Evidence map›Paper›PMID 27245281›Full record

ReviewNature reviews. Clinical oncology2017

A second chance for telomerase reverse transcriptase in anticancer immunotherapy.

Maurizio Zanetti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

63 citing papers in PubMed, 103 citations in OpenAlex.

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  14. Telomeres and telomerase in Sarcoma disease and therapy.International journal of medical sciences · 2024
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3 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Maurizio ZanettiThe Laboratory of Immunology, Department of Medicine and Moores Cancer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0815, USA.
University of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomerase reverse transcriptase (TERT) is a self-antigen that is expressed constitutively in many tumours, and is, therefore, an important target for anticancer immunotherapy. In the past 10 years, trials of immunotherapy with TERT-based vaccines have demonstrated only modest benefits. In this Perspectives, I discuss the possible immunological reasons for this limited antitumour efficacy, and propose that advances in our understanding of the genetics and biology of the involvement of TERT in cancer provides the basis for renewed interest in TERT- based immunotherapy. Telomerase and TERT are expressed in cancer cells at every stage of tumour evolution, from the cancer stem cell to circulating tumour cells and tumour metastases. Many cancer types also harbour cells with mutations in the TERT promoter region, which increase transcriptional activation of this gene. These new findings should spur new interest in the development of TERT-based immunotherapies that are redesigned in line with established immunological considerations and working principles, and are tailored to patients stratified on the basis of TERT-promoter mutations and other underlying tumour characteristics. Thus, despite the disappointment of previous clinical trials, TERT offers the potential for personalized immunotherapy, perhaps in combination with immune-checkpoint inhibition.

Indexed as

AutoimmunityCancer VaccinesClinical Trials as TopicEpithelial-Mesenchymal TransitionHumansImmunity, CellularImmunotherapyNeoplasmsNeoplastic Cells, CirculatingOncogenesPromoter Regions, GeneticTelomeraseCancer VaccinesTelomerase

Identifiers

PMID27245281
OpenAlexW2415521374

What OpenQuestion holds

Textmetadata
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.