Trever Bivona

Trever Bivona


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2012 in Nature Genetics
Verified
Journal Article
Open access
PDF file
ZZZhenfeng Zhang
Zhenfeng Zhang
JLJae Cheol Lee
Jae Cheol Lee
LLLuping Lin
Luping Lin
VOVictor Olivas
Victor Olivas
VAValerie Au
Valerie Au
TBTrever Bivona
Trever Bivona
Trever Bivona and colleagues identify the upregulation of the AXL kinase in human non–small cell lung cancer with acquired resistance to erlotinib. Inhibition of AXL restores sensitivity to erlotinib in in vitro and in vivo tumor models. The authors suggest AXL as a potential therapeutic target that may prevent or overcome acquired resistance in patients with EGFR-mutant lung cancer. Human non–small cell lung cancers (NSCLCs) with activating mutations in EGFR frequently respond to treatment with EGFR-targeted tyrosine kinase inhibitors (TKIs), such as erlotinib, but responses are not durable, as tumors acquire resistance. Secondary mutations in EGFR (such as T790M) or upregulation of the MET kinase are found in over 50% of resistant tumors. Here, we report increased activation of AXL and evidence for epithelial-to-mesenchymal transition (EMT) in multiple in vitro and in vivo EGFR-mutant lung cancer models with acquired resistance to erlotinib in the absence of the EGFR p.Thr790Met alteration or MET activation. Genetic or pharmacological inhibition of AXL restored sensitivity to erlotinib in these tumor models. Increased expression of AXL and, in some cases, of its ligand GAS6 was found in EGFR-mutant lung cancers obtained from individuals with acquired resistance to TKIs. These data identify AXL as a promising therapeutic target whose inhibition could prevent or overcome acquired resistance to EGFR TKIs in individuals with EGFR-mutant lung cancer.

20 August 2020 in Cell
Verified
Journal Article
Open access
AMAshley Maynard
Ashley Maynard
CMCaroline E. McCoach
Caroline E. McCoach
JRJulia K. Rotow
Julia K. Rotow
LHLincoln Harris
Lincoln Harris
FHFranziska Haderk
Franziska Haderk
TBTrever Bivona
Trever Bivona
Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) of metastatic lung cancer was performed using 49 clinical biopsies obtained from 30 patients before and during targeted therapy. Over 20,000 cancer and tumor microenvironment (TME) single-cell profiles exposed a rich and dynamic tumor ecosystem. scRNA-seq of cancer cells illuminated targetable oncogenes beyond those detected clinically. Cancer cells surviving therapy as residual disease (RD) expressed an alveolar-regenerative cell signature suggesting a therapy-induced primitive cell-state transition, whereas those present at on-therapy progressive disease (PD) upregulated kynurenine, plasminogen, and gap-junction pathways. Active T-lymphocytes and decreased macrophages were present at RD and immunosuppressive cell states characterized PD. Biological features revealed by scRNA-seq were biomarkers of clinical outcomes in independent cohorts. This study highlights how therapy-induced adaptation of the multi-cellular ecosystem of metastatic cancer shapes clinical outcomes.

9 February 2015 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
LLLuping Lin
Luping Lin
ASAmit J Sabnis
Amit J Sabnis
ECElton Chan
Elton Chan
VOVictor Olivas
Victor Olivas
LCLindsay Cade
Lindsay Cade
TBTrever Bivona
Trever Bivona

13 August 2018 in Nature Cell Biology
Verified
Journal Article
Closed access
PDF file
RNRobert J. Nichols
Robert J. Nichols
FHFranziska Haderk
Franziska Haderk
CSCarlos Stahlhut
Carlos Stahlhut
CSChristopher J. Schulze
Christopher J. Schulze
GHGolzar Hemmati
Golzar Hemmati
TBTrever Bivona
Trever Bivona

26 February 2021 in Science
Verified
Journal Article
Closed access
JQJeffrey J. Quinn
Jeffrey J. Quinn
MJMatthew G. Jones
Matthew G. Jones
RORoss A. Okimoto
Ross A. Okimoto
SNShigeki Nanjo
Shigeki Nanjo
MCMichelle M. Chan
Michelle M. Chan
JWJonathan S. Weissman
Jonathan S. Weissman
Following cancer through the body: The heterogeneity of mammalian tumors has been well documented, but it remains unknown how differences between individual cells lead to metastasis and spread throughout the body. Quinn et al. created a Cas9-based lineage tracer and used single-cell sequencing to generate phylogenies and follow the movement of metastatic human cancer cells implanted in the lung of a mouse xenograph model. Using this model, they found that within the same cell line, cancer cells exhibited diverse metastatic phenotypes. These subclones exhibited differential gene expression profiles, some of which were previously associated with metastasis. Science , this issue p. eabc1944

26 November 2018 in Nature Medicine
Verified
Journal Article
Closed access
PDF file
KSKhyati N. Shah
Khyati N. Shah
RBRoma Bhatt
Roma Bhatt
JRJulia Rotow
Julia Rotow
JRJulia Rohrberg
Julia Rohrberg
VOVictor Olivas
Victor Olivas
SBSourav Bandyopadhyay
Sourav Bandyopadhyay