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Association between coping of the primary caregiver and the adolescent patient with cancer
(Springer Science and Business Media, 2025)
Villanueva Leonel, Jaramillo
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Rendón-Macías, Mario Enrique
;
Ríos Covian, Ana
Background: Coping mechanisms help individuals face adversity, remain stable over time, and can be generalized to various circumstances. Two types are typically distinguished: the active style, aimed at resolving problems, and the passive style, focused on emotional regulation. We hypothesized that passive coping of the primary caregiver (hereafter, primary caregiver [PC]) would affect the adaptive coping of his or her adolescent child with cancer (hereafter, adolescent with cancer [AC]). Objective: To analyze coping styles in adolescents with cancer (ACs) and their primary caregivers (PCs). Materials and methods: This was an analytical cross-sectional study including 116 pairs of an adolescent with cancer (AC) and a primary caregiver (PC). The adolescents completed the Adolescent Coping Scale (ACS), applicable to those aged 9–17 years, while the caregivers completed the Coping Strategies Inventory (CSI). Results: 49% (57/116) of the pairs both used the active coping style, and 14% showed the passive style in both members. No agreement was found between the coping styles of the AC and PC (Kappa = 0.15, 95% confidence interval [CI]: 0.13–0.14, p = 0.13). The multivariate analysis explained 61% of the variance (Nagelkerke pseudo R2 = 0.61; likelihood ratio = 191.4; p = 0.003). Conclusions: Passive coping by the primary caregiver occurred with low frequency, and active coping was favored, similar to that of the adolescent with cancer. ©The authors ©Springer Science and Business Media © BMC Primary Care.
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Ibervillea sonorae (S. Watson) Green a potential resource of bioactive compounds: Systematic analysis of a Mexican plant used in traditional medicine
(Elsevier, 2025)
Angulo Molina, Aracely
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Cristofaro, Valeria di
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Pieles, Uwe
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López Romero, Julio César
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Vidal Gutiérrez, Max
Ibervillea sonorae (S. Watson) Green (Cucurbitaceae) is a tuber succulent known as “wareke,” which grows in dry desert landscapes in northwestern Mexico and the southwestern United States. Indigenous tribes use I. sonorae as a remedy against cancer, inflammation, rheumatism, skin infections, and diabetes. The great popularity of wareke in traditional medicine has motivated various working groups to investigate its pharmacological properties. The antiproliferative, antitumoral, antifungal, hypoglycemic, antiinflammatory, antioxidant, and antimicrobial potential of this plant has been established. Chemical studies showed that I. sonorae is a potential resource of bioactive compounds, cucurbitacin-type triterpenoids, and phytosterols, the main secondary metabolites. The objective of this chapter is to systematically analyze the phytochemical knowledge of the plant (isolated and identified compounds), describe the biological activities of different extracts, isolated ingredients, and phytopreparations, and discuss their possible applications. ©The authors © 2025 Elsevier Inc.
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Prevalencia de anticuerpos contra SARS-CoV-2 en pacientes con cáncer y trabajadores de la salud vacunados con dos dosis de BNT162b2 o AZD122. Análisis de propensión
(2023)
Villaseñor-Echavarri, Rodrigo
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Rosa-Martínez, Daniel De la
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Frías-Jiménez, Emmanuel
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Martin-Onraet, Alexandra
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Cruz-Cruz, Alonso
Background: Vaccination is the most effective intervention for reducing the burden of SARS-CoV-2-related disease; however, gaps in knowledge regarding cancer patients (CPs) immune response persist. Objectives: To evaluate the humoral response (anti-S antibodies) in CPs and healthcare workers (HCWs) vaccinated with two doses of BNT162b2 or AZD122 vaccines. Material and methods: Polyspecific anti-SARS-CoV-2 spike protein (anti-S) antibodies were quantified, and a 1:1 propensity score was used to balance baseline characteristics. Multiple logistic regressions were carried out to evaluate the effect of humoral response-related variables.
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A Novel Network Science and Similarity-Searching-Based Approach for Discovering Potential Tumor-Homing Peptides from Antimicrobials
(2022)
Romero, Maylin
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Rodríguez, Hortensia
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Agüero-Chapin, Guillermin
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Antunes, Agostinho
Peptide-based drugs are promising anticancer candidates due to their biocompatibility and low toxicity. In particular, tumor-homing peptides (THPs) have the ability to bind specifically to cancer cell receptors and tumor vasculature. Despite their potential to develop antitumor drugs, there are few available prediction tools to assist the discovery of new THPs. Two webservers based on machine learning models are currently active, the TumorHPD and the THPep, and more recently the SCMTHP. Herein, a novel method based on network science and similarity searching implemented in the starPep toolbox is presented for THP discovery. The approach leverages from exploring the structural space of THPs with Chemical Space Networks (CSNs) and from applying centrality measures to identify the most relevant and non-redundant THP sequences within the CSN. Such THPs were considered as queries (Qs) for multi-query similarity searches that apply a group fusion (MAX-SIM rule) model. The resulting multi-query similarity searching models (SSMs) were validated with three benchmarking datasets of THPs/non-THPs. The predictions achieved accuracies that ranged from 92.64 to 99.18% and Matthews Correlation Coefficients between 0.894–0.98, outperforming state-of-the-art predictors. The best model was applied to repurpose AMPs from the starPep database as THPs, which were subsequently optimized for the TH activity. Finally, 54 promising THP leads were discovered, and their sequences were analyzed to encounter novel motifs. These results demonstrate the potential of CSNs and multi-query similarity searching for the rapid and accurate identification of THPs.
Scopus© Citations 12 20 1

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