Evidence map›Paper›PMID 34831269›Full record

ArticleCells2021

In Silico Model Estimates the Clinical Trial Outcome of Cancer Vaccines.

Orsolya Lőrincz, József Tóth, Levente Molnár, István Miklós, Kata Pántya, Mónika Megyesi, Eszter Somogyi, Zsolt Csiszovszki, Enikő R Tőke

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. 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
0.7field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Safety and Activity of PolyPEPI1018 Combined with Maintenance Therapy in Metastatic Colorectal Cancer: an Open-Label, Multicenter, Phase Ib Study.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  5. Predicting epitopes for vaccine development using bioinformatics tools.Therapeutic advances in vaccines and immunotherapy · 2022
    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 1 institution in 1 country.

Orsolya LőrinczTreos Bio Ltd., London W1W6XB, UK.ORCID 0000-0003-4847-526X
József TóthTreos Bio Ltd., London W1W6XB, UK.
Levente MolnárTreos Bio Ltd., London W1W6XB, UK.
István MiklósTreos Bio Ltd., London W1W6XB, UK.
Kata PántyaTreos Bio Ltd., London W1W6XB, UK.
Mónika MegyesiTreos Bio Ltd., London W1W6XB, UK.
Eszter SomogyiTreos Bio Ltd., London W1W6XB, UK.
Zsolt CsiszovszkiTreos Bio Ltd., London W1W6XB, UK.
Enikő R TőkeTreos Bio Ltd., London W1W6XB, UK.
Alfréd Rényi Institute of Mathematics · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 30 years after the first cancer vaccine clinical trial (CT), scientists still search the missing link between immunogenicity and clinical responses. A predictor able to estimate the outcome of cancer vaccine CTs would greatly benefit vaccine development. Published results of 94 CTs with 64 therapeutic vaccines were collected. We found that preselection of CT subjects based on a single matching HLA allele does not increase immune response rates (IRR) compared with non-preselected CTs (median 60% vs. 57%,

Indexed as

Clinical Trials as TopicComputer SimulationAntigens, NeoplasmCancer VaccinesCohort StudiesEpitopesGene FrequencyHLA AntigensHumansTreatment OutcomeAntigens, NeoplasmCancer VaccinesEpitopesHLA Antigenscancer vaccineclinical response rateHLA genotypeimmune response ratein silico trial

Identifiers

PMID34831269
PMCPMC8616443
OpenAlexW3211342523

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.