Molecular genetic prognostic factors for metastatic regional lymph node involvement in breast cancer patients

Objective. To identify molecular genetic prognostic factors for metastatic regional lymph node involvement in breast cancer (BC) on the basis of the gene-expression profiling analysis of primary tumors. Subjects and methods. The investigation enrolled 200 patients with morphologically verified unicentric invasive BC (T1-4N0-3M0,) who had been treated at the Ulyanovsk Regional Clinical Oncology Dispensary in 2012 to 2015. A tumor tissue molecular genetic study was performed using reverse transcription-polymerase chain reaction (RT-PCR) assay; a diagnostic panel consisted of 28 functional genes. Results. In the metastatic regional lymph node involvement group, the primary breast tumor was characterized by enhanced proliferative activity in terms of the expression of the Ki-67 gene (p = 0.028) and by the higher mRNA levels of the NAT (p = 0.039) and CD68 (p <0.001) genes with a reduction in PTEN expression (p <0.001) and with decreased ESR1 gene expression (p = 0.043). A discriminant analysis showed that the accuracy in predicting the presence or absence of metastatic regional lymph node involvement on the basis of a primary tumor molecular genetic study using a 7-gene expression panel was 91.9 and 78.8%, respectively. Conclusion. The primary breast tumor tissue molecular genetic study involving a set of 7 genes (PTEN, CD68, CCNB1, MGB1, MYC, BCL2, and ESR1) can become an additional diagnostic tool for assessing the presence of metastatic lymph node involvement when planning the volume of axillary lymph node dissection in BC patients. © 2020, Bionika Media Ltd.. All rights reserved.

Авторы
Dergunova J.A.1 , Bozhenko V.K. 2, 3 , Podionov V.V.4 , Kometova V.V.6 , Makarova M.V. 5 , Ashrafyan L.A.1, 6, 7
Издательство
ООО «Бионика Медиа»
Номер выпуска
3
Язык
Русский
Страницы
141-147
Статус
Опубликовано
Том
2020
Год
2020
Организации
  • 1 Department of the State Health Institution Regional Clinical Oncology Center, st. 12 September, d. 90, Ulyanovsk, 432017, Russian Federation
  • 2 National Medical Research Center of Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakova Ministry of Health of Russia, ul. Academician Oparin, d. 4, Moscow, 117997, Russian Federation
  • 3 Department of Molecular Biology and Experimental Therapy, Federal State Budgetary Institution Russian Scientific Center for X-ray Radiology, Ministry of Health of Russia, GSP-7, ul. Profsoyuznaya, 86, Moscow, 117997, Russian Federation
  • 4 Department of Breast Pathology, Federal State Budgetary Institution National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakova Ministry of Health of Russia, ul. Academician Oparin, d.4, Moscow, 117997, Russian Federation
  • 5 Department of Oncology and X-ray Radiology MI RUDN University, Federal State Budgetary Institution Russian Scientific Center for Radiological Radiology of the Ministry of Health of Russia, GSP-7, ul. Profsoyuznaya, 86, Moscow, 117997, Russian Federation
  • 6 Federal State Budgetary Institution National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakova Ministry of Health of Russia, ul. Academician Oparin, d.4, Moscow, 117997, Russian Federation
  • 7 National Medical Research Center for Obstetrics, Gynecology and Perinatology Academician V.I. Kulakova Ministry of Health of Russia, Russian Federation
  • 8 Institute of Oncogynecology and Mammology, Federal State Budgetary Institution National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakova Ministry of Health of Russia, ul. Academician Oparin, d.4, Moscow, 117997, Russian Federation
Ключевые слова
Breast cancer; Discriminant analysis; Gene expression profiling; Local recurrence; Lymph node dissection; Lymphogenous metastasis; Molecular genetic prognostic factors; MRNA
Дата создания
02.11.2020
Дата изменения
02.11.2020
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/65589/
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