшСм ΠΏΠ°Π½Π΅Π»ΠΈ Π³Π΅Π½ΠΎΠ², выявлСниС ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΡΡƒΠ΄ΠΈΡ‚ΡŒ ΠΎ клиничСском ΠΎΡ‚Π²Π΅Ρ‚Π΅ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ Π½Π° Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΡŽ, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Π΅ ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Π΅ процСссы, ΠΌΠ΅Π½ΡΡŽΡ‰ΠΈΠ΅ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π³Π΅Π½ΠΎΠ² Π² процСссС Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ
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