Biodynamic response prediction in breast cancer patients receiving neoadjuvant chemotherapy.

Travis Morgan; Eric Whitacre; William Burak; Eric Manahan; Timothy Goedde; Andrew Greenspan; John Woods; David Nolte; John Turek; David M. Loesch; Ran An

doi:10.1200/JCO.2020.38.15_SUPPL.E12643

Biodynamic response prediction in breast cancer patients receiving neoadjuvant chemotherapy.

Travis Morgan
, Eric Whitacre
, William Burak
, Eric Manahan
, Timothy Goedde
, Andrew Greenspan
, John Woods
, David Nolte
, John Turek
, David M. Loesch
, Ran An

Animated Dynamics, Inc., Indianapolis, IN;
Breast Center of Southern Arizona, Tucson, AZ;
Memorial Health, Savannah, GA;
ASBrS, Dalton, GA;
Community Health Network, Indianapolis, IN;
Central Indiana Cancer Center, Indianapolis, IN;
Indiana University – Purdue University Indianapolis
Purdue University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of Clinical Oncology
Volume	38
DOIs	https://doi.org/10.1200/JCO.2020.38.15_SUPPL.E12643
State	Published - May 20 2020
Externally published	Yes

Disciplines

Medicine and Health Sciences
Oncology
Internal Medicine

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10.1200/JCO.2020.38.15_SUPPL.E12643License: Unspecified

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@article{cb903cd7e9a146c4a887f7aed19d3594,

title = "Biodynamic response prediction in breast cancer patients receiving neoadjuvant chemotherapy.",

author = "Travis Morgan and Eric Whitacre and William Burak and Eric Manahan and Timothy Goedde and Andrew Greenspan and John Woods and David Nolte and John Turek and Loesch, \{David M.\} and Ran An",

note = "e12643 Background: Biodynamic signatures (temporal patterns of microscopic motion within a three-dimensional tumor explant) offer a phenomic biomarker that is highly predictive for therapeutic response. The purpose of this study is to evaluate predictive accuracy of a biodynamic drug response classifier in breast cancer patients receiving neoadjuvant chemotherapy (NAC).",

year = "2020",

month = may,

day = "20",

doi = "10.1200/JCO.2020.38.15\_SUPPL.E12643",

language = "American English",

volume = "38",

journal = "Journal of Clinical Oncology",

}

TY - JOUR

T1 - Biodynamic response prediction in breast cancer patients receiving neoadjuvant chemotherapy.

AU - Morgan, Travis

AU - Whitacre, Eric

AU - Burak, William

AU - Manahan, Eric

AU - Goedde, Timothy

AU - Greenspan, Andrew

AU - Woods, John

AU - Nolte, David

AU - Turek, John

AU - Loesch, David M.

AU - An, Ran

N1 - e12643 Background: Biodynamic signatures (temporal patterns of microscopic motion within a three-dimensional tumor explant) offer a phenomic biomarker that is highly predictive for therapeutic response. The purpose of this study is to evaluate predictive accuracy of a biodynamic drug response classifier in breast cancer patients receiving neoadjuvant chemotherapy (NAC).

PY - 2020/5/20

Y1 - 2020/5/20

UR - https://ascopubs.org/doi/abs/10.1200/JCO.2020.38.15_suppl.e12643

U2 - 10.1200/JCO.2020.38.15_SUPPL.E12643

DO - 10.1200/JCO.2020.38.15_SUPPL.E12643

M3 - Article

VL - 38

JO - Journal of Clinical Oncology

JF - Journal of Clinical Oncology

ER -

Biodynamic response prediction in breast cancer patients receiving neoadjuvant chemotherapy.

Disciplines

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