The Oncology Biomarker Discovery framework reveals cetuximab and bevacizumab response patterns in metastatic colorectal cancer.
Alexander J OhnmachtArndt StahlerSebastian StinzingDominik Paul ModestJulian W HolchChristoph Benedikt WestphalenLinus HölzelMarisa K SchübelAna GalhozAli FarnoudMinhaz Ud-DeanUrsula Vehling-KaiserThomas DeckerMarkus MoehlerMatthias HeinigVolker HeinemannMichael Patrick MendenPublished in: Nature communications (2023)
Precision medicine has revolutionised cancer treatments; however, actionable biomarkers remain scarce. To address this, we develop the Oncology Biomarker Discovery (OncoBird) framework for analysing the molecular and biomarker landscape of randomised controlled clinical trials. OncoBird identifies biomarkers based on single genes or mutually exclusive genetic alterations in isolation or in the context of tumour subtypes, and finally, assesses predictive components by their treatment interactions. Here, we utilise the open-label, randomised phase III trial (FIRE-3, AIO KRK-0306) in metastatic colorectal carcinoma patients, who received either cetuximab or bevacizumab in combination with 5-fluorouracil, folinic acid and irinotecan (FOLFIRI). We systematically identify five biomarkers with predictive components, e.g., patients with tumours that carry chr20q amplifications or lack mutually exclusive ERK signalling mutations benefited from cetuximab compared to bevacizumab. In summary, OncoBird characterises the molecular landscape and outlines actionable biomarkers, which generalises to any molecularly characterised randomised controlled trial.
Keyphrases
- metastatic colorectal cancer
- phase iii
- open label
- clinical trial
- study protocol
- phase ii
- genome wide
- double blind
- small molecule
- phase ii study
- placebo controlled
- palliative care
- high throughput
- small cell lung cancer
- randomized controlled trial
- squamous cell carcinoma
- dna methylation
- signaling pathway
- radiation therapy
- cell proliferation
- transcription factor
- papillary thyroid
- single molecule
- pi k akt
- bioinformatics analysis
- rectal cancer
- young adults
- locally advanced