Evidence map›Paper›PMID 34680196›Full record

ArticleCancers2021

Semi-Mechanistic Model for the Antitumor Response of a Combination Cocktail of Immuno-Modulators in Non-Inflamed (Cold) Tumors.

Aymara Sancho-Araiz, Sara Zalba, María J Garrido, Pedro Berraondo, Brian Topp, Dinesh de Alwis, Zinnia P Parra-Guillen, Víctor Mangas-Sanjuan, Iñaki F Trocóniz

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 2 countries.

Aymara Sancho-AraizDepartment of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-7139-165X
Sara ZalbaDepartment of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-5203-2985
María J GarridoDepartment of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.
Pedro BerraondoNavarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain.ORCID 0000-0001-7410-1865
Brian ToppQuantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Kenilworth, NJ 07033, USA.
Dinesh de AlwisQuantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Kenilworth, NJ 07033, USA.
Zinnia P Parra-GuillenDepartment of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-1503-2710
Víctor Mangas-SanjuanDepartment of Pharmacy Technology and Parasitology, Faculty of Pharmacy, University of Valencia, 46100 Valencia, Spain.ORCID 0000-0002-3388-5023
Iñaki F TrocónizDepartment of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-3700-8658
Navarre Institute of Health Research · ESMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversitat de València · ES

Funding

Instituto de Salud Carlos III TRS-2016-00000371Merck & Cothe Spanish Society Against Cancer Investigator Award INVE- S19041ALVA
6 · The paper itself

Abstract

Immune checkpoint inhibitors, administered as single agents, have demonstrated clinical efficacy. However, when treating cold tumors, different combination strategies are needed. This work aims to develop a semi-mechanistic model describing the antitumor efficacy of immunotherapy combinations in cold tumors. Tumor size of mice treated with TC-1/A9 non-inflamed tumors and the drug effects of an antigen, a toll-like receptor-3 agonist (PIC), and an immune checkpoint inhibitor (anti-programmed cell death 1 antibody) were modeled using Monolix and following a middle-out strategy. Tumor growth was best characterized by an exponential model with an estimated initial tumor size of 19.5 mm

Indexed as

cold tumorscombination of therapeuticsdrug developmentimmuno-oncologymechanistic modelingpreclinical

Identifiers

PMID34680196
PMCPMC8534053
OpenAlexW3206042326

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.