Establishment of Patient-Derived Tumor Xenograft Models of High-Risk Endometrial Cancer

2018 ◽  
Vol 28 (9) ◽  
pp. 1812-1820 ◽  
Author(s):  
Menghan Zhu ◽  
Nan Jia ◽  
Yanyan Nie ◽  
Jun Chen ◽  
Yahui Jiang ◽  
...  

ObjectiveHigh-risk endometrial cancers (ECs), including high-grade EC, serous carcinoma (SC), clear cell carcinoma, and carcinosarcoma, account for 50% of deaths due to ECs. Therapies for these cancers are limited, and patient-derived tumor xenograft (PDTX) models are useful tools for preclinical drug evaluation, biomarker identification, and personalized medicine strategies. Here, we used and compared 2 methods to establish PDTX models.MethodsFresh tumor tissues collected from 18 primary high-risk EC patients (10 high-grade ECs, 6 SCs, 1 clear cell carcinoma, and 1 carcinosarcoma) were engrafted subcutaneously and in the subrenal capsule in NOD/SCID for establishment and Balb/c-nu/nu mice for expansion. Histology and cytokeratin, estrogen receptor, progesterone receptor, and P53 expression were evaluated to assess the similarity of primary tumors and different generations of PDTX tumors. Whole-exome sequencing (WES) and RNA sequencing were used in 2 high-grade EC models to verify whether the genetic mutation profiles and gene expression were similar between primary and PDTX tumors.ResultsThe total tumor engraftment rate was 77.8% (14/18) regardless of the engraft method. The tumor engraftment rate was increased in subrenal capsule models compared with subcutaneous models (62.5% vs 50%, P = 0.464). The time to tumor formation varied significantly from 2 to 11 weeks. After subrenal capsular grafting, grafted tumors could be successfully transplanted to subcutaneous sites. We observed good similarity between primary tumors and corresponding different passages of xenografts.ConclusionsThe combination of 2 engrafting methods increases the tumor engraftment rate. The high tumor engraftment rate ensures the establishment of a high-risk EC biobank, which is a powerful resource for performing preclinical drug-sensitivity tests and identifying biomarkers for response or resistance.

2019 ◽  
Vol 20 (18) ◽  
pp. 4330 ◽  
Author(s):  
Saya Nagasawa ◽  
Kazuhiro Ikeda ◽  
Kuniko Horie-Inoue ◽  
Sho Sato ◽  
Atsuo Itakura ◽  
...  

Objective: Ovarian cancer has the highest mortality among gynecological cancers. High-grade serous carcinoma (HGSC) is the most common histotype of ovarian cancer regardless of ethnicity, whereas clear cell carcinoma (CCC) is more common in East Asians than Caucasians. The elucidation of predominant signaling pathways in these cancers is the first step towards understanding their molecular mechanisms and developing their clinical management. Methods: RNA sequencing was performed for 27 clinical ovarian specimens from Japanese women. Principal component analysis (PCA) was conducted on the sequence data mapped on RefSeq with normalized read counts, and functional annotation analysis was performed on genes with substantial weights in PCA. Knockdown experiments were conducted on the selected genes on the basis of PCA. Results: Functional annotation analysis of PCA-defined genes showed predominant pathways, such as cell growth regulators and blood coagulators in CCC and transcription regulators in HGSC. Knockdown experiments showed that the inhibition of the calcium-dependent protein copine 8 (CPNE8) and the transcription factor basic helix-loop-helix family member e 41 (BHLHE41) repressed the proliferation of CCC- and HGSC-derived cells, respectively. Conclusions: This study identified CPNE8 and BHLHE41 as characteristic genes for CCC and HGSC, respectively. The systemic identification of differentially expressed genes in CCC and HGSC will provide useful information to understand transcriptomic differences in these ovarian cancers and to further develop potential diagnostic and therapeutic options for advanced disease.


2018 ◽  
Vol 37 (6) ◽  
pp. 516-524 ◽  
Author(s):  
Yukiko Hazama ◽  
Takuya Moriya ◽  
Mika Sugihara ◽  
Rikiya Sano ◽  
Mitsuru Shiota ◽  
...  

Apmis ◽  
2017 ◽  
Vol 126 (1) ◽  
pp. 45-55 ◽  
Author(s):  
Bharat Rekhi ◽  
Kedar K. Deodhar ◽  
Santosh Menon ◽  
Amita Maheshwari ◽  
Jyoti Bajpai ◽  
...  

Brachytherapy ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Minsi Zhang ◽  
T. Jonathan Yang ◽  
Neil B. Desai ◽  
Deborah DeLair ◽  
Marisa A. Kollmeier ◽  
...  

2009 ◽  
Vol 19 (9) ◽  
pp. 1545-1549 ◽  
Author(s):  
Yi Miao ◽  
Bin Cai ◽  
Ling Liu ◽  
Yixia Yang ◽  
Xiaoping Wan

Objective:To investigate the genes that were differentially expressed between clear cell carcinoma (CCC) and serous carcinoma (SAC) of the ovary with complementary DNA microarray.Methods:Complementary DNA microarray was carried out in 8 CCCs and 8 SACs of the ovary. Differentially expressed genes were identified and verified by real-time polymerase chain reaction. The expression of the protein was also verified with immunohistochemistry and Western blot in cells and tissues of ovarian CCC.Results:Comparison of the gene expression profiling identified 21 genes with more than 2-fold different expression between CCC and SAC of the ovary. The up-regulated and down-regulated genes were 9 and 12, respectively. The verification of Annexin IV in the cell line and tissues was in accordance with the result of the microarray.Conclusions:The complementary DNA microarray technique is a feasible way to explore the difference of the gene expression profiling between the 2 types of ovarian carcinoma. The overexpression of Annexin IV may be an ovarian CCC-specific molecular marker.Abbreviations:CCC- clear cell carcinoma, SAC- serous carcinoma, PCR- polymerase chain reaction, RT-PCR- reverse transcriptase PCR, ABCF2- ATP-binding cassette, sub-family F- member 2, HNF-1b- hepatocyte nuclear factor 1β


2021 ◽  
Vol 11 ◽  
Author(s):  
Zhuolun Sun ◽  
Changying Jing ◽  
Xudong Guo ◽  
Mingxiao Zhang ◽  
Feng Kong ◽  
...  

Kidney renal clear cell carcinoma (KIRC) has long been identified as a highly immune-infiltrated tumor. However, the underlying role of pyroptosis in the tumor microenvironment (TME) of KIRC remains poorly described. Herein, we systematically analyzed the prognostic value, role in the TME, response to ICIs, and drug sensitivity of pyroptosis-related genes (PRGs) in KIRC patients based on The Cancer Genome Atlas (TCGA) database. Cluster 2, by consensus clustering for 24 PRGs, presented a poor prognosis, likely because malignancy-related hallmarks were remarkably enriched. Additionally, we constructed a prognostic prediction model that discriminated well between high- and low-risk patients and was further confirmed in external E-MTAB-1980 cohort and HSP cohort. By further analyzing the TME based on the risk model, higher immune cell infiltration and lower tumor purity were found in the high-risk group, which presented a poor prognosis. Patients with high risk scores also exhibited higher ICI expression, indicating that these patients may be more prone to profit from ICIs. The sensitivity to anticancer drugs that correlated with model-related genes was also identified. Collectively, the pyroptosis-related prognosis risk model may improve prognostic information and provide directions for current research investigations on immunotherapeutic strategies for KIRC patients.


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