# Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling – A report on the impact of process optimization through the analysis of 4,871 cytology samples profiled by MSK-IMPACT

**Authors:** David Kim, Chad Vanderbilt, Soo-Ryum Yang, Subhiksha Nandakumar, Khedoudja Nafa, Rusmir Feratovic, Natasha Rekhtman, Ivelise Rijo, Jacklyn Casanova, Anita Yun, Angela Rose Brannon, Michael Berger, Marc Ladanyi, Oscar Lin, Maria Arcila

PMC · DOI: 10.21203/rs.3.rs-4746484/v1 · Research Square · 2024-07-23

## TL;DR

This study shows how optimizing processes can improve genetic profiling from small cytology samples, achieving high success rates comparable to surgical samples.

## Contribution

The study introduces optimized strategies for maximizing genetic profiling success from cytology samples, particularly using residual supernatant cell-free DNA.

## Key findings

- Cytology samples achieved up to 93% success rates in identifying genomic alterations with full optimization.
- Residual supernatant cell-free DNA (ScfDNA) provided negligible contamination and successful results in 71% of depleted cases.
- Cell block samples showed low-level cross-contamination in 4.7% of cases, suggesting the need for improved quality control.

## Abstract

Comprehensive molecular profiling by next generation sequencing (NGS) has revolutionized tumor classification and biomarker evaluation. However, routine implementation is challenged by the scant nature of diagnostic material obtained through minimally invasive procedures. Here, we describe our long-term experience in profiling cytology samples with an in-depth assessment of the performance, quality metrics, biomarker identification capabilities, and potential pitfalls. We highlight the impact of several optimization strategies to maximize performance with 4,871 prospectively sequenced clinical cytology samples tested by MSK-IMPACT™. Special emphasis is given to the use of residual supernatant cell free DNA (ScfDNA) as a valuable source of tumor DNA. Overall, cytology samples were similar in performance to surgical samples in identifying clinically relevant genomic alterations, achieving success rates up to 93% with full optimization. While cell block (CB) samples had excellent performance overall, low-level cross-contamination was identified in a small proportion of cases (4.7%), a common pitfall intrinsic to the processing of paraffin blocks, suggesting that more stringent precautions and processing modifications should be considered in quality control initiatives. By contrast ScfDNA samples had negligible contamination. Finally, ScfDNA testing exclusively used as a rescue strategy delivered successful results in 71% of cases where tumor tissue from CB was depleted.

## Full-text entities

- **Diseases:** tumor (MESH:D009369)
- **Chemicals:** paraffin (MESH:D010232)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11302697/full.md

## References

23 references — full list in the complete paper: https://tomesphere.com/paper/PMC11302697/full.md

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Source: https://tomesphere.com/paper/PMC11302697