Evidence map›Paper›PMID 33619294›Full record

ArticleScientific reports2021

Immune classification of clear cell renal cell carcinoma.

Sumeyye Su, Shaya Akbarinejad, Leili Shahriyari

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  6. Tumor-specific but immunosuppressive CD39Cell reports. Medicine · 2025
    Article
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  11. International journal of molecular sciences · 2024
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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

3 authors at 1 institution in 1 country.

Sumeyye SuDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA, USA.
Shaya AkbarinejadDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA, USA.
Leili ShahriyariDepartment of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA, USA. lshahriyari@umass.edu.
University of Massachusetts Amherst · US

Funding

Data-driven QSP software for personalized colon cancer treatmentR21CA242933 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI PAL, SUVRA, ROY, SOUVIK · 2019 to 2020
$547k
NCI NIH HHS R21 CA242933NIH HHS R21CA242933
6 · The paper itself

Abstract

Since the outcome of treatments, particularly immunotherapeutic interventions, depends on the tumor immune micro-environment (TIM), several experimental and computational tools such as flow cytometry, immunohistochemistry, and digital cytometry have been developed and utilized to classify TIM variations. In this project, we identify immune pattern of clear cell renal cell carcinomas (ccRCC) by estimating the percentage of each immune cell type in 526 renal tumors using the new powerful technique of digital cytometry. The results, which are in agreement with the results of a large-scale mass cytometry analysis, show that the most frequent immune cell types in ccRCC tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Saliently, unsupervised clustering of ccRCC primary tumors based on their relative number of immune cells indicates the existence of four distinct groups of ccRCC tumors. Tumors in the first group consist of approximately the same numbers of macrophages and CD8+ T-cells and and a slightly smaller number of CD4+ T cells than CD8+ T cells, while tumors in the second group have a significantly high number of macrophages compared to any other immune cell type (P-value [Formula: see text]). The third group of ccRCC tumors have a significantly higher number of CD8+ T-cells than any other immune cell type (P-value [Formula: see text]), while tumors in the group 4 have approximately the same numbers of macrophages and CD4+ T-cells and a significantly smaller number of CD8+ T-cells than CD4+ T-cells (P-value [Formula: see text]). Moreover, there is a high positive correlation between the expression levels of IFNG and PDCD1 and the percentage of CD8+ T-cells, and higher stage and grade of tumors have a substantially higher percentage of CD8+ T-cells. Furthermore, the primary tumors of patients, who are tumor free at the last time of follow up, have a significantly higher percentage of mast cells (P-value [Formula: see text]) compared to the patients with tumors for all groups of tumors except group 3.

Indexed as

Biomarkers, TumorDisease SusceptibilityCarcinoma, Renal CellFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryImmunophenotypingKidney NeoplasmsLymphocytes, Tumor-InfiltratingMaleNeoplasm GradingPrognosisTumor-Associated MacrophagesTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID33619294
PMCPMC7900197
OpenAlexW3133061713

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.