Manuel Benavides
Overview
Explore the profile of Manuel Benavides including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
40
Citations
2233
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Benavides M, Diaz-Rubio E, Carrato A, Abad A, Guillen C, Garcia-Alfonso P, et al.
ESMO Open
. 2019 Dec;
4(6):e000599.
PMID: 31803504
Purpose: Metastatic colorectal cancer (mCRC) is a group of distinct diseases, with clinical and molecular differences between right-sided and left-sided tumours driving varying prognosis. Methods: Patients with /-wild type (wt)...
12.
Willis J, Lefterova M, Artyomenko A, Kasi P, Nakamura Y, Mody K, et al.
Clin Cancer Res
. 2019 Aug;
25(23):7035-7045.
PMID: 31383735
Purpose: To analytically and clinically validate microsatellite instability (MSI) detection using cell-free DNA (cfDNA) sequencing. Experimental Design: Pan-cancer MSI detection using Guardant360 was analytically validated according to established guidelines and...
13.
Vivancos A, Aranda E, Benavides M, Elez E, Gomez-Espana M, Toledano M, et al.
Sci Rep
. 2019 Jun;
9(1):8976.
PMID: 31222012
KRAS mutations are common in colorectal cancer (CRC). In this setting, mutation status determination in circulating-free DNA from blood samples (liquid biopsy) has been shown to be a viable alternative...
14.
Perez-Beteta J, Molina-Garcia D, Martinez-Gonzalez A, Henares-Molina A, Amo-Salas M, Luque B, et al.
Eur Radiol
. 2018 Dec;
29(5):2729.
PMID: 30547198
The original version of this article, published on 15 October 2018, unfortunately contained a mistake. The following correction has therefore been made in the original: The name of Mariano Amo-Salas...
15.
Garcia-Foncillas J, Tabernero J, Elez E, Aranda E, Benavides M, Camps C, et al.
Br J Cancer
. 2018 Nov;
119(12):1464-1470.
PMID: 30467411
Background: Liquid biopsy offers a minimally invasive alternative to tissue-based evaluation of mutational status in cancer. The goal of the present study was to evaluate the aggregate performance of OncoBEAM...
16.
Rivera F, Benavides M, Gallego J, Guillen-Ponce C, Lopez-Martin J, Kung M
Pancreatology
. 2018 Nov;
19(1):64-72.
PMID: 30396819
Background: Tumor Treating Fields (TTFields), low intensity alternating electric fields with antimitotic activity, have demonstrated survival benefit in patients with glioblastoma. This phase 2 PANOVA study was conducted to examine...
17.
Perez-Beteta J, Molina-Garcia D, Martinez-Gonzalez A, Henares-Molina A, Amo-Salas M, Luque B, et al.
Eur Radiol
. 2018 Oct;
29(4):1968-1977.
PMID: 30324390
Objectives: We wished to determine whether tumor morphology descriptors obtained from pretreatment magnetic resonance images and clinical variables could predict survival for glioblastoma patients. Methods: A cohort of 404 glioblastoma...
18.
Garcia-Alfonso P, Benavides M, Falco E, Munoz A, Gomez A, Sastre J, et al.
Oncologist
. 2018 Aug;
23(11):1271-e128.
PMID: 30120161
Lessons Learned: RAS- or BRAF-mutated metastatic colorectal cancers (mCRCs) progressing after first-line treatment have a poor prognosis.European and U.S. guidelines include the multikinase inhibitor regorafenib as a standard option for...
19.
Perez-Beteta J, Molina-Garcia D, Ortiz-Alhambra J, Fernandez-Romero A, Luque B, Arregui E, et al.
Radiology
. 2018 Jun;
288(1):218-225.
PMID: 29924716
Purpose To evaluate the prognostic and predictive value of surface-derived imaging biomarkers obtained from contrast material-enhanced volumetric T1-weighted pretreatment magnetic resonance (MR) imaging sequences in patients with glioblastoma multiforme. Materials...
20.
Irigoyen A, Jimenez-Luna C, Benavides M, Caba O, Gallego J, Ortuno F, et al.
PLoS One
. 2018 Apr;
13(4):e0194844.
PMID: 29617451
Applying differentially expressed genes (DEGs) to identify feasible biomarkers in diseases can be a hard task when working with heterogeneous datasets. Expression data are strongly influenced by technology, sample preparation...