100
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Tumor characteristics associated with engraftment of patient‐derived non–small cell lung cancer xenografts in immunocompromised mice

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Patient-derived xenograft (PDX) models are increasingly used in translational research, however, the engraftment rates of patient tumor samples in immunodeficient mice to PDX models vary greatly. Tumor tissue samples from 308 NSCLC patients were implanted in immunodeficient mice. The patients were followed for 1.5 to about 6 years. We performed histological analysis of PDXs and some residual tumor tissues in mice with failed PDX growth at 1 year after implantation. Quantitative PCR and ELISA were performed to measure the levels of Epstein-Barr virus genes and human immunoglobulin G in PDX samples. Patients’ characteristics were compared for PDX growth and overall survival as outcomes using cox regression analyses. Overall engraftment rate of NSCLC PDXs was 34%. Squamous cell carcinomas had a higher engraftment rate (53%) than did adenocarcinomas. Tumor samples from patients with stage II and III diseases and from larger tumors had relatively high engraftment rates. Patients whose tumors successfully engrafted had worse overall survival, particularly those with adenocarcinoma, stage III or IV disease, and moderately differentiated tumors. Lymphoma formation was one of factors associated with engraftment failures. Human CD8+ and CD20+ cells were detected in residual samples of tumor tissue that failed to generate a PDX at 1 year after implantation. Human immunoglobulin G was detected in the plasma of mice that did not have PDX growth at 14 months after implantation. Our results indicate that characteristics of cancer cells and tumor immune microenvironment in primary tumors can both affect engraftment of a primary tumor sample. This study identified clinical tumor characteristics, biological features of cancer cells, and tumor immune microenvironment are associated with successful engraftment of tumor samples. Patients’ immune cells can be present for a long time in residual tissue from failed PDXs, which indicates that these immune cells may play roles in inhibiting PDX engraftment.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          A pilot clinical study of treatment guided by personalized tumorgrafts in patients with advanced cancer.

          Patients with many advanced solid cancers have very poor prognosis, and improvements in life expectancy are measured only in months. We have recently reported the remarkable clinical outcome of a patient with advanced, gemcitabine-resistant, pancreatic cancer who was later treated with DNA-damaging agents, on the basis of the observation of significant activity of this class of drugs against a personalized tumorgraft generated from the patient's surgically resected tumor. Here, we extend the approach to patients with other advanced cancers. Tumors resected from 14 patients with refractory advanced cancers were propagated in immunodeficient mice and treated with 63 drugs in 232 treatment regimens. An effective treatment regimen in the xenograft model was identified for 12 patients. One patient died before receiving treatment, and the remaining 11 patients received 17 prospectively guided treatments. Fifteen of these treatments resulted in durable partial remissions. In 2 subjects, no effective treatments were found. Overall, there was a remarkable correlation between drug activity in the model and clinical outcome, both in terms of resistance and sensitivity. The data support the use of the personalized tumorgraft model as a powerful investigational platform for therapeutic decision making and to efficiently guide cancer treatment in the clinic. ©2011 AACR
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Pancreatic Adenocarcinoma Therapeutic Targets Revealed by Tumor-Stroma Cross-Talk Analyses in Patient-Derived Xenografts

            SUMMARY Preclinical models based on patient-derived xenografts have remarkable specificity in distinguishing transformed human tumor cells from non-transformed murine stromal cells computationally. We obtained 29 pancreatic ductal adenocarcinoma (PDAC) xenografts from either resectable or non-resectable patients (surgery and endoscopic ultrasound-guided fine-needle aspirate, respectively). Extensive multiomic profiling revealed two subtypes with distinct clinical outcomes. These subtypes uncovered specific alterations in DNA methylation and transcription as well as in signaling pathways involved in tumor-stromal cross-talk. The analysis of these pathways indicates therapeutic opportunities for targeting both compartments and their interactions. In particular, we show that inhibiting NPC1L1 with Ezetimibe, a clinically available drug, might be an efficient approach for treating pancreatic cancers. These findings uncover the complex and diverse interplay between PDAC tumors and the stroma and demonstrate the pivotal role of xenografts for drug discovery and relevance to PDAC.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A Comprehensive Patient-Derived Xenograft Collection Representing the Heterogeneity of Melanoma

              Therapy of advanced melanoma has been changing dramatically. Following mutational and biological sub-classification of this heterogeneous cancer, several targeted and immune therapies were approved and increased survival significantly. To facilitate further advancements through pre-clinical in vivo modeling, we have established 459 patient-derived xenografts (PDX) and live tissue samples from 384 patients representing the full spectrum of clinical, therapeutic, mutational, and biological heterogeneity of melanoma. PDX have been characterized using targeted sequencing and protein arrays, and are clinically annotated. This exhaustive live tissue resource includes PDX from 57 samples resistant to targeted therapy, 61 samples from responders and non-responders to immune checkpoint blockade, and 31 samples from brain metastasis. Uveal, mucosal, and acral subtypes are represented as well. We show examples of pre-clinical trials that highlight how the PDX collection can be used to develop and optimize precision therapies, biomarkers of response, and the targeting of rare genetic subgroups.
                Bookmark

                Author and article information

                Journal
                Cancer
                Cancer
                Wiley
                0008-543X
                1097-0142
                July 09 2019
                July 09 2019
                Affiliations
                [1 ]Department of Thoracic and Cardiovascular Surgery The University of Texas MD Anderson Cancer Center Houston Texas
                [2 ]Department of Medical Oncology Sun Yat‐Sen University Cancer Center and Collaborative Innovation Center of Cancer Medicine of The First People's Hospital of Foshan Guangdong China
                [3 ]Department of Laboratory Medicine The University of Texas MD Anderson Cancer Center Houston Texas
                [4 ]Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer Center Houston Texas
                [5 ]Department of Veterinary Medicine and Surgery The University of Texas MD Anderson Cancer Center Houston Texas
                [6 ]Department of Thoracic/Head and Neck Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas
                Article
                10.1002/cncr.32366
                7294643
                31287557
                4e31bfaf-a6f6-4ac5-b263-75247ddf4198
                © 2019

                http://doi.wiley.com/10.1002/tdm_license_1.1

                History

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content3,902

                Cited by21

                Most referenced authors1,251