Pancreatic Cancer Research

ResearcherUniversity of KochiActive in the last 2 years

Mutsuo Furihata

Matched on OpenAlex author ID A5112668255. Sources: OpenAlex.

Their work

Papers
14 (first author 6, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
29
Papers, trials and grants by year

2014: 3 papers · 2015: 1 paper · 2016: 2 papers · 2017: none · 2018: 1 paper · 2019: 1 paper · 2020: none · 2021: 1 paper · 2022: 2 papers · 2023: none · 2024: none · 2025: 1 paper · 2026: 2 papers

Papers 14

  1. Chemotherapy-induced CAF-associated stromal remodeling in a humanized stroma pancreatic ductal adenocarcinoma organoid xenograft model: a comparison between GP… Co-author DOI 10.1007/s13577-026-01443-8↗
  2. A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized Lectin Combination Using Machine Learning. Co-author DOI 10.3390/cancers18060924↗
  3. Inhibitory effects of the combination of rapamycin with gemcitabine plus paclitaxel on the growth of pancreatic cancer tumors. Co-author DOI 10.1007/s13577-024-01165-9↗
  4. Establishment of a mouse model of pancreatic cancer using human pancreatic cancer cell line S2-013-derived organoid. Co-author DOI 10.1007/s13577-022-00684-7↗
  5. Upregulation of PODXL and ITGB1 in pancreatic cancer tissues preoperatively obtained by EUS-FNAB correlates with unfavorable prognosis of postoperative pancrea… Last author DOI 10.1371/journal.pone.0265172↗
  6. Reproducibility and prognostic significance of area of residual tumor (ART) in post-neoadjuvant resections of pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.pan.2021.09.006↗
  7. Overexpression of PODXL/ITGB1 and BCL7B/ITGB1 accurately predicts unfavorable prognosis compared to the TNM staging system in postoperative pancreatic cancer p… First author DOI 10.1371/journal.pone.0217920↗
  8. ARHGEF4 predicts poor prognosis and promotes cell invasion by influencing ERK1/2 and GSK-3α/β signaling in pancreatic cancer. First author DOI 10.3892/ijo.2018.4549↗
  9. Vav3 is linked to poor prognosis of pancreatic cancers and promotes the motility and invasiveness of pancreatic cancer cells. Co-author DOI 10.1016/j.pan.2016.07.002↗
  10. CCDC88A, a prognostic factor for human pancreatic cancers, promotes the motility and invasiveness of pancreatic cancer cells. Co-author DOI 10.1186/s13046-016-0466-0↗
  11. Peroxiredoxin 1 promotes pancreatic cancer cell invasion by modulating p38 MAPK activity. First author DOI 10.1097/mpa.0000000000000270↗
  12. KIF20A-mediated RNA granule transport system promotes the invasiveness of pancreatic cancer cells. First author DOI 10.1016/j.neo.2014.10.007↗
  13. IGF2BP3-mediated translation in cell protrusions promotes cell invasiveness and metastasis of pancreatic cancer. First author DOI 10.18632/oncotarget.2257↗
  14. RUVBL1 directly binds actin filaments and induces formation of cell protrusions to promote pancreatic cancer cell invasion. First author DOI 10.3892/ijo.2014.2380↗

Closest collaborators

The 25 strongest of 29 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Keisuke Taniuchi · 12 shared papers, 2014–2026 · strength 1.56
  2. Kaoru Furihata · 4 shared papers, 2022–2026 · strength 1.05
  3. Toshiji Saibara · 8 shared papers, 2014–2019 · strength 0.58
  4. Mitsunari Ogasawara · 2 shared papers, 2022 · strength 0.32
  5. Yuri Jobu · 1 shared paper, 2025 · strength 0.30
  6. Chiharu Tanaka · 2 shared papers, 2021–2022 · strength 0.27
  7. Ayumi Kashiro · 1 shared paper, 2026 · strength 0.23
  8. Minoru Kitago · 1 shared paper, 2026 · strength 0.23
  9. Atsushi Kuno · 1 shared paper, 2026 · strength 0.23
  10. Sho Uemura · 1 shared paper, 2026 · strength 0.23
  11. Tatsuya Kawakami · 1 shared paper, 2026 · strength 0.23
  12. Yuko Kitagawa · 1 shared paper, 2026 · strength 0.23
  13. Yasuaki Kabe · 1 shared paper, 2026 · strength 0.23
  14. Kazufumi Honda · 1 shared paper, 2026 · strength 0.23
  15. Kazuhiro Hanazaki · 4 shared papers, 2014–2016 · strength 0.22
  16. Hideki Taniguchi · 1 shared paper, 2022 · strength 0.16
  17. Makoto Ueno · 1 shared paper, 2022 · strength 0.16
  18. Ai Kameyama · 1 shared paper, 2021 · strength 0.10
  19. Ayaka Shimomura · 1 shared paper, 2021 · strength 0.10
  20. Keiko Yamakawa · 1 shared paper, 2021 · strength 0.10
  21. Yoko Matsuda · 1 shared paper, 2021 · strength 0.10
  22. Juanjuan Ye · 1 shared paper, 2021 · strength 0.10
  23. Motohiro Kojima · 1 shared paper, 2021 · strength 0.10
  24. Masanao Yokohira · 1 shared paper, 2021 · strength 0.10
  25. Mari A. Mino-Kenudson · 1 shared paper, 2021 · strength 0.10

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.