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本文引用的文献

1
Triple-negative breast cancer.三阴性乳腺癌。
N Engl J Med. 2010 Nov 11;363(20):1938-48. doi: 10.1056/NEJMra1001389.
2
BRCA1 basal-like breast cancers originate from luminal epithelial progenitors and not from basal stem cells.BRCA1 基底样乳腺癌起源于腔上皮祖细胞,而不是基底干细胞。
Cell Stem Cell. 2010 Sep 3;7(3):403-17. doi: 10.1016/j.stem.2010.07.010.
3
Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies.免疫组织化学法对乳腺癌进行亚型分类,以研究亚型与短期和长期生存之间的关系:对 12 项研究的 10159 例病例数据进行的合作分析。
PLoS Med. 2010 May 25;7(5):e1000279. doi: 10.1371/journal.pmed.1000279.
4
Breast cancer precursors revisited: molecular features and progression pathways.乳腺癌前体再探:分子特征和进展途径。
Histopathology. 2010 Aug;57(2):171-92. doi: 10.1111/j.1365-2559.2010.03568.x. Epub 2010 May 24.
5
Protein expression profile and prevalence pattern of the molecular classes of breast cancer--a Saudi population based study.乳腺癌分子类型的蛋白表达谱和流行模式——基于沙特人群的研究。
BMC Cancer. 2010 May 21;10:223. doi: 10.1186/1471-2407-10-223.
6
Distribution of molecular breast cancer subtypes in middle eastern-saudi arabian women: a pilot study.中东沙特阿拉伯女性分子乳腺癌亚型的分布:一项试点研究。
Ultrastruct Pathol. 2009 Jul-Aug;33(4):141-50. doi: 10.1080/01913120903183135.
7
Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer.管腔B型乳腺癌患者的Ki67指数、HER2状态与预后
J Natl Cancer Inst. 2009 May 20;101(10):736-50. doi: 10.1093/jnci/djp082. Epub 2009 May 12.
8
Prevalence, morphologic features and proliferation indices of breast carcinoma molecular classes using immunohistochemical surrogate markers.利用免疫组化替代标志物对乳腺癌分子分型的患病率、形态学特征及增殖指数进行研究。
Int J Clin Exp Pathol. 2009;2(5):444-55. Epub 2009 Feb 9.
9
Gene-expression signatures in breast cancer.乳腺癌中的基因表达特征
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10
Supervised risk predictor of breast cancer based on intrinsic subtypes.基于内在亚型的乳腺癌监督风险预测器
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[摩洛哥的乳腺癌:肿瘤的表型特征]

[Breast cancer in Morocco: phenotypic profile of tumors].

作者信息

Khalil Ahmadaye Ibrahim, Bendahhou Karima, Mestaghanmi Houriya, Saile Rachid, Benider Abdellatif

机构信息

Laboratoire de Physiopathologie et Génétique Moléculaire, Faculté des Sciences Ben M'Sik, Université Hassan II, Casablanca, Maroc.

Registre des Cancers de la Région du Grand Casablanca, Maroc.

出版信息

Pan Afr Med J. 2016 Oct 6;25:74. doi: 10.11604/pamj.2016.25.74.9966. eCollection 2016.

DOI:10.11604/pamj.2016.25.74.9966
PMID:28292037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5324149/
Abstract

Breast cancer is most common in women and it is among the leading causes of cancer related deaths. The curability of this type of tumor is increasing thanks to screening programs and treatment advances which have certainly enhanced patient survival. But challenges remain, particularly in respect of phenotypic instability of cancer cells. The aim of this study was to analyse the phenotypic profile of breast cancer in patients treated at Mohammed VI Cancer Treatment Center over the years 2013-2014. We conducted a cross-sectional study over a two-year period, including the cases of breast cancer treated in our Center. Data were collected from patients medical records and analyzed using Epi Info software. 1277 patients were treated in our Center. 99.5% were females, mean age 50.20 ± 11.34 years. The most common histological type was invasive ductal carcinoma (80.7% of cases). It was diagnosed at an early stage (56,9%). The most common molecular phenotype was luminal A (41.4% of cases). Luminal B, HER2 and triple negatives occurred in 10.4%, 6.3%, 11.2% of cases respectively. The study of tumor phenotype in patients with breast cancer helps clinician make treatment choice and policy makers implement programs against this disease.

摘要

乳腺癌在女性中最为常见,是癌症相关死亡的主要原因之一。由于筛查项目和治疗进展,这种类型肿瘤的治愈率正在提高,这无疑提高了患者的生存率。但挑战依然存在,尤其是癌细胞的表型不稳定性方面。本研究的目的是分析2013年至2014年在穆罕默德六世癌症治疗中心接受治疗的乳腺癌患者的表型特征。我们在两年期间进行了一项横断面研究,纳入了在我们中心接受治疗的乳腺癌病例。数据从患者病历中收集,并使用Epi Info软件进行分析。我们中心共治疗了1277例患者。其中99.5%为女性,平均年龄50.20±11.34岁。最常见的组织学类型是浸润性导管癌(占病例的80.7%)。其在早期被诊断出来(占56.9%)。最常见的分子表型是管腔A型(占病例的41.4%)。管腔B型、HER2型和三阴性分别占病例的10.4%、6.3%、11.2%。对乳腺癌患者肿瘤表型的研究有助于临床医生做出治疗选择,也有助于政策制定者实施针对这种疾病的项目。