Evidence map›Paper›PMID 36650408›Full record

ArticleCancer cytopathology2023

Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing.

Michal Marczyk, Chunxiao Fu, Rosanna Lau, Lili Du, Alexander J Trevarton, Bruno V Sinn, Rebekah E Gould, Lajos Pusztai, Christos Hatzis, William Fraser Symmans

Open access · bronzeAbstract read
In one paragraph

Article in Cancer cytopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Michal MarczykYale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-2508-5736
Chunxiao FuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Rosanna LauDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Lili DuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Alexander J TrevartonDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Bruno V SinnInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Rebekah E GouldDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Lajos PusztaiYale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
Christos HatzisYale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
William Fraser SymmansDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · USYale Cancer Center · USCharité - Universitätsmedizin Berlin · DESilesian University of Technology · PL

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Integrating Biospecimen Science Into The Development Of RNA-Based Clinical Assays For Patients With Metastatic Breast CancerU01CA215547 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SYMMANS, WILLIAM F · 2017 to 2021
$1.6M
NCATS NIH HHS UL1 TR001863NCI NIH HHS U01 CA215547
6 · The paper itself

Abstract

backgroundRather than surgical resection, cytologic specimens are often used as first-line clinical diagnostic procedures due to higher safety, speed, and cost-effectiveness. Archival diagnostic cytology slides containing cancer can be equivalent to tissue biopsies for DNA mutation testing, but the accuracy of transcriptomic profiling by RNA sequencing (RNA-seq) is less understood.

methodsThis study compares the results from whole transcriptome RNA-seq and a targeted RNA-seq assay of stained cytology smears (CS) versus matched tumor tissue samples preserved fresh-frozen (FF) and processed as formalin-fixed paraffin-embedded (FFPE) sections. Cellular cytology scrapes from all 11 breast cancers were fixed and stained using three common protocols: Carnoy's (CS_C) or 95% ethanol (CS_E) fixation and then Papanicolaou stain or air-dried then methanol fixation and DiffQuik stain (CS_DQ). Agreement between samples was assessed using Lin's concordance correlation coefficient.

resultsLibrary yield for CS_DQ was too low, therefore it was not sequenced. The distributions of concordance correlation coefficient of gene expression levels in comparison to FF were comparable between CS_C and CS_E, but expression of genes enriched in stroma was lower in cytosmear samples than in FF or FFPE. Six signatures showed similar concordance to FF for all methods and two were slightly worse in CS_C and CS_E. Genomic signatures were highly concordant using targeted RNA-seq. The allele fraction of selected mutations calculated on cytosmear specimens was highly correlated with FF tissues using both RNA-seq methods.

conclusionRNA can be reliably extracted from cytology smears and is suitable for transcriptome profiling or mutation detection, except for signatures of tumor stroma.

Indexed as

Breast NeoplasmsFemaleFormaldehydeGene Expression ProfilingHumansParaffin EmbeddingRNASequence Analysis, RNATissue FixationTranscriptomeFormaldehydeRNAbiopsybreast neoplasmscytology smearsRNA-seqtranscriptomics

Identifiers

PMID36650408
PMCPMC10614161
OpenAlexW4317359841

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.