Evidence map›Paper›PMID 30955066›Full record

ArticleCancer immunology, immunotherapy : CII2019

T-cell recognition of non-mutated tumor antigens in healthy individuals: connecting endogenous immunity and tumor dormancy.

Constantin N Baxevanis

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2019. 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 27% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
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  4. Review
  5. 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

1 author at 1 institution in 1 country.

Constantin N BaxevanisCancer Immunology and Immunotherapy Center, St Savas Cancer Hospital, 171 Alexandras Ave, 11522, Athens, Greece. baxevanis@ciic.gr.
St Savas Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of a dual functional programme of the immune system to destroy malignant cells but also to edit their immunogenic profile, considerably improved our understanding of the process of tumor evolution in the context of a continuum of interactions between tumor cells and immune lymphocytes. Such an endogenous antitumor immunity throughout the period of cancer development established the concept of cancer immunomodulation which is practically based on a process of selection of more clonal tumors which are manageable by the immune system and constitute the equilibrium phase of immunoediting. The duration of this phase is very important, because the immune system keeps the tumor in a dormant state via cell interactions which establish a balanced state of tumor immunosurveillance versus tumor immune evasion. Depending on the quality and quantity of antitumor immune reactivity and the effectiveness of resistance mechanisms employed by the tumor cells to counteract this immune attack, the equilibrium phase may have shorter or longer duration. Notwithstanding its natural course, the equilibrium phase should be considered as a part of tumor evolutionary process guided by genetic as well as epigenetic changes which in turn activate endogenous cellular immunity to certain levels capable of controlling tumor growth rates and maintain tumor dormancy.

Indexed as

Immunity, CellularImmunologic SurveillanceAnimalsAntigens, NeoplasmAutoantigensHumansImmune ToleranceImmunotherapyMutationNeoplasmsT-LymphocytesTumor EscapeAntigens, NeoplasmAutoantigensEndogenous immunityMelanoma antigensNeoantigensPIVAC 17T-cell recognitionTumor dormancy

Identifiers

PMID30955066
PMCPMC11028204
OpenAlexW2933985851

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.