The evolving global landscape of first-in-class oncology drug innovation
Summary
First-in-class (FIC) oncology drugs-defined by their novel mechanisms of action or targeting of previously unaddressed molecular targets-have emerged as a leading force in cancer therapeutic innovation. In this Review, we delineate the global landscape of FIC oncology drug approvals between 2009 and 2024 and analyze the evolving characteristics of both approved FIC therapies and potential FIC (PFIC) candidates in clinical development. To clarify the underlying dynamics of this evolution, w
Content
# The evolving global landscape of first-in-class oncology drug innovation
*Published: 2026 May 11*
First-in-class (FIC) oncology drugs-defined by their novel mechanisms of action
or targeting of previously unaddressed molecular targets-have emerged as a
leading force in cancer therapeutic innovation. In this Review, we delineate the
global landscape of FIC oncology drug approvals between 2009 and 2024 and
analyze the evolving characteristics of both approved FIC therapies and
potential FIC (PFIC) candidates in clinical development. To clarify the
underlying dynamics of this evolution, we construct an analytic framework
encompassing four distinct archetypes of FIC development: new targets, new
mutation subtypes, new modalities, and new multi-target strategies. This
typology enables a systematic dissection of divergent translational trajectories
and bottlenecks across the evolving FIC landscape. While most approved FIC drugs
are driven by target novelty, PFIC candidates increasingly capitalize on
technological breakthroughs, particularly in modalities such as cell and gene
therapies, antibody-drug conjugates, proteolysis-targeting chimeras, cancer
vaccines and bispecific antibodies. These advances not only expand the
boundaries of druggability but also redefine how therapeutic interventions are
conceived, delivered and translated into patient outcomes. Despite this
momentum, critical bottlenecks-including the identification and validation of
tractable targets, high clinical attrition rates, and persistent disparities in
global access-continue to limit the real-world impact of oncology innovation.
Looking forward, the convergence of artificial intelligence, next-generation
modalities, and translational collaboration may serve as powerful engines for
translating scientific breakthroughs into widely accessible therapies and for
driving sustainable, mechanism-based innovations in oncology.
DOI: 10.1038/s41392-026-02606-7