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Tumor Mutational Patterns and Infiltrating Lymphocyte Density in Young and Elderly Patients With Breast Cancer

机译：青年和老年乳腺癌患者的肿瘤突变模式和浸润淋巴细胞密度

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Background/Aim: Age may pertain to different tumor genotype characteristics which may interfere with treatment efficacy and prognosis. We investigated the distribution and prognostic effect of mutations and tumor infiltrating lymphocyte (stromal TIL density) in young (≤35 years) and elderly (>65 years) early breast cancer patients. Materials and Methods: Paraffin tumor genotypes of all clinical subtypes from 345 patients were examined. Results: A total of 638 mutations were detected in 221 patients (64.1%). Compared to young, elderly patients presented with lower TIL density (p<0.001) but more TILs in TP53 mutated tumors (p=0.042). Mutation in one, rather than in 2 or more genes, conferred better outcome (DFS: HR=0.51, p=0.016; OS: HR=0.47, p=0.015) but the effect was age-independent. Conclusion: There are fewer TILs and different mutations patterns in tumors from elderly patients compared to young. Age and TIL-independent gene agnostic co-mutations affect patient outcome.

机译：背景/目的：年龄可能与不同的肿瘤基因型特征有关，可能会影响治疗效果和预后。我们调查了早期（≤35岁）和老年人（> 65岁）早期乳腺癌患者中突变和肿瘤浸润淋巴细胞（基质TIL密度）的分布和预后效果。材料与方法：检查了345例患者的所有临床亚型的石蜡肿瘤基因型。结果：221例患者中共检测到638个突变（64.1％）。与年轻人相比，老年患者的TIL密度较低（p <0.001），而TP53突变肿瘤中的TIL较多（p = 0.042）。一个基因突变，而不是两个或多个基因突变，可带来更好的预后（DFS：HR = 0.51，p = 0.016； OS：HR = 0.47，p = 0.015），但其影响与年龄无关。结论：与年轻患者相比，老年患者的肿瘤中的TIL和更少的突变模式更少。年龄和不依赖TIL的基因无关突变会影响患者预后。

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期刊名称 Cancer Genomics Proteomics
作者
ADAMANTIA NIKOLAIDI; VASSILIKI KOTOULA; GEORGIA-ANGELIKI KOLIOU; ELENI GIANNOULATOU; KYRIAKI PAPADOPOULOU; FLORA ZAGOURI; GEORGE PENTHEROUDAKIS; HELEN GOGAS; MATTHEOS BOBOS; KYRIAKOS CHATZOPOULOS; GEORGIOS OIKONOMOPOULOS; DIMITRIOS PECTASIDES; EMMANOUIL SALOUSTROS; NIKI ARNOGIANNAKI; IRENE NICOLAOU; PAVLOS PAPAKOSTAS; ILIADA BOMPOLAKI; GERASIMOS ARAVANTINOS; ILIAS ATHANASIADIS; GEORGE FOUNTZILAS;
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年(卷),期 2020(17),2
年度 2020
页码 -1
总页数 13
原文格式 PDF
正文语种
中图分类肿瘤学;
关键词
Age; genotype; stromal TIL density; co-mutation; NGS;

机译：年龄;基因型;基质TIL密度;共突变;NGS;

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专利

1. Tumor Mutational Patterns and Infiltrating Lymphocyte Density in Young and Elderly Patients With Breast Cancer [J] . ADAMANTIA NIKOLAIDI, VASSILIKI KOTOULA, GEORGIA-ANGELIKI KOLIOU, Cancer genomics & proteomics . 2020,第2期

机译：肿瘤突变模式和乳腺癌患者的患者渗透淋巴细胞密度
2. Tumor mutational patterns and infiltrating lymphocyte density in young and old patients with breast cancer [J] . Nikolaidi A., Kotoula V., Koliou G-A., The Breast : . 2019,第期

机译：肿瘤突变模式和乳腺癌患者的浸润淋巴细胞密度
3. Tumor mutational patterns and infiltrating lymphocyte density in young and old patients with breast cancer [J] . Nikolaidi A., Kotoula V., Koliou G-A., The Breast : . 2019,第Suppla1期

机译：肿瘤突变模式和乳腺癌患者的浸润淋巴细胞密度
4. Recognition of Non-synonymous Somatic Mutations by Tumor Infiltrating Lymphocytes (TIL) in Metastatic Breast Cancer [C] . Nikos Zacharakis International Symposium on Mathematical and Computational Oncology . 2019

机译：转移性乳腺癌中肿瘤浸润淋巴细胞（TIL）的非同义体细胞突变的识别。
5. Clinical implications of mutations in thep53 tumor suppressor gene in female patients with breast cancer. [D] . Lai, Hong Chen. 2002

机译：女性乳腺癌女性患者p53抑癌基因突变的临床意义。
6. Zeb1 expression by tumor or stromal cells is associated with spatial distribution patterns of CD8+ tumor-infiltrating lymphocytes: a hypothesis-generating study on 113 triple negative breast cancers [O] . Mona Ouled Dhaou, Myriam Kossai, Anne-Pierre Morel, 2020

机译：肿瘤或基质细胞的ZeB1表达与CD8 +肿瘤浸润淋巴细胞的空间分布模式相关：对113个三重阴性乳腺癌的假设产生研究
7. Table 5.4.a.1 Tumor size and histological classification Table 5.4.a.2 Tumor size and cancer stroma relationship Table 5.4.a.3 Tumor size and growth patterns of tumors infiltrating surrounding tissue Table 5.4.a.4 Tumor size and lymphatic invasion Table 5.4.a.5 Tumor size and venous invasion Table 5.4.a.6 Tumor size and intrapancreatic nerve invasion Figure 5.4.a.7 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to histological types Figure 5.4.a.8 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to cancer stroma relationship Figure 5.4.a.9 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to growth patterns of tumors infiltrating surrounding tissue Figure 5.4.a.10 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to lymphatic invasion Figure 5.4.a.11 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to venous invasion Figure 5.4.a.12 Cumulative survival of the patients after pancreatectomy for TS1 cancer according to intrapancreatic nerve invasion [O] . 2007

机译：表5.4.A.1肿瘤大小和组织学分类表5.4.a.2肿瘤大小和癌基质关系表5.4.a.3肿瘤渗透围绕组织的肿瘤大小和生长模式表5.4.a .4肿瘤大小和淋巴侵袭表5.4.a.5肿瘤大小和静脉侵袭表5.4.a.6肿瘤大小和脑内神经侵袭图5.4.a.7胰岛切除术后患者的累积存活根据组织学类型的TS1癌图5.4.a.8根据癌基质关系抑制患者患者的胰腺切除术后图5.4.a.9患者患者胰腺切除术治疗的抑制作用肿瘤渗透围绕组织的生长模式图5.4.A.10根据淋巴侵入胰腺切除术后患者的累积存活图5.4.A.11患者在胰腺切除术后患者的抑制作用静脉侵袭图5.4.A.12根据鳞气院神经入侵的TS1癌患者累积患者的存活
8. Visualizing Breast Cancer Cell Interaction With Tumor-Infiltrating Lymphocytes During Immunotherapy [R] . Beuneu, H, Demaria, S, Dustin, M, 2014

机译：在免疫治疗期间可视化乳腺癌细胞与肿瘤浸润淋巴细胞的相互作用

Tumor Mutational Patterns and Infiltrating Lymphocyte Density in Young and Elderly Patients With Breast Cancer

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