Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
In Vivo
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
In Vivo

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues 2025
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Research ArticleExperimental Studies
Open Access

Development of a New Focal Mouse Model of Bone Metastasis in Renal Cell Carcinoma

KEITA OYA, HIROYUKI TSUCHIE, HIROYUKI NAGASAWA, MICHIO HONGO, YUJI KASUKAWA, DAISUKE KUDO, RYO SHOJI, FUMIHITO KASAMA, TAKASHI KAWARAGI, MANABU WATANABE, KENTA TOMINAGA and NAOHISA MIYAKOSHI
In Vivo May 2024, 38 (3) 1074-1078; DOI: https://doi.org/10.21873/invivo.13541
KEITA OYA
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: koya@med.akita-u.ac.jp
HIROYUKI TSUCHIE
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
HIROYUKI NAGASAWA
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MICHIO HONGO
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
YUJI KASUKAWA
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DAISUKE KUDO
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
RYO SHOJI
2Department of Orthopedic Surgery, Akita Kousei Medical Center, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
FUMIHITO KASAMA
3Department of Orthopedic Surgery, Yuri Kumiai General Hospital, Akita, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
TAKASHI KAWARAGI
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MANABU WATANABE
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
KENTA TOMINAGA
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
NAOHISA MIYAKOSHI
1Department of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: Developing animal models of bone metastasis in renal cell carcinoma (RCC) is challenging as immunodeficient mice are required. The aim of this study was to develop a simple immune model of RCC bone metastasis. Materials and Methods: RENCA tumor cells were injected into the right femurs of BALB/c mice. Sixty mice were grouped into each twenty-mouse group according to the tumor cell concentration, and the presence or absence and extent of bone metastasis in the total length of the femur were compared using hematoxylin and eosin staining of the excised tissues. Results: Bone metastasis was significantly higher in the high concentration group than in the other groups (p<0.05), with 10 mice developing bone metastasis at two weeks and nine mice developing bone metastasis at three weeks. The extent of bone metastasis was significantly greater in the high concentration group than in the other groups (p<0.05). Multiple logistic regression analysis was performed to examine the factors influencing bone metastasis, and only the high concentration was a significant factor (p<0.05). Conclusion: We developed a normal immunity mouse model of local bone metastasis from RCC. This model could prove valuable for research into the treatment of bone metastases in RCC.

Key Words:
  • Bone metastasis
  • renal cell carcinoma
  • RENCA tumor cells
  • multiple logistic regression analysis
  • oncology research

Renal cell carcinoma (RCC) comprises approximately 3% of all human cancers. and although there are regional differences, with a higher frequency in North America and Europe than in South America, Asia, and Africa, it is increasing worldwide due to smoking and lifestyle-related factors (1). By 2020, more than 400,000 new patients were diagnosed and there were approximately 180,000 deaths (2). Patients with RCC are prone to bone metastasis, which is experienced in a reported 29.5% of patients (3), and 85% of those patients having previously experienced skeletal-related events (4). In addition, 36.9% of patients with bone metastasis required some form of surgical treatment (5); however, surgery for bone metastasis carries a high risk of bleeding due to abundant blood flow (6). The number of patients with bone metastasis is expected to increase owing to the development of new therapies that have extended survival times (4). Consequently, there is also an anticipated increase in the number of patients who will require surgical interventions.

Research into the mechanisms and treatment strategies for bone metastasis in RCC warrants increased focus and the use of animal models for comprehensive investigation. Previous studies have reported RCC bone metastasis models established through intracardiac and intraosseous injections (7, 8); however, these methods can exhibit a low probability of bone metastasis, may lead to metastasis in other organs, and require the use of immunodeficient mice (7-9). Breeding immunodeficient mice presents challenges due to infection risks, thereby complicating the development of reliable bone metastasis models. In the present study, we aimed to develop a reproducible model of RCC bone metastasis using mice with normal immunity.

Materials and Methods

Cell culture. RENCA is a spontaneous RCC cell line originated from BALB/c mice (10). RENCA cells (CRL-2947; ATCC, Manassas, VA, USA) were cultured in RPMI-1640 (30-2001; ATCC), 10% fetal bovine serum (Mediatech, Manassas, VA, USA), 1% non-essential amino acid solution (Fuji Filum Wako Pure Chemical Corporation, Osaka, Japan), 1% sodium pyruvate solution (Fuji Filum Wako Pure Chemical Corporation), 1% L-glutamine solution (Fuji Filum Wako Pure Chemical Corporation), and 0.5% penicillin streptomycin (Life Technologies Corporation, Grand Island, NY, USA). The cell cultures were maintained in a humidified environment of 5% CO2 and 37°C. The cells were diluted in phosphate-buffered saline (PBS) so that the final number of cells was either 1.0×104/10 μl, 1.0×105/10 μl, or 1.0×106/10 μl. The survival rate of the tumor cells was evaluated using the trypan blue dye exclusion method with a hemocytometer (Kayagaki, Tokyo, Japan) under an optical microscope (Olympus BH-210, Tokyo, Japan; 400×).

Animal experiments. Six-week-old male BALB/c mice (Charles River Laboratory, Inc., Kanagawa, Japan) were housed in a specific pathogen-free environment. An anesthetic mixture of 0.3 mg/kg medetomidine, 4.0 mg/kg midazolam, and 5.0 mg/kg butorphanol was prepared and administered subcutaneously to achieve good anesthetic depth. An incision in the midline of the knee exposes the white patellar tendon. Another incision was made at the medial border of the patellar tendon, and the patella was laterally dislocated to expose the femoral condyle. A bony hole was created in the femur with a 26 G needle. To assess appropriate tumor cell concentrations, different concentrations of RENCA cells were suspended in PBS and injected by inserting half of the total length of a Hamilton syringe into the bony hole to ensure intramedullary injection beyond the epiphyseal line (Figure 1). The bony hole was closed using bone wax, the patella was repositioned, and the incision was sutured closed. The mice were divided into three groups: i) the low concentration group was injected with 1.0×104/10 μl tumor cells (n=20), ii) the medium concentration group was injected with 1.0×105/10 μl tumor cells (n=20), and iii) the high concentration group was injected with 1.0×106/10 μl tumor cells (n=20). The mice were sacrificed at 2 and 3 weeks post-tumor cell administration. Ten mice from each group were euthanized at each time point (Figure 2) before the right femurs were removed, fixed in neutral formalin, embedded in paraffin, and midsagittal 5 μm sections were obtained from each mouse. Histological evaluation was performed using hematoxylin and eosin (H&E) staining to assess the presence of bone metastasis and measure the percentage of the areas with tumor cells in the total length of the femur. An all-in-one BZ-X800 fluorescence microscope (KEYENCE, Osaka, Japan) was used for this evaluation.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Method of intrafemoral injection of tumor cells into mouse knees to develop an RCC bone metastasis model. (A) An incision in the midline of the knee exposes the white patellar tendon (arrowhead). (B) Another incision is made at the medial border of the patellar tendon and the patella is laterally dislocated to expose the femoral condyle (arrow). (C) A 26 G needle is used to create a bone socket and (D) tumor cells are injected into the femur using a Hamilton syringe.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Experimental groups and time schedule used to develop an RCC bone metastasis mouse model. The mice were divided into i) low (1.0×104/10 μl), ii) medium (1.0×105/10 μl), and iii) high (1.0×106/10 μl) tumor cell concentration groups (n=20 mice in each group). The tumor cell suspensions were injected into the right femur and then ten mice from each group were euthanized at 2 and 3 weeks after tumor cell administration.

The Animal Experiment Committee of the Akita University School of Medicine approved the protocol for animal experiments in advance, and all subsequent animal experiments were conducted in accordance with the “Animal Experiment Guidelines” of Akita University.

Statistical analysis. Differences in the occurrence of bone metastasis among the three groups were evaluated using Fisher’s exact test and Bonferroni's correction. The extent of bone metastasis in the total length of the femur was expressed as a mean value and evaluated using Tukey’s multiple comparison test. Factors affecting the occurrence of bone metastasis were analyzed using multiple logistic regression analysis. The value of the variance inflation factors for each factor was less than 2, confirming the absence of multicollinearity. All statistical analyses were performed using Easy R software (26). Statistical significance was established at p<0.05.

Results

At 2 weeks, three of the ten mice (30%) in the low concentration group, one of the ten mice (10%) in the medium concentration group, and ten of the ten mice (100%) in the high concentration group had bone metastasis, with the high concentration group having a significantly higher occurrence of bone metastasis than the other groups (p<0.05). At 3 weeks, five of the ten (50%), seven of the ten (70%), and nine of the ten (90%) mice in the low, medium, and high concentration groups, respectively, showed bone metastasis; however, no significant difference in bone metastasis occurrence was observed among the three groups (Table I). At 2 weeks, the extent of bone metastasis in the total length of the femur was 31.1%, 10.0%, and 80.2% in the low, medium, and high concentration groups, respectively, with the high concentration group exhibiting a significantly greater extent of bone metastasis than the other groups (p<0.05). At 3 weeks, the extent of bone metastasis in the total length of the femur was 24.1%, 51.6%, and 89.3% in the low, medium, and high concentration groups, respectively, with the high concentration group exhibiting a significantly greater extent of bone metastasis than the other groups (p<0.05; Table I). Multiple logistic regression analysis of the factors affecting the occurrence of bone metastasis showed that only high concentrations of tumor cell injection was a significant factor (p=0.0022; Table II).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Summary of the three groups.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Summary of multiple logistic regression analysis of factors affecting the occurrence of bone metastasis.

Discussion

Novel treatments for RCC have been developed, with recent case reports having demonstrated their therapeutic efficacy (12, 13). However, research on the treatment of bone metastases in RCC remains insufficient (12). As spontaneous bone metastasis in mice is rare, tumor cells must be injected in vivo to induce bone metastasis. Mouse models of bone metastasis using intracardiac administration of tumor cells can imitate hematogenous metastasis (7, 14). Studies have reported that RCC bone metastasis can be induced by intracardiac injection of 786-O cells into SCID mice (15, 16), as well as by intracardiac injection of ACHN cells into nude mice (17). However, these procedures are challenging as they fail to induce bone metastasis at a specific site, exhibit limited reproducibility, and may result in hematogenous metastasis in other organs (7, 9, 14). Conversely, direct administration of tumor cells or fragments into the femur or tibia is a simple technique that can induce bone metastasis at specific sites (7, 8, 15, 18). In RCC, 786-O cells injected into the femur of SCID mice (15) and the injection of human RCC tissue fragments into the tibia of RAG2/γc double knockout mice (18) have been reported to induce bone metastasis. However, the use of immunodeficient mice and human tumor cells has drawbacks, including the fact that they do not imitate physiological human tumor development and do not enable therapeutic studies of related immune responses (9).

In our previous study, we injected the E0771 breast cancer cell line into the femur of C57BL/6 mice with normal immunity to create a local bone metastasis model of breast cancer (19). In contrast, in an orthotopic model of RCC, RENCA cells were injected directly into the kidneys of BALB/c mice (20, 21). Using the local bone metastasis model of breast cancer (19) as a guide, we demonstrated a new local bone metastasis model of RCC with normal immunity by injecting RENCA cells into the femurs of BALB/c mice. The occurrence of bone metastases in the low and medium concentration groups was not high at either the 2-week or 3-week time points, whereas the high concentration group had an occurrence rate of almost 100%, regardless of the time period. The extent of bone metastasis was greater in the high concentration group than in the other groups, regardless of the time period. The sole factor affecting the occurrence of bone metastasis was high concentration. Given the fact that bone metastasis should be treated immediately, the results of this study indicate that focal bone metastasis occurs after 2 weeks of intrafemoral injections of RENCA at a concentration of 1.0×106/10 μl.

Our model demonstrates three primary strengths. First, it is possible to establish uniform bone metastasis by administering the correct amount of tumor cells at a defined injection site, thereby reducing individual variability in determining treatment efficacy (19). Second, the outward dislocation of the patella exposes the femoral condyle, which serves as a guide for the injection, rendering the tumor administration technique simple and reproducible. Third, the immune system of BALB/c mice is normal, excluding the rearing requirements of immunodeficient mice. This model also has the potential to be used to study novel immune-related therapeutics, which is not achievable in previous RCC bone metastasis models that use immunodeficient mouse strains.

A limitation of our study is that the mechanism of bone metastasis occurrence did not follow a physiological process. The process of bone metastasis cannot be fully represented by a single model, and different models must be used for each stage of bone metastasis (7). Although our bone metastasis model is not suitable for studying the early stages of bone metastasis, it is valuable for studying the later stages of bone metastasis.

Conclusion

Using BALB/c mice and RENCA cells, we successfully developed a simple and reproducible local model of RCC bone metastasis. This model may be effective for studying the treatment of bone metastasis in RCC. The application of this model could contribute to the development of bone metastasis models for various carcinomas and facilitate research into their treatment.

Acknowledgements

None.

Footnotes

  • Authors’ Contributions

    All Authors were involved in the planning and revision of this manuscript. OK, TH, and NH raised the experimental animals and administered drugs. OK analyzed the raw data and wrote the manuscript. HM, KY, KD, SR, KF, KT, WM, TK, and MN reviewed the manuscript.

  • Conflicts of Interest

    The Authors declare no conflicts of interest directly relevant to the content of this article.

  • Funding

    This research received no funding.

  • Received January 15, 2024.
  • Revision received February 21, 2024.
  • Accepted February 22, 2024.
  • Copyright © 2024, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Capitanio U,
    2. Bensalah K,
    3. Bex A,
    4. Boorjian SA,
    5. Bray F,
    6. Coleman J,
    7. Gore JL,
    8. Sun M,
    9. Wood C,
    10. Russo P
    : Epidemiology of renal cell carcinoma. Eur Urol 75(1): 74-84, 2019. DOI: 10.1016/j.eururo.2018.08.036
    OpenUrlCrossRefPubMed
  2. ↵
    1. Sung H,
    2. Ferlay J,
    3. Siegel RL,
    4. Laversanne M,
    5. Soerjomataram I,
    6. Jemal A,
    7. Bray F
    : Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3): 209-249, 2021. DOI: 10.3322/caac.21660
    OpenUrlCrossRefPubMed
  3. ↵
    1. Bianchi M,
    2. Sun M,
    3. Jeldres C,
    4. Shariat SF,
    5. Trinh QD,
    6. Briganti A,
    7. Tian Z,
    8. Schmitges J,
    9. Graefen M,
    10. Perrotte P,
    11. Menon M,
    12. Montorsi F,
    13. Karakiewicz PI
    : Distribution of metastatic sites in renal cell carcinoma: a population-based analysis. Ann Oncol 23(4): 973-980, 2012. DOI: 10.1093/annonc/mdr362
    OpenUrlCrossRefPubMed
  4. ↵
    1. Woodward E,
    2. Jagdev S,
    3. McParland L,
    4. Clark K,
    5. Gregory W,
    6. Newsham A,
    7. Rogerson S,
    8. Hayward K,
    9. Selby P,
    10. Brown J
    : Skeletal complications and survival in renal cancer patients with bone metastases. Bone 48(1): 160-166, 2011. DOI: 10.1016/j.bone.2010.09.008
    OpenUrlCrossRefPubMed
  5. ↵
    1. Wang K,
    2. Wu Z,
    3. Wang G,
    4. Shi H,
    5. Xie J,
    6. Yin L,
    7. Xu T,
    8. Mao W,
    9. Peng B
    : Survival nomogram for patients with bone metastatic renal cell carcinoma: A population-based study. Int Braz J Urol 47(2): 333-349, 2021. DOI: 10.1590/S1677-5538.IBJU.2020.0195
    OpenUrlCrossRef
  6. ↵
    1. Robial N,
    2. Charles YP,
    3. Bogorin I,
    4. Godet J,
    5. Beaujeux R,
    6. Boujan F,
    7. Steib JP
    : Is preoperative embolization a prerequisite for spinal metastases surgical management? Orthop Traumatol Surg Res 98(5): 536-542, 2012. DOI: 10.1016/j.otsr.2012.03.008
    OpenUrlCrossRefPubMed
  7. ↵
    1. Simmons JK,
    2. Hildreth BE 3rd.,
    3. Supsavhad W,
    4. Elshafae SM,
    5. Hassan BB,
    6. Dirksen WP,
    7. Toribio RE,
    8. Rosol TJ
    : Animal models of bone metastasis. Vet Pathol 52(5): 827-841, 2015. DOI: 10.1177/0300985815586223
    OpenUrlCrossRefPubMed
  8. ↵
    1. Wetterwald A,
    2. van der Pluijm G,
    3. Que I,
    4. Sijmons B,
    5. Buijs J,
    6. Karperien M,
    7. Löwik CW,
    8. Gautschi E,
    9. Thalmann GN,
    10. Cecchini MG
    : Optical imaging of cancer metastasis to bone marrow: a mouse model of minimal residual disease. Am J Pathol 160(3): 1143-1153, 2002. DOI: 10.1016/S0002-9440(10)64934-6
    OpenUrlCrossRefPubMed
  9. ↵
    1. Farhoodi HP,
    2. Segaliny AI,
    3. Wagoner ZW,
    4. Cheng JL,
    5. Liu L,
    6. Zhao W
    : Optimization of a syngeneic murine model of bone metastasis. J Bone Oncol 23: 100298, 2020. DOI: 10.1016/j.jbo.2020.100298
    OpenUrlCrossRef
  10. ↵
    1. Tanji S
    : Effect of biological response modifiers on a spontaneous murine renal cell carcinoma. Nihon Hinyokika Gakkai Zasshi 82(5): 716-725, 1991. DOI: 10.5980/jpnjurol1989.82.716
    OpenUrlCrossRef
    1. Kanda Y
    : Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant 48(3): 452-458, 2013. DOI: 10.1038/bmt.2012.244
    OpenUrlCrossRefPubMed
  11. ↵
    1. Asano Y,
    2. Yamamoto N,
    3. Hayashi K,
    4. Takeuchi A,
    5. Miwa S,
    6. Igarashi K,
    7. Higuchi T,
    8. Taniguchi Y,
    9. Morinaga S,
    10. Horimoto T,
    11. Nakai M,
    12. Kadono Y,
    13. Nojima T,
    14. Tsuchiya H
    : Case report: Complete remission of bone metastasis from renal cell carcinoma in histopathological examination after treatment with immune checkpoint inhibitors. Front Immunol 13: 980456, 2022. DOI: 10.3389/fimmu.2022.980456
    OpenUrlCrossRef
  12. ↵
    1. Vuyyala S,
    2. Gandhi S,
    3. Kuechle JB,
    4. George S
    : Complete remission of bone metastases in renal cell carcinoma with nivolumab. Cureus 11(8): e5531, 2019. DOI: 10.7759/cureus.5531
    OpenUrlCrossRef
  13. ↵
    1. Wright LE,
    2. Ottewell PD,
    3. Rucci N,
    4. Peyruchaud O,
    5. Pagnotti GM,
    6. Chiechi A,
    7. Buijs JT,
    8. Sterling JA
    : Murine models of breast cancer bone metastasis. Bonekey Rep 5: 804, 2016. DOI: 10.1038/bonekey.2016.31
    OpenUrlCrossRef
  14. ↵
    1. Pan T,
    2. Lin SC,
    3. Yu KJ,
    4. Yu G,
    5. Song JH,
    6. Lewis VO,
    7. Bird JE,
    8. Moon B,
    9. Lin PP,
    10. Tannir NM,
    11. Jonasch E,
    12. Wood CG,
    13. Gallick GE,
    14. Yu-Lee LY,
    15. Lin SH,
    16. Satcher RL
    : BIGH3 promotes osteolytic lesions in renal cell carcinoma bone metastasis by inhibiting osteoblast differentiation. Neoplasia 20(1): 32-43, 2018. DOI: 10.1016/j.neo.2017.11.002
    OpenUrlCrossRef
  15. ↵
    1. Satcher RL,
    2. Pan T,
    3. Cheng CJ,
    4. Lee YC,
    5. Lin SC,
    6. Yu G,
    7. Li X,
    8. Hoang AG,
    9. Tamboli P,
    10. Jonasch E,
    11. Gallick GE,
    12. Lin SH
    : Cadherin-11 in renal cell carcinoma bone metastasis. PLoS One 9(2): e89880, 2014. DOI: 10.1371/journal.pone.0089880
    OpenUrlCrossRef
  16. ↵
    1. Maita S,
    2. Yuasa T,
    3. Tsuchiya N,
    4. Mitobe Y,
    5. Narita S,
    6. Horikawa Y,
    7. Hatake K,
    8. Fukui I,
    9. Kimura S,
    10. Maekawa T,
    11. Habuchi T
    : Antitumor effect of sunitinib against skeletal metastatic renal cell carcinoma through inhibition of osteoclast function. Int J Cancer 130(3): 677-684, 2012. DOI: 10.1002/ijc.26034
    OpenUrlCrossRefPubMed
  17. ↵
    1. Valta MP,
    2. Zhao H,
    3. Ingels A,
    4. Thong AE,
    5. Nolley R,
    6. Saar M,
    7. Peehl DM
    : Development of a realistic in vivo bone metastasis model of human renal cell carcinoma. Clin Exp Metastasis 31(5): 573-584, 2014. DOI: 10.1007/s10585-014-9651-8
    OpenUrlCrossRefPubMed
  18. ↵
    1. Shoji R,
    2. Tsuchie H,
    3. Nagasawa H,
    4. Hongo M,
    5. Kasukawa Y,
    6. Kudo D,
    7. Miyakoshi N
    : Development of new mouse breast cancer model of local bone metastasis and verification using bisphosphonates. In Vivo 36(2): 667-671, 2022. DOI: 10.21873/invivo.12751
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Murphy KA,
    2. James BR,
    3. Wilber A,
    4. Griffith TS
    : A syngeneic mouse model of metastatic renal cell carcinoma for quantitative and longitudinal assessment of preclinical therapies. J Vis Exp (122): 55080, 2017. DOI: 10.3791/55080
    OpenUrlCrossRef
  20. ↵
    1. Sobczuk P,
    2. Brodziak A,
    3. Khan MI,
    4. Chhabra S,
    5. Fiedorowicz M,
    6. Wełniak-Kamińska M,
    7. Synoradzki K,
    8. Bartnik E,
    9. Cudnoch-Jędrzejewska A,
    10. Czarnecka AM
    : Choosing the right animal model for renal cancer research. Transl Oncol 13(3): 100745, 2020. DOI: 10.1016/j.tranon.2020.100745
    OpenUrlCrossRef
PreviousNext
Back to top

In this issue

In Vivo: 38 (3)
In Vivo
Vol. 38, Issue 3
May-June 2024
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on In Vivo.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Development of a New Focal Mouse Model of Bone Metastasis in Renal Cell Carcinoma
(Your Name) has sent you a message from In Vivo
(Your Name) thought you would like to see the In Vivo web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
3 + 9 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Development of a New Focal Mouse Model of Bone Metastasis in Renal Cell Carcinoma
KEITA OYA, HIROYUKI TSUCHIE, HIROYUKI NAGASAWA, MICHIO HONGO, YUJI KASUKAWA, DAISUKE KUDO, RYO SHOJI, FUMIHITO KASAMA, TAKASHI KAWARAGI, MANABU WATANABE, KENTA TOMINAGA, NAOHISA MIYAKOSHI
In Vivo May 2024, 38 (3) 1074-1078; DOI: 10.21873/invivo.13541

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Development of a New Focal Mouse Model of Bone Metastasis in Renal Cell Carcinoma
KEITA OYA, HIROYUKI TSUCHIE, HIROYUKI NAGASAWA, MICHIO HONGO, YUJI KASUKAWA, DAISUKE KUDO, RYO SHOJI, FUMIHITO KASAMA, TAKASHI KAWARAGI, MANABU WATANABE, KENTA TOMINAGA, NAOHISA MIYAKOSHI
In Vivo May 2024, 38 (3) 1074-1078; DOI: 10.21873/invivo.13541
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Effect of Acridine Orange and Zoledronic Acid on Bone Metastasis in Renal Cell Carcinoma
  • Google Scholar

More in this TOC Section

  • In Vivo Antitumor Activity of Allicin in a Pediatric Neuroblastoma Patient-derived Xenograft (PDX) Mouse Model
  • Gefitinib Facilitates Bone Fracture Healing via Inhibition of the EGFR Pathway and Counteracting SOX9-driven Bone Metabolic Reprogramming
  • Over-expression of Truncated IK Ameliorates Dinitrochlorobenzene-Induced Allergic Contact Dermatitis Lesions in BALB/c Mice
Show more Experimental Studies

Similar Articles

Keywords

  • bone metastasis
  • renal cell carcinoma
  • RENCA tumor cells
  • multiple logistic regression analysis
  • oncology research
In Vivo

© 2025 In Vivo

Powered by HighWire