Literature DB >> 31989583

Modeling rectal cancer to advance neoadjuvant precision therapy.

Harinarayanan Janakiraman1,2, Yun Zhu1,2, Scott A Becker1,2, Cindy Wang1,2, Ashley Cross3, Emily Curl3, David Lewin3, Brenda J Hoffman4, Graham W Warren5, Elizabeth G Hill6, Cynthia Timmers2,4, Victoria J Findlay2,3, Ernest R Camp1,2,7.   

Abstract

Progress in rectal cancer therapy has been hindered by the lack of effective disease-specific preclinical models that account for the unique molecular profile and biology of rectal cancer. Thus, we developed complementary patient-derived xenograft (PDX) and subsequent in vitro tumor organoid (PDTO) platforms established from preneoadjuvant therapy rectal cancer specimens to advance personalized care for rectal cancer patients. Multiple endoscopic samples were obtained from 26 Stages 2 and 3 rectal cancer patients prior to receiving 5FU/RT and implanted subcutaneously into NSG mice to generate 15 subcutaneous PDXs. Second passaged xenografts demonstrated 100% correlation with the corresponding human cancer histology with maintained mutational profiles. Individual rectal cancer PDXs reproduced the 5FU/RT response observed in the corresponding human cancers. Similarly, rectal cancer PDTOs reproduced significant heterogeneity in cellular morphology and architecture. PDTO in vitro 5FU/RT treatment response replicated the clinical 5FU/RT neoadjuvant therapy pathologic response observed in the corresponding patient tumors (p < 0.05). The addition of cetuximab to the 5FU/RT regiment was significantly more sensitive in the rectal cancer PDX and PDTOs with wild-type KRAS compared to mutated KRAS (p < 0.05). Considering the close relationship between the patient's cancer and the corresponding PDX/PDTO, rectal cancer patient-derived research platforms represent powerful translational research resources as population-based tools for biomarker discovery and experimental therapy testing. In addition, our findings suggest that cetuximab may enhance RT effectiveness by improved patient selection based on mutational profile in addition to KRAS or by developing a protocol using PDTOs to identify sensitive patients.
© 2020 UICC.

Entities:  

Keywords:  PDX model; chemoradiation; colorectal cancer; organoid

Mesh:

Substances:

Year:  2020        PMID: 31989583     DOI: 10.1002/ijc.32876

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  16 in total

Review 1.  Organoids as a Robust Preclinical Model for Precision Medicine in Colorectal Cancer: A Systematic Review.

Authors:  Michael Flood; Vignesh Narasimhan; Kasmira Wilson; Wei Mou Lim; Robert Ramsay; Michael Michael; Alexander Heriot
Journal:  Ann Surg Oncol       Date:  2021-10-01       Impact factor: 5.344

2.  A multicenter clinical study: personalized medication for advanced gastrointestinal carcinomas with the guidance of patient-derived tumor xenograft (PDTX).

Authors:  Yuan Cheng; Shu-Kui Qin; Jin Li; Guang-Hai Dai; Bai-Yong Shen; Jie-Er Ying; Yi Ba; Han Liang; Xin-Bo Wang; Ye Xu; Lin Zhou; Ke-Feng Ding; Yan-Ru Qin; Shu-Jun Yang; Wen-Xian Guan; Hui Zheng; Qian Wang; Hang Song; Yan-Ping Zhu
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-17       Impact factor: 4.553

3.  Patient-derived organoids as a preclinical platform for precision medicine in colorectal cancer.

Authors:  Young-Won Cho; Dong-Wook Min; Hwang-Phill Kim; Yohan An; Sheehyun Kim; Jeonghwan Youk; Jaeyoung Chun; Jong Pil Im; Sang-Hyun Song; Young Seok Ju; Sae-Won Han; Kyu Joo Park; Tae-You Kim
Journal:  Mol Oncol       Date:  2022-01-01       Impact factor: 7.449

Review 4.  Current and Future Perspectives of the Use of Organoids in Radiobiology.

Authors:  Peter W Nagle; Robert P Coppes
Journal:  Cells       Date:  2020-12-09       Impact factor: 6.600

Review 5.  Patient-Derived Cancer Organoids as Predictors of Treatment Response.

Authors:  Maikel Verduin; Ann Hoeben; Dirk De Ruysscher; Marc Vooijs
Journal:  Front Oncol       Date:  2021-03-18       Impact factor: 6.244

Review 6.  Predicting response to neoadjuvant chemoradiotherapy in rectal cancer: from biomarkers to tumor models.

Authors:  Moying Li; Qiyun Xiao; Nachiyappan Venkatachalam; Ralf-Dieter Hofheinz; Marlon R Veldwijk; Carsten Herskind; Matthias P Ebert; Tianzuo Zhan
Journal:  Ther Adv Med Oncol       Date:  2022-02-21       Impact factor: 8.168

7.  Identification of the nucleotide-free state as a therapeutic vulnerability for inhibition of selected oncogenic RAS mutants.

Authors:  Imran Khan; Akiko Koide; Mariyam Zuberi; Gayatri Ketavarapu; Eric Denbaum; Kai Wen Teng; J Matthew Rhett; Russell Spencer-Smith; G Aaron Hobbs; Ernest Ramsay Camp; Shohei Koide; John P O'Bryan
Journal:  Cell Rep       Date:  2022-02-08       Impact factor: 9.423

Review 8.  Preclinical models as patients' avatars for precision medicine in colorectal cancer: past and future challenges.

Authors:  Erika Durinikova; Kristi Buzo; Sabrina Arena
Journal:  J Exp Clin Cancer Res       Date:  2021-06-05

Review 9.  Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer.

Authors:  Giulia Rizzo; Andrea Bertotti; Simonetta Maria Leto; Stefania Vetrano
Journal:  J Exp Clin Cancer Res       Date:  2021-06-01

Review 10.  Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients.

Authors:  Aylin Alkan; Tobias Hofving; Eva Angenete; Ulf Yrlid
Journal:  Biomark Res       Date:  2021-07-28
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