Advancing Novel Endpoints in Oncology Trials: A Systematic Review

This systematic review examines novel endpoints in oncology trials, focusing on neoadjuvant survival metrics, tumor response evaluation, and advanced predictive strategies. Synthesized using the Synthory.AI service, the review includes 25 studies published from 2018 to 2025, identified through PubMed and PubMed Central™. Key findings emphasize the utility of pathological complete response (pCR), major pathological response (MPR), and circulating tumor DNA (ctDNA) dynamics as predictive markers for survival, offering insights into personalized treatment approaches. Despite methodological challenges and limited generalizability, these advancements highlight the potential for optimizing therapeutic evaluations. Future research should prioritize standardized endpoints, multicenter trials, and real-world data integration to enhance oncology care.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15204535
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Novel Endpoints in Oncology Trials: A Systematic Review

Zenodo (CERN European Organization for Nuclear Research)
Cancer Genomics and Diagnostics
article

Advancing Novel Endpoints in Oncology Trials: A Systematic Review

article en

Abstract

This systematic review examines novel endpoints in oncology trials, focusing on neoadjuvant survival metrics, tumor response evaluation, and advanced predictive strategies. Synthesized using the Synthory.AI service, the review includes 25 studies published from 2018 to 2025, identified through PubMed and PubMed Central™. Key findings emphasize the utility of pathological complete response (pCR), major pathological response (MPR), and circulating tumor DNA (ctDNA) dynamics as predictive markers for survival, offering insights into personalized treatment approaches. Despite methodological challenges and limited generalizability, these advancements highlight the potential for optimizing therapeutic evaluations. Future research should prioritize standardized endpoints, multicenter trials, and real-world data integration to enhance oncology care.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 50%
Cancer Genomics and Diagnostics
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