Evidence map›Paper›PMID 35884821›Full record

ArticleBiomedicines2022

Macrophage Phenotype in Combination with Tumor Microbiome Composition Predicts RCC Patients' Survival: A Pilot Study.

Olga V Kovaleva, Polina Podlesnaya, Maxim Sorokin, Valeria Mochalnikova, Vladimir Kataev, Yuriy A Khlopko, Andrey O Plotnikov, Ivan S Stilidi, Nikolay E Kushlinskii, Alexei Gratchev

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Microbiota and urinary tumor immunity: Mechanisms, therapeutic implications, and future perspectives.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  13. Article
  14. Article
  15. The microbiota and renal cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  16. Review
  17. Review
  18. Review
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

10 authors at 1 institution in 1 country.

Olga V KovalevaN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.ORCID 0000-0001-6132-9924
Polina PodlesnayaN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.ORCID 0000-0003-2312-5546
Maxim SorokinN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.ORCID 0000-0002-4665-4531
Valeria MochalnikovaN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.
Vladimir KataevInstitute for Cellular and Intracellular Symbiosis of the Ural Branch of the Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0002-4411-8620
Yuriy A KhlopkoInstitute for Cellular and Intracellular Symbiosis of the Ural Branch of the Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0002-2880-3214
Andrey O PlotnikovInstitute for Cellular and Intracellular Symbiosis of the Ural Branch of the Russian Academy of Sciences, 460000 Orenburg, Russia.ORCID 0000-0001-6830-4068
Ivan S StilidiN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.
Nikolay E KushlinskiiN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.
Alexei GratchevN.N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia.ORCID 0000-0003-2137-1866
Institute of Cellular and Intracellular Symbiosis · RU

Funding

Russian Science Foundation 22-25-00082
6 · The paper itself

Abstract

The identification of new prognostic markers of renal cell carcinoma (RCC) is an urgent problem in oncourology. To investigate the potential prognostic significance of tumor microbiome and stromal inflammatory markers, we studied a cohort of 66 patients with RCC (23 clear cell RCC, 19 papillary RCC and 24 chromophobe RCC). The microbiome was analyzed in tumor and normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was performed using immunohistochemistry. A significant difference in alpha diversity was demonstrated between normal kidney tissue and all types of RCC. Further, we demonstrated that the bacterial burden was higher in adjacent normal tissue than in a tumor. For the first time, we demonstrated a significant correlation between bacterial burden and the content of PU.1+ macrophages and CD66b+ neutrophils in kidney tumors. Tumors with high content of PU.1+ cells and CD66b+ cells in the stroma were characterized by a lower bacterial burden. In the tumors with high bacterial burden, the number of PU.1+ cells and CD66b+ was associated with a poor prognosis. The identified associations indicate the great prognostic potential of a combined tumor microbiome and stromal cell analysis.

Indexed as

macrophagemicrobiomeprognosisPU.1renal cell carcinomastroma

Identifiers

PMID35884821
PMCPMC9312790
OpenAlexW4283655388

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.