Evidence map›Paper›PMID 25314223›Full record

ReviewBritish journal of cancer2014

Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside.

V Boisguérin, J C Castle, M Loewer, J Diekmann, F Mueller, C M Britten, S Kreiter, Ö Türeci, U Sahin

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. FRED 2: an immunoinformatics framework for Python.Bioinformatics (Oxford, England) · 2016
    Article
  10. Immunological landscape and immunotherapy of hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2015
    Review
  11. Article
  12. Review
  13. Article
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.

V Boisguérin1] TRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany [2] BioNTech AG, Hölderlinstr 8, 55131 Mainz, Germany.
J C CastleTRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany.
M LoewerTRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany.
J DiekmannTRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany.
F Mueller1] TRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany [2] BioNTech AG, Hölderlinstr 8, 55131 Mainz, Germany [3] TheraCode GmbH, Hölderlinstr 8, 55131 Mainz, Germany.
C M Britten1] TRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany [2] Ribological GmbH, Hölderlinstr 8, 55130 Mainz, Germany.
S KreiterTRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany.
Ö Türeci1] University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany [2] Ganymed Pharmaceuticals AG, Freiligrathstraße 12, 55131 Mainz, Germany.
U Sahin1] TRON gGmbH-Translational Oncology at Johannes Gutenberg-University Medical Center gGmbH, Langenbeckstr 1, Building 708, 55131 Mainz, Germany [2] BioNTech AG, Hölderlinstr 8, 55131 Mainz, Germany [3] University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a disease caused by DNA mutations. Cancer therapies targeting defined functional mutations have shown clinical benefit. However, as 95% of the mutations in a tumour are unique to that single patient and only a small number of mutations are shared between patients, the addressed medical need is modest. A rapidly determined patient-specific tumour mutation pattern combined with a flexible mutation-targeting drug platform could generate a mutation-targeting individualised therapy, which would benefit each single patient. Next-generation sequencing enables the rapid identification of somatic mutations in individual tumours (the mutanome). Immunoinformatics enables predictions of mutation immunogenicity. Mutation-targeting RNA-based vaccines can be rapidly and affordably synthesised as custom GMP drug products. Integration of these cutting-edge technologies into a clinically applicable process holds the promise of a disruptive innovation benefiting cancer patients. Here, we describe our translation of the individualised RNA-based cancer vaccine concept into clinic trials.

Indexed as

Precision MedicineTranslational Research, BiomedicalCancer VaccinesDrug Evaluation, PreclinicalHumansMutationRNA, NeoplasmCancer VaccinesRNA, Neoplasm

Identifiers

PMID25314223
PMCPMC4200076
OpenAlexW2068514555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.