Evidence map›Paper›PMID 31092407›Full record

ArticleCancer research2019

Progress in Understanding Complexity and Determinants of Immune-Related Prognostic Subsets in Primary Melanoma.

Andrea Anichini

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Andrea AnichiniHuman Tumors Immunobiology Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. andrea.anichini@istitutotumori.mi.it.
Fondazione IRCCS Istituto Nazionale dei Tumori · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene signatures are increasingly being used to infer the immune composition of the tumor microenvironment. This strategy holds the promise for earlier detection, identification of patients at higher risk of progression, and for understanding therapeutic response and resistance to immunotherapy. This gene signature approach is now being integrated with information from genomic changes, gene networks, and master immunoregulatory genes, and this development can lead to identify the main determinants shaping the tumor immune landscape. A study in this issue of

Indexed as

MelanomaGene Regulatory NetworksHumansImmunotherapyPrognosisTumor Microenvironment

Identifiers

PMID31092407
OpenAlexW2946371695

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.