Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialConference paper

PREDICT1: An observational study for identifying blood biomarkers associated with clinical benefit from carboplatin and pemetrexed (CbP) treatment in patients with non-squamous (NS) non-small cell lung cancer (NSCLC) (CJLSG1201).

Tetsunari Hase, Kiyoshi Yanagisawa, Asuki Fukatsu, Tomoki Kimura, Eiji Kojima, Takashi Abe, Kazuyoshi Imaizumi, Yoshitsugu Horio, Tetsuya Oguri, Masashi Yamamoto, Tomohiko Ogasawara, Yasuteru Sugino, Masahiro Morise, Masahiro Nakatochi, Masahiko Ando, Masashi Kondo, Hideo Saka, Hiroshi Saito, Yoshinori Hasegawa, Takashi Takahashi

Journal of Clinical Oncology · 2020

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Summary

PREDICT1 is a prospective observational study conducted in Japan investigating proteomic biomarkers in pre-treatment blood serum that may predict clinical benefit from carboplatin-pemetrexed chemotherapy in patients with advanced or recurrent non-squamous non-small cell lung cancer. Using mass spectrometry-based proteomics, the researchers developed a classifier to identify optimal treatment candidates, contributing to precision oncology approaches in a population lacking actionable molecular alterations. The study addresses a significant clinical gap in treatment selection for this chemotherapy regimen.

UK applicability

The proteomic biomarker findings could support precision medicine approaches in UK oncology services, though validation in UK or European populations would strengthen clinical applicability. Implementation would require integration with existing NHS pathways for advanced lung cancer diagnosis and treatment planning.

Key measures

Blood serum proteomic profiles; treatment response stratification; classifier performance for predicting clinical benefit from CbP chemotherapy

Outcomes reported

The study identified blood serum proteomic biomarkers associated with clinical benefit from carboplatin-pemetrexed chemotherapy in patients with advanced or recurrent non-squamous non-small cell lung cancer. Researchers developed a classifier to stratify patients by treatment response based on pre-treatment blood samples analysed using mass spectrometry-based proteomics.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Conference paper
Status
Published
Geography
Japan
System type
Human clinical
DOI
10.1200/jco.2020.38.15_suppl.9524
Catalogue ID
BFmobghnj9-4hbmsq

Topic tags

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