Evidence map›Paper›PMID 30737470›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2019

Specific immune cell and lymphatic vessel signatures identified by image analysis in renal cancer.

Peter Schraml, Maria Athelogou, Thomas Hermanns, Ralf Huss, Holger Moch

Open access · bronzeAbstract read
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In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. The potential value of dual-energy CT radiomics in evaluating CD8Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
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  7. Review
  8. Review
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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 1 institution in 1 country.

Peter SchramlDepartment of Pathology and Molecular Pathology, University Hospital Zurich and University Zurich, Schmelzbergstrasse 12, CH-8091, Zurich, Switzerland.
Maria AthelogouDefiniens AG, Bernhard-Wicki-Str. 5, D-80636, Munich, Germany.
Thomas HermannsDepartment of Urology, University Hospital Zurich and University Zurich, Frauenklinikstrasse 10, CH-8091, Zurich, Switzerland.
Ralf HussDefiniens AG, Bernhard-Wicki-Str. 5, D-80636, Munich, Germany.
Holger MochDepartment of Pathology and Molecular Pathology, University Hospital Zurich and University Zurich, Schmelzbergstrasse 12, CH-8091, Zurich, Switzerland. holger.moch@usz.ch.
University Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-angiogenic therapy and immune checkpoint inhibition are novel treatment strategies for patients with renal cell carcinoma. Various components and structures of the tumor microenvironment are potential predictive biomarkers and also attractive treatment targets. Macrophages, tumor infiltrating lymphocytes, vascular and lymphatic vessels represent an important part of the tumor immune environment, but their functional phenotypes and relevance for clinical outcome are yet ill defined. We applied Tissue Phenomics methods including image analysis for the standardized quantification of specific components and structures within the tumor microenvironment to profile tissue sections from 56 clear cell renal cell carcinoma patients. A characteristic composition and unique spatial relationship of CD68+ macrophages and tumor infiltrating lymphocytes correlated with overall survival. An inverse relationship was found between vascular (CD34) and lymphatic vessel (LYVE1) density. In addition, outcome was significantly better in patients with high blood vessel density in the tumors, whereas increased lymphatic vessel density in the tumors was associated with worse outcome. The Tissue Phenomics imaging analysis approach allowed visualization and simultaneous quantification of immune environment components, adding novel contextual information, and biological insights with potential applications in treatment response prediction.

Indexed as

AgedCarcinoma, Renal CellFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryKidney NeoplasmsLymphatic VesselsLymphocytes, Tumor-InfiltratingMaleMiddle AgedTumor Microenvironment

Identifiers

PMID30737470
OpenAlexW2912807724

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.