Evidence map›Paper›PMID 35937458›Full record

ArticleCancer research communications2022

The Combination of Radiotherapy and Complement C3a Inhibition Potentiates Natural Killer cell Functions Against Pancreatic Cancer.

Quaovi H Sodji, Dhanya K Nambiar, Vignesh Viswanathan, Rie von Eyben, Deana Colburg, Michael S Binkley, Caiyun G Li, Monica M Olcina, Daniel T Chang, Quynh-Thu Le and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Complement system in cancer: friend or foe of immunotherapy.Journal for immunotherapy of cancer · 2026
    Review
  3. Immune Predictors of Radiotherapy Outcomes in Cervical Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

11 authors at 2 institutions in 2 countries.

Quaovi H SodjiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Dhanya K NambiarDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Vignesh ViswanathanDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Rie von EybenDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Deana ColburgDepartment of Pathology, Stanford University School of Medicine, Stanford, California, United States.
Michael S BinkleyDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Caiyun G LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Monica M OlcinaMRC/CRUK Oxford Institute for Radiation Oncology and Gray Laboratory, University of Oxford, Oxford, United Kingdom.
Daniel T ChangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Quynh-Thu LeDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Amato J GiacciaDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Stanford Medicine · USCRUK/MRC Oxford Institute for Radiation Oncology · GB

Funding

TUMOR HYPOXIA--MOLECULAR STUDIES &CLINICAL EXPLOITATIONP01CA067166 · NCI · STANFORD UNIVERSITY · PI LE, QUYNH-THU XUAN · 1996 to 2017
$25.5M
Translational Biology CoreP01CA257907 · NCI · STANFORD UNIVERSITY · PI Maximilian Diehn, Quynh-Thu Xuan Le · 2022 to 2026
$12.0M
The Impact of Mitochondrial Repression and Lipid Accumulation by HIF on Tumor GrowthR35CA197713 · NCI · STANFORD UNIVERSITY · PI GIACCIA, AMATO J. · 2015 to 2021
$5.3M
Preclinical Testing of a Novel Therapy Targeting AXL in Advanced Kidney CancerR01CA198291 · NCI · STANFORD UNIVERSITY · PI RANKIN, ERINN B · 2016 to 2020
$2.4M
Cancer Research UK 28736Medical Research Council MC_UU_00001/10Medical Research Council MC_UU_00001/8NCI NIH HHS P01 CA067166NCI NIH HHS P01 CA257907NCI NIH HHS R01 CA198291NCI NIH HHS R35 CA197713
6 · The paper itself

Abstract

Pancreatic cancer is one of the deadliest cancers, against which current immunotherapy strategies are not effective. Herein, we analyzed the immune cell composition of the tumor microenvironment of pancreatic cancer samples in The Cancer Genome Atlas and found that the presence of intratumoral NK cells correlates with survival. Subsequent analysis also indicated that NK cell exclusion from the microenvironment is found in a high percentage of clinical pancreatic cancers and in preclinical models of pancreatic cancer. Mechanistically, NK cell exclusion is regulated in part by complement C3a and its receptor signaling. Inhibition of the C3a receptor enhances NK cell infiltration in syngeneic mouse models of pancreatic cancer resulting in tumor growth delay. However, tumor growth inhibition mediated by NK cells is not sufficient alone for complete tumor regression, but is potentiated when combined with radiation therapy. Our findings indicate that although C3a inhibition is a promising approach to enhance NK cell-based immunotherapy against pancreatic cancer, its combination with radiation therapy hold greater therapeutic benefit.

Indexed as

Complement C3aPancreatic NeoplasmsAnimalsImmunotherapyKiller Cells, NaturalMiceTumor MicroenvironmentComplement C3a

Identifiers

PMID35937458
PMCPMC9354534
OpenAlexW4283829377

What OpenQuestion 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 OpenQuestion graph.