Evidence map›Paper›PMID 34395287›Full record

ArticleFrontiers in oncology2021

Digital Pathology Scoring of Immunohistochemical Staining Reliably Identifies Prognostic Markers and Anatomical Associations in a Large Cohort of Oral Cancers.

Julius Moratin, Andreas Mock, Sonja Obradovic, Karl Metzger, Christa Flechtenmacher, Karim Zaoui, Stefan Fröhling, Dirk Jäger, Jürgen Krauss, Jürgen Hoffmann and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 5 institutions in 1 country.

Julius MoratinDepartment of Oral and Cranio-Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany.
Andreas MockDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.
Sonja ObradovicDepartment of Oral and Cranio-Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany.
Karl MetzgerDepartment of Oral and Cranio-Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany.
Christa FlechtenmacherInstitute of Pathology, University of Heidelberg, Heidelberg, Germany.
Karim ZaouiDepartment of Otorhinolaryngology, University of Heidelberg, Heidelberg, Germany.
Stefan FröhlingDepartment of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Dirk JägerDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.
Jürgen KraussDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.
Jürgen HoffmannDepartment of Oral and Cranio-Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany.
Kolja FreierDepartment of Oral and Maxillofacial Surgery, Saarland University, Homburg, Germany.
Dominik HornDepartment of Oral and Maxillofacial Surgery, Saarland University, Homburg, Germany.
Jochen HessDepartment of Otorhinolaryngology, University of Heidelberg, Heidelberg, Germany.
Christian FreudlspergerDepartment of Oral and Cranio-Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany.
Heidelberg University · DESaarland University · DEUniversity Hospital Heidelberg · DEGerman Cancer Research Center · DENational Center for Tumor Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilizing digital pathology algorithms for the objective quantification of immunohistochemical staining, this study aimed to identify robust prognostic biomarkers for oral cancer. Tissue microarrays with specimens of a large cohort of oral squamous cell carcinoma (n=222) were immunohistochemically stained to determine the expression of PD-L1, EGFR, and COX-2 and the amount of infiltrating NK cells and CD8-positive T cells. Immunoreactivity scores were assessed using both a classical manual scoring procedure and a digital semi-automatic approach using QuPath. Digital scoring was successful in quantifying the expression levels of different prognostic biomarkers (CD8: p<0.001; NK cells: p=0.002, PD-L1: p=0.026) and high levels of concordance with manual scoring results were observed. A combined score integrating EGFR expression, neck node status and immune cell signatures with a significant impact on overall and progression-free survival was identified (p<0.001). These data may contribute to the ongoing research on the identification of reliable and clinically relevant biomarkers for the individualization of primary and adjuvant treatment in oral cancer.

Indexed as

automatedbiomarkerhead and neck squamous cell carcinomaimmune cellsoral squamous cell carcinomaquantification

Identifiers

PMID34395287
PMCPMC8359738
OpenAlexW3184179269

What OpenQuestion holds

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LicenceCC BY
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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.