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Lee OEM, Le TM, Chong GO, Cho JJ, Park NJY. The Mclust Analysis of Tumor Budding Unveils the Role of the Collagen Family in Cervical Cancer Progression. Life (Basel) 2024; 14:1004. [PMID: 39202746 PMCID: PMC11355860 DOI: 10.3390/life14081004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/25/2024] [Accepted: 08/09/2024] [Indexed: 09/03/2024] Open
Abstract
In RNA-seq data analysis, condensing the gene count matrix size is pivotal for downstream investigations, particularly pathway analysis. For this purpose, harnessing machine learning attracts increasing interest, while conventional methodologies depend on p-value comparisons. In this study, 20 tissue samples from real-world cervical cancers were subjected to sequencing, followed by the application of the Mclust algorithm to delineate an optimal cluster. By stratifying tumor budding into high and low groups and quantifying the epithelial-to-mesenchymal transition (EMT) score to scrutinize tumor budding, we discerned 24 EMT-related genes, with 5 showing strong associations with cervical cancer prognosis. Our observations elucidate a biological flow wherein EMT, Matrix Metallopep-tidase 2 (MMP2), and extracellular matrix (ECM) degradation are interconnected, ultimately leading to collagen type VI and exacerbating the prognosis of cervical cancer. The present study underscores an alternative method for selecting useful EMT-related genes by employing an appropriate clustering algorithm, thereby avoiding classical methods while unveiling novel insights into cervical cancer etiology and prognosis. Moreover, when comparing high and low tumor budding, collagen type VI emerges as a potential gene marker for the prognosis of cervical cancer.
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Affiliation(s)
- Olive EM Lee
- Department of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea
- BK21 Four Program, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
| | - Tan Minh Le
- Department of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea
- BK21 Four Program, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
| | - Gun Oh Chong
- BK21 Four Program, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
- Clinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea
- Department of Obstetrics and Gynecology, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
- Department of Obstetrics and Gynecology, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea
| | - Junghwan Joshua Cho
- Clinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea
| | - Nora Jee-Young Park
- BK21 Four Program, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
- Clinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea
- Department of Pathology, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea
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2
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Kaufmann J, Haist M, Kur IM, Zimmer S, Hagemann J, Matthias C, Grabbe S, Schmidberger H, Weigert A, Mayer A. Tumor-stroma contact ratio - a novel predictive factor for tumor response to chemoradiotherapy in locally advanced oropharyngeal cancer. Transl Oncol 2024; 46:102019. [PMID: 38833784 PMCID: PMC11190748 DOI: 10.1016/j.tranon.2024.102019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/25/2024] [Accepted: 05/27/2024] [Indexed: 06/06/2024] Open
Abstract
The growth pattern of oropharyngeal squamous cell carcinomas (OPSCC) varies from compact tumor cell aggregates to diffusely infiltrating tumor cell-clusters. The influence of the growth pattern on local tumor control and survival has been studied mainly for surgically treated oral cavity carcinomas on a visual basis. In this study, we used multiplex immunofluorescence staining (mIF) to examine the antigens pan-cytokeratin, p16INK4a, Ki67, CD271, PD-L1, and CD8 in pretherapeutic biopsies from 86 OPSCC. We introduce Tumor-stroma contact ratio (TSC), a novel parameter, to quantify the relationship between tumor cells in contact with the stromal surface and the total number of epithelial tumor cells. mIF tumor cores were analyzed at the single-cell level, and tumor-stromal contact area was quantified using the R package "Spatstat". TSC was correlated with the visually assessed invasion pattern by two independent investigators. Furthermore, TSC was analyzed in relation to clinical parameters and patient survival data to evaluate its potential prognostic significance. Higher TSC correlated with poor response to (chemo-)radiotherapy (r = 0.3, p < 0.01), and shorter overall (OS) and progression-free (PFS) survival (median OS: 13 vs 136 months, p < 0.0001; median PFS: 5 vs 85 months, p < 0.0001). Visual categorization of growth pattern according to established criteria of tumor aggressiveness showed interobserver variability increasing with more nuanced categories (2 categories: k = 0.7, 95 %-CI: 0.55 - 0.85; 4 categories k = 0.48, 95 %-CI: 0.35 - 0.61). In conclusion, TSC is an objective and reproducible computer-based parameter to quantify tumor-stroma contact area. We demonstrate its relevance for the response of oropharyngeal carcinomas to primary (chemo-)radiotherapy.
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Affiliation(s)
- Justus Kaufmann
- Department of Radiation Oncology and Radiotherapy, University Medical Center of the Johannes-Gutenberg-University, Mainz 55131, Germany.
| | - Maximilian Haist
- Department of Dermatology, University Medical Center of the Johannes-Gutenberg-University, 55131 Mainz, Germany; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ivan-Maximiliano Kur
- Institute of Biochemistry I, Faculty of Medicine, Goethe-University Frankfurt, 60596 Frankfurt, Germany
| | - Stefanie Zimmer
- Institute of Pathology, University Medical Center of the Johannes-Gutenberg-University, 55131 Mainz, Germany
| | - Jan Hagemann
- Department of Otorhinolaryngology, University Medical Center of the Johannes-Gutenberg-University, Mainz 55131, Germany
| | - Christoph Matthias
- Department of Otorhinolaryngology, University Medical Center of the Johannes-Gutenberg-University, Mainz 55131, Germany
| | - Stephan Grabbe
- Department of Dermatology, University Medical Center of the Johannes-Gutenberg-University, 55131 Mainz, Germany
| | - Heinz Schmidberger
- Department of Radiation Oncology and Radiotherapy, University Medical Center of the Johannes-Gutenberg-University, Mainz 55131, Germany
| | - Andreas Weigert
- Institute of Biochemistry I, Faculty of Medicine, Goethe-University Frankfurt, 60596 Frankfurt, Germany
| | - Arnulf Mayer
- Department of Radiation Oncology and Radiotherapy, University Medical Center of the Johannes-Gutenberg-University, Mainz 55131, Germany; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
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Haughton PD, Haakma W, Chalkiadakis T, Breimer GE, Driehuis E, Clevers H, Willems S, Prekovic S, Derksen PWB. Differential transcriptional invasion signatures from patient derived organoid models define a functional prognostic tool for head and neck cancer. Oncogene 2024; 43:2463-2474. [PMID: 38942893 PMCID: PMC11315671 DOI: 10.1038/s41388-024-03091-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 06/07/2024] [Accepted: 06/18/2024] [Indexed: 06/30/2024]
Abstract
Clinical outcome for patients suffering from HPV-negative head and neck squamous cell carcinoma (HNSCC) remains poor. This is mostly due to highly invasive tumors that cause loco-regional relapses after initial therapeutic intervention and metastatic outgrowth. The molecular pathways governing the detrimental invasive growth modes in HNSCC remain however understudied. Here, we have established HNSCC patient derived organoid (PDO) models that recapitulate 3-dimensional invasion in vitro. Single cell mRNA sequencing was applied to study the differences between non-invasive and invasive conditions, and in a collective versus single cell invading PDO model. Differential expression analysis under invasive conditions in Collagen gels reveals an overall upregulation of a YAP-centered transcriptional program, irrespective of the invasion mode. However, we find that collectively invading HNSCC PDO cells show elevated levels of YAP transcription targets when compared to single cell invasion. Also, collectively invading cells are characterized by increased nuclear translocation of YAP within the invasive strands, which coincides with Collagen-I matrix alignment at the invasive front. Using gene set enrichment analysis, we identify immune cell-like migratory pathways in the single cell invading HNSCC PDO, while collective invasion is characterized by overt upregulation of adhesion and migratory pathways. Lastly, based on clinical head and neck cancer cohorts, we demonstrate that the identified collective invasion signature provides a candidate prognostic platform for survival in HNSCC. By uncoupling collective and single cell invasive programs, we have established invasion signatures that may guide new therapeutic options.
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Affiliation(s)
- Peter D Haughton
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wisse Haakma
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Theofilos Chalkiadakis
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerben E Breimer
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Else Driehuis
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and UMC Utrecht, 3584, CT, Utrecht, The Netherlands
| | - Hans Clevers
- Roche Pharmaceutical Research and Early Development, Basel, Switzerland
| | - Stefan Willems
- Department Pathology and Medical biology, University Medical Center Groningen, Groningen, The Netherlands
| | - Stefan Prekovic
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Patrick W B Derksen
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands.
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4
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Toosi A, Shiri I, Zaidi H, Rahmim A. Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs). Cancers (Basel) 2024; 16:2538. [PMID: 39061178 PMCID: PMC11274485 DOI: 10.3390/cancers16142538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
We introduce an innovative, simple, effective segmentation-free approach for survival analysis of head and neck cancer (HNC) patients from PET/CT images. By harnessing deep learning-based feature extraction techniques and multi-angle maximum intensity projections (MA-MIPs) applied to Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) images, our proposed method eliminates the need for manual segmentations of regions-of-interest (ROIs) such as primary tumors and involved lymph nodes. Instead, a state-of-the-art object detection model is trained utilizing the CT images to perform automatic cropping of the head and neck anatomical area, instead of only the lesions or involved lymph nodes on the PET volumes. A pre-trained deep convolutional neural network backbone is then utilized to extract deep features from MA-MIPs obtained from 72 multi-angel axial rotations of the cropped PET volumes. These deep features extracted from multiple projection views of the PET volumes are then aggregated and fused, and employed to perform recurrence-free survival analysis on a cohort of 489 HNC patients. The proposed approach outperforms the best performing method on the target dataset for the task of recurrence-free survival analysis. By circumventing the manual delineation of the malignancies on the FDG PET-CT images, our approach eliminates the dependency on subjective interpretations and highly enhances the reproducibility of the proposed survival analysis method. The code for this work is publicly released.
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Affiliation(s)
- Amirhosein Toosi
- Department of Radiology, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Isaac Shiri
- Department of Cardiology, University Hospital Bern, CH-3010 Bern, Switzerland;
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva, Switzerland;
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva, Switzerland;
| | - Arman Rahmim
- Department of Radiology, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada
- Department of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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Fernandez-Figueras MT, Perez-Muñoz N, Puig L, Posada-Caez R, Ballester Victoria R, Henriquez M, Musulen E. Predictors of Local Invasion in Infiltrative Basal Cell Carcinoma: Tumour Budding Outperforms the WHO Subtyping. Acta Derm Venereol 2024; 104:adv40172. [PMID: 38956962 PMCID: PMC11247513 DOI: 10.2340/actadv.v104.40172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 06/10/2024] [Indexed: 07/04/2024] Open
Abstract
Tumour budding (TB) correlates with increased local invasion in various neoplasms. Certain basal cell carcinomas (BCCs) exhibit local aggressiveness. Detecting adverse prognostic factors in partial biopsies could aid in identifying cases with heightened local risk. The absolute number of TB (≤ 3 tumour cells) in excision specimens of 271 infiltrative BCCs (0: absent; 1: 1-2 foci; 2: ≥ 3 foci; 3: ≥ 10 foci), the histopathological subtype and depth of infiltration, perineural invasion, and other histological features were evaluated. A significant correlation was found between TB and both depth of infiltration (rho 0.445, p < 0.001) and perineural invasion (p = 0.009). In the multivariate analysis of depth and perineural invasion (multiple regression, stepwise), TB was identified as a significant covariate together with diameter, inflammation, and perineural invasion for the former, and depth for the latter. Conversely, no correlation existed between the WHO histological subtypes (infiltrating, sclerosing, and micronodular), and depth of infiltration or perineural invasion. This study demonstrates the value of TB as a biomarker for local invasiveness in BCC. In routine practice, a count of ≥ 3 TB foci in lesions incompletely excised or with narrow tumour-free surgical margins would be a straightforward and reproducible method to guide BCC treatment.
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Affiliation(s)
- Maria Teresa Fernandez-Figueras
- Department of Pathology, Hospital Universitari General de Catalunya, Grupo Quironsalud, Sant Cugat del Vallés, Barcelona, Spain; Affiliation Universitat Internacional de Catalunya, Sant Cugat del Vallés, Barcelona, Spain.
| | - Noelia Perez-Muñoz
- Department of Pathology, Hospital Universitari General de Catalunya, Grupo Quironsalud, Sant Cugat del Vallés, Barcelona, Spain; Affiliation Universitat Internacional de Catalunya, Sant Cugat del Vallés, Barcelona, Spain
| | - Luis Puig
- Affiliation Department of Dermatology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Affiliation Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rodolfo Posada-Caez
- Department of Pathology, Hospital Universitari General de Catalunya, Grupo Quironsalud, Sant Cugat del Vallés, Barcelona, Spain
| | - Rosa Ballester Victoria
- Department of Pathology, Hospital Universitari General de Catalunya, Grupo Quironsalud, Sant Cugat del Vallés, Barcelona, Spain
| | - Martha Henriquez
- Affiliation Universitat Internacional de Catalunya, Sant Cugat del Vallés, Barcelona, Spain
| | - Eva Musulen
- Department of Pathology, Hospital Universitari General de Catalunya, Grupo Quironsalud, Sant Cugat del Vallés, Barcelona, Spain; Affiliation Institut de Recerca contra la Leucèmia Josep Carreras
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Hui Z, Wang B, Liu Z, Wei J, Gan J, Landstrom M, Mu Y, Zang G. TGFβ-induced EN1 promotes tumor budding of adenoid cystic carcinoma in patient-derived organoid model. Int J Cancer 2024; 154:1814-1827. [PMID: 38282121 DOI: 10.1002/ijc.34856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/23/2023] [Accepted: 12/20/2023] [Indexed: 01/30/2024]
Abstract
Adenoid cystic carcinoma (ACC) and basal cell adenoma (BCA) share many histological characteristics and often need a differential diagnosis in clinical pathology. Recently, we found homeobox protein engrailed-1 (EN1) was a potential diagnostic marker for ACC in an organoids library of salivary gland tumors (SGTs). Here we aim to confirm EN1 as a differential diagnostic marker for ACC, and further investigate the regulatory mechanism and biological function of EN1 in tumor progression. The transcriptional analysis, quantitative polymerase chain reaction, Western blot and immunohistochemistry staining were performed and revealed that EN1 was specifically and highly expressed in ACC, and accurately differentiated ACC from BCA. Furthermore, TGFβ signaling pathway was found associated with ACC, and the regulation of EN1 through TGFβ was detected in the human ACC cell lines and patient-derived organoids (PDOs). TGFβ-induced EN1 was important in promoting tumor budding in the PDOs model. Interestingly, a high level of EN1 and TGFβ1 in the budding tips was observed in ACC clinical samples, and the expression of EN1 and TGFβ1 in ACC was significantly associated with the clinical stage. In summary, our study verified EN1 is a good diagnostic marker to differentiate ACC from BCA. TGFβ-induced EN1 facilitates the tumor budding of ACC, which might be an important mechanism related to the malignant phenotype of ACC.
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Affiliation(s)
- Zhixuan Hui
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
| | - Bo Wang
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
| | - Zhengyan Liu
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
| | - Jinhui Wei
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
| | - Jiaxing Gan
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
| | - Marene Landstrom
- Department of Medical Bioscience, Building 6M, Umeå University, Umeå, Sweden
| | - Yabing Mu
- Department of Medical Bioscience, Building 6M, Umeå University, Umeå, Sweden
| | - Guangxiang Zang
- Liaoning Provincial Key Laboratory of Oral Disease, School and Hospital of Stomatology, China Medical University, Shenyang City, China
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Csűry TD, Csűry AZ, Balk M, Kist AM, Rupp R, Mueller SK, Sievert M, Iro H, Eckstein M, Gostian A. The modified Polsby-Popper score, a novel quantitative histomorphological biomarker and its potential to predict lymph node positivity and cancer-specific survival in oral tongue squamous cell carcinoma. Cancer Med 2024; 13:e6824. [PMID: 38132808 PMCID: PMC10807609 DOI: 10.1002/cam4.6824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND The significance of different histological spreading patterns of tumor tissue in oral tongue squamous cell carcinoma (TSCC) is well known. Our aim was to construct a numeric parameter on a continuous scale, that is, the modified Polsby-Popper (MPP) score, to describe the aggressiveness of tumor growth and infiltration, with the potential to analyze hematoxylin and eosin-stained whole slide images (WSIs) in an automated manner. We investigated the application of the MPP score in predicting survival and cervical lymph node metastases as well as in determining patients at risk in the context of different surgical margin scenarios. METHODS We developed a semiautomated image analysis pipeline to detect areas belonging to the tumor tissue compartment. Perimeter and area measurements of all detected tissue regions were derived, and a specific mathematical formula was applied to reflect the perimeter/area ratio in a comparable, observer-independent manner across digitized WSIs. We demonstrated the plausibility of the MPP score by correlating it with well-established clinicopathologic parameters. We then performed survival analysis to assess the relevance of the MPP score, with an emphasis on different surgical margin scenarios. Machine learning models were developed to assess the relevance of the MPP score in predicting survival and occult cervical nodal metastases. RESULTS The MPP score was associated with unfavorable tumor growth and infiltration patterns, the presence of lymph node metastases, the extracapsular spread of tumor cells, and higher tumor thickness. Higher MPP scores were associated with worse overall survival (OS) and tongue carcinoma-specific survival (TCSS), both when assessing all pT-categories and pT1-pT2 categories only; moreover, higher MPP scores were associated with a significantly worse TCSS in cases where a cancer-free surgical margin of <5 mm could be achieved on the main surgical specimen. This discriminatory capacity remained constant when examining pT1-pT2 categories only. Importantly, the MPP score could successfully define cases at risk in terms of metastatic disease in pT1-pT2 cancer where tumor thickness failed to exhibit a significant predictive value. Machine learning (ML) models incorporating the MPP score could predict the 5-year TCSS efficiently. Furthermore, we demonstrated that machine learning models that predict occult cervical lymph node involvement can benefit from including the MPP score. CONCLUSIONS We introduced an objective, quantifiable, and observer-independent parameter, the MPP score, representing the aggressiveness of tumor growth and infiltration in TSCC. We showed its prognostic relevance especially in pT1-pT2 category TSCC, and its possible use in ML models predicting TCSS and occult lymph node metastases.
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Affiliation(s)
- Tamás Dániel Csűry
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | | | - Matthias Balk
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | - Andreas M. Kist
- Department Artificial Intelligence in Biomedical EngineeringFriedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
| | - Robin Rupp
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | - Sarina K. Mueller
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | - Matti Sievert
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | - Heinrich Iro
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
| | - Markus Eckstein
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
- Institute of PathologyUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
| | - Antoniu‐Oreste Gostian
- Department of Otolaryngology, Head & Neck SurgeryUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Comprehensive Cancer Center EMNUniversity Hospital Erlangen, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
- Bavarian Cancer Research Center (Bayerisches Zentrum für Krebsforschung, BZKF)ErlangenGermany
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8
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Almangush A, Mäkitie AA, Leivo I. Tumour budding in head and neck cancer: what have we learnt and the next steps towards clinical implementation. Br J Cancer 2024; 130:1-2. [PMID: 38097743 PMCID: PMC10781682 DOI: 10.1038/s41416-023-02531-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 01/12/2024] Open
Affiliation(s)
- Alhadi Almangush
- Department of Pathology, University of Helsinki, P.O. Box 21, FI-00014, Helsinki, Finland.
- Institute of Biomedicine, Pathology, University of Turku, Turku, Finland.
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Faculty of Dentistry, Misurata University, Misurata, Libya.
| | - Antti A Mäkitie
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, P.O. Box 263, FI-00029 HUS, Helsinki, Finland
- Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Ilmo Leivo
- Institute of Biomedicine, Pathology, University of Turku, Kiinamyllynkatu 10 D 5035, 20520, Turku, Finland
- Turku University Central Hospital, 20521, Turku, Finland
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Silva DJ, Miranda G, Amaro T, Salgado M, Mesquita A. Prognostic Value of Tumor Budding for Early Breast Cancer. Biomedicines 2023; 11:2906. [PMID: 38001907 PMCID: PMC10669365 DOI: 10.3390/biomedicines11112906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/22/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Tumor budding (TB) is a dynamic process associated with the epithelial-mesenchymal transition and a well-established prognostic biomarker for colorectal cancer. As part of the tumor microenvironment, tumor buds demonstrate increased cell motility and invasiveness. Current evidence demonstrates that high levels of TB correlate with disease progression and worst outcomes across different solid tumors. Our work aims to demonstrate the clinical applicability of TB analysis and its utility as a prognostic factor for patients with early breast cancer (EBC). METHODS Retrospective, single-center, observational study, enrolling patients with EBC diagnosed in a Portuguese hospital between 2014 and 2015. TB classification was performed according to the International Tumor Budding Conference 2016 guidelines. RESULTS A statistically significant relation was found between higher TB score and aggressive clinicopathological features (angiolymphatic/perineural invasion-p < 0.001; tumor size-p = 0.012; nuclear grading-p < 0.001; and Ki-67 index-p = 0.011), higher number of relapses (p < 0.001), and short disease-free survival (DFS) (p < 0.001). CONCLUSION We demonstrate that high TB correlates with shorter DFS and aggressive clinicopathological features used in daily practice to decide on the benefit of chemotherapy for EBC. TB represents a needed prognostic biomarker for EBC, comprising a new factor to be considered in the adjuvant decision-making process by identifying patients at a high risk of relapse and with higher benefit on treatment intensification. Clinical trials incorporating TB are needed to validate its prognostic impact.
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Affiliation(s)
- Diogo J. Silva
- Hospital Pedro Hispano, Local Health Unity of Matosinhos, 4464-513 Matosinhos, Portugal (M.S.); (A.M.)
- Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
| | - Gonçalo Miranda
- Hospital Pedro Hispano, Local Health Unity of Matosinhos, 4464-513 Matosinhos, Portugal (M.S.); (A.M.)
| | - Teresina Amaro
- Hospital Pedro Hispano, Local Health Unity of Matosinhos, 4464-513 Matosinhos, Portugal (M.S.); (A.M.)
| | - Matilde Salgado
- Hospital Pedro Hispano, Local Health Unity of Matosinhos, 4464-513 Matosinhos, Portugal (M.S.); (A.M.)
| | - Alexandra Mesquita
- Hospital Pedro Hispano, Local Health Unity of Matosinhos, 4464-513 Matosinhos, Portugal (M.S.); (A.M.)
- Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
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Chiesa-Estomba CM, Thompson L, Agaimy A, Zidar N, Simpson RHW, Franchi A, Rodrigo JP, Mäkitie AA, Almangush A, Leivo I, Ferlito A. Predictive value of tumor budding in head and neck squamous cell carcinoma: an update. Virchows Arch 2023; 483:441-449. [PMID: 37642731 DOI: 10.1007/s00428-023-03630-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023]
Abstract
Head and neck squamous cell carcinoma forms an anatomically and functionally complex group of malignancies. The significant local aggressiveness and frequent regional relapses motivate ongoing research to identify more reliable and sensitive prognostic and predictive biomarkers. One emerging area of cancer biology is the evaluation of tumor budding at the advancing invasive front of various types of epithelial cancers. Recent studies suggest that tumor budding is a relatively common phenomenon in cancer progression and that it may have important prognostic implications for patients due to its potential to provide valuable insights into the biology and clinical behavior of head and neck cancer. In this review, we aim to provide information about tumor budding in head and neck squamous cell carcinoma. Thus, we hope to shed light on the complex biology of these malignancies, as well as aiding diagnostic, classification, and better characterization and thereby, looking for new avenues for improving patient outcomes.
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Affiliation(s)
- Carlos M Chiesa-Estomba
- Department of Otorhinolaryngology, Osakidetza, Donostia University Hospital, Biodonostia Research Institute, 20014, San Sebastian, Spain.
- Otorhinolaryngology Department, Faculty of Medicine, Deusto University, Bilbao, Spain.
| | - Lester Thompson
- Head and Neck Pathology Consultations, Woodland Hills, CA, 91364, USA
| | - Abbas Agaimy
- Institut Für Pathologie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Nina Zidar
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, 1000, Ljubljana, Slovenia
| | | | - Alessandro Franchi
- Department of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126, Pisa, Italy
| | - Juan P Rodrigo
- Department of Otolaryngology, Hospital Universitario Central de Asturias, University of Oviedo, ISPA, IUOPA, CIBERONC, Oviedo, Spain
| | - Antti A Mäkitie
- Department of Otorhinolaryngology-Head and Neck Surgery, Research Program in Systems Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Alhadi Almangush
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Pathology, University of Helsinki, Helsinki, Finland
| | - Ilmo Leivo
- Institute of Biomedicine, Pathology, University of Turku, Turku, Finland
| | - Alfio Ferlito
- Coordinator of the International Head and Neck, Scientific Group, Padua, Italy
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