Optimizing Workflows and Processing of Cytologic Samples for Comprehensive Analysis by Next-Generation Sequencing.

* The value and suitability of cytology specimens for molecular diagnosis has been demonstrated by numerous studies. In practice, however, the success rates vary widely across institutions depending on the disease setting, institutional practices of acquisition, handling/processing, and testing meth...

Descripción completa

Detalles Bibliográficos
Publicado en:Archives of Pathology & Laboratory Medicine Vol. 140; no. 11; pp. 1200 - 1206
Autores principales: Shaozhou Ken Tian, Killian, J. Keith, Rekhtman, Natasha, Benayed, Ryma, Middha, Sumit, Ladanyi, Marc, Lin, Oscar, Arcila, Maria E.
Formato: pictorial tables/charts Journal Article
Publicado: College of American Pathologists Nov2016
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=119227545&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 119227545
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        00039985
        1FS
      jtl: Archives of Pathology & Laboratory Medicine
      issn: 00039985
      maglogo: N
    pubinfo:
      dt: Nov2016
      vid: 140
      iid: 11
      pid: 2550
      pub: College of American Pathologists
      place: Northfield, Illinois
    artinfo:
      ui:
        119227545
        119227545
        119227545
        10.5858/arpa.2016-0108-RA
        119227545
      ppf: 1200
      ppct: 6
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Optimizing Workflows and Processing of Cytologic Samples for Comprehensive Analysis by Next-Generation Sequencing.
      aug:
        au:
          Shaozhou Ken Tian
          Killian, J. Keith
          Rekhtman, Natasha
          Benayed, Ryma
          Middha, Sumit
          Ladanyi, Marc
          Lin, Oscar
          Arcila, Maria E.
        affil: Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
      sug:
        subj:
          Histocytological Preparation Techniques
          Neoplasms Pathology
          Sequence Analysis Methods
          Specimen Handling Methods
          Cancer Care Facilities New York
          New York
          Molecular Diagnostic Techniques
          Bioinformatics
      ab: * The value and suitability of cytology specimens for molecular diagnosis has been demonstrated by numerous studies. In practice, however, the success rates vary widely across institutions depending on the disease setting, institutional practices of acquisition, handling/processing, and testing methodologies. As the number of clinically relevant biomarkers continues to increase, more laboratories are turning to next-generation sequencing platforms for testing. Although amplicon-based next-generation sequencing assays, interrogating a limited genomic territory, can be performed with minimal input material, broader-based next-generation sequencing assays have higher DNA input requirements that may not be met if the small tissue samples are not acquired and handled appropriately. We briefly describe some of the process changes we have instituted in our laboratories when handling cytologic material to maximize the tissue available for broad hybrid-capture--based next-generation sequencing assays. Among the key changes established were the consolidation and preservation of previously discarded supernatant material in cytologic samples, the introduction of mineral oil for deparaffinization of cell blocks, and adjustments in the molecular laboratory process and bioinformatics pipelines. We emphasize that even minimal changes can have broad implications for test performance, highlighting the importance of a cohesive group-based approach among clinical, cytopathology, surgical pathology, molecular, and bioinformatics teams.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N