Evidence map›Paper›PMID 38217840›Full record

ReviewClinical & experimental metastasis2024

Mapping the single cell spatial immune landscapes of the melanoma microenvironment.

Jamie Magrill, Dan Moldoveanu, Jiayao Gu, Mathieu Lajoie, Ian R Watson

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical & experimental metastasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Jamie MagrillRosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.ORCID 0000-0003-0124-7323
Dan MoldoveanuRosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.ORCID 0000-0002-1191-9798
Jiayao GuDepartment of Human Genetics, McGill University, Montréal, QC, Canada.ORCID 0009-0002-2471-4465
Mathieu LajoieRosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.ORCID 0000-0001-9162-086X
Ian R WatsonRosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada. ian.watson2@mcgill.ca.ORCID 0000-0002-6025-3080
McGill University Health Centre · CAMcGill University · CA

Funding

Canada Research Chairs Program; Canadian Institute of Health Research CIHR - Grant # PJT-178341, PJT-180496, PJT 186002
6 · The paper itself

Abstract

Melanoma is a highly immunogenic malignancy with an elevated mutational burden, diffuse lymphocytic infiltration, and one of the highest response rates to immune checkpoint inhibitors (ICIs). However, over half of all late-stage patients treated with ICIs will either not respond or develop progressive disease. Spatial imaging technologies are being increasingly used to study the melanoma tumor microenvironment (TME). The goal of such studies is to understand the complex interplay between the stroma, melanoma cells, and immune cell-types as well as their association with treatment response. Investigators seeking a better understanding of the role of cell location within the TME and the importance of spatial expression of biomarkers are increasingly turning to highly multiplexed imaging approaches to more accurately measure immune infiltration as well as to quantify receptor-ligand interactions (such as PD-1 and PD-L1) and cell-cell contacts. CyTOF-IMC (Cytometry by Time of Flight - Imaging Mass Cytometry) has enabled high-dimensional profiling of melanomas, allowing researchers to identify complex cellular subpopulations and immune cell interactions with unprecedented resolution. Other spatial imaging technologies, such as multiplexed immunofluorescence and spatial transcriptomics, have revealed distinct patterns of immune cell infiltration, highlighting the importance of spatial relationships, and their impact in modulating immunotherapy responses. Overall, spatial imaging technologies are just beginning to transform our understanding of melanoma biology, providing new avenues for biomarker discovery and therapeutic development. These technologies hold great promise for advancing personalized medicine to improve patient outcomes in melanoma and other solid malignancies.

Indexed as

MelanomaTumor MicroenvironmentBiomarkers, TumorHumansImmune Checkpoint InhibitorsLymphocytes, Tumor-InfiltratingSingle-Cell AnalysisSkin NeoplasmsBiomarkers, TumorImmune Checkpoint InhibitorsCyTOF-IMCImmune checkpoint inhibitorsMelanomaSpatial imagingSpatial transcriptomicsTumor microenvironment

Identifiers

PMID38217840
PMCPMC11374855
OpenAlexW4390839373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.