Advancing Evidence Generation for Circulating Tumor DNA: Lessons Learned from A Multi-Assay Study of Baseline Circulating Tumor DNA Levels across Cancer Types and Stages.
Brittany Avin McKelveyHillary S AndrewsFrederick L BaehnerJames ChenCarin R EspenschiedDavid FabrizioVanessa GortonClaire GouldJustin GuinneyGreg JonesXiangyang LvMichael S NahorskiMelanie R PalomaresGary A PestanoMark SausenAlain SilkNicole ZhangZhihong ZhangMark D StewartJeff D AllenPublished in: Diagnostics (Basel, Switzerland) (2024)
Circulating tumor DNA (ctDNA) holds promise as a biomarker for predicting clinical responses to therapy in solid tumors, and multiple ctDNA assays are in development. However, the heterogeneity in ctDNA levels prior to treatment (baseline) across different cancer types and stages and across ctDNA assays has not been widely studied. Friends of Cancer Research formed a collaboration across multiple commercial ctDNA assay developers to assess baseline ctDNA levels across five cancer types in early- and late-stage disease. This retrospective study included eight commercial ctDNA assay developers providing summary-level de-identified data for patients with non-small cell lung cancer (NSCLC), bladder, breast, prostate, and head and neck squamous cell carcinoma following a common analysis protocol. Baseline ctDNA levels across late-stage cancer types were similarly detected, highlighting the potential use of ctDNA as a biomarker in these cancer types. Variability was observed in ctDNA levels across assays in early-stage NSCLC, indicative of the contribution of assay analytical performance and methodology on variability. We identified key data elements, including assay characteristics and clinicopathological metadata, that need to be standardized for future meta-analyses across multiple assays. This work facilitates evidence generation opportunities to support the use of ctDNA as a biomarker for clinical response.
Keyphrases
- circulating tumor
- cell free
- circulating tumor cells
- papillary thyroid
- high throughput
- early stage
- randomized controlled trial
- prostate cancer
- big data
- machine learning
- artificial intelligence
- electronic health record
- squamous cell carcinoma
- lymph node metastasis
- young adults
- risk assessment
- stem cells
- mesenchymal stem cells
- radiation therapy
- mass spectrometry
- childhood cancer
- single cell
- tyrosine kinase
- combination therapy
- bone marrow
- smoking cessation