2021
DOI: 10.1158/2159-8290.cd-21-0260
|View full text |Cite
|
Sign up to set email alerts
|

Emerging Trends in Cancer Drug Discovery—From Drugging the “Undruggable” to Overcoming Resistance

Abstract: Technology advancement and the courage to challenge dogma have been key elements that have continuously shifted druggability limits. We illustrate this notion with several recent cancer drug-discovery examples, while also giving an outlook on the opportunities offered by newer modalities such as chemically induced proximity and direct targeting of RNA. Treatment resistance is a major impediment to the goal of durable effi cacy and cure, but the confl uence of new biological insights, novel drug modalities, and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
25
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 29 publications
(25 citation statements)
references
References 36 publications
0
25
0
Order By: Relevance
“…The paramount importance of K-RAS mutations in cancer has led to a prolonged effort to develop strategies to target this protein that however was considered to be undruggable due to its structural characteristics. However, the presence of a thiol group at Cys 12 of K-RAS G12C offered an opportunity to develop inhibitors against this specific mutant, which is present with a notable frequency in certain cancer types and specifically in NSCLC (6). Following this strategy, a new family of compounds aimed at targeting K-RAS G12C has been developed.…”
Section: Introductionmentioning
confidence: 99%
“…The paramount importance of K-RAS mutations in cancer has led to a prolonged effort to develop strategies to target this protein that however was considered to be undruggable due to its structural characteristics. However, the presence of a thiol group at Cys 12 of K-RAS G12C offered an opportunity to develop inhibitors against this specific mutant, which is present with a notable frequency in certain cancer types and specifically in NSCLC (6). Following this strategy, a new family of compounds aimed at targeting K-RAS G12C has been developed.…”
Section: Introductionmentioning
confidence: 99%
“…However, their highly similar catalytic structures make this task almost impossible for traditional inhibitors. Proximity-inducing drugs (Proxidrugs) regulating intracellular degradation of therapeutic targets have emerged as a possible strategy to treat a large number of cancers that have been considered non-treatable to date [130,131]. As USP28 and USP25 only share 51% of their structures [6], it may be possible to identify and characterize suitable ligands that specifically interact with USP28, to develop a novel generation of USP28 Proxidrug inhibitors.…”
Section: Inhibitors Of Usp28 For Scc Cancer Therapy: Progress and Perspectivementioning
confidence: 99%
“…Examples comprise trastuzumab or cetuximab against HER2 or EGFR, or vemurafenib against the BRAF V600 mutated protein [ 4 , 5 ]. Targeting non oncogenic druggable vulnerabilities have also shown clinical efficacy, for example using drugs acting against epigenetic components, or the tumor microenvironment, or when optimizing synthetic lethality interactions, where a classic example is the use of PARP inhibitors in tumors harboring BRCA1/2 mutations [ 6 8 ]. Beyond the druggability properties, inhibition of pan essential genes in tumor cells has shown preclinical and clinical activity, since those genes are involved in relevant biological functions, including cell cycle proliferation or transcription, among many other functions.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main limitations in drug development is the fact that most chemical agents act against the enzymatic activity of proteins, with very limited options for targeting oncoproteins without this activity [ 8 , 9 ]. Recently, degradation of targeted proteins using proteolysis targeting chimeras (PROTACs), has gain momentum [ 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%