日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Improved breast cancer diagnosis using a CA15-3 capture antibody-lectin sandwich assay.

利用 CA15-3 捕获抗体-凝集素夹心法改进乳腺癌诊断

Nikseresht S, Shewell L K, Day C J, Jennings M P, Chittoory H, McCart Reed A E, Simpson P T, Lakhani S R, Nabiee R, Moore M, Khanabdali R, Hinch L M, Rice G E

Hereditary breast cancer: syndromes, tumour pathology and molecular testing

遗传性乳腺癌:综合征、肿瘤病理学和分子检测

Sokolova, A; Johnstone, K J; McCart Reed, A E; Simpson, P T; Lakhani, S R

Comparison of actionable events detected in cancer genomes by whole-genome sequencing, in silico whole-exome and mutation panels

通过全基因组测序、计算机模拟全外显子组测序和突变谱分析,比较在癌症基因组中检测到的可操作事件。

Ramarao-Milne, P; Kondrashova, O; Patch, A-M; Nones, K; Koufariotis, L T; Newell, F; Addala, V; Lakis, V; Holmes, O; Leonard, C; Wood, S; Xu, Q; Mukhopadhyay, P; Naeini, M M; Steinfort, D; Williamson, J P; Bint, M; Pahoff, C; Nguyen, P T; Twaddell, S; Arnold, D; Grainge, C; Basirzadeh, F; Fielding, D; Dalley, A J; Chittoory, H; Simpson, P T; Aoude, L G; Bonazzi, V F; Patel, K; Barbour, A P; Fennell, D A; Robinson, B W; Creaney, J; Hollway, G; Pearson, J V; Waddell, N

Whole-genome sequencing reveals clinically relevant insights into the aetiology of familial breast cancers

全基因组测序揭示了家族性乳腺癌病因学中具有临床意义的见解

Nones, K; Johnson, J; Newell, F; Patch, A M; Thorne, H; Kazakoff, S H; de Luca, X M; Parsons, M T; Ferguson, K; Reid, L E; McCart Reed, A E; Srihari, S; Lakis, V; Davidson, A L; Mukhopadhyay, P; Holmes, O; Xu, Q; Wood, S; Leonard, C; Beesley, J; Harris, J M; Barnes, D; Degasperi, A; Ragan, M A; Spurdle, A B; Khanna, K K; Lakhani, S R; Pearson, J V; Nik-Zainal, S; Chenevix-Trench, G; Waddell, N; Simpson, P T

Mutational mechanisms of amplifications revealed by analysis of clustered rearrangements in breast cancers

通过对乳腺癌中聚集性重排的分析揭示扩增的突变机制

Głodzik, D; Purdie, C; Rye, I H; Simpson, P T; Staaf, J; Span, P N; Russnes, H G; Nik-Zainal, S

Meta-analysis of the global gene expression profile of triple-negative breast cancer identifies genes for the prognostication and treatment of aggressive breast cancer

对三阴性乳腺癌全球基因表达谱的荟萃分析,鉴定出可用于预测和治疗侵袭性乳腺癌的基因

Al-Ejeh, F; Simpson, P T; Saunus, J M; Klein, K; Kalimutho, M; Shi, W; Miranda, M; Kutasovic, J; Raghavendra, A; Madore, J; Reid, L; Krause, L; Chenevix-Trench, G; Lakhani, S R; Khanna, K K