Pancreatic Cancer Research

ResearcherVilnius UniversityActive in the last 2 years

Audrius Šileikis

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-9313-0581; OpenAlex author ID A5071533354. Sources: OpenAlex.

Their work

Papers
9 (first author 0, last author 6)
Trials
0
Grants
0
Labs led
1
Collaborators
11
Papers, trials and grants by year

2016: 1 paper · 2017: none · 2018: 1 paper · 2019: 1 paper · 2020: 1 paper · 2021: 2 papers · 2022: 1 paper · 2023: 1 paper · 2024: 1 paper

Papers 9

  1. The Prospect of Improving Pancreatic Cancer Diagnostic Capabilities by Implementing Blood Biomarkers: A Study of Evaluating Properties of a Single IL-8 and in … Co-author DOI 10.3390/biomedicines12102344↗
  2. Prognostic value of circulating T-lymphocyte subsets in advanced pancreatic cancer patients treated with mFOLFIRINOX or gemcitabine. Last author DOI 10.1016/j.intimp.2023.109722↗
  3. The Effects of Treatment on Peripheral Blood Immune Cell Profile in Pancreatic Ductal Adenocarcinoma (PDAC). Last author DOI 10.21873/anticanres.15794↗
  4. Establishment and Characterization of a New Pancreatic Ductal Adenocarcinoma Cell Line Capan-26. Co-author DOI 10.21873/anticanres.14897↗
  5. CEACAM6's Role as a Chemoresistance and Prognostic Biomarker for Pancreatic Cancer: A Comparison of CEACAM6's Diagnostic and Prognostic Capabilities with Those… Last author DOI 10.3390/life11060542↗
  6. Nutritional and immune impairments and their effects on outcomes in early pancreatic cancer patients undergoing pancreatoduodenectomy. Last author DOI 10.1016/j.clnu.2020.02.029↗
  7. Towards a Personalized Approach in Pancreatic Cancer Diagnostics Through Plasma Amino Acid Analysis. Last author DOI 10.21873/anticanres.13314↗
  8. Proteomic Identification of FLT3 and PCBP3 as Potential Prognostic Biomarkers for Pancreatic Cancer. Co-author DOI 10.21873/anticanres.12914↗
  9. Metabolomics in pancreatic cancer biomarkers research. Last author DOI 10.1007/s12032-016-0853-6↗

Closest collaborators

The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Benediktas Kurlinkus · 5 shared papers, 2016–2024 · strength 0.78
  2. Mindaugas Valius · 3 shared papers, 2018–2021 · strength 0.40
  3. Skaistė Tulytė · 2 shared papers, 2022–2023 · strength 0.37
  4. Jaroslav Tumas · 3 shared papers, 2016–2020 · strength 0.32
  5. Tomas Bukys · 1 shared paper, 2024 · strength 0.31
  6. Dalius Vitkus · 1 shared paper, 2024 · strength 0.31
  7. Marija Ger · 2 shared papers, 2018–2021 · strength 0.24
  8. Kęstutis Strupas · 2 shared papers, 2018–2019 · strength 0.20
  9. Peter Schemmer · 1 shared paper, 2021 · strength 0.16
  10. Eglė Žalytė · 1 shared paper, 2021 · strength 0.16
  11. Jonas Cicenas · 2 shared papers, 2016–2018 · strength 0.15

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.