Evidence map›Paper›PMID 32125790›Full record

ArticleJournal of cachexia, sarcopenia and muscle2020

The expression landscape of cachexia-inducing factors in human cancers.

Paula Paccielli Freire, Geysson Javier Fernandez, Diogo de Moraes, Sarah Santiloni Cury, Maeli Dal Pai-Silva, Patrícia Pintor Dos Reis, Silvia Regina Rogatto, Robson Francisco Carvalho

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.7field-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

48 citing papers in PubMed, 80 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Paula Paccielli FreireDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.ORCID 0000-0003-0649-8279
Geysson Javier FernandezDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.
Diogo de MoraesDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.
Sarah Santiloni CuryDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.ORCID 0000-0002-4803-0933
Maeli Dal Pai-SilvaDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.ORCID 0000-0001-7269-9197
Patrícia Pintor Dos ReisDepartment of Surgery and Orthopedics, Faculty of Medicine, São Paulo State University, UNESP, Botucatu, Brazil.ORCID 0000-0003-3775-3797
Silvia Regina RogattoDepartment of Clinical Genetics, University Hospital, Institute of Regional Health Research, University of Southern Denmark, Vejle, Denmark.ORCID 0000-0003-4637-5687
Robson Francisco CarvalhoDepartment of Structural and Functional Biology, Institute of Biosciences, São Paulo State University, UNESP, Botucatu, Brazil.ORCID 0000-0002-4901-7714
Universidade Estadual Paulista (Unesp) · BRUniversidad de Antioquia · COUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCachexia is a multifactorial syndrome highly associated with specific tumour types, but the causes of variation in cachexia prevalence and severity are unknown. While circulating plasma mediators (soluble cachectic factors) derived from tumours have been implicated with the pathogenesis of the syndrome, these associations were generally based on plasma concentration rather than tissue-specific gene expression levels. Here, we hypothesized that tumour gene expression profiling of cachexia-inducing factors (CIFs) in human cancers with different prevalence of cachexia could reveal potential cancer-specific cachexia mediators and biomarkers of clinical outcome.

methodsFirst, we combined uniformly processed RNA sequencing data from The Cancer Genome Atlas and Genotype-Tissue Expression databases to characterize the expression profile of secretome genes in 12 cancer types (4651 samples) compared with their matched normal tissues (2737 samples). We systematically investigated the transcriptomic data to assess the tumour expression profile of 25 known CIFs and their predictive values for patient survival. We used the Xena Functional Genomics tool to analyse the gene expression of CIFs according to neoplastic cellularity in pancreatic adenocarcinoma, which is known to present the highest prevalence of cachexia.

resultsA comprehensive characterization of the expression profiling of secreted genes in different human cancers revealed pathways and mediators with a potential role in cachexia within the tumour microenvironment. Cytokine-related and chemokine-related pathways were enriched in tumour types frequently associated with the syndrome. CIFs presented a tumour-specific expression profile, in which the number of upregulated genes was correlated with the cachexia prevalence (r

conclusionsOur results present a biological dimension of tumour-secreted elements that are potentially useful to explain why specific cancer types are more likely to develop cachexia. The tumour-specific profile of CIFs may help the future development of better targeted therapies to treat cancer types highly associated with the syndrome.

Indexed as

CachexiaHumansNeoplasmsPrognosisSurvival AnalysisCachexia-inducing factorsCancer genomicsGTExOmicsPan-cancerTCGA

Identifiers

PMID32125790
PMCPMC7432594
OpenAlexW3009962865

What OpenQuestion holds

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LicenceCC BY-NC
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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.