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Analysis of institutional authors

Larranaga, PedroAuthor

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June 9, 2019
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Identification of a biomarker panel for colorectal cancer diagnosis

Publicated to: BMC CANCER. 12 (43): 43- - 2012-01-26 12(43), DOI: 10.1186/1471-2407-12-43

Authors:

García-Bilbao, A; Armañanzas, R; Ispizua, Z; Calvo, B; Alonso-Varona, A; Inza, I; Larrañaga, P; López-Vivanco, G; Suárez-Merino, B; Betanzos, M
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Affiliations

GAIKER Technol Ctr, Zamudio 48170, Bizkaia, Spain - Author
Hosp Cruces, Med Oncol Serv, Baracaldo 48903, Bizkaia, Spain - Author
Univ Basque Country, Fac Comp Sci, Dept Comp Sci & Artificial Intelligence, San Sebastian 20018, Gipuzkoa, Spain - Author
Univ Basque Country, Sch Med & Dent, Dept Cell Biol & Histol, Leioa 48940, Bizkaia, Spain - Author
Univ Politecn Madrid, Dept Inteligencia Artificial, Computat Intelligence Grp, Boadilla Del Monte 28660, Spain - Author
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Abstract

Background: Malignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries. Methods: A genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60-mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables. Results: After an exhaustive process of pre-processing to ensure data quality-lost values imputation, probes quality, data smoothing and intraclass variability filtering-the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples. Conclusions: We have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955).
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Keywords

CellsGene-expressionGuidelinesIssuesMicroarraysNetworkOccult-blood-testsProteinSurveillanceUnited-states

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal BMC CANCER due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Oncology.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • Google Scholar: 67
  • WoS: 41
  • Scopus: 43
  • Europe PMC: 19
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 82.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 81 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 12.
  • The number of mentions on the social network X (formerly Twitter): 4 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/13937/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 481
  • Downloads: 317
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Awards linked to the item

The authors are grateful to all the patients for their participation. This work was supported by the Etortek and Saiotek 2003-2007 programs (Basque Government). AGB was supported by Fundacion Inaki Goenaga Fellowship for graduate studies. RA was supported by the Spanish Ministry of Science and Innovation through a Juan de la Cierva postdoctoral fellowship, TIN2010-20900-C04-04 and the Cajal Blue Brain Project. BC was supported by the Spanish Ministry of Health (Miguel Servet 03/0062). II was supported by the Spanish Ministry of Science and Innovation (TIN2010-14931) and COMBIOMED network of the Carlos III Institute.
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