Abstract
In recent years, cytopathology has established itself as an independent diagnostic modality to guide clinical management in many different settings. The application of molecular techniques to cytological samples to identify prognostic and predictive biomarkers has played a crucial role in achieving this goal. While earlier studies have demonstrated that single biomarker testing is feasible on cytological samples, currently, this provides only limited and increasingly insufficient information in an era where an increasing number of biomarkers are required to guide patient care. More recently, multigene mutational assays, such as next-generation sequencing (NGS), have gained popularity because of their ability to provide genomic information on multiple genes. The cytopathologist plays a key role in ensuring success of NGS in cytological samples by influencing the pre-analytical steps, optimizing preparation types and adequacy requirement in terms of cellularity and tumor fraction, and ensuring optimal nucleic acid extraction for DNA input requirements. General principles of the role and potential of NGS in molecular cytopathology in the universal healthcare (UHC) European environment and examples of principal clinical applications were discussed in the workshop that took place at the 30th European Congress of Pathology in Bilbao, European Society of Pathology, whose content is here comprehensively described.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Molecular cytopathology, namely the application of molecular techniques and genomic diagnostics to cytopathology, relies on the principle that, in addition to formalin-fixed paraffin embedded (FFPE) histologic material, cytology samples are also suitable for molecular testing [1]. Indeed, molecular cytopathology provides several advantages in many different settings [2]. The minimally invasive fine-needle aspiration (FNA) technique yields a tumor fraction usually higher than that of a biopsy specimen, which frequently contains abundant proportions of stromal and/or inflammatory cells [3]. In most routine cases, diagnostic cellular material is available on more than one cytopreparation, including direct smears, liquid-based cytology (LBC) and cell blocks (CBs) slides, which provides a wide variety of options for molecular testing by selecting the specimen preparation featuring the more pure population of neoplastic cells [3]. Since cytology samples are often collected in non-formalin-based fixatives, they offer the possibility of testing high-quality nucleic acids [4]. Moreover, smears enable to perform direct microscopic examination of the cell populations by rapid on-site evaluation (ROSE) to effectively triage for DNA/RNA extraction only those cases with adequate tumor fraction in order to avoid false-negative molecular results, which can commonly occur if the sample tested does not have a sufficient number or percentage of neoplastic cells [5].
The effective interplay between genomics and cytology can be exploited to address different clinical needs [6]. In particular, molecular cytopathology can help to predict patients’ response to oncotherapy. Indeed, accurate and sensitive detection of actionable oncogenic mutations on cytological samples is now well established [7]. In addition, molecular cytopathology may refine microscopic diagnoses in challenging areas with a high level of diagnostic uncertainty and overlap [8]. In both predictive and diagnostic scenarios, single biomarker testing provides only limited and increasingly insufficient information; conversely, multigene mutational assays, such as next-generation sequencing (NGS), can simultaneously inform on multiple genes, requiring only a small amount of DNA [9, 10]. Several studies have described the feasibility and utility of NGS using cytological samples and have demonstrated sensitivities and specificities comparable to that of histological specimens [11], not only for DNA-based applications, but also to detect gene fusions of diagnostic or predictive relevance [12, 13]. Hence, the time is ripe to summarize the technical, clinical, and therapeutic aspects of NGS in molecular cytopathology. To this end, experts in this field discussed the various facets of this complex topic in a workshop that took place at the 30th European Congress of Pathology in Bilbao, whose content is here comprehensively described.
Pre-analytics and sample requirements
The cytopathologist’ role
The adequacy of a cytological sample for molecular testing is influenced by a large number of variables. Some of them are beyond the cytopathologist’s control, such as the skill and expertise of the radiologist/pulmonologist (trainee versus expert physicians). Similarly, tumor features such as the size, the site, and degree of fibrosis and of necrosis are also other independent variables. Nevertheless, the cytopathologist plays an important role in influencing these multiple pre-analytical steps, cumulatively referred to as pre-analytical procedures [2]. The cytopathologist selects the best quality cytology preparations for biomarker testing, having the responsibility to cancel the request for molecular assay whenever the cellularity is below the analytical requirements of the molecular assay [3]. Even minimal workflow changes can have broad implications [14]. As an example, the adequacy rate of CBs for NGS assays increases, when the process is optimized by concentrating all the material into a single block, avoiding refacing the CB and using mineral oil for de-paraffinization [15].
Due to this central role, the cytopathologist has an important and relevant role at the multidisciplinary team table. The tumor board is becoming more crowded with time [16]; in this setting, the cytopathologist can interact with interventional radiologists to ensure that adequate tissue amount is obtained, with surgeons to enquire whether a larger resection specimen is expected to be subsequently available for testing and with the oncologists to know whether the patient is a candidate for a targeted therapy and whether the oncologist’s demand also include investigational gene targets required to enroll patients in clinical trials [2, 17].
In particular, several studies performed by the MD Anderson group have defined what parameters the cytopathologists should carefully evaluate when deeming sample adequacy for NGS analysis [3, 10, 11]. These can be roughly categorized as (i) specimen preparation type including collection media, fixative, and stain; (ii) specimen adequacy, i.e., cellularity and tumor fraction; (iii) nucleic acid extraction; and (iv) input DNA and assay requirements. Some general principles of cytological sample requirements for NGS are discussed below.
Cytological specimen preparation
The versatility of different cytological specimen preparations, including direct smears, cytospins, CB, and LBC offers a variety of options for NGS. FFPE CBs are the most widely utilized cytological substrate for NGS, in part due to their similarity to conventional histological tissue blocks. Most molecular laboratories that have validated NGS on histological FFPE tissue do not require separate validation for FFPE cytology CBs, except if processing techniques involve additional pre-analytic factors (such as alcohol fixation etc.). The relative ease of using CB sections frequently makes it the choice substrate for NGS, despite suboptimal nucleic acid quality from formalin fixation artifacts [2]. However, it should be borne in mind that the H&E section evaluated from the top of the CB does not necessarily represent the material deeper in the inclusion; therefore, the section following those adopted for testing should also be stained to ensure the adequacy of the sample. The need for additional separate validation and the medico-legal issues of sacrificing archival slides frequently lead to an underutilization of cytologic smears for NGS analysis. However, direct smears provide high-quality nucleic acid, as well as the advantage of adequacy assessments by rapid on-site evaluation (ROSE) at the time of specimen acquisition and tumor enrichment via microdissection of whole cells. The updated Molecular Testing Guideline from the College of American Pathologists (CAP), the International Association for the Study of Lung Cancer (IASLC), and the Association for Molecular Pathology (AMP) for the selection of lung cancer patients for treatment with targeted tyrosine kinase inhibitors recommend that any cytology sample, with adequate cellularity and preservation, may be used for molecular testing [7]. This recommendation widens the use of cytology because the original recommendation preferred CBs over smears. This was based in systematic published reviews showing an excellent performance of smear preparations for molecular tests [2]. Recent studies have been also showing the use of NGS on cytological smears [2]. LBC has emerged to be a valid and alternative choice for NGS testing with increasing numbers of laboratories using LBC slides or residual LBC fluid for extracting nucleic acid. LBC has the advantage of direct smears in terms of high-quality DNA and using whole cells; however, it suffers from the inability to perform ROSE for tumor adequacy assessments and the need for additional pre-analytic validation for NGS assays.
Collection media, fixative, and stain
Optimization and standardization of pre-analytic variables are critical for any clinical NGS assay; this is especially true for cytological samples that utilize a variety of collection media, fixatives, and stains. Tissue from cytological aspirates can be collected in a multitude of media including saline, RPMI, formalin, and alcohol-based proprietary LBC media such as CytoLyt (Hologic, Bedford, MA) and CytoRich Red (Fisher Scientific, UK) that also serve as fixatives. Several studies have shown quantitative/qualitative differences in DNA yield and preservation between these various collection media [18]. Therefore, the need for rigorous and thorough validation with optimization of the various pre-analytic factors cannot be overemphasized. Likewise, both Diff-Quik and Papanicolaou stained slides have been shown to provide excellent results for NGS-based assays. A few studies have indicated that there may be quantitative differences in the DNA yield depending on the stain used [4, 18]; however, most institutions that perform NGS-based testing from previously stained smears utilize both Diff-Quik and Papanicolaou stains with comparable success.
Cytologic specimen adequacy assessment
The two main components to specimen adequacy assessment include evaluation of (i) overall cellularity and (ii) tumor cellularity. The overall cellularity which is defined by the number of nucleated cells in a sample is directly proportional to the DNA yield from a sample. Therefore, the higher the cellularity, the higher the DNA yield and the higher the chances of success of NGS [10]. However, the tumor cellularity (aka tumor fraction or tumor proportion) is critical for specimen adequacy assessment, as it relates to the analytic sensitivity of the testing platform [19]. Most NGS assays have a platform sensitivity of 5–10%, which requires a sample to have a minimum tumor cellularity of 10–20% to reliably detect a mutant allele (present in tumor cells only) from the background of wild-type alleles. Low tumor fraction samples therefore have a higher chance to false-negative results if it fails to meet the minimum threshold for platform sensitivity [2]. Tumor fraction can frequently be enhanced by tumor enrichment techniques, albeit at the cost of overall cellularity of the sample [3].
Nucleic acid extraction
Several studies have outlined nucleic acid extraction from cytological samples for NGS analysis. These include scraping or cell-lifting of tumor cells directly off smears, cytospins, and LBC slides or from unstained sections of cell blocks by matching a corresponding H&E stained slide and/or direct extraction from collection media such as residual LBC and post-centrifuged FNA supernatants. The limitation of nucleic acid extraction directly from collection media is the inability to assess for tumor fraction which may lead to potential false-negative results when tumor DNA is not included in the sample. However, preliminary studies have shown promising results as these substrates frequently provide higher quantity/quality tumor DNA for NGS analysis [15, 20]. Methods of tissue extraction as well as the type of glass slide used for smear preparation can have varying impact on the nucleic acid retrieval and DNA yield. For example, tissue extracted by cell scraping has higher DNA yield than those extracted by cell-lifting using the PinPoint solution [9]. Further, fully frosted glass slides tend to yield significantly less amounts of DNA than non-frosted or positively charged glass slides [9]. Therefore, optimizing pre-analytic variables for nucleic acid extraction is needed to best utilize cytology samples for NGS assays.
Input DNA and assay requirements
A minimum tumor cell proportion is needed for NGS (around 10 to 20%). In case of a lower number, there would be a chance to miss mutations due to dilution with DNA from benign cells. Macro- or laser capture microdissection can easily be performed in order to enrich for tumor cells. Although even minimal amounts (< 10 ng) of input DNA obtained from selected cells may be sufficient, the microdissection procedure may lead to suboptimal DNA quality.
The DNA requirements for NGS assays depend on the platform used for testing. The most common NGS platforms that have been used for cytological samples are the bench-top sequencers from Ion Torrent (ThermoFisher Scientific, Waltham, MA) and Illumina (Illumina, San Diego, CA). The sequencing chemistries of the two platforms are different: Ion Torrent uses an amplicon-based NGS assay, while Illumina was generally associated with a hybrid capture–based assay. The manufacturer recommended input DNA requirements also vary for the two platforms with Ion Torrent recommending 10 ng and Illumina recommending at least 50 ng [17]. Both sequencing assays have been shown to be compatible with cytological samples, although Ion Torrent has an inherent advantage with small volume cytology samples due to its lower input requirement.
Validation
Although NGS is a fascinating technique, as with any clinical assay, specific validation to optimize pre-analytic cytological variables in individual laboratories prior to use for patient care is absolutely critical. As an example, the higher quality DNA extracted from cytological slides may allow for a lower input threshold for NGS assays than that suggested by the manufacturer for FFPE specimens [10]. The validation of NGS, including pre-analytical, nucleic acid preparation, sequencing, and bioinformatics steps, should yield parameters of analytical sensitivity, specificity, accuracy, and precision. Depth of coverage, average, and uniformity of coverage should also be determined during the validation process as well as validating for minimum sequence coverage for the main genetic alterations of diagnostic interest. A high depth of coverage is especially important when the DNA input and the percentage of malignant cells are scant. While in earlier studies, a minimum coverage of 500× with at least a 10% mutant allele frequency was generally used as cutoff for a variant to be considered true, more recently, in the routine diagnostic, a minimum coverage of 200× with at least a 5% mutant allele frequency is regularly used [21]. It is impossible, however, to validate any single gene variant, even when a large retrospective collection of routine cytological specimens, homogeneous for the source, type, fixation, staining, and tumor cell enrichment modalities, with a known mutational status for all clinically relevant genes, is available. As it will be discussed later, commercial FFPE multiplex reference standards can represent a solution, at least when validating NGS assays on CBs.
Implementation of NGS in clinical practice
NGS in a universal healthcare systems
Beyond pre-analytical and technical factors, the role and potential of NGS in molecular cytopathology is also strongly influenced by more general considerations. In particular, it is very important to consider the type of healthcare systems in which NGS technology is employed. Indeed, several differences may occur between countries adopting well-resourced, reimbursement-based systems and those with the universal healthcare (UHC) organization [22]. In fact, in a private setting, insurance coverage can ensure the repayment of extensive tumor sequencing; thus, the NGS technology is fully exploited as a “one-stop-shop” for all possible genomic targets. Conversely, in a UHC organization, resources are finite and the main efforts are spent to provide at least the molecular information that can directly guide standard-of-care management. From an economic point of view, the larger the number of hospitals carrying out molecular tests is, often on a limited number of samples, the more it costs raise. In fact, resources are needed to afford NGS platforms, expert laboratory team, bioinformatics infrastructure, and data storage facilities. Furthermore, another important requirement for a center performing broad NGS molecular diagnostics is the need to develop a dedicated molecular tumor board (MTB) to really make effective in clinical practice genetics-guided cancer care [23]. Mutations should be carefully annotated and classified as part of (i) treatment recommendations, (ii) eligibility for experimental treatments, and (iii) patients without any therapeutic option [22]. Ideally, a centralized database for annotation and curation of reports would be cost-effective, allowing standard reports with clear recommendations to be provided to clinicians. As an example, the German Network for Genomic Medicine (NGM) in lung cancer is a healthcare network providing NGS-based multiplex genotyping for all inoperable lung cancer patients [24]. However, more efforts have to be spent to implement in clinical practice MTB, as a recent survey in the Netherlands showed that only 5% of non-academic hospitals had access to a MTB [23].
Gene panels
The choice of a gene panel is one of the main factors that strongly influence the NGS use [25]. There are a number of possible gene panel designs, including small panels covering the hotspots regions of the most common actionable genes (covering up to 10–15 genes). Intermediate-size panels (consisting of up to 50 genes) allow oncologists to enroll patients in clinical trials. Currently, larger sequencing panels are being intensively employed for tumor mutational burden (TMB) assessment, with little degree of concordance on the threshold to define cases with high TMB [26,27,28]. As a general rule, while larger cancer care comprehensive centers may be more interested in larger NGS analysis to evaluate a large number of biomarkers, small panels seems to fill in an intermediate space between large panels and PCR-based assays, underlining the concept that NGS is a versatile technology, whose aim and scopes greatly differ among institutions and clinical setting [26, 29]. As a matter of the fact, small gene panels require a lesser abundant DNA input, which makes NGS analysis feasible even on small tissue samples, including cytology [30]. As an example, the narrow NGS panel (SiRe®) developed at the University of Naples Federico II covers 568 clinical relevant mutations in six genes (EGFR, KRAS, NRAS, BRAF, KIT, and PDGFRa) involved in NSCLC, gastrointestinal stromal tumor, colorectal cancer (CRC), and melanoma [29, 31, 32]. In a recent investigation on NSCLC routine samples, out of a total of 322 cases, only 28 (8.7%) failed to produce an adequate library. The performance of SiRe® Panel was more than satisfactory showing an average of 166,206.91 reads per sample with a median read length of 130.64 bp. In addition, the NGS workflow allowed a very cost-effective batching of samples (16 per run on 316v2 chip, ThermoFisher Scientific), regardless of the type of tumor and the pathological preparations. As a result, turnaround time (TAT) can be as short as recommended by international guidelines.
Consistency and reproducibility of NGS testing on cytological samples
Although there is a consensus that NGS can be carried out on archival smears, most of the available data reflect only single institutions rather that multicenter studies for inter-laboratory comparison of protocols. Although it is undeniable that surplus routine patient smears are the best option for validating gene mutational analysis, studies on cytological smears are difficult because smear slides are not reproducible or replaceable. However, the molecular cytopathology community can share experience and face new challenges on artificial cytological slides [33]. In particular, this opportunity has been seized thanks to the Molecular Cytopathology Meeting Group, which meets annually in Naples with a goal of developing collaborative projects across the globe. The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) 9 is a robust technology that can be used to introduce in cell lines a range of variants, including single-point mutations and insertion-deletion mutation, assessing NGS work library complexity, required depth of coverage, mutant allele frequencies (AFs), and overall performance.
NGS testing on lung cancer cytological specimens
The European Congress of Pathology cytology workshop also stated that the most common application of NGS panel in cytology is for predictive biomarker testing in lung cancer [34]. This is due to the fact that a large fraction of NSCLC patients are diagnosed in advance, inoperable stage of disease and cytology is commonly the only available tumor material. According to recent guidelines [7, 35], it is a standard of care to test all advanced-stage patients with non-squamous morphology at least for EGFR (indel-mutations), BRAF (mutations), ALK (gene fusions and mutations), and ROS1 (gene fusions). MET (mutations and amplification), RET (gene fusions), NTRK1/2/3 (gene fusions), and ERBB2 (mutations and amplification) should be included in any expanded panel, in case there is access to the corresponding targeted drugs via clinical trials or compassionate use programs. NGS assays can be reliably carried out on any kind of routine lung cancer cytology specimen to assess DNA targets. In fact, in the experience of one of the authors, the rejection rate for NGS-based predictive gene mutation testing in cytology using laser microdissection needed is less than 5%, even in pauci-cellular specimens as bronchial secretions, for example. However, publications are still limited for simultaneous RNA-based detection of gene rearrangements [13]. As a general rule, there are two major approaches used for detection of gene fusions in lung cancer by NGS, either to sequence DNA using hybrid capture method or to sequence RNA (cDNA) by amplification-based methods [25]. This latter approach requires little RNA input but may fall short to capture large exons/introns sequences that are most frequently involved in the fusion of interest in lung cancer [25]. Future perspectives may lead to the validation of hybrid capture strategies; as an example, the Memorial Sloan Kettering Cancer Center Experience suggests that broader-based NGS assays may be performed even on cytological samples when the whole testing workflow is optimized by a cohesive group-based approach including clinical, cytopathology, surgical pathology, molecular, and bioinformatics teams [15]. Moreover, technology is advancing at a rapid speed, and novel transcriptome-based platforms are emerging. In particular, when the extracted RNA is of poor quality and the target capture amplification fails, the alternative nCounter Analysis System (NanoString Technologies Inc., Seattle, WA) can be a viable choice to provide a single-tube test for ALK, ROS1, and RET. [36, 37]
NGS testing to refine uncertain pancreatic cytological diagnoses
The workshop at the 30th European Congress of Pathology also aimed to illustrate the clinical potential of NGS on cytology. To give a hint of the possibility of this modern technology to refine uncertain cytological diagnoses, the paradigm of FNA of pancreatic lesions was used. Pancreatic tumors are a heterogeneous group of lesions, both cystic and solid, malignant and benign, or of low malignant potential, which need to be distinguished from mimickers (chronic pancreatitis and pseudocysts). There is a good phenotype-genotype correlation. Pancreatic ductal adenocarcinoma (PDAC) has a high prevalence of KRAS, CDKN2A/p16, DPC4/SMAD4, and TP53 mutations, which are relatively uncommon in other forms of pancreatic tumors. Pancreatic acinic adenocarcinoma (PAAC) features APC inactivation (by promoter hypermethylation or gene mutation), or less frequently mutations of the beta-catenin gene CTNNB1 (like APC an element of the WNT pathway). CTNNB1 mutations characterize instead of solid pseudopapillary neoplasms (SPNs), where they are found in the vast majority of cases. Among cystic tumors, intraductal papillary mucinous neoplasms (IPMNs) typically have GNAS, RNF43, and KRAS mutations, the latter also common in mucinous cystic neoplasms (MCNs), while serous cystadenoma (SCA) is characterized by VHL alterations (inactivating mutation or loss of heterozygosity in sporadic cases, germline mutations in patients with the Von Hippel-Lindau syndrome). Sporadic pancreatic neuroendocrine tumors (Pan-NETs) have mutually exclusive DAXX and ATRX mutations and MEN1 mutations, while MEN1, VHL, NF-1, or TSC1/2 germline mutations are found in Pan-NETs that develop in patients with inherited neuroendocrine genetic syndromes [38, 39].
Surgical resections of pancreatic tumors are often complex procedures mandating a preoperative diagnosis as accurate as possible. Even for unresectable tumors, an accurate diagnosis is essential to define the best treatment options [40, 41]. Accuracy has greatly improved since the widespread introduction of endoscopic ultrasound (EUS)–guided FNA. However, in many cases, the preoperative evaluation remains inconclusive because of insufficient material or limited cellularity, leading to atypical/suspicious cytopathologic diagnoses. Single gene, typically KRAS, analysis of cytologic material has proven useful, but NGS is opening new avenues to improve the preoperative diagnosis [42,43,44]. NGS has three features that make it a suitable adjunct to the preoperative evaluation of pancreatic lesions: (a) it has high analytical sensitivity, essential to characterize those samples that are limited or heterogeneous; (b) it allows for multiple gene testing; (c) it allows for relative quantification of the mutant allele in the specimen (mutant allele frequency, MAF).
In the last 10 years, NGS has been successfully applied to the evaluation of (i) solid masses [45,46,47,48,49,50,51,52,53,54,55]; (ii) cyst fluid [45, 47, 53, 56,57,58,59,60,61]; (iii) other fluid material (e.g., pancreatic juice, peripheral blood) [62,63,64]. The results of these studies have consistently shown a great promise for the preoperative classification of both solid lesions and cysts. While KRAS remains the gene most widely studied for pre-operative single gene tests, NGS analysis of multiple gene markers (to include KRAS, CDKN2A/p16, DPC4/SMAD4, TP53, GNAS, RNF43, CTNNB1, BRAF, PIK3CA) is becoming very attractive for the diagnosis, management and pre-operative risk stratification of patients with pancreatic cancer [44, 55, 58].
Others application of NGS on cytological specimens
There has been a lot of effort in developing molecular tests, which could improve the sensitivity and specificity of thyroid FNA in order to reduce the need for surgery. The recently developed ThyroSeq NGS assay, designed for sensitive detection of thyroid cancer-related gene mutations and rearrangements on FNA specimens, shows promising results. However, it is only available as a commercial test, outsourced in a private US laboratory [65, 66]. A generic cancer panel, such as Ion AmpliSeq Cancer Hotspot Panel v2 (CHPv2), which includes the genes most frequently mutated in papillary thyroid carcinomas, is commercially available and may represent an alternative to thyroid-specific panels [67].
Effusions are an example of a very rich cytological material where we can study molecular alterations during cancer progression. Most of the applications of NGS in effusions are related to in lung cancer, but also in other cancer types as for example in ovarian cancer for BRCA testing [68]. In salivary gland, pancreas, and biliary tract cytology, where the morphology can be very challenging, NGS can add to an unequivocal diagnosis [50]. In pancreas and biliary tract cytology, the amount of tumor cells may not be abundant, but since around 200 cells are enough to perform NGS, it will be applicable to most cases.
Conclusion
Since morphological evaluation of neoplastic cells aided by immunocytochemical studies commonly provides only limited information on diagnostic, prognostic, and predictive tumor features, molecular techniques have deeply transformed the way in which we practice cytopathology. In this setting, NGS is a modern tool for modern cytopathologists. It is widely held that this technique is feasible on most cytological samples. Future challenges can give tremendous opportunities to fully exploit the potential of this fascinating technique. In particular, we foresee that a new generation of sequencing platforms may better capitalize the informativeness of pauci-cellular cytological samples. Moreover, larger gene panels may provide information not only on the most frequent and clinical validated targets, but also on a growing number of actionable molecular modifications. Modern cytopathologists should more and more engage with the clinical, molecular, and therapeutic aspects of cancer care to play a significant role in personalized medicine.
References
Salto-Tellez M (2015) Diagnostic molecular cytopathology - a further decade of progress. Cytopathology 26:269–270
Bellevicine C, Malapelle U, Vigliar E, Pisapia P, Vita G, Troncone G (2017) How to prepare cytological samples for molecular testing. J Clin Pathol 70:819–826
Roy-Chowdhuri S, Stewart J (2016) Preanalytic variables in cytology: lessons learned from next-generation sequencing-the MD Anderson experience. Arch Pathol Lab Med 140:1191–1199
Killian JK, Walker RL, Suuriniemi M, Jones L, Scurci S, Singh P, Cornelison R, Harmon S, Boisvert N, Zhu J, Wang Y, Bilke S, Davis S, Giaccone G, Smith WI Jr, Meltzer PS (2010) Archival fine-needle aspiration cytopathology (FNAC) samples: untapped resource for clinical molecular profiling. J Mol Diagn 12:739–745
Rekhtman N, Roy-Chowdhuri S (2016) Cytology specimens: a goldmine for molecular testing. Arch Pathol Lab Med 140:1189–1190
Idowu MO (2013) Epidermal growth factor receptor in lung cancer: the amazing interplay of molecular testing and cytopathology. Cancer Cytopathol 121:540–543
Lindeman NI, Cagle PT, Aisner DL, Arcila ME, Beasley MB, Bernicker EH, Colasacco C, Dacic S, Hirsch FR, Kerr K, Kwiatkowski DJ, Ladanyi M, Nowak JA, Sholl L, Temple-Smolkin R, Solomon B, Souter LH, Thunnissen E, Tsao MS, Ventura CB, Wynes MW, Yatabe Y (2018) Updated molecular testing guideline for the selection of lung cancer patients for treatment with targeted tyrosine kinase inhibitors: guideline from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology. Arch Pathol Lab Med 142:321–346
Bellevicine C, Vita GD, Malapelle U, Troncone G (2013) Applications and limitations of oncogene mutation testing in clinical cytopathology. Semin Diagn Pathol 30:284–297
Roy-Chowdhuri S, Chow CW, Kane MK, Yao H, Wistuba II, Krishnamurthy S, Stewart J, Staerkel G (2016) Optimizing the DNA yield for molecular analysis from cytologic preparations. Cancer Cytopathol 124:254–260
Roy-Chowdhuri S, Goswami RS, Chen H, Patel KP, Routbort MJ, Singh RR, Broaddus RR, Barkoh BA, Manekia J, Yao H, Medeiros LJ, Staerkel G, Luthra R, Stewart J (2015) Factors affecting the success of next-generation sequencing in cytology specimens. Cancer Cytopathol 123:659–668
Roy-Chowdhuri S, Chen H, Singh RR, Krishnamurthy S, Patel KP, Routbort MJ, Manekia J, Barkoh BA, Yao H, Sabir S, Broaddus RR, Medeiros LJ, Staerkel G, Stewart J, Luthra R (2017) Concurrent fine needle aspirations and core needle biopsies: a comparative study of substrates for next-generation sequencing in solid organ malignancies. Mod Pathol 30:499–508
Guseva NV, Jaber O, Stence AA, Sompallae K, Bashir A, Sompallae R, Bossler AD, Jensen CS, Ma D (2018) Simultaneous detection of single-nucleotide variant, deletion/insertion, and fusion in lung and thyroid carcinoma using cytology specimen and an RNA-based next-generation sequencing assay. Cancer Cytopathol 126:158–169
Velizheva NP, Rechsteiner MP, Wong CE, Zhong Q, Rössle M, Bode B, Moch H, Soltermann A, Wild PJ, Tischler V (2017) Cytology smears as excellent starting material for next-generation sequencing-based molecular testing of patients with adenocarcinoma of the lung. Cancer Cytopathol 125:30–40
Padmanabhan V, Steinmetz HB, Rizzo EJ, Erskine AJ, Fairbank TL, de Abreu FB, Tsongalis GJ, Tafe LJ (2017) Improving adequacy of small biopsy and fine-needle aspiration specimens for molecular testing by next-generation sequencing in patients with lung cancer: a quality improvement study at Dartmouth-Hitchcock Medical Center. Arch Pathol Lab Med 141:402–409
Tian SK, Killian JK, Rekhtman N, Benayed R, Middha S, Ladanyi M, Lin O, Arcila ME (2016) Optimizing workflows and processing of cytologic samples for comprehensive analysis by next-generation sequencing: memorial Sloan Kettering Cancer center experience. Arch Pathol Lab Med 140:1200–1205
Salto-Tellez M (2018) More than a decade of molecular diagnostic cytopathology leading diagnostic and therapeutic decision-making. Arch Pathol Lab Med 142:443–445
Vigliar E, Malapelle U, de Luca C, Bellevicine C, Troncone G (2015) Challenges and opportunities of next-generation sequencing: a cytopathologist’s perspective. Cytopathology 26:271–283
Dejmek A, Zendehrokh N, Tomaszewska M, Edsjö A (2013) Preparation of DNA from cytological material: effects of fixation, staining, and mounting medium on DNA yield and quality. Cancer Cytopathol 121:344–353
Gailey MP, Stence AA, Jensen CS, Ma D (2015) Multiplatform comparison of molecular oncology tests performed on cytology specimens and formalin-fixed, paraffin-embedded tissue. Cancer Cytopathol 123:30–39
Roy-Chowdhuri S, Mehrotra M, Bolivar AM, Kanagal-Shamanna R, Barkoh BA, Hannigan B, Zalles S, Ye W, Duose D, Broaddus R, Staerkel G, Wistuba I, Medeiros LJ, Luthra R (2018) Salvaging the supernatant: next generation cytopathology for solid tumor mutation profiling. Mod Pathol 31:1036–1045
Kanagal-Shamanna R, Portier BP, Singh RR, Routbort MJ, Aldape KD, Handal BA, Rahimi H, Reddy NG, Barkoh BA, Mishra BM, Paladugu AV, Manekia JH, Kalhor N, Chowdhuri SR, Staerkel GA, Medeiros LJ, Luthra R, Patel KP (2014) Next-generation sequencing-based multi-gene mutation profiling of solid tumors using fine needle aspiration samples: promises and challenges for routine clinical diagnostics. Mod Pathol 27:314–327
Hynes SO, Pang B, James JA, Maxwell P, Salto-Tellez M (2017) Tissue-based next-generation sequencing: application in a universal healthcare system. Br J Cancer F116:553–560
van der Velden DL, van Herpen CML, van Laarhoven HWM, Smit EF, Groen HJM, Willems SM, Nederlof PM, Langenberg MHG, Cuppen E, Sleijfer S, Steeghs N, Voest EE (2017) Molecular tumor boards: current practice and future needs. Ann Oncol 28:3070–3075
Kron F, Kostenko A, Scheffler M, Müller D, Glossmann JP, Fischer R, Michels S, Nogova L, Hallek M, Zander T, Wolf J (2017) Economic burden of clinical trials in lung cancer in a German Comprehensive Cancer Center. Lung Cancer 108:134–139
Jennings LJ, Arcila ME, Corless C, Kamel-Reid S, Lubin IM, Pfeifer J, Temple-Smolkin RL, Voelkerding KV, Nikiforova MN (2017) Guidelines for validation of next-generation sequencing-based oncology panels: a joint consensus recommendation of the Association for Molecular Pathology and College of American Pathologists. J Mol Diagn 19:341–365
Maxwell P, Hynes SO, Fuchs M, Craig S, McGready C, McLean F, McQuaid S, James J, Salto-Tellez M (2018) Practical guide for the comparison of two next-generation sequencing systems for solid tumour analysis in a universal healthcare system. J Clin Pathol
Suh JH, Johnson A, Albacker L, Wang K, Chmielecki J, Frampton G, Gay L, Elvin JA, Vergilio JA, Ali S, Miller VA, Stephens PJ, Ross JS (2016) Comprehensive genomic profiling facilitates implementation of the National Comprehensive Cancer Network Guidelines for Lung Cancer biomarker testing and identifies patients who may benefit from enrollment in mechanism-driven clinical trials. Oncologist 21:684–691
Turner SR, Buonocore D, Desmeules P, Rekhtman N, Dogan S, Lin O, Arcila ME, Jones DR, Huang J (2018) Feasibility of endobronchial ultrasound transbronchial needle aspiration for massively parallel next-generation sequencing in thoracic cancer patients. Lung Cancer 119:85–90
Malapelle U, Mayo de Las-Casas C, Rocco D, Garzon M, Pisapia P, Jordana-Ariza N, Russo M, Sgariglia R, De Luca C, Pepe F, Martinez-Bueno A, Morales-Espinosa D, González-Cao M, Karachaliou N, Viteri Ramirez S, Bellevicine C, Molina-Vila MA, Rosell R, Troncone G (2017) Development of a gene panel for next-generation sequencing of clinically relevant mutations in cell-free DNA from cancer patients. Br J Cancer 116:802–810
Karnes HE, Duncavage EJ, Bernadt CT (2014) Targeted next-generation sequencing using fine-needle aspirates from adenocarcinomas of the lung. Cancer Cytopathol 122:104–113
Pisapia P, Pepe F, Smeraglio R, Russo M, Rocco D, Sgariglia R, Nacchio M, De Luca C, Vigliar E, Bellevicine C, Troncone G, Malapelle U (2017) Cell free DNA analysis by SiRe(®) next generation sequencing panel in non-small cell lung cancer patients: focus on basal setting. J Thorac Dis 9(Suppl 13):S1383–S1390
Pepe F, De Luca C, Smeraglio R, Pisapia P, Sgariglia R, Nacchio M, Russo M, Serra N, Rocco D, Battiloro C, Ambrosio F, Gragnano G, Vigliar E, Bellevicine C, Troncone G, Malapelle U (2019) Performance analysis of SiRe next-generation sequencing panel in diagnostic setting: focus on NSCLC routine samples. J Clin Pathol 72:38–45
Malapelle U, Mayo-de-Las-Casas C, Molina-Vila MA, Rosell R, Savic S, Bihl M, Bubendorf L, Salto-Tellez M, de Biase D, Tallini G, Hwang DH, Sholl LM, Luthra R, Weynand B, Vander Borght S, Missiaglia E, Bongiovanni M, Stieber D, Vielh P, Schmitt F, Rappa A, Barberis M, Pepe F, Pisapia P, Serra N, Vigliar E, Bellevicine C, Fassan M, Rugge M, de Andrea CE, Lozano MD, Basolo F, Fontanini G, Nikiforov YE, Kamel-Reid S, da Cunha SG, Nikiforova MN, Roy-Chowdhuri S, Troncone G, Molecular Cytopathology Meeting Group (2017) Consistency and reproducibility of next-generation sequencing and other multigene mutational assays: a worldwide ring trial study on quantitative cytological molecular reference specimens. Cancer Cytopathol 125:615–626
Jain D, Roy-Chowdhuri S (2018) Molecular pathology of lung cancer cytology specimens: a concise review. Arch Pathol Lab Med 142:1127–1133
Ettinger DS, Aisner DL, Wood DE, Akerley W, Bauman J, Chang JY, Chirieac LR, D’Amico TA, Dilling TJ, Dobelbower M, Govindan R, Gubens MA, Hennon M, Horn L, Lackner RP, Lanuti M, Leal TA, Lilenbaum R, Lin J, Loo BW Jr, Martins R, Otterson GA, Patel SP, Reckamp K, Riely GJ, Schild SE, Shapiro TA, Stevenson J, Swanson SJ, Tauer K, Yang SC, Gregory K, Hughes M (2018) NCCN guidelines insights: non-small cell lung cancer, version 5.2018. J Natl Compr Cancer Netw 16:807–821
Alì G, Bruno R, Savino M, Giannini R, Pelliccioni S, Menghi M, Boldrini L, Proietti A, Chella A, Ribechini A, Fontanini G (2018) Analysis of fusion genes by NanoString system: a role in lung cytology? Arch Pathol Lab Med 142:480–489
Sgariglia R, Pisapia P, Nacchio M, De Luca C, Pepe F, Russo M, Bellevicine C, Troncone G, Malapelle U (2017) Multiplex digital colour-coded barcode technology on RNA extracted from routine cytological samples of patients with non-small cell lung cancer: pilot study. J Clin Pathol 70:803–806
Cancer Genome Atlas Research Network (2017) Electronic address: andrew_aguirre@dfci.harvard.edu; Cancer Genome Atlas Research Network. Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma. Cancer Cell 32:185–203.e13
Pancreas and ampullary region, in Rosai and Ackerman’s Surgical Pathology 11th edition, by Goldblum, Lamps, McKenney and Myers (2018) Elsevier, pp 886–933
Masetti M, Acquaviva G, Visani M, Tallini G, Fornelli A, Ragazzi M, Vasuri F, Grifoni D, Di Giacomo S, Fiorino S, Lombardi R, Tuminati D, Ravaioli M, Fabbri C, Bacchi-Reggiani ML, Pession A, Jovine E, de Biase D (2018) Long-term survivors of pancreatic adenocarcinoma show low rates of genetic alterations in KRAS, TP53 and SMAD4. Cancer Biomark 21:323–334
Pishvaian MJ, Bender RJ, Halverson D, Rahib L, Hendifar AE, Mikhail S, Chung V, Picozzi VJ, Sohal D, Blais EM, Mason K, Lyons EE, Matrisian LM, Brody JR, Madhavan S, Petricoin EF 3rd (2018) Molecular profiling of patients with pancreatic cancer: initial results from the know your tumor initiative. Clin Cancer Res 24:5018–5027
de Biase D, de Luca C, Gragnano G, Visani M, Bellevicine C, Malapelle U, Tallini G, Troncone G (2016) Fully automated PCR detection of KRAS mutations on pancreatic endoscopic ultrasound fine-needle aspirates. J Clin Pathol doi: 10.1136
Fabbri C, Gibiino G, Fornelli A, Cennamo V, Grifoni D, Visani M, Acquaviva G, Fassan M, Fiorino S, Giovanelli S, Bassi M, Ghersi S, Tallini G, Jovine E, Gasbarrini A, de Biase D (2017) Team work and cytopathology molecular diagnosis of solid pancreatic lesions. Dig Endosc 29:657–666
de Biase D, Visani M, Acquaviva G, Fornelli A, Masetti M, Fabbri C, Pession A, Tallini G (2018) The role of next-generation sequencing in the cytologic diagnosis of pancreatic lesions. Arch Pathol Lab Med 142:458–464
Young G, Wang K, He J, Otto G, Hawryluk M, Zwirco Z, Brennan T, Nahas M, Donahue A, Yelensky R, Lipson D, Sheehan CE, Boguniewicz AB, Stephens PJ, Miller VA, Ross JS (2013) Clinical next-generation sequencing successfully applied to fine-needle aspirations of pulmonary and pancreatic neoplasms. Cancer Cytopathol 121:688–694
Visani M, de Biase D, Baccarini P, Fabbri C, Polifemo AM, Zanini N, Pession A, Tallini G (2013) Multiple KRAS mutations in pancreatic adenocarcinoma: molecular features of neoplastic clones indicate the selection of divergent populations of tumor cells. Int J Surg Pathol 21:546–552
de Biase D, Visani M, Baccarini P, Polifemo AM, Maimone A, Fornelli A, Giuliani A, Zanini N, Fabbri C, Pession A, Tallini G (2014) Next generation sequencing improves the accuracy of KRAS mutation analysis in endoscopic ultrasound fine needle aspiration pancreatic lesions. PLoS One 9:e87651. https://doi.org/10.1371/journal.pone.0087651
Di Marco M, Astolfi A, Grassi E, Vecchiarelli S, Macchini M, Indio V, Casadei R, Ricci C, D’Ambra M, Taffurelli G, Serra C, Ercolani G, Santini D, D’Errico A, Pinna AD, Minni F, Durante S, Martella LR, Biasco G (2015) Characterization of pancreatic ductal adenocarcinoma using whole transcriptome sequencing and copy number analysis by single-nucleotide polymorphism array. Mol Med Rep 12:7479–7484
Kubota Y, Kawakami H, Natsuizaka M, Kawakubo K, Marukawa K, Kudo T, Abe Y, Kubo K, Kuwatani M, Hatanaka Y, Mitsuhashi T, Matsuno Y, Sakamoto N (2015) CTNNB1 mutational analysis of solid-pseudopapillary neoplasms of the pancreas using endoscopic ultrasound-guided fine-needle aspiration and next-generation deep sequencing. J Gastroenterol 50:203–210
Dudley JC, Zheng Z, McDonald T, Le LP, Dias-Santagata D, Borger D, Batten J, Vernovsky K, Sweeney B, Arpin RN, Brugge WR, Forcione DG, Pitman MB, Iafrate AJ (2016) Next-generation sequencing and fluorescence in situ hybridization have comparable performance characteristics in the analysis of pancreaticobiliary brushings for malignancy. J Mol Diagn 18:124–130
Kameta E, Sugimori K, Kaneko T, Ishii T, Miwa H, Sato T, Ishii Y, Sue S, Sasaki T, Yamashita Y, Shibata W, Matsumoto N, Maeda S (2016) Diagnosis of pancreatic lesions collected by endoscopic ultrasound-guided fine-needle aspiration using next-generation sequencing. Oncol Lett 12:3875–3881
Valero V 3rd, Saunders TJ, He J, Weiss MJ, Cameron JL, Dholakia A, Wild AT, Shin EJ, Khashab MA, O’Broin-Lennon AM, Ali SZ, Laheru D, Hruban RH, Iacobuzio-Donahue CA, Herman JM, Wolfgang CL (2016) Reliable detection of somatic mutations in fine needle aspirates of pancreatic cancer with next-generation sequencing: implications for surgical management. Ann Surg 263:153–161
Gleeson FC, Kerr SE, Kipp BR, Voss JS, Minot DM, Tu ZJ, Henry MR, Graham RP, Vasmatzis G, Cheville JC, Lazaridis KN, Levy MJ (2016) Targeted next generation sequencing of endoscopic ultrasound acquired cytology from ampullary and pancreatic adenocarcinoma has the potential to aid patient stratification for optimal therapy selection. Oncotarget 7:54526–54536. https://doi.org/10.18632/oncotarget.9440
Sibinga Mulder BG, Mieog JS, Handgraaf HJ, Farina Sarasqueta A, Vasen HF, Potjer TP, Swijnenburg RJ, Luelmo SA, Feshtali S, Inderson A, Vahrmeijer AL, Bonsing BA, van Wezel T, Morreau H (2017) Targeted next-generation sequencing of FNA-derived DNA in pancreatic cancer. J Clin Pathol 70:174–178
Sibinga Mulder BG, Mieog JSD, Farina Sarasqueta A, Handgraaf HJ, Vasen HFA, Swijnenburg RJ, Luelmo SAC, Feshtali S, Inderson A, Vahrmeijer AL, Bonsing BA, Wezel TV, Morreau H (2018) Diagnostic value of targeted next-generation sequencing in patients with suspected pancreatic or periampullary cancer. J Clin Pathol 71:246–252
Amato E, Molin MD, Mafficini A, Yu J, Malleo G, Rusev B, Fassan M, Antonello D, Sadakari Y, Castelli P, Zamboni G, Maitra A, Salvia R, Hruban RH, Bassi C, Capelli P, Lawlor RT, Goggins M, Scarpa A (2014) Targeted next-generation sequencing of cancer genes dissects the molecular profiles of intraductal papillary neoplasms of the pancreas. J Pathol 233:217–227
Wang J, Paris PL, Chen J, Ngo V, Yao H, Frazier ML, Killary AM, Liu CG, Liang H, Mathy C, Bondada S, Kirkwood K, Sen S (2015) Next generation sequencing of pancreatic cyst fluid microRNAs from low grade-benign and high grade-invasive lesions. Cancer Lett 356:404–409
Springer S, Wang Y, Dal Molin M, Masica DL, Jiao Y, Kinde I, Blackford A, Raman SP, Wolfgang CL, Tomita T, Niknafs N, Douville C, Ptak J, Dobbyn L, Allen PJ, Klimstra DS, Schattner MA, Schmidt CM, Yip-Schneider M, Cummings OW, Brand RE, Zeh HJ, Singhi AD, Scarpa A, Salvia R, Malleo G, Zamboni G, Falconi M, Jang JY, Kim SW, Kwon W, Hong SM, Song KB, Kim SC, Swan N, Murphy J, Geoghegan J, Brugge W, Fernandez-Del Castillo C, Mino-Kenudson M, Schulick R, Edil BH, Adsay V, Paulino J, van Hooft J, Yachida S, Nara S, Hiraoka N, Yamao K, Hijioka S, van der Merwe S, Goggins M, Canto MI, Ahuja N, Hirose K, Makary M, Weiss MJ, Cameron J, Pittman M, Eshleman JR, Diaz LA Jr, Papadopoulos N, Kinzler KW, Karchin R, Hruban RH, Vogelstein B, Lennon AM (2015) A combination of molecular markers and clinical features improve the classification of pancreatic cysts. Gastroenterology 149:1501–1510
Jones M, Zheng Z, Wang J, Dudley J, Albanese E, Kadayifci A, Dias-Santagata D, Le L, Brugge WR, Fernandez-del Castillo C, Mino-Kenudson M, Iafrate AJ, Pitman MB (2016) Impact of next-generation sequencing on the clinical diagnosis of pancreatic cysts. Gastrointest Endosc 83:140–148
Rosenbaum MW, Jones M, Dudley JC, Le LP, Iafrate AJ, Pitman MB (2017) Next-generation sequencing adds value to the preoperative diagnosis of pancreatic cysts. Cancer Cytopathol 125:41–47
Singhi AD, McGrath K, Brand RE, Khalid A, Zeh HJ, Chennat JS, Fasanella KE, Papachristou GI, Slivka A, Bartlett DL, Dasyam AK, Hogg M, Lee KK, Marsh JW, Monaco SE, Ohori NP, Pingpank JF, Tsung A, Zureikat AH, Wald AI, Nikiforova MN (2018) Preoperative next-generation sequencing of pancreatic cyst fluid is highly accurate in cyst classification and detection of advanced neoplasia. Gut 67:2131–2141
Zill OA, Greene C, Sebisanovic D, Siew LM, Leng J, Vu M, Hendifar AE, Wang Z, Atreya CE, Kelley RK, Van Loon K, Ko AH, Tempero MA, Bivona TG, Munster PN, Talasaz A, Collisson EA (2015) Cell-free DNA next-generation sequencing in pancreatobiliary carcinomas. Cancer Discov 5:1040–1048
Berger AW, Schwerdel D, Costa IG, Hackert T, Strobel O, Lam S, Barth TF, Schröppel B, Meining A, Büchler MW, Zenke M, Hermann PC, Seufferlein T, Kleger A (2016) Detection of hot-spot mutations in circulating cell-free DNA from patients with intraductal papillary mucinous neoplasms of the pancreas. Gastroenterology 151:267–270
Yu J, Sadakari Y, Shindo K, Suenaga M, Brant A, Almario JAN, Borges M, Barkley T, Fesharakizadeh S, Ford M, Hruban RH, Shin EJ, Lennon AM, Canto MI, Goggins M (2017) Digital next-generation sequencing identifies low-abundance mutations in pancreatic juice samples collected from the duodenum of patients with pancreatic cancer and intraductal papillary mucinous neoplasms. Gut 66:1677–1687
Paschke R, Cantara S, Crescenzi A, Jarzab B, Musholt TJ, Sobrinho Simoes M (2017) European thyroid association guidelines regarding thyroid nodule molecular fine-needle aspiration cytology diagnostics. Eur Thyroid J 6:115–129
Steward DL, Carty SE, Sippel RS, Yang SP, Sosa JA, Sipos JA, Figge JJ, Mandel S, Haugen BR, Burman KD, Baloch ZW, Lloyd RV, Seethala RR, Gooding WE, Chiosea SI, Gomes-Lima C, Ferris RL, Folek JM, Khawaja RA, Kundra P, Loh KS, Marshall CB, Mayson S, McCoy KL, Nga ME, Ngiam KY, Nikiforova MN, Poehls JL, Ringel MD, Yang H, Yip L, Nikiforov YE (2018) Performance of a multigene genomic classifier in thyroid nodules with indeterminate cytology: a prospective blinded multicenter study. JAMA Oncol
Bellevicine C, Sgariglia R, Malapelle U, Vigliar E, Nacchio M, Ciancia G, Eszlinger M, Paschke R, Troncone G (2016) Young investigator challenge: can the ion AmpliSeq Cancer Hotspot Panel v2 be used for next-generation sequencing of thyroid FNA samples? Cancer Cytopathol 124:776–784
Shah RH, Scott SN, Brannon AR, Levine DA, Lin O, Berger MF (2015) Comprehensive mutation profiling by next-generation sequencing of effusion fluids from patients with high-grade serous ovarian carcinoma. Cancer Cytopathol 123:289–297
Author information
Authors and Affiliations
Contributions
Sinchita Roy-Chowdhuri, Manuel Salto-Tellez, Spasenija Savic, Giovanni Tallini, Giancarlo Troncone, and Fernando Schmitt conceived the review; Sinchita Roy-Chowdhuri, Pasquale Pisapi, Manuel Salto-Tellez, Spasenija Savic, Mariantonia Nacchio, Dario de Biase, Giovanni Tallini, Giancarlo Troncone, and Fernando Schmitt wrote the manuscript and approved the final version.
Corresponding author
Ethics declarations
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this review, formal consent is not required.
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Roy-Chowdhuri, S., Pisapia, P., Salto-Tellez, M. et al. Invited review—next-generation sequencing: a modern tool in cytopathology. Virchows Arch 475, 3–11 (2019). https://doi.org/10.1007/s00428-019-02559-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00428-019-02559-z