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Cancer Genetics· 3 min read

Tumour Purity and Sequencing: How Much Cancer Is in the Sample

A tumour specimen is a mixture of cancer cells and normal cells: stroma, immune cells, blood vessels and adjacent tissue. The proportion that is cancer, the tumour purity or cellularity, directly limits what a sequencing test can detect.

Quick Answer

A tumour specimen is a mixture of cancer cells and normal cells: stroma, immune cells, blood vessels and adjacent tissue. The proportion that is cancer, the tumour purity or cellularity, directly limits what a sequencing test can detect.

Tumour Purity and Sequencing: How Much Cancer Is in the Sample: mechanism and interpretation mapThree connected stages summarise the article's mechanism, measured effect and interpretation boundary.TP53 · EGFR · KRAS1Why Purity Sets a Detection…Mechanism2How Purity Is EstimatedObserved consequence3Consequences for Different…Interpret in contextGene or pathway evidence → measured phenotype → assay-aware conclusion
Mechanism map: the article’s main biological stages are separated from the final interpretation so a pathway relationship is not mistaken for a clinical conclusion.

Why Purity Sets a Detection Ceiling

If only 20 percent of the cells in a sample are cancer, a heterozygous mutation present in every cancer cell will appear in roughly 10 percent of sequencing reads, because half of the tumour DNA copies carry it.

If the assay's limit of detection is around 5 percent, that mutation is still detectable; if purity drops to 10 percent, the same mutation falls near or below the detection threshold and can be missed.

How Purity Is Estimated

Pathologists estimate purity visually on a stained slide, but this is approximate and observer-dependent. Bioinformatic methods infer purity from the sequencing data itself, using the allele fractions of many variants and copy-number patterns.

The two estimates do not always agree, and low-purity samples are harder to analyse reliably by either method.

Consequences for Different Findings

Low purity most affects the detection of subclonal mutations, low-level copy-number changes and, especially, homozygous deletions, which can be masked by the normal-cell signal.

Tumour mutational burden and microsatellite instability estimates are also less reliable at low purity because there is less tumour signal to measure.

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Improving the Sample

Macrodissection or microdissection, where the pathologist marks and the laboratory scrapes a tumour-rich area of the slide, raises effective purity. Choosing a more cellular block, or requesting a fresh biopsy, are other options.

Laboratories usually set a minimum purity threshold below which they will not report, or will report with a caveat.

Interpretation Notes

A report should state the estimated tumour content. A negative result from a low-purity sample is weak evidence of true absence.

If a clinically expected mutation is not found and purity is low, repeat testing on a better sample is often warranted before concluding the tumour is negative.

Key Takeaways

  • ·Tumour purity is the fraction of cancer cells in a specimen and caps detection sensitivity.
  • ·Low purity can push real mutations below the assay's limit of detection.
  • ·Homozygous deletions and subclonal changes are the most affected.
  • ·Macrodissection and sample selection can raise effective purity.

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Frequently asked questions

What is the key idea in Tumour Purity and Sequencing: How Much Cancer Is in the Sample?

A tumour specimen is a mixture of cancer cells and normal cells: stroma, immune cells, blood vessels and adjacent tissue. The proportion that is cancer, the tumour purity or cellularity, directly limits what a sequencing test can detect.

What should be kept with the result or mechanism?

Low purity can push real mutations below the assay's limit of detection. Homozygous deletions and subclonal changes are the most affected. Macrodissection and sample selection can raise effective purity.

References

  1. 1Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels. Journal of Molecular Diagnostics, 2017. PubMed
  2. 2Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. New England Journal of Medicine, 2012. PubMed
  3. 3Somatic mutation panels: time to clear their names. Cancer Genetics, 2019. PubMed
  4. 4Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition. Cell, 2021. PubMed

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