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标题（英文）： Prediction of axillary lymph node metastasis in triple-negative breast cancer by multi-omics analysis and an integrated model
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"content_short": "{"type":"doc","content":[{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"多组学系列文章-1","attrs":{}}]},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"标题（英文）：","attrs":{}},{"type":"text","text":" Prediction of axillary lymph node metastasis in triple-negative breast cancer by multi-omics analysis and an integrated model","attrs":{}}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"标题（中文）：","attrs":{}},{"type":"text","text":" 基于多组学分析和综合模型的三阴性乳腺癌腋窝淋巴结转移预测","attrs":{}}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"发表期刊：","attrs":{}},{"type":"text","text":" Annals of Translational Medicine","attrs":{}}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"作者单位：","attrs":{}},{"type":"text","text":" 复旦大学上海肿瘤中心乳腺外科等","attrs":{}}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"发表年份：","attrs":{}},{"type":"text","text":" 2022","attrs":{}}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong","attrs":{}}],"text":"文章地址：","attrs":{}},{"type":"text","text":" ","attrs":{}},{"type":"link","attrs":{"href":"https://dx.doi.org/10.21037/atm-22-277","title":null,"type":null},"content":[{"type":"text","text":"https://dx.doi.org/10.21037/atm-22-277","attrs":{}}]}]}]}],"attrs":{}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https://static001.geekbang.org/infoq/20/2095cb44efab7b3f207ddd510d81d63a.png","alt":"在这里插入图片描述","title":null,"style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":null,"fromPaste":true,"pastePass":true}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"为避免不必要的术后并发症，必须选择无腋窝淋巴结 （LN） 转移的乳腺癌患者。目前，乳腺癌的淋巴转移LNM预测模型有几种，其中大多数是基于临床病理学。然而，与其他亚型相比，这些模型对三阴性乳腺癌（TNBC）的预测性能较差。一些研究试图利用信使RNA（mRNA）测序数据预测乳腺癌淋巴结转移状态，但这些模型仍然无法准确预测TNBC中的腋窝LNM。","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"本研究通过研究LN阳性和LN阴性患者之间的差异，共选取445例具有淋巴结状态和多组学数据的TNBC患者，并分为训练集和验证集，分析了临床病理学特征和多组学数据，进行了生物标志物发现，并将这些生物标志物用于建立多组学模型。","attrs":{}}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https://static001.geekbang.org/infoq/4b/4b4f81d2ecf2b013a9dd84b98d796fd9.png","alt":"在这里插入图片描述","title":null,"style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":null,"fromPaste":true,"pastePass":true}}]}",
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