Evidence map›Paper›PMID 33633208›Full record

ArticleScientific reports2021

Identification of distinct immune landscapes using an automated nine-color multiplex immunofluorescence staining panel and image analysis in paraffin tumor tissues.

Edwin R Parra, Jie Zhai, Auriole Tamegnon, Nicolas Zhou, Renganayaki Krishna Pandurengan, Carmelia Barreto, Mei Jiang, David C Rice, Caitlin Creasy, Ara A Vaporciyan and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Comparison of QuPath and HALO Platforms for Analysis of the Tumor Microenvironment in Prostate Cancer.Laboratory investigation; a journal of technical methods and pathology · 2025
    Article
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  12. Wanted: Dead or Alive Cells with Propidium Iodide Staining in Liver Tissue.International journal of molecular sciences · 2024
    Article
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  18. Correlation of microscopic tumor extension with tumor microenvironment in esophageal cancer patients.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024
    Article
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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

15 authors at 1 institution in 1 country.

Edwin R ParraDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA. erparra@mdanderson.org.
Jie ZhaiDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
Auriole TamegnonDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
Nicolas ZhouDepartments of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Renganayaki Krishna PandurenganDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
Carmelia BarretoDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
Mei JiangDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
David C RiceDepartments of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Caitlin CreasyMelanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ara A VaporciyanDepartments of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Wayne L HofstetterDepartments of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Anne S TsaoThoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ignacio I WistubaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
Boris SepesiDepartments of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Cara HaymakerDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Unit 9512130 Holcombe Blvd, Houston, TX, 77030, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
Translational Cancer Immune Monitoring and Analysis Center (TCIMAC)U24CA224285 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Gheath Al-Atrash, Cara L Haymaker · 2017 to 2026
$16.7M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA070907NCI NIH HHS U24 CA224285
6 · The paper itself

Abstract

Immune profiling is becoming a vital tool for identifying predictive and prognostic markers for translational studies. The study of the tumor microenvironment (TME) in paraffin tumor tissues such as malignant pleural mesothelioma (MPM) could yield insights to actionable targets to improve patient outcome. Here, we optimized and tested a new immune-profiling method to characterize immune cell phenotypes in paraffin tissues and explore the co-localization and spatial distribution between the immune cells within the TME and the stromal or tumor compartments. Tonsil tissues and tissue microarray (TMA) were used to optimize an automated nine-color multiplex immunofluorescence (mIF) panel to study the TME using eight antibodies: PD-L1, PD-1, CD3, CD8, Foxp3, CD68, KI67, and pancytokeratin. To explore the potential role of the cells into the TME with this mIF panel we applied this panel in twelve MPM cases to assess the multiple cell phenotypes obtained from the image analysis and well as their spatial distribution in this cohort. We successful optimized and applied an automated nine-color mIF panel to explore a small set of MPM cases. Image analysis showed a high degree of cell phenotype diversity with immunosuppression patterns in the TME of the MPM cases. Mapping the geographic cell phenotype distribution in the TME, we were able to identify two distinct, complex immune landscapes characterized by specific patterns of cellular distribution as well as cell phenotype interactions with malignant cells. Successful we showed the optimization and reproducibility of our mIF panel and their incorporation for comprehensive TME immune profiling into translational studies that could refine our ability to correlate immunologic phenotypes with specific patterns of cells distribution and distance analysis. Overall, this will improve our ability to understand the behavior of cells within the TME and predict new treatment strategies to improve patient outcome.

Indexed as

Biomarkers, TumorCohort StudiesComputational BiologyData Interpretation, StatisticalDisease SusceptibilityFluorescent Antibody TechniqueHumansImage Processing, Computer-AssistedImmunohistochemistryImmunophenotypingLymphocytes, Tumor-InfiltratingMesotheliomaNeoplasmsTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID33633208
PMCPMC7907283
OpenAlexW3130143514

What OpenQuestion holds

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LicenceCC BY
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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.