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Belinda A. Waltman
Researcher at Harvard University
Publications - 10
Citations - 5306
Belinda A. Waltman is an academic researcher from Harvard University. The author has contributed to research in topics: Insulin resistance & EGFR inhibitors. The author has an hindex of 7, co-authored 10 publications receiving 4769 citations. Previous affiliations of Belinda A. Waltman include Beth Israel Deaconess Medical Center.
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Journal ArticleDOI
Genotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors
Lecia V. Sequist,Belinda A. Waltman,Dora Dias-Santagata,Subba R. Digumarthy,Alexa B. Turke,Panos Fidias,Kristin Bergethon,Alice T. Shaw,Scott N. Gettinger,Arjola K. Cosper,Sara Akhavanfard,Rebecca S. Heist,Jennifer S. Temel,James G. Christensen,John C. Wain,Thomas J. Lynch,Kathy Vernovsky,Eugene J. Mark,Michael Lanuti,A. John Iafrate,Mari Mino-Kenudson,Jeffrey A. Engelman +21 more
TL;DR: Detailed genetic and histological analysis of 37 patients with drug-resistant non–small cell lung cancers carrying EGFR mutations provides new insights into the shifting sands of drug resistance evolution in lung cancers and suggests that serial biopsies may be essential in the quest to reverse or even prevent the development ofdrug resistance.
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Isolation of circulating tumor cells using a microvortex-generating herringbone-chip
Shannon L. Stott,Chia-Hsien Hsu,Chia-Hsien Hsu,Chia-Hsien Hsu,Dina Tsukrov,Min Yu,David T. Miyamoto,Belinda A. Waltman,S. Michael Rothenberg,Ajay Shah,Malgorzata E. Smas,George K. Korir,Frederick P. Floyd,Anna J. Gilman,Jenna B. Lord,Daniel Winokur,Simeon Springer,Daniel Irimia,Daniel Irimia,Sunitha Nagrath,Sunitha Nagrath,Lecia V. Sequist,Lecia V. Sequist,Richard T. Lee,Richard T. Lee,Kurt J. Isselbacher,Shyamala Maheswaran,Daniel A. Haber,Daniel A. Haber,Mehmet Toner,Mehmet Toner +30 more
TL;DR: A high-throughput microfluidic mixing device, the herringbone-chip, or “HB-Chip,” is described, which provides an enhanced platform for CTC isolation and reveals microclusters of CTCs, previously unappreciated tumor cell aggregates that may contribute to the hematogenous dissemination of cancer.
Journal ArticleDOI
Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice
Lecia V. Sequist,Rebecca S. Heist,Alice T. Shaw,Panos Fidias,Rachel P. Rosovsky,Jennifer S. Temel,Inga T. Lennes,Subba R. Digumarthy,Belinda A. Waltman,E. Bast,Swathi Tammireddy,Laura Morrissey,Alona Muzikansky,Sarah B. Goldberg,Justin F. Gainor,Colleen L. Channick,John C. Wain,Henning A. Gaissert,Dean M. Donahue,Ashok Muniappan,Cameron D. Wright,Henning Willers,Douglas J. Mathisen,Noah C. Choi,José Baselga,Thomas J. Lynch,Leif W. Ellisen,Mari Mino-Kenudson,Michael Lanuti,Darrell R. Borger,Anthony J. Iafrate,Jeffrey A. Engelman,Dora Dias-Santagata +32 more
TL;DR: Broad genotyping can be efficiently incorporated into an NSCLC clinic and has great utility in influencing treatment decisions and directing patients toward relevant clinical trials as more targeted therapies are developed.
Journal ArticleDOI
BIM expression in treatment naïve cancers predicts responsiveness to kinase inhibitors
Anthony C. Faber,Ryan B. Corcoran,Hiromichi Ebi,Lecia V. Sequist,Belinda A. Waltman,Euiheon Chung,Joao Incio,Subba R. Digumarthy,Sarah F. Pollack,Youngchul Song,Alona Muzikansky,Eugene Lifshits,Sylvie Roberge,Erik J. Coffman,Cyril H. Benes,Henry L. Gomez,José Baselga,Carlos L. Arteaga,Miguel Rivera,Dora Dias-Santagata,Rakesh K. Jain,Jeffrey A. Engelman +21 more
TL;DR: Assessment of BIM levels in treatment-naïve tumor biopsies may indicate the degree of benefit from single-agent kinase inhibitors in multiple oncogene-addiction paradigms.
Journal ArticleDOI
Nomogram to predict the presence of EGFR activating mutation in lung adenocarcinoma
Nicolas Girard,Camelia S. Sima,David M. Jackman,Lecia V. Sequist,Heidi Chen,James Chih-Hsin Yang,Hongbin Ji,Belinda A. Waltman,Rafael Rosell,Miquel Taron,Maureen F. Zakowski,M. Ladanyi,G. J. Riely,William Pao +13 more
TL;DR: A model-based nomogram was established and showed excellent discriminating accuracy and could be highly useful to predict the presence of EGFR mutations in lung adenocarcinoma in non-Asian patients when mutational profiling is not available or possible.