Evidence map›Paper›PMID 28716068›Full record

ReviewJournal for immunotherapy of cancer2017

Highlights of the 31st annual meeting of the Society for Immunotherapy of Cancer (SITC), 2016.

James L Gulley, Elizabeth A Repasky, Laura S Wood, Lisa H Butterfield

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  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

4 authors.

James L GulleyGenitourinary Malignancies Branch, Center for Cancer Research, NCI, 10 Center Dr., 13N240, Bethesda, MD, 20892, USA.
Elizabeth A RepaskyDepartment of Immunology/CGP-L5-321, Roswell Park Cancer Institute, Elm & Carlton Streets, Buffalo, NY, 14263, USA.
Laura S WoodCleveland Clinic Taussig Cancer Institute, 13907, Blackberry Circle, Strongsville, OH, 44136, USA.
Lisa H ButterfieldDepartment of Medicine, Surgery and Immunology, University of Pittsburgh Cancer Institute, 5117 Centre Avenue, Pittsburgh, PA, 15213, USA. butterfieldl@upmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic efforts to engage the immune system against cancer have yielded exciting breakthroughs and a growing list of approved immune-based agents across a variety of disease states. Despite the early successes and durable responses associated with treatments such as immune checkpoint inhibition, there is still progress to be made in the field of cancer immunotherapy. The 31st annual meeting of the Society for Immunotherapy of Cancer (SITC 2016), which took place November 11-13, 2016 in National Harbor, Maryland, showcased the latest advancements in basic, translational, and clinical research focused on cancer immunology and immunotherapy. Novel therapeutic targets, insights into the dynamic tumor microenvironment, potential biomarkers, and novel combination approaches were some of the main themes covered at SITC 2016. This report summarizes key data and highlights from each session.

Indexed as

Cancer VaccinesCell- and Tissue-Based TherapyCongresses as TopicHumansImmunotherapyMarylandNational Cancer Institute (U.S.)NeoplasmsTumor MicroenvironmentUnited StatesCancer VaccinesAdoptive cellular therapyBispecific antibodiesCancerCancer vaccinesCAR T cellsCheckpoint inhibitorsCombinationsImmunotherapyMicrobiomeTumor microenvironment

Identifiers

PMID28716068
PMCPMC5514521

What OpenQuestion holds

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LicenceCC BY
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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.