Predicting the HER2 status in oesophageal cancer from tissue microarrays using convolutional neural networks.

BACKGROUND: Fast and accurate diagnostics are key for personalised medicine. Particularly in cancer, precise diagnosis is a prerequisite for targeted therapies, which can prolong lives. In this work, we focus on the automatic identification of gastroesophageal adenocarcinoma (GEA) patients that qualify for a personalised therapy targeting epidermal growth factor receptor 2 (HER2). We present a deep-learning method for scoring microscopy images of GEA for the presence of HER2 overexpression. METHODS: Our method is based on convolutional neural networks (CNNs) trained on a rich dataset of 1602 patient samples and tested on an independent set of 307 patient samples. We additionally verified the CNN's generalisation capabilities with an independent dataset with 653 samples from a separate clinical centre. We incorporated an attention mechanism in the network architecture to identify the tissue regions, which are important for the prediction outcome. Our solution allows for direct automated detection of HER2 in immunohistochemistry-stained tissue slides without the need for manual assessment and additional costly in situ hybridisation (ISH) tests. RESULTS: We show accuracy of 0.94, precision of 0.97, and recall of 0.95. Importantly, our approach offers accurate predictions in cases that pathologists cannot resolve and that require additional ISH testing. We confirmed our findings in an independent dataset collected in a different clinical centre. The attention-based CNN exploits morphological information in microscopy images and is superior to a predictive model based on the staining intensity only. CONCLUSIONS: We demonstrate that our approach not only automates an important diagnostic process for GEA patients but also paves the way for the discovery of new morphological features that were previously unknown for GEA pathology.

Adaptive T-cell immunity controls senescence-prone MyD88- or CARD11-mutant B-cell lymphomas.

Aberrant B-cell receptor/NF-κB signaling is a hallmark feature of B-cell non-Hodgkin lymphomas, especially in diffuse large B-cell lymphoma (DLBCL). Recurrent mutations in this cascade, for example, in CD79B, CARD11, or NFKBIZ, and also in the Toll-like receptor pathway transducer MyD88, all deregulate NF-κB, but their differential impact on lymphoma development and biology remains to be determined. Here, we functionally investigate primary mouse lymphomas that formed in recipient mice of Eµ-myc transgenic hematopoietic stem cells stably transduced with naturally occurring NF-κB mutants. Although most mutants supported Myc-driven lymphoma formation through repressed apoptosis, CARD11- or MyD88-mutant lymphoma cells selectively presented with a macrophage-activating secretion profile, which, in turn, strongly enforced transforming growth factor ß (TGF-ß)-mediated senescence in the lymphoma cell compartment. However, MyD88- or CARD11-mutant Eµ-myc lymphomas exhibited high-level expression of the immune-checkpoint mediator programmed cell death ligand 1 (PD-L1), thus preventing their efficient clearance by adaptive host immunity. Conversely, these mutant-specific dependencies were therapeutically exploitable by anti-programmed cell death 1 checkpoint blockade, leading to direct T-cell-mediated lysis of predominantly but not exclusively senescent lymphoma cells. Importantly, mouse-based mutant MyD88- and CARD11-derived signatures marked DLBCL subgroups exhibiting mirroring phenotypes with respect to the triad of senescence induction, macrophage attraction, and evasion of cytotoxic T-cell immunity. Complementing genomic subclassification approaches, our functional, cross-species investigation unveils pathogenic principles and therapeutic vulnerabilities applicable to and testable in human DLBCL subsets that may inform future personalized treatment strategies.

Active Akt signaling triggers CLL toward Richter transformation via overactivation of Notch1.

Richter's transformation (RT) is an aggressive lymphoma that occurs upon progression from chronic lymphocytic leukemia (CLL). Transformation has been associated with genetic aberrations in the CLL phase involving TP53, CDKN2A, MYC, and NOTCH1; however, a significant proportion of RT cases lack CLL phase-associated events. Here, we report that high levels of AKT phosphorylation occur both in high-risk CLL patients harboring TP53 and NOTCH1 mutations as well as in patients with RT. Genetic overactivation of Akt in the murine Eµ-TCL1 CLL mouse model resulted in CLL transformation to RT with significantly reduced survival and an aggressive lymphoma phenotype. In the absence of recurrent mutations, we identified a profile of genomic aberrations intermediate between CLL and diffuse large B-cell lymphoma. Multiomics assessment by phosphoproteomic/proteomic and single-cell transcriptomic profiles of this Akt-induced murine RT revealed an S100 protein-defined subcluster of highly aggressive lymphoma cells that developed from CLL cells, through activation of Notch via Notch ligand expressed by T cells. Constitutively active Notch1 similarly induced RT of murine CLL. We identify Akt activation as an initiator of CLL transformation toward aggressive lymphoma by inducing Notch signaling between RT cells and microenvironmental T cells.

Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study.

OBJECTIVES: To demonstrate the feasibility of an automated, non-invasive approach to estimate bone marrow (BM) infiltration of multiple myeloma (MM) by dual-energy computed tomography (DECT) after virtual non-calcium (VNCa) post-processing. METHODS: Individuals with MM and monoclonal gammopathy of unknown significance (MGUS) with concurrent DECT and BM biopsy between May 2018 and July 2020 were included in this retrospective observational study. Two pathologists and three radiologists reported BM infiltration and presence of osteolytic bone lesions, respectively. Bone mineral density (BMD) was quantified CT-based by a CE-certified software. Automated spine segmentation was implemented by a pre-trained convolutional neural network. The non-fatty portion of BM was defined as voxels > 0 HU in VNCa. For statistical assessment, multivariate regression and receiver operating characteristic (ROC) were conducted. RESULTS: Thirty-five patients (mean age 65 ± 12 years; 18 female) were evaluated. The non-fatty portion of BM significantly predicted BM infiltration after adjusting for the covariable BMD (p = 0.007, r = 0.46). A non-fatty portion of BM > 0.93% could anticipate osteolytic lesions and the clinical diagnosis of MM with an area under the ROC curve of 0.70 [0.49-0.90] and 0.71 [0.54-0.89], respectively. Our approach identified MM-patients without osteolytic lesions on conventional CT with a sensitivity and specificity of 0.63 and 0.71, respectively. CONCLUSIONS: Automated, AI-supported attenuation assessment of the spine in DECT VNCa is feasible to predict BM infiltration in MM. Further, the proposed method might allow for pre-selecting patients with higher pre-test probability of osteolytic bone lesions and support the clinical diagnosis of MM without pathognomonic lesions on conventional CT. KEY POINTS: • The retrospective study provides an automated approach for quantification of the non-fatty portion of bone marrow, based on AI-supported spine segmentation and virtual non-calcium dual-energy CT data. • An increasing non-fatty portion of bone marrow is associated with a higher infiltration determined by invasive biopsy after adjusting for bone mineral density as a control variable (p = 0.007, r = 0.46). • The non-fatty portion of bone marrow might support the clinical diagnosis of multiple myeloma when conventional CT images are negative (sensitivity 0.63, specificity 0.71).

Oncogene-specific T cells fail to eradicate lymphoma-initiating B cells in mice.

To date, little is known about the interaction between (pre-)malignant B cells and T cells. We generated transgenic mice that allow B cell-specific induction of the oncogene SV40 large T-antigen (TAg) to analyze the role of oncogene-specific T cells during sporadic B-cell lymphoma development. Constitutive TAg expression in CD19-Cre × LoxP-Tag mice resulted in TAg-tolerant CD8+ T cells and development of B-cell lymphomas. In contrast, CD19-CreERT2 × LoxP-Tag mice retained TAg-competent CD8+ T cells at time of oncogene induction and TAg expression in few B cells of adult mice resulted in exceptionally rare lymphoma formation late in life. Increased lymphoma incidence in the absence of TAg-specific T cells suggested T cell-mediated inhibition of lymphoma progression. However, TAg-initiated B cells were not eliminated by T cells and detected long term. Our results demonstrate a failure of the immune system to eradicate lymphoma-initiating B cells, retaining the risk of lymphoma development.

The IL-17A/IL-17RA Axis Is Not Related to Overall Survival and Cancer Stem Cell Modulation in Pancreatic Cancer.

(1) Background: IL-17A accelerates pancreatic intraepithelial neoplasia (PanIN) progression. In this study, we examined whether IL-17A/IL-17RA promotes pancreatic ductal adenocarcinoma (PDAC) aggressiveness in terms of survival and cancer stem cell modulation. (2) Methods: In vitro, the wound-healing assay, the sphere formation assay, and flow cytometry were applied to assess cancer stem cell features. In vivo, pancreatic tumors were induced in C57BL/6 mice using electroporation with oncogenic plasmids (P53-/- R172H; KrasG12V). Anti-IL-17 antibodies were administered as immunotherapy. We analyzed IL-17A/IL-17RA related survival using publicly available transcriptomic data (n = 903). (3) Results: IL-17A/IL-17RA expression was not related to survival in PDAC patients. IL-17A neither induces stem cell markers nor increases sphere formation and cell motility in vitro. Blocking the IL-17A/IL-17RA axis in a murine pancreatic cancer model did not improve the survival of mice, but reduced the tumor burden slightly. (4) Conclusions: IL-17A does not promote stem cell expansion in PDAC cell lines. Blocking IL-17A/IL-17RA signaling does not interfere with pancreatic cancer development and progression and may not be considered as a promising monotherapy for PDAC.

Pharmacological restoration and therapeutic targeting of the B-cell phenotype in classical Hodgkin lymphoma.

Classical Hodgkin lymphoma (cHL), although originating from B cells, is characterized by the virtual lack of gene products whose expression constitutes the B-cell phenotype. Epigenetic repression of B-cell-specific genes via promoter hypermethylation and histone deacetylation as well as compromised expression of B-cell-committed transcription factors were previously reported to contribute to the lost B-cell phenotype in cHL. Restoring the B-cell phenotype may not only correct a central malignant property, but it may also render cHL susceptible to clinically established antibody therapies targeting B-cell surface receptors or small compounds interfering with B-cell receptor signaling. We conducted a high-throughput pharmacological screening based on >28 000 compounds in cHL cell lines carrying a CD19 reporter to identify drugs that promote reexpression of the B-cell phenotype. Three chemicals were retrieved that robustly enhanced CD19 transcription. Subsequent chromatin immunoprecipitation-based analyses indicated that action of 2 of these compounds was associated with lowered levels of the transcriptionally repressive lysine 9-trimethylated histone H3 mark at the CD19 promoter. Moreover, the antileukemia agents all-trans retinoic acid and arsenic trioxide (ATO) were found to reconstitute the silenced B-cell transcriptional program and reduce viability of cHL cell lines. When applied in combination with a screening-identified chemical, ATO evoked reexpression of the CD20 antigen, which could be further therapeutically exploited by enabling CD20 antibody-mediated apoptosis of cHL cells. Furthermore, restoration of the B-cell phenotype also rendered cHL cells susceptible to the B-cell non-Hodgkin lymphoma-tailored small-compound inhibitors ibrutinib and idelalisib. In essence, we report here a conceptually novel, redifferentiation-based treatment strategy for cHL.

'Lost in Nasal Space': Staphylococcus aureus sepsis associated with Nasal Handkerchief Packing.

INTRODUCTION: Staphylococcus aureus frequently causes infections in outpatient and hospital settings and can present as a highly variable entity. Typical manifestations are endocarditis, osteoarticular infections or infection of implanted prostheses, intravascular devices or foreign bodies. A thorough diagnostic evaluation with early focus identification is mandatory to improve patient outcome. CASE REPORT: We report a case of a 68-year old patient with a history of double allogeneic stem cell transplant for acute myeloid leukemia who developed a S. aureus bacteremia with dissemination, severe sepsis and lethal outcome due to nasal handkerchief packing after nose bleeding. CONCLUSION: A thorough medical examination with further diagnostic work-up is most important in S. aureus blood stream infection to identify and eradicate the portal(s) of entry, to rule out endocarditis, to search for spinal abscesses, osteomyelitis or spondylodiscitis. Adherence to management guides for clinicians must be of major importance to achieve optimal quality of clinical care, and thus improve patient outcome.

Tumour buds determine prognosis in resected pancreatic ductal adenocarcinoma.

BACKGROUND: The prognostic effect of tumour budding was retrospectively analysed in a cohort of 173 patients with resected pancreatic ductal adenocarcinomas (PDACs) of the prospective clinical multicentre CONKO-001 trial. METHODS: Haematoxylin and eosin (H&E)-stained whole tissue slides were evaluated. In two independent approaches, the mean number of tumour buds was analysed according to the consensus criteria in colorectal cancer, in one 0.785 mm2 field of view and additionally in 10 high-power fields (HPF) (HPF = 0.238 mm2). RESULTS: Tumour budding was significantly associated with a higher tumour grade (p < 0.001) but not with distant or lymph node metastasis. Regardless of the quantification approach, an increased number of tumour buds was significantly associated with reduced disease-free survival (DFS) and overall survival (OS) (10 HPF approach DFS: HR = 1.056 (95% CI 1.022-1.092), p = 0.001; OS: HR = 1.052 (95% CI 1.018-1.087), p = 0.002; consensus method DFS: HR = 1.037 (95% CI 1.017-1.058), p < 0.001; OS: HR = 1.040 (95% CI 1.019-1.061), p < 0.001). Recently published cut-offs for tumour budding in colorectal cancer were prognostic in PDAC as well. CONCLUSIONS: Tumour budding is prognostic in the CONKO-001 clinical cohort of patients. Further standardisation and validation in additional clinical cohorts are necessary.

B-cell-specific conditional expression of Myd88p.L252P leads to the development of diffuse large B-cell lymphoma in mice.

The adaptor protein MYD88 is critical for relaying activation of Toll-like receptor signaling to NF-κB activation. MYD88 mutations, particularly the p.L265P mutation, have been described in numerous distinct B-cell malignancies, including diffuse large B-cell lymphoma (DLBCL). Twenty-nine percent of activated B-cell-type DLBCL (ABC-DLBCL), which is characterized by constitutive activation of the NF-κB pathway, carry the p.L265P mutation. In addition, ABC-DLBCL frequently displays focal copy number gains affecting BCL2 Here, we generated a novel mouse model in which Cre-mediated recombination, specifically in B cells, leads to the conditional expression of Myd88(p.L252P) (the orthologous position of the human MYD88(p.L265P) mutation) from the endogenous locus. These mice develop a lymphoproliferative disease and occasional transformation into clonal lymphomas. The clonal disease displays the morphologic and immunophenotypical characteristics of ABC-DLBCL. Lymphomagenesis can be accelerated by crossing in a further novel allele, which mediates conditional overexpression of BCL2 Cross-validation experiments in human DLBCL samples revealed that both MYD88 and CD79B mutations are substantially enriched in ABC-DLBCL compared with germinal center B-cell DLBCL. Furthermore, analyses of human DLBCL genome sequencing data confirmed that BCL2 amplifications frequently co-occurred with MYD88 mutations, further validating our approach. Finally, in silico experiments revealed that MYD88-mutant ABC-DLBCL cells in particular display an actionable addiction to BCL2. Altogether, we generated a novel autochthonous mouse model of ABC-DLBCL that could be used as a preclinical platform for the development and validation of novel therapeutic approaches for the treatment of ABC-DLBCL.

[Unusual progression of polycythemia vera]. / Ungewöhnliche Progression einer Polycythaemia vera.

The case of a male patient with newly diagnosed polycythemia vera showing rare and unusually rapid progression with phenotypic change towards chronic myelomonocytic leukemia is presented. The case report illustrates remarkably rapid disease progression including a structural change in usually indolent polycythemia vera and highlights the prognostic relevance of enhanced molecular genetic testing.

HoLy-Net: Segmentation of histological images of diffuse large B-cell lymphoma.

Over the last years, there has been large progress in automated segmentation and classification methods in histological whole slide images (WSIs) stained with hematoxylin and eosin (H&E). Current state-of-the-art (SOTA) techniques are based on diverse datasets of H&E-stained WSIs of different types of predominantly solid cancer. However, there is a scarcity of methods and datasets enabling segmentation of tumors of the lymphatic system (lymphomas). Here, we propose a solution for segmentation of diffuse large B-cell lymphoma (DLBCL), the most common non-Hodgkin's lymphoma. Our method applies to both H&E-stained slides and to a broad range of markers stained with immunohistochemistry (IHC). While IHC staining is an important tool in cancer diagnosis and treatment decisions, there are few automated segmentation and classification methods for IHC-stained WSIs. To address the challenges of nuclei segmentation in H&E- and IHC-stained DLBCL images, we propose HoLy-Net - a HoVer-Net-based deep learning model for lymphoma segmentation. We train two different models, one for segmenting H&E- and one for IHC-stained images and compare the test results with the SOTA methods as well as with the original version of HoVer-Net. Subsequently, we segment patient WSIs and perform single cell-level analysis of different cell types to identify patient-specific tumor characteristics such as high level of immune infiltration. Our method outperforms general-purpose segmentation methods for H&E staining in lymphoma WSIs (with an F1 score of 0.899) and is also a unique automated method for IHC slide segmentation (with an F1 score of 0.913). With our solution, we provide a new dataset we denote LyNSeC (lymphoma nuclear segmentation and classification) containing 73,931 annotated cell nuclei from H&E and 87,316 from IHC slides. Our method and dataset open up new avenues for quantitative, large-scale studies of morphology and microenvironment of lymphomas overlooked by the current automated segmentation methods.

Genome-wide DNA methylation-analysis of blastic plasmacytoid dendritic cell neoplasm identifies distinct molecular features.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) constitutes a rare and aggressive malignancy originating from plasmacytoid dendritic cells (pDCs) with a primarily cutaneous tropism followed by dissemination to the bone marrow and other organs. We conducted a genome-wide analysis of the tumor methylome in an extended cohort of 45 BPDCN patients supplemented by WES and RNA-seq as well as ATAC-seq on selected cases. We determined the BPDCN DNA methylation profile and observed a dramatic loss of DNA methylation during malignant transformation from early and mature DCs towards BPDCN. DNA methylation profiles further differentiate between BPDCN, AML, CMML, and T-ALL exhibiting the most striking global demethylation, mitotic stress, and merely localized DNA hypermethylation in BPDCN resulting in pronounced inactivation of tumor suppressor genes by comparison. DNA methylation-based analysis of the tumor microenvironment by MethylCIBERSORT yielded two, prognostically relevant clusters (IC1 and IC2) with specific cellular composition and mutational spectra. Further, the transcriptional subgroups of BPDCN (C1 and C2) differ by DNA methylation signatures in interleukin/inflammatory signaling genes but also by higher transcription factor activity of JAK-STAT and NFkB signaling in C2 in contrast to an EZH2 dependence in C1-BPDCN. Our integrative characterization of BPDCN offers novel molecular insights and potential diagnostic applications.

LYN kinase programs stromal fibroblasts to facilitate leukemic survival via regulation of c-JUN and THBS1.

Microenvironmental bystander cells are essential for the progression of chronic lymphocytic leukemia (CLL). We have discovered previously that LYN kinase promotes the formation of a microenvironmental niche for CLL. Here we provide mechanistic evidence that LYN regulates the polarization of stromal fibroblasts to support leukemic progression. LYN is overexpressed in fibroblasts of lymph nodes of CLL patients. LYN-deficient stromal cells reduce CLL growth in vivo. LYN-deficient fibroblasts show markedly reduced leukemia feeding capacity in vitro. Multi-omics profiling reveals that LYN regulates the polarization of fibroblasts towards an inflammatory cancer-associated phenotype through modulation of cytokine secretion and extracellular matrix composition. Mechanistically, LYN deletion reduces inflammatory signaling including reduction of c-JUN expression, which in turn augments the expression of Thrombospondin-1, which binds to CD47 thereby impairing CLL viability. Together, our findings suggest that LYN is essential for rewiring fibroblasts towards a leukemia-supportive phenotype.

Distinct Genetically Determined Origins of Myd88/BCL2-Driven Aggressive Lymphoma Rationalize Targeted Therapeutic Intervention Strategies.

Genomic profiling revealed the identity of at least 5 subtypes of diffuse large B-cell lymphoma (DLBCL), including the MCD/C5 cluster characterized by aberrations in MYD88, BCL2, PRDM1, and/or SPIB. We generated mouse models harboring B cell-specific Prdm1 or Spib aberrations on the background of oncogenic Myd88 and Bcl2 lesions. We deployed whole-exome sequencing, transcriptome, flow-cytometry, and mass cytometry analyses to demonstrate that Prdm1- or Spib-altered lymphomas display molecular features consistent with prememory B cells and light-zone B cells, whereas lymphomas lacking these alterations were enriched for late light-zone and plasmablast-associated gene sets. Consistent with the phenotypic evidence for increased B cell receptor signaling activity in Prdm1-altered lymphomas, we demonstrate that combined BTK/BCL2 inhibition displays therapeutic activity in mice and in five of six relapsed/refractory DLBCL patients. Moreover, Prdm1-altered lymphomas were immunogenic upon transplantation into immuno-competent hosts, displayed an actionable PD-L1 surface expression, and were sensitive to antimurine-CD19-CAR-T cell therapy, in vivo. SIGNIFICANCE: Relapsed/refractory DLBCL remains a major medical challenge, and most of these patients succumb to their disease. Here, we generated mouse models, faithfully recapitulating the biology of MYD88-driven human DLBCL. These models revealed robust preclinical activity of combined BTK/BCL2 inhibition. We confirmed activity of this regimen in pretreated non-GCB-DLBCL patients. See related commentary by Leveille et al., p. 8. This article is highlighted in the In This Issue feature, p. 1.

In vitro effects of perifosine, bortezomib and lenalidomide against hematopoietic progenitor cells from healthy donors.

The novel AKT inhibitor perifosine possesses myelopoiesis-stimulating effects in rodents. We studied the in vitro effects of the novel agents perifosine, bortezomib and lenalidomide in addition to adriamycin against normal human hematopoietic progenitor cells (HPC) using different clonogenic and non-clonogenic assays. All agents inhibited colony-forming unit (CFU) formation, perifosine inhibiting mainly CFU-granulocyte/macrophage formation and the other agents burst-forming unit-erythroid formation. Perifosine combined with lenalidomide or adriamycin tended to act antagonistically in suppressing CFU formation. Despite their inhibition of CFU formation, perifosine, bortezomib and lenalidomide induced only slight or moderate cytotoxicity in CD34(+) selected HPC, as assessed using different assays such as flow cytometry-based detection of activated caspases and immunohistochemistry studies (e.g., Ki-67 staining). In contrast to its myelopoiesis-stimulating effects in rodents, perifosine--like bortezomib and lenalidomide--suppresses the clonogenic potential of HPC from healthy donors in vitro and thus probably plays no role in preventing neutropenia or in shorting its duration after intensive chemotherapy. However, all these novel agents typically induce only slight or moderate suppression of the clonogenic potential or loss of viability of normal HPC at clinically achievable plasma concentrations, assuming that hematoxicity is manageable and functional HPC can be collected after treatment with these compounds.

In vitro cytotoxicity of the novel antimyeloma agents perifosine, bortezomib and lenalidomide against different cell lines.

The novel AKT inhibitor perifosine, a synthetic alkylphospholipid, is currently being investigated in clinical trials for the treatment of different hematological and oncological malignancies. The in vitro cytotoxicity of perifosine, bortezomib and lenalidomide against 6 cell lines derived from hematological malignancies was investigated using trypan blue staining, flow cytometry-based detection of activated caspases, Annexin V assays, immunohistochemistry studies (KI-67 and caspase-3 staining) and the immature-myeloid-information (IMI) technique. Perifosine and bortezomib induced concentration- and time-dependent cytotoxicity in all cell lines tested. Perifosine together with bortezomib largely exerted additive or synergistic effects with combination indices ranging from 1.13 to 0.22 for combined efficacies of 25% to 75% after 24-hour incubation. Lenalidomide-triggered cytotoxicity was low in all cell lines tested with any assay (less than 10% compared to the negative control). Finally, perifosine, but not bortezomib or lenalidomide, significantly increased the number of cells detected in the IMI channel. Perifosine and bortezomib- but not lenalidomide- trigger substantial cytotoxicity by caspase activation and mainly act additively or synergistically. The IMI technique might be a useful tool for studying cytotoxicity of agents like perifosine that interact mainly with the cellular membrane.

International Tumor Budding Consensus Conference criteria determine the prognosis of oesophageal adenocarcinoma with poor response to neoadjuvant treatment.

BACKGROUND: Neoadjuvant therapy regimens followed by surgery represent the current standard treatment of locally advanced oesophageal adenocarcinomas. Tumour regression determines prognosis, but more than half of patients do have more than 10% residual tumour after neoadjuvant therapy. In these cases, classical histopathological parameters for the determination of prognosis are of limited value. Therefore, we investigated whether tumour budding could be an additional prognostic factor for tumours with poor response to neoadjuvant therapy. METHODS: Tumour budding was assessed according to a standardized consensus quantification method as proposed by the International Tumor Budding Consensus Conference (ITBCC) in H&E-stained whole tissue slides of 278 formalin-fixed paraffin-embedded (FFPE) resected oesophageal adenocarcinomas with a poor response (> 10% vital residual tumour) to neoadjuvant therapy. RESULTS: We could demonstrate a strong positive correlation (p < 0.05) between the budding group, ypN stage and UICC tumour stage. Further, high numbers of tumour buds were a significant and independent negative prognostic marker for OS in all studied patients (HR = 1.039 (95% CI 1.012-1.066), p = 0.004). ITBCC budding groups were an independent prognostic parameter. CONCLUSIONS: Tumour budding assessed in accordance with the ITBCC criteria may aid in the prognostic stratification of locally advanced oesophageal adenocarcinoma with poor response to neoadjuvant treatment.

The Prognostic Significance of p16 and its Role as a Surrogate Marker for Human Papilloma Virus in Oral Squamous Cell Carcinoma: An Analysis of 281 Cases.

BACKGROUND/AIM: This study analyzed the expression of p16 in a large cohort of patients suffering from oral squamous cell carcinoma (OSCC) who received initial surgical therapy in order to evaluate the prognostic significance of p16 expression and to analyze its value as a surrogate marker to determine human papilloma virus (HPV) status. MATERIALS AND METHODS: Immunohistochemical staining of p16 was performed on tissue microarrays. Different expression levels of p16 (>25%; >50%; ≥70%) with a moderate to strong intensity were correlated with the clinical outcome. HPV DNA was analyzed by polymerase chain reaction (PCR). RESULTS: A total of 281 patients were included in this study. The p16 expression obtained using the abovementioned three different cutoffs did not significantly influence 5-year overall survival (OS) (p=0.23; p=0.45; p=0.23) nor recurrence-free survival (RFS) (p=0.79; p=0.45; p=0.142). In univariate Cox regression analysis, the p16 expression level was not a risk factor for OS (HR=0.637; 95%CI=0.271-1.5; p=0.300) and RFS (HR=0.74; 95%CI=0.339-1.61; p=0.449). A total of 17 patients (6.0%) were p16 positive with a cutoff ≥70%. HPV DNA was found in 4/11 of these cases by PCR, resulting in a positive predictive value of 0.36. In patients receiving adjuvant radio(chemo)therapy, a significantly (p=0.042) longer OS was observed in patients with p16 expression greater than 25% vs. ≤25%. CONCLUSION: In comparison with OPSCC, (strong) p16 positivity is rare in OSCC; however, in patients receiving primary surgery with adjuvant radio(chemo)therapy, p16 expression is associated with a higher survival rate. In conjunction with prior studies, p16 does not seem to be a reliable surrogate marker for HPV infection in OSCC.