Evidence map›Paper›PMID 38067120›Full record

ReviewCells2023

PAK in Pancreatic Cancer-Associated Vasculature: Implications for Therapeutic Response.

Arian Ansardamavandi, Mehrdad Nikfarjam, Hong He

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Calliviminone A fromPlants (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Arian AnsardamavandiDepartment of Surgery, Austin Precinct, The University of Melbourne, 145 Studley Rd, Heidelberg, VIC 3084, Australia.
Mehrdad NikfarjamDepartment of Surgery, Austin Precinct, The University of Melbourne, 145 Studley Rd, Heidelberg, VIC 3084, Australia.
Hong HeDepartment of Surgery, Austin Precinct, The University of Melbourne, 145 Studley Rd, Heidelberg, VIC 3084, Australia.ORCID 0000-0002-2342-8750
The University of Melbourne · AU

Funding

Austin Hospital MN-2022, HH-2023Pancare Foundation 2022University of Melbourne HH, CA
6 · The paper itself

Abstract

Angiogenesis has been associated with numbers of solid tumours. Anti-angiogenesis drugs starve tumours of nutrients and oxygen but also make it difficult for a chemo reagent to distribute into a tumour, leading to aggressive tumour growth. Anti-angiogenesis drugs do not appear to improve the overall survival rate of pancreatic cancer. Vessel normalisation is merging as one of the new approaches for halting tumour progression by facilitating the tumour infiltration of immune cells and the delivery of chemo reagents. Targeting p21-activated kinases (PAKs) in cancer has been shown to inhibit cancer cell growth and improve the efficacy of chemotherapy. Inhibition of PAK enhances anti-tumour immunity and stimulates the efficacy of immune checkpoint blockades. Inhibition of PAK also improves Car-T immunotherapy by reprogramming the vascular microenvironment. This review summarizes current research on PAK's role in tumour vasculature and therapeutical response, with a focus on pancreatic cancer.

Indexed as

Pancreatic NeoplasmsCell Transformation, NeoplasticHumansp21-Activated KinasesPancreasTumor Microenvironmentp21-Activated Kinasesangiogenesischemotherapyimmunotherapyp21-activated kinases (PAKs)pancreatic cancervessel normalisation

Identifiers

PMID38067120
PMCPMC10705971
OpenAlexW4388942409

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.