Evidence map›Paper›PMID 34618413›Full record

ArticleThe journal of pathology. Clinical research2022

Characterizing the tumor microenvironment in rare renal cancer histological types.

Naoise C Synnott, Maria Luana Poeta, Manuela Costantini, Ruth M Pfeiffer, Mengying Li, Yelena Golubeva, Scott Lawrence, Karun Mutreja, Carla Amoreo, Malgorzata Dabrowska and 10 more

Open access · goldAbstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2022. 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
2.3field-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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

20 authors at 8 institutions in 4 countries.

Naoise C Synnott *Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.ORCID 0000-0001-8331-1143
Maria Luana Poeta *Department of Bioscience, Biotechnology and Biopharmaceutics, University of Bari, Bari, Italy.ORCID 0000-0002-6364-727X
Manuela Costantini *Department of Urology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Mengying LiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Yelena GolubevaCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Scott LawrenceCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Karun MutrejaCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Carla AmoreoDepartment of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Malgorzata DabrowskaDepartment of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.ORCID 0000-0001-6212-6715
Giuseppe SimoneDepartment of Urology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Edoardo PescarmonaDepartment of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Petra LenzCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Mary OlanichCancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Maire DugganDepartment of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Vito Michele FazioLaboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy.
Michele GallucciDepartment of Urology, University of Rome, La Sapienza, Rome, Italy.
Steno SentinelliDepartment of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Maria Teresa LandiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Leidos (United States) · USNational Institutes of Health · USIstituti di Ricovero e Cura a Carattere Scientifico · ITNational Cancer Institute · MYCTI BioPharma (Italy) · ITSapienza University of Rome · ITUniversità Campus Bio-Medico · ITUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME), including immune cells, cancer-associated fibroblasts, endothelial cells, adjacent normal cells, and others, plays a crucial role in influencing tumor behavior and progression. Here, we characterized the TME in 83 primary renal tumors and matched metastatic or recurrence tissue samples (n = 15) from papillary renal cell carcinoma (pRCC) types 1 (n = 20) and 2 (n = 49), collecting duct carcinomas (CDC; n = 14), and high-grade urothelial carcinomas (HGUC; n = 5). We investigated 10 different markers of immune infiltration, vasculature, cell proliferation, and epithelial-to-mesenchymal transition by using machine learning image analysis in conjunction with immunohistochemistry. Marker expression was compared by Mann-Whitney and Kruskal-Wallis tests and correlations across markers using Spearman's rank correlation coefficient. Multivariable Poisson regression analysis was used to compare marker expression between histological types, while accounting for variation in tissue size. Several immune markers showed different rates of expression across histological types of renal carcinoma. Using pRCC1 as reference, the incidence rate ratio (IRR) of CD3+ T cells (IRR [95% confidence interval, CI] = 2.48 [1.53-4.01]) and CD20+ B cells (IRR [95% CI] = 4.38 [1.22-5.58]) was statistically significantly higher in CDC. In contrast, CD68+ macrophages predominated in pRCC1 (IRR [95% CI] = 2.35 [1.42-3.9]). Spatial analysis revealed CD3+ T-cell and CD20+ B-cell expressions in CDC to be higher at the proximal (p < 0.0001) and distal (p < 0.0001) tumor periphery than within the central tumor core. In contrast, expression of CD68+ macrophages in pRCC2 was higher in the tumor center compared to the proximal (p = 0.0451) tumor periphery and pRCC1 showed a distance-dependent reduction, from the central tumor, in CD68+ macrophages with the lowest expression of CD68 marker at the distal tumor periphery (p = 0.004). This study provides novel insights into the TME of rare kidney cancer types, which are often understudied. Our findings of differences in marker expression and localization by histological subtype could have implications for tumor progression and response to immunotherapies or other targeted therapies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorEndothelial CellsHumansTumor MicroenvironmentBiomarkers, Tumordigital pathologykidney cancerpapillary renal cell carcinomarare cancertumor microenvironment

Identifiers

PMID34618413
PMCPMC8682943
OpenAlexW3203678481

What OpenQuestion holds

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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.