Evidence map›Paper›PMID 37924937›Full record

ArticleCancer letters2023

Natural killer cells for pancreatic cancer immunotherapy: Role of nanoparticles.

Virender Kumar, Ram I Mahato

Abstract read
In one paragraph

Article in Cancer letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

2 authors.

Virender KumarDepartment of Pharmaceutical Sciences University of Nebraska Medical Center, Omaha, NE 68198, USA.
Ram I MahatoDepartment of Pharmaceutical Sciences University of Nebraska Medical Center, Omaha, NE 68198, USA. Electronic address: ram.mahato@unmc.edu.

Funding

Nanomedicine of Hedgehog and AKT/ERK Dual Inhibitors for Pancreatic CancerR01CA266759 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Ram I. Mahato · 2022 to 2026
$2.2M
Targeting PI3K/BRD4 and Hedgehog Pathway in Alcohol Associated Liver DiseaseK01AA029763 · NIAAA · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KUMAR, VIRENDER · 2021 to 2025
$528k
NCI NIH HHS R01 CA266759NIAAA NIH HHS K01 AA029763
6 · The paper itself

Abstract

Advanced pancreatic cancer patients have a dismal prognosis despite advances in integrative therapy. The field of tumor immunology has witnessed significant advancements for cancer treatment. However, immunotherapy for pancreatic cancer is not very effective due to its highly complex tumor microenvironment (TME). Natural killer (NK) cells are lymphocytes that play an important role in the innate immune system. NK cells do not require antigen pre-sensitization, nor are they confined by the major histocompatibility complex (MHC). NK cells have the potential to eliminate cancer cells through CAR-dependent and CAR-independent pathways, demonstrating reduced levels of systemic toxicity in the process. The availability of several potential sources of NK cells is an additional benefit that contributes to meeting the therapeutic criteria. Adding nanotechnology to enhance the functions of effector NK cells is also an appealing strategy. This article primarily discusses various approaches recently been utilized to enhance the NK functions for the treatment of pancreatic cancer. In addition, new advances in boosting NK cell therapeutic efficacy by nanoparticle mediation are presented, with a focus on pancreatic cancer.

Indexed as

NanoparticlesNeoplasmsPancreatic NeoplasmsHumansImmunotherapyImmunotherapy, AdoptiveKiller Cells, NaturalTumor MicroenvironmentImmunotherapyNanoparticlesNatural killer cellPancreatic cancerTumor microenvironment

Identifiers

PMID37924937
PMCPMC10842153

What Socratic holds

Textmetadata
LicenceTDM
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.