Evidence map›Paper›PMID 38821717›Full record

ReviewJournal for immunotherapy of cancer2024

Spatially resolved tissue imaging to analyze the tumor immune microenvironment: beyond cell-type densities.

Alvaro Lopez Janeiro, Eduardo Miraval Wong, Daniel Jiménez-Sánchez, Carlos Ortiz de Solorzano, Maria D Lozano, Alvaro Teijeira, Kurt A Schalper, Ignacio Melero, Carlos E De Andrea

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

9 authors.

Alvaro Lopez JaneiroIdiSNA, Pamplona, Spain.ORCID http://orcid.org/0000-0002-5744-3115
Eduardo Miraval WongDepartment of Pathology, Clínica Universidad de Navarra, Pamplona, Spain.ORCID http://orcid.org/0000-0001-5406-4454
Daniel Jiménez-SánchezDepartment of Dermatology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Carlos Ortiz de SolorzanoProgram of Biomedical Engineering, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Maria D LozanoIdiSNA, Pamplona, Spain.
Alvaro TeijeiraIdiSNA, Pamplona, Spain.ORCID http://orcid.org/0000-0002-7339-4464
Kurt A SchalperPathology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID http://orcid.org/0000-0001-5692-4833
Ignacio MeleroIdiSNA, Pamplona, Spain.ORCID http://orcid.org/0000-0002-1360-348X
Carlos E De AndreaIdiSNA, Pamplona, Spain ceandrea@unav.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe tissue immune microenvironment is associated with key aspects of tumor biology. The interaction between the immune system and cancer cells has predictive and prognostic potential across different tumor types. Spatially resolved tissue-based technologies allowed researchers to simultaneously quantify different immune populations in tumor samples. However, bare quantification fails to harness the spatial nature of tissue-based technologies. Tumor-immune interactions are associated with specific spatial patterns that can be measured. In recent years, several computational tools have been developed to increase our understanding of these spatial patterns. TOPICS COVERED: In this review, we cover standard techniques as well as new advances in the field of spatial analysis of the immune microenvironment. We focused on marker quantification, spatial intratumor heterogeneity analysis, cell‒cell spatial interaction studies and neighborhood analyses.

Indexed as

NeoplasmsTumor MicroenvironmentAnimalsHumansBiomarkerImmune Checkpoint InhibitorTumor microenvironment - TME

Identifiers

PMID38821717
PMCPMC11149121

What OpenQuestion holds

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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.