Works matching IS 10196439 AND DT 2022 AND VI 60 AND IP 5


Results: 13
    1

    Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer.

    Published in:
    International Journal of Oncology, 2022, v. 60, n. 5, p. N.PAG, doi. 10.3892/ijo.2022.5350
    By:
    • Iwatate, Yosuke;
    • Yokota, Hajime;
    • Hoshino, Isamu;
    • Ishige, Fumitaka;
    • Kuwayama, Naoki;
    • Itami, Makiko;
    • Mori, Yasukuni;
    • Chiba, Satoshi;
    • Arimitsu, Hidehito;
    • Yanagibashi, Hiroo;
    • Takayama, Wataru;
    • Uno, Takashi;
    • Lin, Jason;
    • Nakamura, Yuki;
    • Tatsumi, Yasutoshi;
    • Shimozato, Osamu;
    • Nagase, Hiroki
    Publication type:
    Article
    2

    Identification of the most common BRCA alterations through analysis of germline mutation databases: Is droplet digital PCR an additional strategy for the assessment of such alterations in breast and ovarian cancer families?

    Published in:
    International Journal of Oncology, 2022, v. 60, n. 5, p. N.PAG, doi. 10.3892/ijo.2022.5349
    By:
    • Lavoro, Alessandro;
    • Scalisi, Aurora;
    • Candido, Saverio;
    • Zanghì, Guido Nicola;
    • Rizzo, Roberta;
    • Gattuso, Giuseppe;
    • Caruso, Giuseppe;
    • Libra, Massimo;
    • Falzone, Luca
    Publication type:
    Article
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    Comparison of single copy gene-based duplex quantitative PCR and digital droplet PCR for monitoring of expansion of CD19-directed CAR T cells in treated patients.

    Published in:
    International Journal of Oncology, 2022, v. 60, n. 5, p. N.PAG, doi. 10.3892/ijo.2022.5338
    By:
    • Schubert, Maria-Luisa;
    • Berger, Carolina;
    • Kunz, Alexander;
    • Schmitt, Anita;
    • Badbaran, Anita;
    • Neuber, Brigitte;
    • Zeschke, Silke;
    • Wang, Lei;
    • Riecken, Kristoffer;
    • Hückelhoven-Krauss, Angela;
    • Müller, Ingo;
    • Müller-Tidow, Carsten;
    • Dreger, Peter;
    • Kröger, Nicolaus;
    • Ayuk, Francis A.;
    • Schmitt, Michael;
    • Fehse, Boris
    Publication type:
    Article