Erb‐b2 receptor tyrosine kinase 2 ( ERBB2 )‐activating mutations are therapeutically actionable alterations found in various cancers, including metastatic breast cancer (MBC). We developed multiplex digital PCR assays to detect and quantify ERBB2 mutations in circulating tumor DNA from liquid biopsies. We studied the plasma from 272 patients with hormone‐receptor‐positive, human epidermal growth factor receptor 2‐negative (HR+/HER2−) MBC to detect 17 ERBB2 mutations using a screening assay. The assay was developed on the three‐color Crystal dPCR™ naica® platform with a two‐step strategy for precise mutation identification. We found that nine patients (3.3%) harbored at least one ERBB2 mutation. The mutation rate was higher in patients with lobular histology (5.9%) compared to invasive breast carcinoma of no special type (2.6%). A total of 12 mutations were found with the following frequencies: L755S (25.00%), V777L (25.00%), S310Y (16.67%), L869R (16.67%), S310F (8.33%), and D769H (8.33%). Matched tumor samples from six patients identified the same mutations with an 83% concordance rate. In summary, our highly sensitive multiplex digital PCR assays are well suited for plasma‐based monitoring of ERBB2 mutational status in patients with MBC.
Tumor heterogeneity and plasticity, driven by Epithelial-Mesenchymal Transition (EMT), enable cancer therapeutic resistance. We previously showed that EMT promotes primary cilia formation, which enables stemness and tumorigenesis in triple-negative breast cancer (TNBC). Here, we establish a role for primary cilia in human TNBC chemotherapeutic resistance. We developed patient-derived organoids, and showed that these recapitulated the cellular heterogeneity of TNBC biopsies. Notably, one of the identified cell states bore a quasi-mesenchymal phenotype, primary cilia, and stemness signatures. We treated our TNBC organoids with chemotherapeutics and observed partial killing. The surviving cells with organoid-reconstituting capacity showed selective enrichment for the quasi-mesenchymal ciliated cell subpopulation. Genomic analyses argue that this enrichment reflects a combination of pre-existing cells and ones that arose through drug-induced cellular plasticity. We developed a family of small-molecule inhibitors of ciliogenesis and show that these, or genetic ablation of primary cilia, suppress chemoresistance. We conclude that primary cilia help TNBC to evade chemotherapy. Significance Cancer cells that activate EMT to acquire a quasi-mesenchymal state form primary cilia to evade chemotherapy in human triple-negative breast cancer. Pharmacological inhibition of primary ciliogenesis counteracts EMT-induced chemoresistance. ### Competing Interest Statement The authors have declared no competing interest.
Abstract Blood-based liquid biopsies have become a real asset for patient treatment management in the field of precision oncology over the past few years, as they allow quick and easy access to tumor genetic alterations of interest. The analysis of circulating tumor DNA (ctDNA) from these liquid biopsies is a particularly well-suited strategy for longitudinal monitoring of patients. In patients with HR+/HER2- metastatic breast cancer (MBC), early detection of ESR1 and PIK3CA mutations is a key element to better personalize disease management. Among the technologies currently used for liquid biopsies, digital PCR (dPCR) has the advantage of being among the fastest and least expensive, providing robust results along with unmatched sensitivity as compared to other methods. Until recently, however, dPCR has been previously limited by multiplex capability. The recent availability of the 6-color version of the naica® platform (Stilla Technologies) has allowed us to develop a single-well multiplexed assay that combines an 11 pathogenic mutation ESR1 assay with a 21 mutation PIK3CA assay, for a combined total of 32 ESR1 and PIK3CA mutations. Here we present data on this new high-plex dPCR panel. As ESR1 and PIK3CA analyses are often requested together, this new screening assay represents a significant saving of time and resources for the analysis of our MBC patients with a relative ease of implementation and analysis. Citation Format: Veronique Quillien, Julien Corne, Thibault De la Motte Rouge, Fanny Le Du, Florence Godey. Development of a 6-color multiplex Crystal Digital PCR assay for the detection of ESR1 and PIK3CA mutations in the plasma of metastatic breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2314.
Blood-based liquid biopsies have become a real asset for patient treatment management in the field of precision oncology over the past few years, has it allows quick and easy access to tumor genetic alterations of interest. Indeed, circulating tumor DNA (ctDNA) analysis is particularly well suited for longitudinal monitoring with the advantage of covering the potential genetic heterogeneity of metastatic lesions. For Hormone Receptor-positive (HR+) Metastatic Breast Cancer (MBC) patients, mutations on the ESR1 (encoding the estrogen receptor (ER) alpha), and PIK3CA (encoding the phosphatidylinositol-3-kinase (PI3K) catalytic subunit p110-alpha) genes are emerging clinical biomarkers that can both guide clinicians in their choice of treatment. Among the technologies currently used for liquid biopsies, digital PCR (dPCR) has the advantage of being among the fastest and least expensive, providing robust results with high sensitivities. Using the Naica® 3-color dPCR platform (Stilla Technologies), we previously developed two multiplexed assays that detects, in a single well, either 11 ESR1 (publication in preparation) or 21 PIK3CA pathogenic mutations (J. Corné et al., 2021, Scientific Reports). The recent availability of the 6-color version of the Naica® platform has allowed us to develop a single 6-color multiplexed assay that combines the two previously developed 3-color ESR1 and PIK3CA assays. This new screening assay, which combines two drop-off systems for the detection of 536-540 ESR1 and 542-546 PIK3CA hotspot mutations, has already shown great performances for the analysis of the 32 targeted ESR1/PIK3CA mutations, with results similar to those obtained with the 3-color assays currently used routinely in our laboratory. As ESR1 and PIK3CA analyses are often requested together, this new screening assay represents a significant saving of time and resources for the analysis of our MBC patients with a relative ease of implementation and analysis.
Purpose Triple-negative breast cancers (TNBC) account for 15% of all breast cancers but carry the worst prognosis. Because of their heterogenicity, these tumors are not all prone to targeted therapies. However, due to their high immune infiltration, targeting their immune microenvironment is of tremendous interest and is becoming the standard of care for high-risk early-stage TNBC. Nevertheless, the characterization of this immune infiltrate is often limited to general tumor-infiltrating lymphocytes (TILs) counting, without characterization of lymphocytes subtypes. Thus, we aimed at precisely characterizing these sub-populations and evaluating their prognostic significance.Methods We selected 91 TNBC tumors for which we had both the TILs count on hematoxylin and eosin (H&E) slides determined by an expert pathologist and the immune microenvironment cell subtypes characterization using flow cytometry (FC). We then compared the prognostic value of immune microenvironment subpopulations vs total TILs count.Results TNBCs contained a mean of 22.8±25.9% TILs in the tumor surface area, including mainly CD4+ helper T lymphocytes (14.1%), mostly Th2 (11.7%), CD8+ cytotoxic T lymphocytes (11.1%), and myeloid cells (8.4%) including antigen presenting cells (APC). The TILs count was correlated with the abundance of these cellular subpopulations (p≤0.004). TILs percentage was predictive of overall survival (OS) in univariate analysis (p=0.044), high APC infiltration was predictive of relapse-free survival (RFS) in univariate analysis (p≤0.030), and Th2 infiltration was predictive of both RFS and OS in univariate (p=0.009, 0.008 respectively) and multivariate analyses (p=0.002, 0.010 respectively).Conclusion The characterization of TILs composition is essential to better understand the potential antitumoral functions of these cells, and to strongly improve the associated prognostic and predictive values. We here demonstrate that Th2 subpopulation is associated with a better overall survival in TNBC and could be of use to predict response to the newly used immunotherapies.### Competing Interest StatementThe authors have declared no competing interest.### Funding StatementThis study was funded by grants from Rennes University Hospital (CORECT 2021-UF 8946-03) and association La Vannetaise### Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:The Ethics Committee Review Board of Centre de lutte contre le Cancer Eugene Marquis gave ethical approval for this workI confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.YesAll data produced in the present study are available upon reasonable request to the authors* BC : Breast Cancer BCSC : Breast Cancer Stem Cell CD : Cluster of Differentiation DBCC : Differentiated Breast Cancer Cell DC : Dendritic cells DCIS : Ductal Carcinoma In Situ FC : Flow Cytometry FFPE : Formalin-Fixed Paraffin-Embedded H&E : Hematoxylin and Eosin LN : Lymph Node NAC : Neoadjuvant chemotherapy OS : Overall Survival pCR : pathological Complete Response pTNM : pathological classification of Tumor size (T), Node involvement (N), and Metastasis (M) according to international guidelines RFS : Relapse-Free Survival TC : T Cells (Lymphocytes) Th response : T helper response TILs : Tumor-Infiltrating Lymphocytes TNBC : Triple-Negative Breast Cancer
Purpose. Triple-negative breast cancers (TNBC) are defined as negative for hormonal receptors and human epidermal growth factor receptors 2 and account for 15% of breast cancers. TNBC carry the worst prognosis mainly because of their high proliferation index and the absence of efficient targeted therapies due to their molecular heterogeneity, even though some promising options are emerging. Besides, they do share a very high and distinct tumor-infiltrating lymphocytes (TILs) infiltration. Amongst TILs, CD8+ cytotoxic and CD4+ helper T-cells (TC) proved to be markers of a good outcome. However, pathologists routinely quantify overall TILs density only. Anti-PD-1/PD-L1 immunotherapies recently became available for immunosuppressive TNBC. Unfortunately, neither PD-1/PD-L1 expression nor TILs quantification is able to predict patients’ responses accurately. Thus, we aimed at precisely characterizing TILs sub-populations and evaluating their prognostic significance before their predictive one. Methods. We selected 91 patients at the time of surgery before any adjuvant therapy from January 2013 to December 2018 in Rennes, France. TNBC tumors went through TILs quantification on hematoxylin and eosin slides by a trained pathologist and immune microenvironment characterization using flow cytometry. We then compared the prognostic value of immune microenvironment subpopulations vs total TILs count. Results. TNBCs contained a mean of 22.8±25.9% TILs, including CD4+ TC (14.1%) mainly made of Th2 (11.7%), CD8+ TC (11.1%), and myeloid cells (8.4%) such as antigen presenting cells (APC). TILs groups and percentages were correlated with the abundance of these cellular subpopulations (p≤0.004). TILs percentage was predictive of overall survival (OS), while high APC infiltration was of relapse-free survival (RFS) in univariate analyses (p=0.044 & p≤0.030 respectively). Only Th2 infiltration was predictive of both RFS and OS in univariate (p=0.009 & p=0.008 respectively) and multivariate analyses (p=0.002 & p=0.010 respectively). When considering the different Th populations, only Th2 was a better predictive factor of survival than total leukocytes. Discussion. The development of immune therapies aiming at unlocking the anti-tumor immune response has revealed the desperate need to better characterize the tumor immune infiltrate. TILs quantification by pathologists is the only parameter routinely measured so far but it must be standardized since variability can affect their correlation with pCR. In our study, and contrary to most previous ones, stromal TILs were not significantly associated with RFS and OS. Thus, the characterization of TILs subtypes is critical since they can have either a pro- or an anti-tumorigenic function. Thus, we counteracted the limitations of TILs pathological quantification by finely characterizing the immune infiltrate using flow cytometry. Th2 infiltrate was the most frequent, as previously reported, and counterintuitively, was associated with a favorable prognostic value. This is rarely shown as Th2 infiltration is frequently reported to favor pro-tumorigenic immune tolerance. This proves that a more refined characterization of the intra-tumoral immune landscape is essential to derive interesting therapeutic perspectives, either by recapacitating Th2 response or by targeting their interaction with other immune subsets, like fibroblasts, macrophages, dendritic cells, or eosinophils and IgE. Finally, immunotherapies modulating Th2 response could also be used around the time of surgery that has been proved to induce immunomodulation. Conclusion. The characterization of TILs composition is essential to better understand the potential antitumoral functions of these cells and to substantially improve the associated prognostic and predictive values. Citation Format: Susie Brousse, Florence Godey, Elodie Laffont, Patrick Tas, Boris Campillo-Gimenez, Vincent Lavoué, Matthieu Le Gallo. Evaluation of T-cell infiltrating lymphocytes vs. Th2 in triple negative breast cancers (TNBC) [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-11-23.
Background: Early detection of ESR1 mutations is a key element for better personalization of the management of patients with HR+/HER2- Metastatic Breast Cancer (MBC). Analysis of circulating tumor DNA from liquid biopsies is a particularly well-suited strategy for longitudinal monitoring of such patients. Materials and methods: Using the naica (R) three-color digital PCR platform, we developed a screening assay allowing the detection of 11 ESR1 mutations and designed a sequential strategy for precise mutation identification. We then applied this strategy in the analysis of plasma circulating cell-free DNA from 109 HR+/HER2MBC patients and performed a double-blind comparison study on a subset of patients with the multiplex assay used at the Institut Curie (IC) for the PADA-1 study. Results: Thirty-one patients (28.4%) harboured at least one ESR1 mutation, with the following frequencies: D538G (41.03%), Y537S (25.64%), E380Q (10.26%), Y537N (10.26%), "(536-540)" (7.69%), Y537C (2.56%), and L536R (2.56%). The presence of ESR1 mutation(s) was significantly associated with liver metastases (p = 0.0091). A very good agreement (91%) was observed with the IC assay. Conclusion: Our assays have proven to be robust and highly sensitive and are very well-suited for monitoring ESR1 mutations in the plasma of MBC patients.
Aims: To assess the impact of the molecular subtype (MS) on the total number of CK19 mRNA copies in all positive SLN (TTL) threshold, to predict non-SLN affectation, and to compare 5 years progression-free survival (PFS) according to the risk of recurrence (ROR) group by PAM50. Methods: Cohort with infiltrating breast cancer with intra-operative metastatic SLN detected by one-step nucleic acid amplification (OSNA) assay who underwent subsequent ALND. Logistic regression was used to assess a possible interaction between TTL and MS(Triple Negative, Her-2-Enriched, Luminal A, or Luminal B), or hormone receptors (HR: positive or negative) by immunohistochemistry (IMH). Cox regression was used to compare PFS and OS in the 3 ROR groups (high, medium, or low). Results: TTL was predictive of non-SLN affectation in both univariate (OR [95% CI]: 1.72 [1.43, 2.05], P < .001) and multivariate (1.55 [95% CI: 1.04, 2.32], P = .030) models, but MS-IMH or HR-IMH, and their interactions with TTL were not (best multivariate model: HR + main effect OR 1.16 [95% CI: 0.18, 7.64], P = .874; interaction OR: 1.04 [0.7, 1.55], P = .835; univariate model: HR + main effect OR: 1.44 [95% CI: 0.85, 2.44], P = .180). PFS was lower in the high-risk ROR group (81.1%) than in the low-risk group (93.9%) (HR: 3.68 [95 CI: 1.70, 7.94], P < .001). Conclusions: our results do not provide evidence to support the utilization of subtype-specific thresholds for TTL values to make therapeutic decisions on the axilla. The ROR group was predictive of 5 years-PFS.
PDF file - 3848K, Figure S1. Pathological doses of cl-CD95L trigger cell migration of TNBC cells. Figure S2. Cl-CD95L induces migration of TNBC cells through a PI3K(p110β)/c-yesdriven signaling pathway. Figure S3. NOX-3-dependent ROS production is instrumental in CD95-mediated cell motility in TNBC cells. Figure S4. Cl-CD95L induces co-localization of CD95 with EGFR. Figure S5. cl-CD95L promotes migration of TNBC cells via EGFR-dependent and EGFindependent signaling pathways.
This protocol describes a flow cytometry approach to evaluate antibody responses against SARS-CoV-2 transmembrane proteins in COVID-19-positive patient sera samples without the need of specific laboratory facilities for viral infection. We developed a human-cell-based system using spike-expressing HEK293T cells that mimics membrane insertion and N-glycosylation of viral integral membrane proteins in host cells. This assay represents a powerful tool to test antibody responses against SARS-CoV-2 variants and vaccine effectiveness. For complete details on the use and execution of this protocol, please refer to Martin et al. (2021).
PURPOSE:Genomic signatures, such as EndoPredict®, may help clinicians to decide which adjuvant treatment is the most appropriate. METHODS:We propose the EndoPredict® assay for unclear cases of adjuvant treatment in patients treated in our comprehensive cancer center. We prospectively and retrospectively report the decision of adjuvant treatment before and after the EndoPredict® assay, respectively, compared to the PREDICT's tool scores. RESULTS:From November 2016 to March 2019, 159 breast cancer tumors were analyzed and presented before and after the EndoPredict® assay. Before the EndoPredict® results, clinicians recommended chemotherapy for 57 patients (57/159, 36%). A total of 108 patients (108/159, 68%) were classified as EPclin high-risk score. There was only a slight agreement between clinicians' decisions and EPclin risk score. The EPclin score led to 37% changes in treatment (59/159); chemotherapy was favored in 80% of cases (47/59). The PREDICT tool recommended chemotherapy for 16 high-risk patients (16/159, 10%). CONCLUSION:Although genomic tests were developed in order to de-escalate adjuvant treatment, in our comprehensive cancer center the use of the EndoPredict® assay led to an increase in prescribed chemotherapy.
With the approval of new therapies targeting the PI3K pathway, the detection of PIK3CA mutations has become a key factor in treatment management for HR+/HER2− metastatic breast cancer (MBC). We developed multiplex digital PCR (dPCR) assays to detect and quantify PIK3CA mutations. A first screening assay allows the detection of 21 mutations, with a drop-off system targeting the 542–546 hotspot mutations combined with the simultaneous detection of N345K, C420R, H1047L and H1047R mutations. In the case of a positive result, a sequential strategy based on other assays that we have developped allows for precise mutation identification. Clinical validity was determined by analyzing plasma circulating free DNA (cfDNA) from 213 HR+/HER2− MBC samples, as well as DNA extracted from 97 available matched tumors from 89 patients. Our assays have shown reliable specificity, accuracy and reproducibility, with limits of blank of three and four droplets for the screening assay. Sixty-eight patients (32%) had at least one PIK3CA mutation detectable in their plasma, and we obtained 83.1% agreement between the cfDNA analysis and the corresponding tumors. The high sensitivity and robustness of these new dPCR assays make them well-suited for rapid and cost-effective detection of PIK3CA mutations in the plasma of MBC patients.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has elicited a unique mobilization of the scientific community to develop efficient tools to understand and combat the infection. Like other coronavirae, SARS-CoV-2 hijacks host cell secretory machinery to produce viral proteins that compose the nascent virions; including spike (S), envelope (E), and membrane (M) proteins, the most exposed transmembrane proteins to the host immune system. As antibody response is part of the anti-viral immune arsenal, we investigate the immunogenic potential of S, E, and M using a human cell-based system to mimic membrane insertion and N-glycosylation. Both S and M elicit specific Ig production in patients with SARS-CoV-2. Patients with moderate and severe diseases exhibit elevated Ig responses. Finally, reduced Ig binding was observed with spike G614 compared to D614 variant. Altogether, our assay points toward an unexpected immune response against M and represents a powerful tool to test humoral responses against actively evolving SARS-CoV-2 variants and vaccine effectiveness.
The Epithelial–Mesenchymal Transition (EMT) and primary ciliogenesis induce stem cell properties in basal Mammary Stem Cells (MaSCs) to promote mammogenesis, but the underlying mechanisms remain incompletely understood. Here, we show that EMT transcription factors promote ciliogenesis at intermediate EMT transition states by activating ciliogenesis inducers, including FGFR1. The resulting primary cilia promote BBS11-dependent ubiquitination and inactivation of a central signaling node, GLIS2. We show that GLIS2 inactivation promotes MaSC stemness, and GLIS2 is required for normal mammary gland development. Moreover, GLIS2 inactivation is required to induce the proliferative and tumorigenic capacities of the Mammary-Tumor-initiating cells (MaTICs) of claudin-low breast cancers. Claudin-low breast tumors can be segregated from other breast tumor subtypes based on a GLIS2-dependent gene expression signature. Collectively, our findings establish molecular mechanisms by which EMT programs induce ciliogenesis to control MaSC and MaTIC biology, mammary gland development, and claudin-low breast cancer formation.
Multigene prognostic scores (MPS) have been developed for hormone receptor positive (HR+), HER2 negative (HER2-) early breast cancer (eBC) to guide adjuvant treatment decision, i.e. chemotherapy + hormonal treatment (CT+HT) or HT alone. In France, MPS are temporally funded by the ministry of health, pending a real-life evaluation through registry. The aim of our study was to prospectively describe the setting of EndoPredict prescription and the impact on the adjuvant treatment decision. SiMosein is the most important registry of Endopredict real-life data.
The SARS-CoV-2 pandemic has elicited a unique international mobilization of the scientific community to better understand this coronavirus and its associated disease and to develop efficient tools to combat infection. Similar to other coronavirae, SARS-CoV-2 hijacks the host cell complex secretory machinery to produce properly folded viral proteins that will compose the nascent virions; including Spike, Envelope and Membrane proteins, the most exposed membrane viral proteins to the host immune system. Antibody response is part of the anti- viral immune arsenal that infected patients develop to fight viral particles in the body. Herein, we investigate the immunogenic potential of Spike (S), Envelope (E) and Membrane (M) proteins using a human cell-based system to mimic membrane insertion and N-glycosylation. We show that both S and M proteins elicit the production of specific IgG, IgM and IgA in SARS- CoV-2 infected patients. Elevated Ig responses were observed in COVID+ patients with moderate and severe forms of the disease. Finally, when SARS-CoV-2 Spike D614 and G614 variants were compared, reduced Ig binding was observed with the Spike G614 variant. Altogether, this study underlines the needs for including topological features in envelop proteins to better characterize the serological status of COVID+ patients, points towards an unexpected immune response against the M protein and shows that our assay could represent a powerful tool to test humoral responses against actively evolving SARS-CoV-2 variants and vaccine effectiveness. Funding: This work was funded by grants from INSERM, Institut National du Cancer (INCa PLBIO), Fondation pour la Recherche Médicale (FRM, équipe labellisée 2018) to EC and from la Ligue contre le cancer (comité 35, 56 et 85) to TA. Conflict of Interest: EC and LAE are founders of Cell Stress Discoveries Ltd. Ethical Approval: The study was carried out according to the regulation of Rennes Biobank (BRIF number: BB-0033-00056) certified as meeting the requirements of NF S96900 for receipt preparation preservation and provision of biological resources.
Background: In head and neck squamous cell carcinoma (HNSCC) 30% of cN0 patients have occult metastasis. LN invasion is a major prognostic factor. Sentinel lymph node (SLN) is an option for cN0 neck management. One-step nucleic acid amplification (OSNA) used to analyze SLN in breast cancer is also a candidate to get more reliable intraoperative HNSCC lymph node (LN) staging. Objective: To compare OSNA analysis to pathological analysis in cN0 HNSCC. Materials and methods: 157 LN from 26 cN0 HNSCC patients were prospectively analyzed (6.3LN/patient). Exclusion criteria were previous surgery or radiotherapy. Each node was cut into 4 equal pieces alternatively sent to pathological analysis and OSNA technique. IHC CK19 was performed on the primary tumor biopsy and RT-qPCR of CK19, PVA and EPCAM on the LN lysate of discordant cases. Results: OSNA was able to provide intraoperative result in all patients. OSNA detected 21 metastases. There were 139 concordant LN (88.5%). There were 18 initial discordant LN (11.5%), 13 (8.3%) were OSNA positive/pathological analysis negative, 5 (3.2%) were OSNA negative/pathological analysis positive. After elimination of allocation bias, false negative rate was 1.3%, sensitivity and specificity were 90% and 95.6%, PPV and NPV were 75% and 98.5%. Conclusion: Our results suggest that OSNA should be considered to improve SNB analysis both for increasing micro metastasis diagnosis and offer extemporaneous results.