Predicting cancer immunotherapy response from gut microbiomes using machine learning models

Hai Liang; Jay Hyun Jo; Zhiwei Zhang; Margaret A. MacGibeny; Jungmin Han; Diana M. Proctor; Monica E. Taylor; You Che; Paul Juneau; Andrea B. Apolo; John A. McCulloch; Diwakar Davar; Hassane M. Zarour; Amiran K. Dzutsev; Isaac Brownell; Giorgio Trinchieri; James L. Gulley; Heidi H. Kong

doi:10.18632/oncotarget.28252

Predicting cancer immunotherapy response from gut microbiomes using machine learning models

Hai Liang
, Jay Hyun Jo
, Zhiwei Zhang
, Margaret A. MacGibeny
, Jungmin Han
, Diana M. Proctor
, Monica E. Taylor
, You Che
, Paul Juneau
, Andrea B. Apolo
, John A. McCulloch
, Diwakar Davar
, Hassane M. Zarour
, Amiran K. Dzutsev
, Isaac Brownell
, Giorgio Trinchieri
, James L. Gulley
, Heidi H. Kong

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

Original language	English
Pages (from-to)	876-889
Number of pages	14
Journal	Oncotarget
Volume	13
Issue number	1
DOIs	https://doi.org/10.18632/oncotarget.28252
State	Published - 2022
Externally published	Yes

ASJC Scopus Subject Areas

Oncology

Keywords

16S rRNA
gut microbiome
immunotherapy
machine learning
metagenomics

Access to Document

10.18632/oncotarget.28252

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Liang, H., Jo, J. H., Zhang, Z., MacGibeny, M. A., Han, J., Proctor, D. M., Taylor, M. E., Che, Y., Juneau, P., Apolo, A. B., McCulloch, J. A., Davar, D., Zarour, H. M., Dzutsev, A. K., Brownell, I., Trinchieri, G., Gulley, J. L., & Kong, H. H. (2022). Predicting cancer immunotherapy response from gut microbiomes using machine learning models. Oncotarget, 13(1), 876-889. https://doi.org/10.18632/oncotarget.28252

Liang, H, Jo, JH, Zhang, Z, MacGibeny, MA, Han, J, Proctor, DM, Taylor, ME, Che, Y, Juneau, P, Apolo, AB, McCulloch, JA, Davar, D, Zarour, HM, Dzutsev, AK, Brownell, I, Trinchieri, G, Gulley, JL & Kong, HH 2022, 'Predicting cancer immunotherapy response from gut microbiomes using machine learning models', Oncotarget, vol. 13, no. 1, pp. 876-889. https://doi.org/10.18632/oncotarget.28252

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title = "Predicting cancer immunotherapy response from gut microbiomes using machine learning models",

keywords = "16S rRNA, gut microbiome, immunotherapy, machine learning, metagenomics",

author = "Hai Liang and Jo, \{Jay Hyun\} and Zhiwei Zhang and MacGibeny, \{Margaret A.\} and Jungmin Han and Proctor, \{Diana M.\} and Taylor, \{Monica E.\} and You Che and Paul Juneau and Apolo, \{Andrea B.\} and McCulloch, \{John A.\} and Diwakar Davar and Zarour, \{Hassane M.\} and Dzutsev, \{Amiran K.\} and Isaac Brownell and Giorgio Trinchieri and Gulley, \{James L.\} and Kong, \{Heidi H.\}",

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AU - Zhang, Zhiwei

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AU - Han, Jungmin

AU - Proctor, Diana M.

AU - Taylor, Monica E.

AU - Che, You

AU - Juneau, Paul

AU - Apolo, Andrea B.

AU - McCulloch, John A.

AU - Davar, Diwakar

AU - Zarour, Hassane M.

AU - Dzutsev, Amiran K.

AU - Brownell, Isaac

AU - Trinchieri, Giorgio

AU - Gulley, James L.

AU - Kong, Heidi H.

PY - 2022

Y1 - 2022

KW - 16S rRNA

KW - gut microbiome

KW - immunotherapy

KW - machine learning

KW - metagenomics

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Predicting cancer immunotherapy response from gut microbiomes using machine learning models

ASJC Scopus Subject Areas

Keywords

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