L
Lance D. Miller
Researcher at Wake Forest University
Publications - 208
Citations - 16169
Lance D. Miller is an academic researcher from Wake Forest University. The author has contributed to research in topics: Cancer & Breast cancer. The author has an hindex of 58, co-authored 195 publications receiving 14459 citations. Previous affiliations of Lance D. Miller include University of Texas MD Anderson Cancer Center & East Carolina University.
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Journal ArticleDOI
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
Lance D. Miller,Johanna Smeds,Joshy George,Vinsensius B. Vega,Liza A. Vergara,Alexander Ploner,Yudi Pawitan,Per Hall,Sigrid Klaar,Edison T. Liu,Jonas Bergh +10 more
TL;DR: The p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels, showing the primary importance of p53 functional status in predicting clinical breast cancer behavior.
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A global map of p53 transcription-factor binding sites in the human genome.
Chia-Lin Wei,Qiang Wu,Vinsensius B. Vega,Kuo Ping Chiu,Patrick Ng,Tao Zhang,Atif Shahab,How Choong Yong,Yutao Fu,Zhiping Weng,Jianjun Liu,Xiao Dong Zhao,Joon-Lin Chew,Joon-Lin Chew,Yen Ling Lee,Vladimir A. Kuznetsov,Wing-Kin Sung,Lance D. Miller,Bing Lim,Bing Lim,Edison T. Liu,Qiang Yu,Huck-Hui Ng,Huck-Hui Ng,Yijun Ruan +24 more
TL;DR: A robust approach is described that couples chromatin immunoprecipitation (ChIP) with the paired-end ditag (PET) sequencing strategy for unbiased and precise global localization of transcription-factor binding sites (TFBS).
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Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.
Yudi Pawitan,Judith Bjöhle,Lukas C. Amler,Anna-Lena Borg,Suzanne Egyhazi,Per Hall,Xia Han,Lars Holmberg,Fei Huang,Sigrid Klaar,Edison T. Liu,Lance D. Miller,Hans Nordgren,Alexander Ploner,Kerstin Sandelin,Peter M. Shaw,Johanna Smeds,Lambert Skoog,Sara Wedrén,Jonas Bergh +19 more
TL;DR: A subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes, and the signature associated with prognosis and impact of adjuvant therapies was identified.
Journal ArticleDOI
High-fidelity mRNA amplification for gene profiling.
TL;DR: A procedure that optimizes amplification of low-abundance RNA samples by combining antisense RNA (aRNA) amplification with a template-switching effect is devised, and the fidelity of aRNA amplified was comparable to expression profiles observed with conventional poly(A) RNA- or T-RNA-based arrays.
Journal ArticleDOI
Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer
Anna V. Ivshina,Joshy George,Oleg Senko,Benjamin Mow,Thomas C. Putti,Johanna Smeds,Thomas Lindahl,Yudi Pawitan,Per Hall,Hans Nordgren,John Wong,Edison T. Liu,Jonas Bergh,Vladimir A. Kuznetsov,Lance D. Miller +14 more
TL;DR: The findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low- and high-grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression.