Skip to main content
Journal cover image

Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer.

Publication ,  Journal Article
Altunel, E; Roghani, RS; Chen, K-Y; Kim, SY; McCall, S; Ware, KE; Shen, X; Somarelli, JA; Hsu, DS
Published in: BMC Cancer
June 24, 2020

BACKGROUND: Metastatic colorectal cancer (CRC) continues to be a major health problem, and current treatments are primarily for disease control and palliation of symptoms. In this study, we developed a precision medicine strategy to discover novel therapeutics for patients with CRC. METHODS: Six matched low-passage cell lines and patient-derived xenografts (PDX) were established from CRC patients undergoing resection of their cancer. High-throughput drug screens using a 119 FDA-approved oncology drug library were performed on these cell lines, which were then validated in vivo in matched PDXs. RNA-Seq analysis was then performed to identify predictors of response. RESULTS: Our study revealed marked differences in response to standard-of-care agents across patients and pinpointed druggable pathways to treat CRC. Among these pathways co-targeting of fibroblast growth factor receptor (FGFR), SRC, platelet derived growth factor receptor (PDGFR), or vascular endothelial growth factor receptor (VEGFR) signaling was found to be an effective strategy. Molecular analyses revealed potential predictors of response to these druggable pathways. CONCLUSIONS: Our data suggests that the use of matched low-passage cell lines and PDXs is a promising strategy to identify new therapies and pathways to treat metastatic CRC.

Duke Scholars

Published In

BMC Cancer

DOI

EISSN

1471-2407

Publication Date

June 24, 2020

Volume

20

Issue

1

Start / End Page

592

Location

England

Related Subject Headings

  • src-Family Kinases
  • Xenograft Model Antitumor Assays
  • Standard of Care
  • Signal Transduction
  • Receptors, Vascular Endothelial Growth Factor
  • Receptors, Platelet-Derived Growth Factor
  • Receptors, Fibroblast Growth Factor
  • RNA-Seq
  • Precision Medicine
  • Oncology & Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Altunel, E., Roghani, R. S., Chen, K.-Y., Kim, S. Y., McCall, S., Ware, K. E., … Hsu, D. S. (2020). Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer. BMC Cancer, 20(1), 592. https://doi.org/10.1186/s12885-020-07090-y
Altunel, Erdem, Roham S. Roghani, Kai-Yuan Chen, So Young Kim, Shannon McCall, Kathryn E. Ware, Xiling Shen, Jason A. Somarelli, and David S. Hsu. “Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer.BMC Cancer 20, no. 1 (June 24, 2020): 592. https://doi.org/10.1186/s12885-020-07090-y.
Altunel E, Roghani RS, Chen K-Y, Kim SY, McCall S, Ware KE, et al. Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer. BMC Cancer. 2020 Jun 24;20(1):592.
Altunel, Erdem, et al. “Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer.BMC Cancer, vol. 20, no. 1, June 2020, p. 592. Pubmed, doi:10.1186/s12885-020-07090-y.
Altunel E, Roghani RS, Chen K-Y, Kim SY, McCall S, Ware KE, Shen X, Somarelli JA, Hsu DS. Development of a precision medicine pipeline to identify personalized treatments for colorectal cancer. BMC Cancer. 2020 Jun 24;20(1):592.
Journal cover image

Published In

BMC Cancer

DOI

EISSN

1471-2407

Publication Date

June 24, 2020

Volume

20

Issue

1

Start / End Page

592

Location

England

Related Subject Headings

  • src-Family Kinases
  • Xenograft Model Antitumor Assays
  • Standard of Care
  • Signal Transduction
  • Receptors, Vascular Endothelial Growth Factor
  • Receptors, Platelet-Derived Growth Factor
  • Receptors, Fibroblast Growth Factor
  • RNA-Seq
  • Precision Medicine
  • Oncology & Carcinogenesis