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Patient-derived orthotopic xenograft models for cancer of unknown primary precisely distinguish chemotherapy, and tumor-targeting S. typhimurium A1-R is superior to first-line chemotherapy

  • Kentaro Miyake
  • , Tasuku Kiyuna
  • , Masuyo Miyake
  • , Kei Kawaguchi
  • , Sang Nam Yoon
  • , Zhiying Zhang
  • , Kentaro Igarashi
  • , Sahar Razmjooei
  • , Sintawat Wangsiricharoen
  • , Takashi Murakami
  • , Yunfeng Li
  • , Scott D. Nelson
  • , Tara A. Russell
  • , Arun S. Singh
  • , Yukihiko Hiroshima
  • , Masashi Momiyama
  • , Ryusei Matsuyama
  • , Takashi Chishima
  • , Shree Ram Singh
  • , Itaru Endo
  • Fritz C. Eilber, Robert M. Hoffman

Research output: Contribution to journalArticlepeer-review

Abstract

Cancer of unknown primary (CUP) is a recalcitrant disease with poor prognosis because it lacks standard first-line therapy. CUP consists of diverse malignancy groups, making personalized precision therapy essential. The present study aimed to identify an effective therapy for a CUP patient using a patient-derived orthotopic xenograft (PDOX) model. This paper reports the usefulness of the PDOX model to precisely identify effective and ineffective chemotherapy and to compare the efficacy of S. typhimurium A1-R with first-line chemotherapy using the CUP PDOX model. The present study is the first to use a CUP PDOX model, which was able to precisely distinguish the chemotherapeutic course. We found that a carboplatinum (CAR)-based regimen was effective for this CUP patient. We also demonstrated that S. typhimurium A1-R was more effective against the CUP tumor than first-line chemotherapy. Our results indicate that S. typhimurium A1-R has clinical potential for CUP, a resistant disease that requires effective therapy.

Original languageEnglish
Article number12
JournalSignal Transduction and Targeted Therapy
Volume3
Issue number1
DOIs
Publication statusPublished - 01-12-2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Genetics
  • Cancer Research

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