Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
about
The Diagnosis and Treatment of Bronchopulmonary CarcinoidComparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects.Therapeutic biomarkers in lung neuroendocrine neoplasia.Next-generation sequencing for endocrine cancers: Recent advances and challenges.The impact of immunohistochemistry on the classification of lung tumors.Prognostic Significance of CD44 and Orthopedia Homeobox Protein (OTP) Expression in Pulmonary Carcinoid Tumours.Ki-67 labeling index of neuroendocrine tumors of the lung has a high level of correspondence between biopsy samples and surgical specimens when strict counting guidelines are applied.Gastroenteropancreatic neuroendocrine tumours: an overview.Tumor cell proliferation, proliferative index and mitotic count in lung cancer.Ki-67 expression in pulmonary tumors.Classification of pulmonary neuroendocrine tumors: new insights.Measurement of circulating transcripts and gene cluster analysis predicts and defines therapeutic efficacy of peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors.
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P2860
Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh-hant
name
Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
@en
type
label
Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
@en
prefLabel
Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
@en
P2860
P1433
P1476
Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.
@en
P2093
Giuseppe Pelosi
Mauro Papotti
P2860
P2888
P304
P356
10.1007/S12022-014-9320-0
P577
2014-06-01T00:00:00Z
P6179
1030494153