Evidence map›Paper›PMID 36604669›Full record

ArticleCancer cell international2023

Coordinated reprogramming of renal cancer transcriptome, metabolome and secretome associates with immune tumor infiltration.

Piotr Poplawski, Saleh Alseekh, Urszula Jankowska, Bozena Skupien-Rabian, Roksana Iwanicka-Nowicka, Helena Kossowska, Anna Fogtman, Beata Rybicka, Joanna Bogusławska, Anna Adamiok-Ostrowska and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 26 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

15 authors at 5 institutions in 3 countries.

Piotr PoplawskiDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Saleh AlseekhMax-Planck Institute of Molecular Plant Physiology, Golm, 14476, Potsdam, Germany.
Urszula JankowskaProteomics and Mass Spectrometry Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Bozena Skupien-RabianProteomics and Mass Spectrometry Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Roksana Iwanicka-NowickaLaboratory of Systems Biology, Faculty of Biology, University of Warsaw, 02-106, Warsaw, Poland.
Helena KossowskaLaboratory of Systems Biology, Faculty of Biology, University of Warsaw, 02-106, Warsaw, Poland.
Anna FogtmanLaboratory for Microarray Analysis, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, 02-106, Warsaw, Poland.
Beata RybickaDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Joanna BogusławskaDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Anna Adamiok-OstrowskaDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Karolina HanusekDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Jan HanusekDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Marta KoblowskaLaboratory of Systems Biology, Faculty of Biology, University of Warsaw, 02-106, Warsaw, Poland.
Alisdair R FernieMax-Planck Institute of Molecular Plant Physiology, Golm, 14476, Potsdam, Germany.
Agnieszka Piekiełko-WitkowskaDepartment of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland. apiekielko@cmkp.edu.pl.
Postgraduate School of Molecular Medicine · PLInstitute of Biochemistry and Biophysics, Polish Academy of Sciences · PLJagiellonian University · PLMax Planck Institute of Molecular Plant Physiology · DEUniversity of Warsaw · PL

Funding

National Science Center, Poland 2018/29/B/NZ5/01211
6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer. The molecules (proteins, metabolites) secreted by tumors affect their extracellular milieu to support cancer progression. If secreted in amounts detectable in plasma, these molecules can also serve as useful, minimal invasive biomarkers. The knowledge of ccRCC tumor microenvironment is fragmentary. In particular, the links between ccRCC transcriptome and the composition of extracellular milieu are weakly understood. In this study, we hypothesized that ccRCC transcriptome is reprogrammed to support alterations in tumor microenvironment. Therefore, we comprehensively analyzed ccRCC extracellular proteomes and metabolomes as well as transcriptomes of ccRCC cells to find molecules contributing to renal tumor microenvironment.

methodsProteomic and metabolomics analysis of conditioned media isolated from normal kidney cells as well as five ccRCC cell lines was performed using mass spectrometry, with the following ELISA validation. Transcriptomic analysis was done using microarray analysis and validated using real-time PCR. Independent transcriptomic and proteomic datasets of ccRCC tumors were used for the analysis of gene and protein expression as well as the level of the immune infiltration.

resultsRenal cancer secretome contained 85 proteins detectable in human plasma, consistently altered in all five tested ccRCC cell lines. The top upregulated extracellular proteins included SPARC, STC2, SERPINE1, TGFBI, while downregulated included transferrin and DPP7. The most affected extracellular metabolites were increased 4-hydroxy-proline, succinic acid, cysteine, lactic acid and downregulated glutamine. These changes were associated with altered expression of genes encoding the secreted proteins (SPARC, SERPINE1, STC2, DPP7), membrane transporters (SLC16A4, SLC6A20, ABCA12), and genes involved in protein trafficking and secretion (KIF20A, ANXA3, MIA2, PCSK5, SLC9A3R1, SYTL3, and WNTA7). Analogous expression changes were found in ccRCC tumors. The expression of SPARC predicted the infiltration of ccRCC tumors with endothelial cells. Analysis of the expression of the 85 secretome genes in > 12,000 tumors revealed that SPARC is a PanCancer indicator of cancer-associated fibroblasts' infiltration.

conclusionsTranscriptomic reprogramming of ccRCC supports the changes in an extracellular milieu which are associated with immune infiltration. The proteins identified in our study represent valuable cancer biomarkers detectable in plasma.

Indexed as

CAFsImmune infiltrationMetabolomeRenal cancerSecretomeSPARC

Identifiers

PMID36604669
PMCPMC9814214
OpenAlexW4313563698

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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.