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Tumor infiltrating leukocyte density is independent of tumor grade and molecular subtype in aggressive breast cancer of Western Kenya

التفاصيل البيبلوغرافية
العنوان: Tumor infiltrating leukocyte density is independent of tumor grade and molecular subtype in aggressive breast cancer of Western Kenya
المؤلفون: Zonggao Shi, M. Sharon Stack, Jenifer R. Prosperi, Simeon Mining, David Chumba, Laurie E. Littlepage, Sunil Badve, Mayra J. Sandoval-Cooper, Maggie Kerper, Kirtika Patel, Bernard Guyah, Katherine Taylor, Ayub V. Ofulla, Rispah T. Sawe
المصدر: Tropical Medicine and Health
Tropical Medicine and Health, Vol 45, Iss 1, Pp 1-11 (2017)
سنة النشر: 2017
مصطلحات موضوعية: 0301 basic medicine, CA15-3, Pathology, medicine.medical_specialty, Myeloid, lcsh:Arctic medicine. Tropical medicine, Aggressive breast cancer, Proliferative index, Proliferation index, lcsh:RC955-962, Breast cancer subtypes, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, medicine, Tissue microarray, business.industry, Research, African, Public Health, Environmental and Occupational Health, Cancer, Tumor infiltrating leukocytes (TILs), medicine.disease, Kenyan, 3. Good health, 030104 developmental biology, Infectious Diseases, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Immunohistochemistry, Advanced, business
الوصف: Background Tumors commonly are infiltrated by leukocytes, or tumor infiltrating leukocytes (TILs). It remains unclear, however, if the density and type of individual TILs has a direct or simply correlative role in promoting poor prognosis in breast cancer patients. Breast cancer in Kenyan women is aggressive with presentation at a young age, with advanced grade (grade III), large tumor size (>2.0 cm), and poor prognosis. We previously observed that the tumors were predominantly estrogen receptor positive (ER+) but also included both a high percentage of triple negative tumors and also increased immune cell infiltration within the tumors. We used breast tumor tissues from each patient to make tissue microarrays that were then stained for leukocyte and myeloid markers including CD4, CD8, CD20, CD25, CD68, and CD163 using immunohistochemical techniques. The immune cell infiltration into the cancer tissue included increased numbers of macrophages (CD68+), helper T cells (CD4+), and CD25+ lymphocytes compared to benign tissue. Results This study characterized the grade, molecular subtypes, and proliferation index of these tumors and determined if TIL density was enriched across any of these factors. We analyzed 49 malignant patient tissue samples for this study. The patient population had a mean age of 51.9 years. The tumors analyzed were heterogeneous by grade: grade I (6%), grade II (47%), and grade III (39%). Most patients presented with large tumors (>2.0 cm) (69%). We classified the tumors into molecular subtypes based on clinical marker expression. Based on this analysis, the molecular subtype distribution was heterogeneous with luminal B (41%), basal/triple negative (TN) (37%), luminal A (14%) and HER2 (8%) breast cancer subtypes. While the basal/TN subtype had a much higher proliferative index (Ki-67+) than did the other molecular subtypes, we did not see a significant correlation between TIL density and either subtype or tumor grade. Therefore, TIL density is independent of molecular subtype and grade. Conclusion This study identified a Kenyan patient cohort that develops large, high-grade tumors primarily of the luminal B and basal molecular subtypes. After analyzing the TILs within these tumors, we found that immune cell infiltration of these tumors correlated with increased proliferation but not grade or molecular subtype. Future research is required to determine if the aberrant recruitment of TILs to tumors contributes to cancer progression and response to cancer treatments.
تدمد: 1348-8945
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35a473f57bd1afc27f59c342168b2def
https://pubmed.ncbi.nlm.nih.gov/28794686
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....35a473f57bd1afc27f59c342168b2def
قاعدة البيانات: OpenAIRE
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