ReviewCancers2026
Choosing Between Anti-TROP2 ADCs in Advanced Breast Cancer Without Head-to-Head Evidence: A Practical Evidence-Informed Decision Framework Endorsed by the Polish Society of Clinical Oncology.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesAntibody-drug conjugates (ADCs) targeting trophoblast cell-surface antigen 2 (TROP2), including sacituzumab govitecan (SG) and datopotamab deruxtecan (Dato-DXd), have expanded treatment options for patients with advanced breast cancer. Although both agents target TROP2, they differ in molecular design, clinical evidence, toxicity profiles, and monitoring requirements. Without head-to-head trials, their relative clinical positioning remains uncertain. This review aimed to critically assess the available evidence and develop a practical framework to support individualized treatment selection between SG and Dato-DXd.
methodsThis narrative critical review used a structured literature search of PubMed/MEDLINE and targeted searches of major oncology guidelines, regulatory documents, pivotal-trial publications, conference reports when full publications were unavailable, and relevant retrospective or translational studies. The evidence cutoff was 29 September 2026. Direct randomized-trial evidence, indirect clinical inference, and expert/practical considerations were explicitly distinguished.
resultsSG and Dato-DXd have both demonstrated clinically meaningful activity in advanced breast cancer, but their evidence base, toxicity patterns, and practical requirements differ. Cross-trial differences in populations, treatment lines, comparator composition, follow-up, subsequent therapy, response assessment, and safety reporting preclude valid numerical comparisons of efficacy or toxicity between the two agents. SG is characterized predominantly by hematologic and gastrointestinal toxicity, whereas Dato-DXd is associated with stomatitis, ocular toxicity, and interstitial lung disease/pneumonitis. These distinctions, together with patient-specific comorbidities, prior toxicities, prior ADC exposure, logistical considerations, and local healthcare resources, may inform individualized treatment selection when both agents are clinically appropriate.
conclusionsIn the absence of direct comparative trials, treatment selection between SG and Dato-DXd should not rely on cross-trial efficacy or safety comparisons. The proposed framework separates regulatory and guideline eligibility from drug-specific safety evidence, indirect clinical inference, patient preferences, and healthcare system considerations. It is intended as evidence-informed clinical guidance rather than a validated comparative treatment selection rule and requires prospective evaluation.
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Registered trials
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.