Evidence map›Paper›PMID 42806361›Full record

ReviewExperimental hematology & oncology2026

Daraxonrasib and the era of pan-RAS inhibition: mechanisms, clinical advances, and resistance landscapes.

Jiacheng Lou, Danlu Zhang

Abstract readReview
In one paragraph

Review in Experimental hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jiacheng LouDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, China. loujiacheng1986@foxmail.com.ORCID https://orcid.org/0000-0003-3109-7266
Danlu ZhangHuman Resources Department, The Second Hospital of Dalian Medical University, Dalian, China. danluzhang@dmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activating RAS mutations drive a substantial proportion of human cancers, yet for decades RAS was considered undruggable. The recent development of tri-complex inhibitors (TCIs) such as daraxonrasib (RMC-6236) has transformed the therapeutic landscape by enabling potent, multi-selective targeting of the active, GTP-bound state of multiple RAS isoforms. This review synthesizes preclinical and clinical evidence on daraxonrasib and related RAS(ON) inhibitors across RAS-mutant malignancies, including pancreatic ductal adenocarcinoma, non-small cell lung cancer, colorectal cancer, melanoma, and cholangiocarcinoma. We examine the structural basis of TCI action, pharmacokinetic considerations, and the profound tumor regressions observed in early-phase trials, including the unprecedented overall survival benefit in PDAC. A central focus is the emergence of resistance through diverse mechanisms: acquired mutations in CYPA, RAS, and BRAF that disrupt drug-target complex formation or restore RAS-RAF signaling; adaptive rewiring via mTORC1, STAT3, and cell cycle pathways; and tumor microenvironment-mediated resistance. We further explore rational combination strategies designed to forestall resistance, including vertical MAPK pathway blockade, orthogonal inhibition of EGFR/STAT3, CDK4/6 targeting, and immunotherapy combinations that leverage RAS inhibition-induced immune priming. By integrating structural biology, translational pharmacology, and clinical outcomes, this review provides a comprehensive framework for understanding the promise and challenges of pan-RAS inhibition in precision oncology.

Indexed as

DaraxonrasibMolecular gluesPan-RAS inhibition/RAS(ON) inhibitorsRMC-6236Tri-complex inhibitors

Identifiers

PMID42806361
PMCPMC13617926

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.