Evidence map›Paper›PMID 36111402›Full record

ArticleCancer research2022

Space Is the Place: Mapping the Cell-Cell Interactions That Predict Immunotherapy Responses in Melanoma.

Inna Smalley, Keiran S M Smalley

Open access · bronzeAbstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Inna SmalleyThe Department of Cancer Physiology, The Moffitt Cancer Center & Research Institute, Tampa, Florida.ORCID 0000-0002-6796-9145
Keiran S M SmalleyThe Department of Tumor Biology, The Moffitt Cancer Center & Research Institute, Tampa, Florida.ORCID 0000-0003-1089-9307
Moffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although immune checkpoint inhibition (ICI) has revolutionized the treatment of advanced melanoma, reliable predictive biomarkers are still lacking. In this issue of Cancer Research, Antoranz and colleagues used RNA sequencing and multiplexed IHC to study the spatial immune landscape of pretreatment melanoma specimens from patients who either responded or did not respond to antiprogrammed death protein 1 (PD-1) therapy. The authors identified the spatial interaction between cytotoxic T cells and M1-like macrophages expressing PD-L1 at the tumor boundary as predictive of responses to immune checkpoint inhibition. These studies pave the way for the development of new spatial biomarkers to identify patients most likely to benefit from ICI therapy. See related article by Antoranz et al., p. 3275.

Indexed as

MelanomaNeoplasms, Second PrimaryB7-H1 AntigenCell CommunicationHumansImmune Checkpoint InhibitorsImmunologic FactorsImmunotherapyProgrammed Cell Death 1 ReceptorB7-H1 AntigenImmune Checkpoint InhibitorsImmunologic FactorsProgrammed Cell Death 1 Receptor

Identifiers

PMID36111402
OpenAlexW4296035237

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.