Evidence map›Paper›PMID 42180980›Full record

ReviewTranslational cancer research2026

Targeting "undruggable" cancer proteins: pharmacological challenges and emerging strategies.

Juan Luiz Coelho-Silva, Natália Sudan Parducci, Maria Fernanda Lopes Carvalho, Vahid Vahedian, Keli Lima, Bruna Oliveira de Almeida, João Agostinho Machado-Neto

Abstract readReview
In one paragraph

Review in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Juan Luiz Coelho-SilvaDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-8384-6551
Natália Sudan ParducciDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-1626-8821
Maria Fernanda Lopes CarvalhoDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9712-6050
Vahid VahedianDepartment of Internal Medicine, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7689-6320
Keli LimaDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-5498-7539
Bruna Oliveira de AlmeidaDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-5884-1975
João Agostinho Machado-NetoDepartment of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-2937-8109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision oncology has revolutionized cancer biology, yet a critical disconnect persists: many pivotal oncogenic drivers, such as MYC, KRAS, and transcription factors, remain 'undruggable' by conventional small molecules due to a lack of traditional ligand-binding pockets. Overcoming this barrier is an urgent clinical necessity. This review maps and analyzes six key innovative strategies that are redefining druggability: (I) targeted protein degradation [TPD; proteolysis-targeting chimeras (PROTACs) and molecular glues], which catalytically eliminates proteins via the ubiquitin-proteasome system; (II) protein-protein interaction (PPI) inhibitors, which block critical oncogenic interfaces; (III) nucleic acid-based therapies [small interfering RNA (siRNA), antisense oligonucleotides (ASOs), clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)], which modulate targets at the RNA or DNA level; (IV) covalent inhibitors, which form irreversible bonds with specific residues; (V) allosteric modulation, which exploits hidden or cryptic binding pockets; and (VI) artificial intelligence (AI), which accelerates discovery by predicting structures and designing novel molecules. For each modality, we discuss mechanistic principles, historical development, and clinical translation, highlighting success stories and persistent challenges. Finally, we synthesize these approaches into an integrated perspective, arguing that their future convergence, for example, using AI to design next-generation degraders or combining PPI inhibitors with immunotherapies, will be essential to overcome the limitations of any single approach and reshape the standard of care. This review argues that the paradigm of undruggability is being dismantled by a shift from simple occupancy-based inhibition to event-driven degradation, state-specific modulation, and root-cause genetic correction.

Indexed as

covalent inhibitorsprecision oncologyprotein-protein interaction inhibitors (PPI inhibitors)targeted protein degradation (TPD)Undruggable proteins

Identifiers

PMID42180980
PMCPMC13191032

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.