Cancer Gene Panels | Mission Bio

Why Single Cell for Oncology?

The heterogeneity and dynamism of cancer present formidable challenges to treating the disease. Through an iterative process of mutation and cell expansion, tumors generate genetic and phenotypic heterogeneity, contributing to the complexity of the disease.

Advances in single-cell technology are enabling researchers to precisely reconstruct tumor phylogenies and reveal the clonal architecture of tumors, with profound implications for diagnosis, prognosis, and treatment of cancer.

Mission Bio’s Tapestri Platform enables highly sensitive targeted DNA sequencing at the single-cell level, measuring SNVs, indels, chromosomal rearrangements and CNVs, as well as structural characteristics like zygosity, mutational co-occurrence, and the presence of rare cell populations. Moreover, Tapestri enables simultaneous measurement of genotype and immunophenotype across thousands of cells in a single assay to allow a thorough depiction of the tumor’s clonal diversity.

Single-cell applications in oncology

Clonal evolution

Track clonal evolution and reconstruct phylogenetic trees

Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics

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Tumor Profiling

Unravel tumor heterogeneity and discern early driver gene alterations

Single-cell DNA analysis with nuclei isolated from solid tumor tissue

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Disease Modeling

Assess genome editing for use in pre-clinical disease modeling

Single-cell DNA analysis of a novel acute erythroid leukemia (AEL) CRISPR induced mouse model

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Therapeutic Resistance

Reveal therapy resistance mechanisms through course of treatment

Single-cell DNA sequencing reveals complex mechanisms of resistance to quizartinib

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Minimal Residual Disease (MRD)

Monitor disease during remission to track MRD

Single-cell mutational profiling enhances the clinical evaluation of AML MRD

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Clonal Hematopoiesis of Indeterminate Potential (CHIP)

Distinguish leukemic clones from age-related clonal hematopoiesis

Personalized single-cell proteogenomics to distinguish acute myeloid leukemia from nonmalignant clonal hematopoiesis

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Areas of Interest

Hematologic Malignancies

Gain comprehensive insights into disease progression, development of resistance, and MRD

Solid Tumors

Uncover tumor heterogeneity that drives cancer evolution and treatment response

PEER SCIENCE

PIK3CA and CCM mutations fuel cavernomas through a cancer-like mechanism

Doug Marchuk and Daniel Snellings from the Duke University School of Medicine study the genetics of cerebral cavernous malformations using single-cell DNA sequencing

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Single-cell mutation analysis of clonal evolution in myeloid malignancies

Ross Levine at MSKCC discusses using single-cell analysis to elucidate clonal evolution, including delineating which mutations occur in the same clone(s), accurately measuring clonal complexity, and definitively determining the order of mutations

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Single-cell DNA amplicon sequencing reveals clonal heterogeneity and evolution in T-cell acute lymphoblastic leukemia

Jan Cools at the VIB Center for Cancer Biology applies high-throughput single-cell DNA sequencing to determine the clonal heterogeneity in acute lymphoblastic leukemia patients at diagnosis and monitor the clonal evolution during treatment

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PRODUCTS

The Tapestri Platform

The first and only single-cell technology developed to reveal biomarkers that help stratify patients, signal resistance, and predict relapse. Tapestri’s powerful multi-omics capability — connecting genotype and phenotype — opens the door to a deeper understanding and improved treatment of cancer.