Evidence map›Paper›PMID 31560832›Full record

ArticleJournal of cellular and molecular medicine2019

SWATH-based proteomics reveals processes associated with immune evasion and metastasis in poor prognosis colorectal tumours.

Laura M López-Sánchez, Rafael Jiménez-Izquierdo, Jon Peñarando, Rafael Mena, Silvia Guil-Luna, Marta Toledano, Francisco Conde, Carlos Villar, César Díaz, Ignacio Ortea and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. 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
0.7field-weighted citation impact, top 36% 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, 20 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

13 authors at 2 institutions in 1 country.

Laura M López-SánchezInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0002-0763-1804
Rafael Jiménez-IzquierdoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0003-3200-4092
Jon PeñarandoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0001-6443-5204
Rafael MenaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0002-8303-3451
Silvia Guil-LunaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0001-7542-3903
Marta ToledanoInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0002-1997-9197
Francisco CondeInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0003-3143-6520
Carlos VillarUnidad de Gestión Clínica de Anatomía Patológica, Hospital Universitario Reina Sofía, Córdoba, Spain.
César DíazUnidad de Gestión Clínica de Cirugía General y del Aparato Digestivo, Hospital Universitario Reina Sofía, Córdoba, Spain.
Ignacio OrteaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0001-8917-5525
Juan R De la Haba-RodríguezInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0001-5111-1702
Enrique ArandaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0002-5471-2842
Antonio Rodríguez-ArizaInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.ORCID 0000-0001-5304-5745
Instituto Maimónides de Investigación Biomédica de Córdoba · ESHospital Universitario Reina Sofía · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newly emerged proteomic methodologies, particularly data-independent acquisition (DIA) analysis-related approaches, would improve current gene expression-based classifications of colorectal cancer (CRC). Therefore, this study was aimed to identify protein expression signatures using SWATH-MS DIA and targeted data extraction, to aid in the classification of molecular subtypes of CRC and advance in the diagnosis and development of new drugs. For this purpose, 40 human CRC samples and 7 samples of healthy tissue were subjected to proteomic and bioinformatic analysis. The proteomic analysis identified three different molecular CRC subtypes: P1, P2 and P3. Significantly, P3 subtype showed high agreement with the mesenchymal/stem-like subtype defined by gene expression signatures and characterized by poor prognosis and survival. The P3 subtype was characterized by decreased expression of ribosomal proteins, the spliceosome, and histone deacetylase 2, as well as increased expression of osteopontin, SERPINA 1 and SERPINA 3, and proteins involved in wound healing, acute inflammation and complement pathway. This was also confirmed by immunodetection and gene expression analyses. Our results show that these tumours are characterized by altered expression of proteins involved in biological processes associated with immune evasion and metastasis, suggesting new therapeutic options in the treatment of this aggressive type of CRC.

Indexed as

AgedBiomarkers, TumorColorectal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansImmune EvasionKaplan-Meier EstimateMaleMiddle AgedNeoplasm MetastasisPrognosisProteomeBiomarkers, TumorProteomecolorectal cancerimmune evasionmesenchymalmetastasisproteomicsSWATH

Identifiers

PMID31560832
PMCPMC6850959
OpenAlexW2975716501

What OpenQuestion holds

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LicenceCC BY
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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.