Steroidal Oximes and Cervical Cancer: An In Silico Mechanistic Pathway Approach

Cervical cancer affects 661,000 women worldwide; as a result, new treatment alternatives are still being sought, with steroid oximes being the most prominent. However, the molecular targets where steroid oximes exert their anticancer activity remain unknown. In this study, reports of the activity in cell lines were obtained, and the targets associated with cervical cancer were identified using bioinformatics tools, based on two- and three-dimensional structural similarity analysis. Subsequently, molecular targets were analyzed via molecular docking using Schrödinger software v.2022-4 to determine their effects compared with reference drugs. Interrelated proteins and isolated proteins were observed, suggesting both the multi-target and single-target activity of steroid oximes. The analysis revealed that 60% of the 42 identified proteins had previously been reported in the literature and were associated with cervical cancer in processes related to cell proliferation, invasion, migration, and apoptosis. Among them, SRC, IGF1R, and MDM2 showed feasibility for multi-target interaction, which is consistent with the lower IC50 values reported for oximes in cervical cancer cell lines (HeLa and CaSki). This finding suggests that steroid oximes are multi-target molecules that can inhibit the proteins associated with cervical cancer, particularly through the IGF1R, MDM2, and SRC pathways related to cell proliferation and apoptosis, serving as a guideline for the future design of new steroidal oximes.

Authors

Institutions

Publication Details

Journal
Scientia Pharmaceutica
Published
2025-08-04
DOI
https://doi.org/10.3390/scipharm93030036
Primary Topic
Estrogen and related hormone effects
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Steroidal Oximes and Cervical Cancer: An In Silico Mechanistic Pathway Approach

Jesús Sandoval-Ramı́rez, Jorge Organista‐Nava, Berenice Illades‐Aguiar, Alan Carrasco‐Carballo et al.
Scientia Pharmaceutica
Estrogen and related hormone effects
article

Steroidal Oximes and Cervical Cancer: An In Silico Mechanistic Pathway Approach

Jesús Sandoval-Ramı́rez, Jorge Organista‐Nava, Berenice Illades‐Aguiar, Alan Carrasco‐Carballo, Carlos Antonio Sánchez-Valdeolivar
article en

Abstract

Cervical cancer affects 661,000 women worldwide; as a result, new treatment alternatives are still being sought, with steroid oximes being the most prominent. However, the molecular targets where steroid oximes exert their anticancer activity remain unknown. In this study, reports of the activity in cell lines were obtained, and the targets associated with cervical cancer were identified using bioinformatics tools, based on two- and three-dimensional structural similarity analysis. Subsequently, molecular targets were analyzed via molecular docking using Schrödinger software v.2022-4 to determine their effects compared with reference drugs. Interrelated proteins and isolated proteins were observed, suggesting both the multi-target and single-target activity of steroid oximes. The analysis revealed that 60% of the 42 identified proteins had previously been reported in the literature and were associated with cervical cancer in processes related to cell proliferation, invasion, migration, and apoptosis. Among them, SRC, IGF1R, and MDM2 showed feasibility for multi-target interaction, which is consistent with the lower IC50 values reported for oximes in cervical cancer cell lines (HeLa and CaSki). This finding suggests that steroid oximes are multi-target molecules that can inhibit the proteins associated with cervical cancer, particularly through the IGF1R, MDM2, and SRC pathways related to cell proliferation and apoptosis, serving as a guideline for the future design of new steroidal oximes.

Scientia PharmaceuticaVol. 93(3)
Universidad Autónoma de Guerrero (MX), Benemérita Universidad Autónoma de Puebla (MX)
Consejo Nacional de Ciencia y Tecnología
Openalex Percentile: Top 78%
Estrogen and related hormone effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.