Pancreatic Cancer Research

ResearcherOkayama UniversityActive in the last 2 years

Mitsunobu R. Kano

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0003-1593-1855; OpenAlex author ID A5091050414. Sources: OpenAlex.

Their work

Papers
10 (first author 1, last author 5)
Trials
0
Grants
0
Labs led
1
Collaborators
33
Papers, trials and grants by year

2012: 2 papers · 2013: none · 2014: none · 2015: none · 2016: 1 paper · 2017: 1 paper · 2018: none · 2019: 1 paper · 2020: 1 paper · 2021: none · 2022: none · 2023: 1 paper · 2024: 1 paper · 2025: 1 paper · 2026: 1 paper

Papers 10

  1. p53-armed oncolytic adenovirus induces apoptosis in pancreatic cancer-associated stellate cells via macropinocytosis. Co-author DOI 10.1038/s41417-025-00989-3↗
  2. Collagen Signaling via DDR1 Exacerbates Barriers to Macromolecular Drug Delivery in a 3D Model of Pancreatic Cancer Fibrosis. Co-author DOI 10.1002/smll.202506926↗
  3. Targeting ROCK2 improves macromolecular permeability in a 3D fibrotic pancreatic cancer microenvironment model. Last author DOI 10.1016/j.jconrel.2024.03.041↗
  4. Relationships between physical and immunological tumor microenvironment in pancreatic ductal adenocarcinoma. Co-author DOI 10.1111/cas.15853↗
  5. Heterotypic 3D pancreatic cancer model with tunable proportion of fibrotic elements. Last author DOI 10.1016/j.biomaterials.2020.120077↗
  6. Pancreatic stellate cells derived from human pancreatic cancer demonstrate aberrant SPARC-dependent ECM remodeling in 3D engineered fibrotic tissue of clinical… Last author DOI 10.1016/j.biomaterials.2018.11.023↗
  7. Desmoplastic Reaction in 3D-Pancreatic Cancer Tissues Suppresses Molecular Permeability. Co-author DOI 10.1002/adhm.201700057↗
  8. Increased fibrosis and impaired intratumoral accumulation of macromolecules in a murine model of pancreatic cancer co-administered with FGF-2. Last author DOI 10.1016/j.jconrel.2016.04.007↗
  9. PDGFRβ expression in tumor stroma of pancreatic adenocarcinoma as a reliable prognostic marker. First author DOI 10.1007/s12032-012-0193-0↗
  10. Engineering fibrotic tissue in pancreatic cancer: a novel three-dimensional model to investigate nanoparticle delivery. Last author DOI 10.1016/j.bbrc.2012.01.117↗

Closest collaborators

The 25 strongest of 33 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Hiroyoshi Y. Tanaka · 7 shared papers, 2016–2026 · strength 1.07
  2. Atsushi Masamune · 5 shared papers, 2019–2026 · strength 0.93
  3. Horacio Cabral · 5 shared papers, 2012–2025 · strength 0.72
  4. Michiya Matsusaki · 4 shared papers, 2012–2020 · strength 0.33
  5. Takuya Miyazaki · 1 shared paper, 2024 · strength 0.26
  6. Yoshinori Kajiwara · 1 shared paper, 2026 · strength 0.23
  7. Ryohei Shoji · 1 shared paper, 2026 · strength 0.23
  8. Yasuo Nagai · 1 shared paper, 2026 · strength 0.23
  9. Shinji Kuroda · 1 shared paper, 2026 · strength 0.23
  10. Yuzo Umeda · 1 shared paper, 2026 · strength 0.23
  11. Ryuichi Yoshida · 1 shared paper, 2026 · strength 0.23
  12. Takeyoshi Nishiyama · 1 shared paper, 2026 · strength 0.23
  13. Toshiyoshi Fujiwara · 1 shared paper, 2026 · strength 0.23
  14. Mayu Ohira · 1 shared paper, 2025 · strength 0.21
  15. Hiroshi Nishihara · 3 shared papers, 2012–2019 · strength 0.16
  16. Yu Igata · 1 shared paper, 2023 · strength 0.15
  17. Shin Kobayashi · 1 shared paper, 2023 · strength 0.15
  18. Motokazu Sugimoto · 1 shared paper, 2023 · strength 0.15
  19. Triantafyllos Stylianopoulos · 1 shared paper, 2023 · strength 0.15
  20. Naoto Gotohda · 1 shared paper, 2023 · strength 0.15
  21. Motohiro Kojima · 1 shared paper, 2023 · strength 0.15
  22. Masashi Kudo · 1 shared paper, 2023 · strength 0.15
  23. Mitsuru Akashi · 2 shared papers, 2012–2017 · strength 0.11
  24. Kohei Miyazono · 2 shared papers, 2012–2016 · strength 0.09
  25. Patrick Couvreur · 1 shared paper, 2017 · strength 0.08

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.