Evidence map›Paper›PMID 28059608›Full record

ArticleHuman vaccines & immunotherapeutics2017

Near future of tumor immunology: Anticipating resistance mechanisms to immunotherapies, a big challenge for clinical trials.

João Paulo Portela Catani, Rachel P Riechelmann, Sandy Adjemian, Bryan E Strauss

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

João Paulo Portela Catania Viral Vector Laboratory, Center for Translational Investigation in Oncology , Cancer Institute of Sao Paulo/LIM 24, University of São Paulo School of Medicine , São Paulo , Brazil.
Rachel P Riechelmannb Cancer Institute of Sao Paulo , University of São Paulo School of Medicine , São Paulo , Brazil.
Sandy Adjemianc Laboratory of Cell and Molecular Biology, Departament of Immunology , Biomedical Sciences Institute, University of São Paulo , São Paulo , Brazil.
Bryan E Straussa Viral Vector Laboratory, Center for Translational Investigation in Oncology , Cancer Institute of Sao Paulo/LIM 24, University of São Paulo School of Medicine , São Paulo , Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of immunotherapies brings hope for the future of cancer treatment. Even so, we are faced with a new challenge, that of understanding which patients will respond initially and, possibly, develop resistance. The examination of the immune profile, especially approaches related to the immunoscore, may foretell which tumors will have a positive initial response. Ideally, the mutation load would also be analyzed, helping to reveal tumor associated antigens that are predictive of an effective cytolytic attack. However, the response may be hindered by changes induced in the tumor and its microenvironment during treatment, perhaps stemming from the therapy itself. To monitor such alterations, we suggest that minimally invasive approaches should be explored, such as the analysis of circulating tumor DNA. When testing new drugs, the data collected from each patient would initially represent an N of 1 clinical trial that could then be deposited in large databases and mined retrospectively for trends and correlations between genetic alterations and response to therapy. We expect that the investment in personalized approaches that couple molecular analysis during clinical trials will yield critical data that, in the future, may be used to predict the outcome of novel immunotherapies.

Indexed as

Clinical Trials as TopicDNAGenes, cdcHumansImmunotherapyNeoplasmsPrecision MedicineTumor MicroenvironmentDNAcancercheckpoint blockadecirculating tumor DNAimmunoscorepersonalized medicine

Identifiers

PMID28059608
PMCPMC5443390

What OpenQuestion holds

Textmetadata
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Registered trials

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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.