Literature DB >> 35151155

Treatment-driven tumour heterogeneity and drug resistance: Lessons from solid tumours.

Stefania Crucitta1, Federico Cucchiara1, Ron Mathijssen2, Joaquin Mateo3, Agnes Jager2, Arjen Joosse2, Antonio Passaro4, Ilaria Attili4, Iacopo Petrini5, Ron van Schaik6, Romano Danesi7, Marzia Del Re1.   

Abstract

Molecular heterogeneity characterizes tumours' evolution and adaptation and, because of its dynamics and continuous changes under external pressure, it is one of the major causes of drug resistance, contributing to therapy failure. Several studies reported evidence of molecular events occuring in individual tumours, including monoclonal or polyclonal resistance, and primary or secondary resistance mechanisms. While primary resistance is a phenomenon already present at the diagnosis of a tumor, the acquired one is strongly related to the selective pressure of treatments administered. Therefore, the pharmacological characteristics of a drug, including its potency, binding affinity and structure, largely influence the mechanism of resistance that will arise at the progression of the disease. As an example, the lung cancer experience clearly demonstrated that the highest is the potency of a drug on its target, the more are the possibilities that the mechanism of resistance will arise independently of the target itself. The present review is focused on tumour heterogeneity and its relation to resistance to targeted-therapy, based on treatment selective pressure across different tumour types, including lung, colorectal, prostate, breast cancer and melanoma. The mechanisms of resistance based on the drug potency and the selective pressure of treatments are discussed, leading to new drug developments or new therapeutic combinations.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CRC; CRPC; Melanoma; NSCLC; Resistance to treatment; Tumour heterogeneity; mBC

Mesh:

Year:  2022        PMID: 35151155     DOI: 10.1016/j.ctrv.2022.102340

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  3 in total

1.  New classification for advanced breast cancer patients experiencing disease progression during salvage treatment: a single-center retrospective cohort study.

Authors:  Jiahuai Wen; Liping Ren; Wenxia Li; Junhong Li; Lezhen Huang; Zhongyu Yuan; Qianjun Chen
Journal:  Ann Transl Med       Date:  2022-05

Review 2.  miR-199a: A Tumor Suppressor with Noncoding RNA Network and Therapeutic Candidate in Lung Cancer.

Authors:  Wei Meng; Yanli Li; Binshu Chai; Xiaomin Liu; Zhongliang Ma
Journal:  Int J Mol Sci       Date:  2022-07-31       Impact factor: 6.208

Review 3.  Ultrasonic Microbubble Cavitation Enhanced Tissue Permeability and Drug Diffusion in Solid Tumor Therapy.

Authors:  Jide He; Zenan Liu; Xuehua Zhu; Haizhui Xia; Huile Gao; Jian Lu
Journal:  Pharmaceutics       Date:  2022-08-06       Impact factor: 6.525

  3 in total

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