Drive Personalized Cancer Medicine through a Customized Multiomics Pipeline

Intro

Faced with the challenge of analyzing thousands of patient-derived tumors, a leading pharmaceutical company needed a faster, more reliable way to turn massive multiomics data into meaningful biological insights.

Sequentia Biotech developed a customized multiomics pipeline that integrates DNA and RNA sequencing into a single automated system, capable of processing hundreds of patient collections at scale. Integrating AI-driven result interpretation into visual reporting accelerates data understanding and enables teams to interpret multiomics results autonomously and with full traceability.

Aim

Our customer set out to tackle one of the biggest challenges in cancer research: understanding each patient’s tumor at an unprecedented level of detail. Their goal was to leverage high-throughput, multiomics profiling to deliver precise, actionable insights that could guide personalized treatments and accelerate drug development.

Challenge

Cancer is a complex and unique disease that affects each patient differently. Our customer was working with hundreds of patient-derived organoids—miniature tumor models grown in the lab—each producing massive amounts of DNA and RNA sequencing data. Integrating this information to reveal meaningful patterns was a significant challenge.

Manual analysis was slow and error-prone. Ensuring consistency, traceability, and reproducibility across thousands of samples was essential, as even a single misstep could compromise downstream research. In addition, interpreting these multi-layered datasets to identify tumor mutations, gene expression changes, and critical cancer hallmarks required intensive human effort, creating bottlenecks that threatened to slow innovation.

Solution

Sequentia stepped in to develop custom pipelines our customer needed for automated multiomics cancer profiling in a single, scalable system. This tailored solution seamlessly integrates both DNA and RNA sequencing workflows, enabling the platform to refine and map sequencing reads, identify genomic variants, perform sample genotyping, and analyze transcriptomic data to uncover gene expression patterns, epithelial-mesenchymal transition (EMT) scores, and the key biological pathways impacted in each tumor.

Each batch of samples now generates a comprehensive report with AI-driven interpretation, including data, visualizations, and interpreted plots that highlight the most relevant findings. Insights that previously required hours of manual work are now delivered faster and in a more standardized format, enabling researchers and pharmacologists to focus on translating results into actionable strategies for personalized treatment. By combining multi-layered genomic and transcriptomic analysis in a single pipeline, Sequentia dramatically magnifies the biological insight and value of every experiment.

Impact

With this solution, our customer can process hundreds of cancer organoids at scale, delivering precise multiomics insights that guide personalized treatments. The automation ensures consistent, reproducible results, while AI-enhanced reports provide visualizations and interpreted plots for every batch, turning complex data into clear, actionable insights.

This streamlined workflow reduces manual effort, accelerates research timelines, and enhances biological understanding by highlighting critical cancer hallmarks, gene expression patterns, and affected pathways. By integrating multi-layered data into a single platform, our customers can make faster, smarter decisions in precision oncology, empowering researchers and pharmacologists to focus on developing targeted, personalized cancer treatments.