GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 44-44
    Abstract: Renal cell carcinoma (RCC), is the most common kidney cancer of adults, originating in the lining of the proximal convoluted tubule. Prognosis is poor in patients with advanced or metastasized RCC. Drug resistance towards Standard of Care (SoC, incl. everolimus, sorafenib, or sunitinib) drugs develops frequently within months. Therefore, development of novel options to target acquired TKI resistance mechanisms in advanced and metastatic RCC is still an urgent medical need. Preclinical models with high translational relevance can promote the implementation of novel personalized therapies. To evaluate novel targeted therapies and their combinations in preclinical settings, patient-derived xenograft (PDX) models represent valuable tools. Responsible local ethics committees approved usage of patient tissue and all animal procedures. In this study, RCC tissue from 167 patients was collected and xenotransplanted in mice. Partially, a multi-region approach, xenografting tissue from different regions of one tumor, was used. PDX models were characterized by immunohistochemistry (Ki-67, CD31, Pax2 and Pax8 antibodies), gene expression, copy number variations and mutational analyses. To evaluate in vivo drug response of RCC PDX models, mice transplanted with PDX tumors were treated with bevacizumab (i.p.), with everolimus, sorafenib, or sunitinib (p.o.). Adopted clinical response criteria for solid tumors (RECIST) were applied to classify the anti-tumor activity of the tested compounds in RCC PDX models. Next generation sequencing (NGS, panel) and transcriptome data were used to compare primary tumors and metastases. A comprehensive panel of subcutaneous RCC PDX models with well-conserved molecular and pathological features over multiple passages was established. The overall take for the RCC PDX in this study was 21%. Tumor growth characteristics were heterogeneous throughout the different models but were stable during in vivo passaging. Drug screening towards four SoC drugs, targeting the VEGF and PI3K/mTOR pathway, revealed individual and heterogeneous response profiles in the PDX, resembling the clinical situation. Intra-tumor heterogeneity can be assessed via PDX models from multi-tumor regions from one patient in our platform. Development of corresponding in vitro cell culture models from the PDX enables advanced high throughput drug screening in a personalized context. Analyzing novel targeted molecules is possible due to the pre-established molecular characterization of the PDX at the genomic and expression level. In conclusion, we established a new and molecularly characterized panel of RCC PDX models with high relevance for translational preclinical research. Citation Format: Dennis Kobelt, Dennis Gürgen, Michael Becker, Mathias Dahlmann, Susanne Flechsig, Elke Schaeffeler, Florian A. Büttner, Christian Schmees, Regina Bohnert, Jens Bedke, Matthias Schwab, Johann J. Wendler, Martin Schostak, Burkhard Jandrig, Wolfgang Walther, Jens Hoffmann. An in vivo platform of pre-characterized renal cell carcinoma (RCC) patient-derived xenograft models allows the preclinical evaluation of patient-tailored intervention strategies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 44.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1843-1843
    Abstract: Background: Patients with advanced renal cell cancer (RCC) have a poor prognosis not least because of resistance towards standard drugs (SoC). Recently, pronounced intratumoral heterogeneity (ITH) in RCC was shown. We were interested whether this ITH is a potential cause for treatment failure. We developed a large panel of patient-derived xenograft (PDX) models from RCC, including subsets of models from different regions of one individual tumor. The PDX models were evaluated for response to SoC. To better understand correlations between inter- and intratumoral heterogeneity and treatment response, tumor models were panel sequenced and expression profiled. Methods: Specimens from primary and metastatic RCCs were collected from consenting patients and transplanted into mice. Tumor engraftment was monitored for up to 4 months. Tumor sections were examined histopathologically to assess concordance between patient tumor and model and were stained for RCC specific markers (Pax2, Pax8, CD31, and RCC). Stable growing PDX were treated with SoC (sunitinib, sorafenib, bevacizumab and everolimus). Global gene expression was analyzed in primary tumors and PDX models using microarrays (Affymetrix). In addition, sequence variations (Illumina NGS cancer panel) and MET and TERT gene copy numbers were analyzed in PDX models. Results: A panel of 34 RCC PDX models was established from more than 200 patient samples. Among these, 13 models were derived from different tumor regions of three advanced tumors. Original patient tumor and PDX showed a very similar and characteristic RCC histopathology. Inter- and intratumoral heterogeneity was preserved for several passages. We treated all PDX with standard targeted drugs and observed response rates comparable to results from clinical trials. One out of 8 regions obtained from one aggressive RCC clearly differentiated in regard to its response to bevacizumab and sunitinib. Genomic analysis revealed that this region has differences in global gene expression and sequence variation pattern. Besides a common MET mutation an additional variation in the HRAS gene was detected. In the whole PDX set we found 34 sequence variations in 20 genes, e.g. ATM, MET, TP53 and VHL and copy number variations in the MET locus. Conclusion: We have shown that PDX derived from distinct regions within one individual tumor exhibit differences in targeted treatment response as well as in genetic profile. These differences and their correlation to their molecular heterogeneity is subject of ongoing investigations to explain failure in treatment response. The available panel of renal cancer PDX provides an excellent source for translational research and for preclinical testing of new drug candidates. Citation Format: Michael Becker, Burkhard Jandrig, Susanne Flechsig, Reiner Zeisig, Daniel Schindele, Martin Schostak, Christian Schmees, Annika Wulf-Goldenberg, Jörg Hennenlotter, Elke Schaeffeler, Matthias Schwab, Arnulf Stenzl, Jens Bedke, Jens Hoffmann. Intratumoral heterogeneity of renal cancer is related to differences in drug response and development of therapy resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1843. doi:10.1158/1538-7445.AM2017-1843
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 1192-1192
    Abstract: Objective: Patients with advanced kidney cancer have a poor prognosis. The majority of patients develops treatment resistance towards Standard of Care (SoC) drugs within months. The successful development of novel personalized therapies depends on the availability of preclinical models with high clinical relevance. Our aim was to establish a panel of patient-derived renal cell carcinoma xenograft models for translational research. Methods: Specimens from primary and metastatic renal cell carcinoma tumors from consenting patients were collected after surgery and transplanted subcutaneously to immunodeficient mice within 24 hours. Tumor engraftment was followed for an initial period of up to 4 months. Successful engrafted patient-derived tumors were subsequently passaged to further mice. HE stained tumor sections were histopathologically examined to assess morphological concordance between patient tumor and PDX model. Renal cell carcinoma marker expression was determined by immunohistochemistry. Stably growing xenografts were tested for sensitivity towards SoC drugs, such as Avastin, Sunitinib, Sorafenib and Everolimus. Response to treatment was evaluated by comparing growth inhibition of treated in relation to untreated tumors. Primary tumors and the derived xenografts are currently under characterization for common oncogenic mutations using the Illumina TruSeq Amplicon Cancer Panel. Results: Nearly 200 tumor samples were transplanted since 2011. To date, 30% were successfully engrafted in immunodeficient mice and further patient-derived tumors are presently under establishment. Engraftment rates of samples from pT3 and pT4 tumors were higher (34%) than those from pT1 and pT2 tumors (12%). Two tumor samples which were pre-treated before surgery engrafted so far (11%). We show that specific tumor histology and renal cell carcinoma marker expression remained preserved over the passages. The drug sensitivity testings revealed a heterogeneous response to SoC treatments with Sunitinib (79% significant growth inhibition) and Everolimus (64%) as most effective treatments in the PDX models. Avastin showed a significant growth inhibition in 57% whereas Sorafenib was effective in 36% of the RCC models. We are furthermore presenting the individual gene mutation status of each RCC model. Conclusions: Our newly established patient-derived renal cell carcinoma panel provides a novel tool for the investigation of mechanisms of drug resistance and sensitivity in kidney cancer, biomarker research and the development of new therapeutic approaches. Citation Format: Susanne Flechsig, Annika Wulf-Goldenberg, Christian Schmees, Burkhard Jandrig, Jörg Hennenlotter, Jens Bedke, Martin Schostak, Andrew Crockford, Marco Gerlinger, James Larkin, Charles Swanton, Zoltan Szallasi, Iduna Fichtner, Jens Hoffmann. Establishment and characterization of a new patient-derived renal cell carcinoma xenograft panel. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1192. doi:10.1158/1538-7445.AM2014-1192
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    In: European Urology, Elsevier BV, Vol. 66, No. 1 ( 2014-07), p. 87-97
    Type of Medium: Online Resource
    ISSN: 0302-2838
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 1482253-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    In: The Lancet Oncology, Elsevier BV, Vol. 17, No. 11 ( 2016-11), p. 1599-1611
    Type of Medium: Online Resource
    ISSN: 1470-2045
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 2049730-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    In: BJU International, Wiley, Vol. 122, No. 1 ( 2018-07), p. 152-159
    Abstract: To evaluate the presence of circulating tumour cells ( CTC s) at different stages of prostate cancer using the AdnaTest ® ProstateCancerDetect kit (Qiagen). Moreover, we aimed to assess the expression of transcripts that are specific for cancer stem cells (AdnaTest StemCell) and epithelial–mesenchymal transition ( EMT ) in CTC s (AdnaTest EMT ), as well as additional genes that are known to promote prostate cancer progression. Patients and Methods In this prospective study, we included 81 patients who underwent treatment for prostate cancer between 07/2014 and 02/2015, including: Group A, 18 patients (22.2%) with low‐risk clinically localised prostate cancer; Group B, 25 patients (30.9%) with high‐risk clinically localised prostate cancer; Group C, 11 patients (13.6%) with metastatic castration‐sensitive prostate cancer ( mCSPC ); and Group D, 27 patients (33.3%) with metastatic castration‐resistant prostate cancer ( mCRPC ). AdnaTest ProstateCancer and AdnaTest StemCell/ EMT were performed in all cases. In addition, expression of the androgen receptor ( AR ), c‐met , c‐kit and thymidylate synthase ( TYMS ) in CTC s was assessed using specific polymerase chain reaction assays. Results A positive AdnaTest ProstateCancer was present in three (16.7%), two (8.0%), six (54.5%) and 19 (70.5%) patients in groups A, B, C and D, respectively ( P 〈 0.01, chi‐squared test). The AdnaTest EMT and AdnaTest StemCell were positive in zero (0.0%), zero (0.0%), one (9.1%), and two (7.4%); and in five (27.8%), four (16.0%), three (27.3%), and 11 (40.7%) patients in groups A, B, C and D, respectively, with no significant differences noted between groups. CTC s expressing TYMS (44.4% and 50.0% vs 13.9%) or AR (18.2% and 25.9% vs 0.0%) were seen more commonly in patients in groups C and D vs patients with non‐metastatic disease (all P 〈 0.05). Expression of c‐kit and c‐met were rare events, with only two patients positive for either marker. Conclusions AdnaTest ProstateCancerDetect exhibits positive results mainly in patients with metastatic disease. Expression of AR and TYMS are frequent events in CTC s of patients with advanced disease, whereas c‐met and c‐kit gene expression is seen in only a small proportion of patients. The implications of these results for the use of CTC analysis as a decision factor for personalised treatment strategies in advanced prostate cancer remain to be determined.
    Type of Medium: Online Resource
    ISSN: 1464-4096 , 1464-410X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2019983-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    In: European Urology, Elsevier BV, Vol. 80, No. 5 ( 2021-11), p. 592-600
    Type of Medium: Online Resource
    ISSN: 0302-2838
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1482253-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    In: Langenbeck's Archives of Surgery, Springer Science and Business Media LLC, Vol. 408, No. 1 ( 2023-07-11)
    Abstract: The evidence-based (S3) guideline “Adult Soft Tissue Sarcomas” (AWMF Registry No. 032/044OL) published by the German Guideline Program in Oncology (GGPO) covers all aspects of sarcoma treatment with 229 recommendations. Representatives of all medical specialties involved in sarcoma treatment contributed to the guideline. This paper compiles the most important recommendations for surgeons selected by delegates from the surgical societies. Methods A Delphi process was used. Delegates from the surgical societies involved in guideline process selected the 15 recommendations that were most important to them. Votes for similar recommendations were tallied. From the resulting ranked list, the 10 most frequently voted recommendations were selected and confirmed by consensus in the next step. Results The statement “Resection of primary soft tissue sarcomas of the extremities should be performed as a wide resection. The goal is an R0 resection” was selected as the most important term. The next highest ranked recommendations were the need for a preoperative biopsy, performing preoperative MRI imaging with contrast, and discussing all cases before surgery in a multidisciplinary sarcoma committee. Conclusion The evidence-based guideline “Adult Soft Tissue Sarcomas” is a milestone to improve the care of sarcoma patients in Germany. The selection of the top ten recommendations by surgeons for surgeons has the potential to improve the dissemination and acceptance of the guideline and thus improve the overall outcome of sarcoma patients.
    Type of Medium: Online Resource
    ISSN: 1435-2451
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1459390-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-6-21)
    Abstract: Renal cell carcinoma (RCC) is a kidney cancer with an onset mainly during the sixth or seventh decade of the patient’s life. Patients with advanced, metastasized RCC have a poor prognosis. The majority of patients develop treatment resistance towards Standard of Care (SoC) drugs within months. Tyrosine kinase inhibitors (TKIs) are the backbone of first-line therapy and have been partnered with an immune checkpoint inhibitor (ICI) recently. Despite the most recent progress, the development of novel therapies targeting acquired TKI resistance mechanisms in advanced and metastatic RCC remains a high medical need. Preclinical models with high translational relevance can significantly support the development of novel personalized therapies. It has been demonstrated that patient-derived xenograft (PDX) models represent an essential tool for the preclinical evaluation of novel targeted therapies and their combinations. In the present project, we established and molecularly characterized a comprehensive panel of subcutaneous RCC PDX models with well-conserved molecular and pathological features over multiple passages. Drug screening towards four SoC drugs targeting the vascular endothelial growth factor (VEGF) and PI3K/mTOR pathway revealed individual and heterogeneous response profiles in those models, very similar to observations in patients. As unique features, our cohort includes PDX models from metastatic disease and multi-tumor regions from one patient, allowing extended studies on intra-tumor heterogeneity (ITH). The PDX models are further used as basis for developing corresponding in vitro cell culture models enabling advanced high-throughput drug screening in a personalized context. PDX models were subjected to next-generation sequencing (NGS). Characterization of cancer-relevant features including driver mutations or cellular processes was performed using mutational and gene expression data in order to identify potential biomarker or treatment targets in RCC. In summary, we report a newly established and molecularly characterized panel of RCC PDX models with high relevance for translational preclinical research.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    In: New England Journal of Medicine, Massachusetts Medical Society, Vol. 385, No. 8 ( 2021-08-19), p. 683-694
    Type of Medium: Online Resource
    ISSN: 0028-4793 , 1533-4406
    RVK:
    Language: English
    Publisher: Massachusetts Medical Society
    Publication Date: 2021
    detail.hit.zdb_id: 1468837-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...