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  1. Article: Necessity of guidelines for publication of patient-derived cancer models.

    Kondo, Tadashi

    Annals of translational medicine

    2020  Volume 8, Issue 5, Page(s) 158

    Language English
    Publishing date 2020-03-18
    Publishing country China
    Document type Editorial ; Comment
    ZDB-ID 2893931-1
    ISSN 2305-5847 ; 2305-5839
    ISSN (online) 2305-5847
    ISSN 2305-5839
    DOI 10.21037/atm.2019.12.144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Current status and future outlook for patient-derived cancer models from a rare cancer research perspective.

    Kondo, Tadashi

    Cancer science

    2021  Volume 112, Issue 3, Page(s) 953–961

    Abstract: Rare cancers are a group of approximately 200 malignancies with extremely low incidences and with a wide variety of genotypes and phenotypes. Collectively, they are more common than any single malignancy. However, given the small numbers of individuals ... ...

    Abstract Rare cancers are a group of approximately 200 malignancies with extremely low incidences and with a wide variety of genotypes and phenotypes. Collectively, they are more common than any single malignancy. However, given the small numbers of individuals diagnosed with rare cancers, it is difficult to design clinical trials with sufficient patient numbers. Therefore, few effective anticancer drugs have been developed, and evidence-based medicine is not always feasible for rare cancers. Consequently, their clinical outcomes are generally poorer. Cancer research requires adequate models that faithfully recapitulate molecular features and reproduce treatment responses of the original tumors. Such models allow us to focus on more efficacious drugs in the clinical studies. For rare cancers, patient-derived cancer models are particularly important because the enrollment of sufficient patients is rarely attainable within a reasonable period of time. However, extremely few models are available for rare cancers. For example, cell lines and xenografts are available for only a limited number of histological subtypes of sarcomas; therefore, most sarcoma research is performed without such models, and a lack of adequate cancer models causes a lag in therapeutic development. The establishment of novel rare cancer models will dramatically facilitate rare cancer research and treatment development in the near future. This review focuses on the status of patient-derived rare cancer models and discusses their pivotal problems and possibilities, using sarcomas as a representative rare cancer type. Multi-institutional collaboration will help address the scarcity of patient-derived rare cancer models.
    MeSH term(s) Animals ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Cell Line, Tumor ; Humans ; Mice ; Neoplasms/drug therapy ; Neoplasms/pathology ; Rare Diseases/drug therapy ; Rare Diseases/pathology ; Xenograft Model Antitumor Assays/methods
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2021-02-06
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2115647-5
    ISSN 1349-7006 ; 1347-9032
    ISSN (online) 1349-7006
    ISSN 1347-9032
    DOI 10.1111/cas.14669
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Current Status and Perspectives of Patient-Derived Models for Ewing's Sarcoma.

    Kondo, Tadashi

    Cancers

    2020  Volume 12, Issue 9

    Abstract: Patient-derived cancer models, including cell lines, organoids, and xenografts, are indispensable tools in cancer research. These models, which recapitulate molecular features of original tumors, allow studies on the biological significance of cancer- ... ...

    Abstract Patient-derived cancer models, including cell lines, organoids, and xenografts, are indispensable tools in cancer research. These models, which recapitulate molecular features of original tumors, allow studies on the biological significance of cancer-associated genes, antitumor effects of novel agents, and molecular mechanisms underlying clinical behaviors of tumors. Moreover, the predictive utility of patient-derived cancer models is expected to facilitate drug development and precision medicine. Ewing's sarcoma is a highly aggressive mesenchymal tumor with a high metastasis rate. Previous studies demonstrated the utility of cell lines and xenografts in Ewing's sarcoma research and clinical studies. However, the number of Ewing's sarcoma models available from public biobanks is limited; this creates an obstacle for research on Ewing's sarcoma. Novel Ewing's sarcoma models are needed to establish their utility, further our understanding of the molecular mechanisms, and help develop effective therapeutic strategies. In this review, the current status of patient-derived cancer models is overviewed, and future prospects of model development are discussed from the perspective of Ewing's sarcoma research. It should be of interest to researchers and clinicians who work on patient-derived cancer models.
    Language English
    Publishing date 2020-09-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers12092520
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Current status and perspectives of patient-derived rare cancer models.

    Kondo, Tadashi

    Human cell

    2020  Volume 33, Issue 4, Page(s) 919–929

    Abstract: Malignancies with extremely low incidences, such as less than 6 per 100,000 people annually, are defined as rare cancers. Approximately 200 malignancies are classified in this category, therefore the total number of patients with rare cancers is greater ... ...

    Abstract Malignancies with extremely low incidences, such as less than 6 per 100,000 people annually, are defined as rare cancers. Approximately 200 malignancies are classified in this category, therefore the total number of patients with rare cancers is greater than that of patients with any single common cancer. However, because of the small numbers of patients, novel therapies have not been developed for individual rare cancers, and clinical outcomes remain dismal. Patient-derived cancer models are indispensable for both basic and pre-clinical studies, and their roles will increase in the era of post-genome medicine. Although patient-derived cancer models have long been used in oncology, they are not well developed for rare cancers. In the context of sarcoma, the presently available cell lines and xenograft models are limited and do not satisfy the needs of research. Indeed, the lack of effective therapies for rare cancers might be attributable to the paucity of adequate patient-derived cancer models for pre-clinical studies. To facilitate the establishment and availability of patient-derived rare cancer models, we need to create effective methods for model establishment, share the valuable clinical samples and established models, and implement guidelines to record the clinical data of donor patients and original tumors. Patient-derived rare cancer models are a public resource, and they should not be used exclusively but should rather be shared among the research community.
    MeSH term(s) Animals ; Cell Line, Tumor ; Humans ; Organoids ; Rare Diseases ; Sarcoma ; Xenograft Model Antitumor Assays/methods
    Language English
    Publishing date 2020-06-14
    Publishing country Japan
    Document type Journal Article ; Review
    ZDB-ID 1149134-6
    ISSN 1749-0774 ; 0914-7470
    ISSN (online) 1749-0774
    ISSN 0914-7470
    DOI 10.1007/s13577-020-00391-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Current Status and Perspectives of Patient-Derived Models for Ewing’s Sarcoma

    Tadashi Kondo

    Cancers, Vol 12, Iss 9, p

    2020  Volume 2520

    Abstract: Patient-derived cancer models, including cell lines, organoids, and xenografts, are indispensable tools in cancer research. These models, which recapitulate molecular features of original tumors, allow studies on the biological significance of cancer- ... ...

    Abstract Patient-derived cancer models, including cell lines, organoids, and xenografts, are indispensable tools in cancer research. These models, which recapitulate molecular features of original tumors, allow studies on the biological significance of cancer-associated genes, antitumor effects of novel agents, and molecular mechanisms underlying clinical behaviors of tumors. Moreover, the predictive utility of patient-derived cancer models is expected to facilitate drug development and precision medicine. Ewing’s sarcoma is a highly aggressive mesenchymal tumor with a high metastasis rate. Previous studies demonstrated the utility of cell lines and xenografts in Ewing’s sarcoma research and clinical studies. However, the number of Ewing’s sarcoma models available from public biobanks is limited; this creates an obstacle for research on Ewing’s sarcoma. Novel Ewing’s sarcoma models are needed to establish their utility, further our understanding of the molecular mechanisms, and help develop effective therapeutic strategies. In this review, the current status of patient-derived cancer models is overviewed, and future prospects of model development are discussed from the perspective of Ewing’s sarcoma research. It should be of interest to researchers and clinicians who work on patient-derived cancer models.
    Keywords Ewing’s sarcoma ; patient-derived cancer model ; cell line ; organoid ; xenograft ; precision medicine ; Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282
    Subject code 616
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Harnessing the potential of reverse-phase protein array technology: Advancing precision oncology strategies.

    Masuda, Mari / Nakagawa, Riko / Kondo, Tadashi

    Cancer science

    2024  

    Abstract: The last few decades have seen remarkable strides in the field of cancer therapy. Precision oncology coupled with comprehensive genomic profiling has become routine clinical practice for solid tumors, the advent of immune checkpoint inhibitors has ... ...

    Abstract The last few decades have seen remarkable strides in the field of cancer therapy. Precision oncology coupled with comprehensive genomic profiling has become routine clinical practice for solid tumors, the advent of immune checkpoint inhibitors has transformed the landscape of oncology treatment, and the number of cancer drug approvals has continued to increase. Nevertheless, the application of genomics-driven precision oncology has thus far benefited only 10%-20% of cancer patients, leaving the majority without matched treatment options. This limitation underscores the need to explore alternative avenues with regard to selecting patients for targeted therapies. In contrast with genomics-based approaches, proteomics-based strategies offer a more precise understanding of the intricate biological processes driving cancer pathogenesis. This perspective underscores the importance of integrating complementary proteomic analyses into the next phase of precision oncology to establish robust biomarker-drug associations and surmount challenges related to drug resistance. One promising technology in this regard is the reverse-phase protein array (RPPA), which excels in quantitatively detecting protein modifications, even with limited amounts of sample. Its cost-effectiveness and rapid turnaround time further bolster its appeal for application in clinical settings. Here, we review the current status of genomics-driven precision oncology, as well as its limitations, with an emphasis on drug resistance. Subsequently, we explore the application of RPPA technology as a catalyst for advancing precision oncology. Through illustrative examples drawn from clinical trials, we demonstrate its utility for unraveling the molecular mechanisms underlying drug responses and resistance.
    Language English
    Publishing date 2024-02-26
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2115647-5
    ISSN 1349-7006 ; 1349-7006
    ISSN (online) 1349-7006
    ISSN 1349-7006
    DOI 10.1111/cas.16123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Division of rare cancer research.

    Kondo, Tadashi

    Biochimica et biophysica acta. Proteins and proteomics

    2018  Volume 1867, Issue 1, Page(s) 1

    MeSH term(s) Electrophoresis/methods ; Electrophoresis/trends ; Neoplasms/metabolism ; Neoplasms/pathology ; Proteomics/methods ; Proteomics/trends
    Language English
    Publishing date 2018-10-09
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 2918798-9
    ISSN 1878-1454 ; 1570-9639
    ISSN (online) 1878-1454
    ISSN 1570-9639
    DOI 10.1016/j.bbapap.2018.10.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Mass Spectrometry and Proteomics 2018: the Mass Spectrometry Society of Japan, Japanese Proteomics Society, and Asia-Oceania Human Proteome Organization.

    Kondo, Tadashi

    Expert review of proteomics

    2018  Volume 15, Issue 10, Page(s) 777–779

    Abstract: Introduction: The mass spectrometry society of Japan, Japanese proteomics society, and Asia-Oceania human proteome organization held the conference 'Mass Spectrometry and Proteomics 2018' in Osaka, Japan, on May 15-18, 2018. This international ... ...

    Abstract Introduction: The mass spectrometry society of Japan, Japanese proteomics society, and Asia-Oceania human proteome organization held the conference 'Mass Spectrometry and Proteomics 2018' in Osaka, Japan, on May 15-18, 2018. This international conference focused on cutting edge technologies and their applications in a variety of research fields such as agriculture, material science, environmental factors, and clinical applications. An overview of the conference and a summary of the major lectures are reported here. Expert commentary: The meeting will facilitate the development of fundamental technologies and the multi-disciplinary applications of proteomics.
    MeSH term(s) Congresses as Topic ; Human Genetics/methods ; Humans ; Japan ; Mass Spectrometry ; Proteomics/methods ; Societies, Scientific
    Language English
    Publishing date 2018-09-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2299100-1
    ISSN 1744-8387 ; 1478-9450
    ISSN (online) 1744-8387
    ISSN 1478-9450
    DOI 10.1080/14789450.2018.1525297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Cancer biomarker development and two-dimensional difference gel electrophoresis (2D-DIGE).

    Kondo, Tadashi

    Biochimica et biophysica acta. Proteins and proteomics

    2018  Volume 1867, Issue 1, Page(s) 2–8

    Abstract: Cancer results from the accumulation of genomic alterations. As the genome is functionally translated to the proteome and regulates tumor cell behavior, proteomics studies are expected to further the current understanding of the molecular mechanisms ... ...

    Abstract Cancer results from the accumulation of genomic alterations. As the genome is functionally translated to the proteome and regulates tumor cell behavior, proteomics studies are expected to further the current understanding of the molecular mechanisms underlying carcinogenesis and cancer progression. Biomarkers are potential tools to classify cancers for therapy, predict responses to treatments, and support treatment-related decision-making. Biomarker development has been actively pursued in oncology by proteomic approaches. Two-dimensional difference gel electrophoresis (2D-DIGE) is a proteomics technique based on two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). In 2D-DIGE, protein samples are labeled with distinct fluorescent dyes before fractionation via 2D-PAGE. 2D-DIGE offers advantages to identify biomarker candidates, including reproducibility, high sensitivity, comprehensiveness, and high throughput. 2D-DIGE has contributed to the establishment of tissue biomarkers, which potentially facilitate precision medicine. 2D-DIGE is thus expected to yield major advancements in cancer biomarker identification and development.
    MeSH term(s) Biomarkers, Tumor/chemistry ; Biomarkers, Tumor/physiology ; Electrophoresis, Gel, Two-Dimensional/methods ; Electrophoresis, Gel, Two-Dimensional/trends ; Humans ; Proteomics/methods ; Two-Dimensional Difference Gel Electrophoresis/methods ; Two-Dimensional Difference Gel Electrophoresis/trends
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2018-07-07
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2918798-9
    ISSN 1878-1454 ; 1570-9639
    ISSN (online) 1878-1454
    ISSN 1570-9639
    DOI 10.1016/j.bbapap.2018.07.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Current Status of Proteomics in Ewing's Sarcoma.

    Kondo, Tadashi

    Proteomics. Clinical applications

    2018  Volume 13, Issue 3, Page(s) e1700130

    Abstract: Ewing's sarcoma is an extremely rare mesenchymal malignancy of the bone, which predominantly occurs in children and young adolescents. Ewing's sarcoma is characterized by chromosomal translocations resulting in the formation of chimeric fusions between ... ...

    Abstract Ewing's sarcoma is an extremely rare mesenchymal malignancy of the bone, which predominantly occurs in children and young adolescents. Ewing's sarcoma is characterized by chromosomal translocations resulting in the formation of chimeric fusions between the EWS gene and transcription factors of the ETS family, such as EWS-FLI-1. The clinical outcome of Ewing's sarcoma remains poor, and novel therapeutic approaches are required. Proteomic analyses have been applied to identify the functions of the fusion gene product, and a novel mechanism of EWS-FLI-1 turnover has been proposed. Furthermore, proteomics has revealed the regulation of IL-6 secretion by EWS-FLI-1, which may promote malignant behavior in tumor cells. In addition, proteomic approaches have been used to assess the effects of unique genes and drugs on Ewing's sarcoma and to determine specific biomarker candidates for the prediction of drug resistance and recurrence. By identifying the proteins relevant to the molecular backgrounds of clinical characters of Ewing's sarcoma, we can understand the biology of Ewing's sarcoma and develop clinical applications. Fundamental research systems such as tumor cell and tissue biobanks and databases are required to make effective use of the limited clinical materials and promote research into Ewing's sarcoma.
    MeSH term(s) Biomarkers, Tumor/metabolism ; Humans ; Prognosis ; Proteomics/methods ; Sarcoma, Ewing/diagnosis ; Sarcoma, Ewing/metabolism
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2018-08-23
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2261788-7
    ISSN 1862-8354 ; 1862-8346
    ISSN (online) 1862-8354
    ISSN 1862-8346
    DOI 10.1002/prca.201700130
    Database MEDical Literature Analysis and Retrieval System OnLINE

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