Martinez-Bernabe Toni, Morla-Barcelo Pere Miquel, Melguizo-Salom Lucas, Munar-Gelabert Margalida, Maroto-Blasco Alba, Torrens-Mas Margalida, Oliver Jordi, Roca Pilar, Nadal-Serrano Mercedes, Pons Daniel Gabriel, Sastre-Serra Jorge
Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, 07122 Palma de Mallorca, Spain.
Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, 07120 Palma de Mallorca, Spain.
Biology (Basel). 2024 Sep 15;13(9):724. doi: 10.3390/biology13090724.
Chemoresistance remains a major challenge in the treatment of breast and colorectal cancer. For this reason, finding reliable predictive biomarkers of response to chemotherapy has become a significant research focus in recent years. However, validating in vitro results may be problematic due to the outcome heterogeneity. In this study, we evaluate the use of tumorspheres as an in vitro model for validating biomarkers of chemoresistance in breast and colorectal cancer. Our investigation highlights the crucial role of inflammation-related pathways in modulating the response to chemotherapy. Using in silico approaches, we identified specific markers elevated in responders versus non-responders patients. These markers were consistently higher in three-dimensional (3D) tumorsphere models compared to traditional adherent cell culture models. Furthermore, the number of tumorspheres from breast and colorectal cancer cells increased in response to cisplatin and oxaliplatin treatment, respectively, whereas cell viability decreased in adherent cell culture. This differential response underscores the importance of the 3D tumorsphere model in mimicking the tumor microenvironment more accurately than adherent cell culture. The enhanced chemoresistance observed in the 3D tumorspheres model and their correlation of data with the in silico study suggest that 3D culture models are a better option to approach the in vivo model and also to validate in silico data. Our findings indicate that tumorspheres are an ideal model for validating chemoresistance biomarkers and exploring the interplay between inflammation and chemoresistance in breast and colon cancer.
化疗耐药仍然是乳腺癌和结直肠癌治疗中的一个主要挑战。因此,寻找可靠的化疗反应预测生物标志物已成为近年来的一个重要研究重点。然而,由于结果的异质性,体外实验结果的验证可能存在问题。在本研究中,我们评估了肿瘤球作为体外模型在验证乳腺癌和结直肠癌化疗耐药生物标志物方面的应用。我们的研究突出了炎症相关通路在调节化疗反应中的关键作用。通过计算机模拟方法,我们确定了反应者与无反应者患者中升高的特定标志物。与传统的贴壁细胞培养模型相比,这些标志物在三维(3D)肿瘤球模型中始终更高。此外,乳腺癌和结直肠癌细胞的肿瘤球数量分别因顺铂和奥沙利铂治疗而增加,而贴壁细胞培养中的细胞活力则下降。这种差异反应强调了3D肿瘤球模型在比贴壁细胞培养更准确地模拟肿瘤微环境方面的重要性。在3D肿瘤球模型中观察到的增强的化疗耐药性及其数据与计算机模拟研究的相关性表明,3D培养模型是接近体内模型并验证计算机模拟数据的更好选择。我们的研究结果表明,肿瘤球是验证化疗耐药生物标志物以及探索乳腺癌和结肠癌中炎症与化疗耐药之间相互作用的理想模型。