Pancreatic Cancer Research

ResearcherHubei University of MedicineActive in the last 2 years

Lun Wu

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

Matched on ORCID iD 0000-0002-8618-2049; OpenAlex author ID A5101571303. Sources: OpenAlex.

Their work

Papers
9 (first author 3, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
17
Papers, trials and grants by year

2020: 2 papers · 2021: 3 papers · 2022: 2 papers · 2023: 1 paper · 2024: none · 2025: none · 2026: 1 paper

Papers 9

  1. Single-cell and bulk transcriptomics identify senescence-related EMT transcriptional programs and a prognostic framework in pancreatic ductal adenocarcinoma. First author DOI 10.1186/s12876-026-05043-6↗
  2. N6 -methyladenosine RNA demethylase FTO regulates extracellular matrix-related genes and promotes pancreatic cancer cell migration and invasion. Co-author DOI 10.1002/cam4.5054↗
  3. m6A RNA demethylase FTO promotes the growth, migration and invasion of pancreatic cancer cells through inhibiting TFPI-2. Co-author DOI 10.1080/15592294.2022.2061117↗
  4. Long non‑coding RNA 01614 hyperactivates WNT/β‑catenin signaling to promote pancreatic cancer progression by suppressing GSK‑3β. First author DOI 10.3892/ijo.2022.5406↗
  5. Upregulation of B3GNT3 Correlates With Poor Prognosis and Decreased Immune Cell Infiltration In Pancreatic Adenocarcinoma Co-author DOI 10.21203/rs.3.rs-218028/v1↗
  6. Panax notoginseng Saponins Promote Cell Death and Chemosensitivity in Pancreatic Cancer through the Apoptosis and Autophagy Pathways. First author DOI 10.2174/1871520620999201110191459↗
  7. Four potential microRNAs affect the progression of pancreatic ductal adenocarcinoma by targeting MET via the PI3K/AKT signaling pathway. Co-author DOI 10.3892/ol.2021.12588↗
  8. Circulating exosomal microRNAs as novel detection biomarkers in pancreatic cancer Co-author DOI 10.21203/rs.2.22716/v1↗
  9. Circulating exosomal microRNAs as novel potential detection biomarkers in pancreatic cancer. Co-author DOI 10.3892/ol.2020.11691↗

Closest collaborators

The 17 strongest of 17 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Lulu Zhai · 7 shared papers, 2021–2026 · strength 1.25
  2. Lichao Yao · 5 shared papers, 2021–2023 · strength 0.77
  3. Lin Ye · 4 shared papers, 2020–2021 · strength 0.48
  4. Zhi‐Gang Tang · 3 shared papers, 2020–2022 · strength 0.42
  5. Zhi‐Gang Tang · 2 shared papers, 2022–2023 · strength 0.36
  6. Wei Wang · 2 shared papers, 2022–2023 · strength 0.36
  7. Long-Jiang Chen · 2 shared papers, 2022 · strength 0.34
  8. L Chen · 1 shared paper, 2026 · strength 0.30
  9. X Wang · 1 shared paper, 2026 · strength 0.30
  10. Xuan Pan · 1 shared paper, 2026 · strength 0.30
  11. Zhi‐Gang Tang · 2 shared papers, 2021 · strength 0.27
  12. Kaihuan Yu · 1 shared paper, 2023 · strength 0.19
  13. Jinzhuo Ning · 1 shared paper, 2022 · strength 0.16
  14. Weibo Li · 1 shared paper, 2021 · strength 0.14
  15. Longjiang Chen · 1 shared paper, 2021 · strength 0.14
  16. Zhigang Tang · 1 shared paper, 2020 · strength 0.10
  17. Hongmei Wang · 1 shared paper, 2020 · 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.