Tumour budding is a novel marker in breast cancer: the clinical application and future prospects

Huang, Ting; Bao, Hui; Meng, Yuhua; Zhu, Jianlin; Chu, Xiangxiang; Chu, Xiaoli; Pan, Jinghua

doi:10.1080/07853890.2022.2070272

Cited by 17 publications

(23 citation statements)

References 57 publications

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“…Cells in these buds are proposed to actively disseminate from the primary tumor in the first step of dissemination. Hence, in a variety of cancers, including breast cancer, tumor budding has been shown to be a prognostic indicator [ 59 , 66 , 67 , 68 , 69 ]. For human breast cancer tissue, it has been shown that the assessment of tumor budding can be easily implemented in the histopathological biomarker assessment of breast cancer [ 67 ].…”

Section: Discussionmentioning

confidence: 99%

The Chorioallantoic Membrane Xenograft Assay as a Reliable Model for Investigating the Biology of Breast Cancer

Ranjan

Muenzner

Kunze

et al. 2023

Cancers

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The chorioallantoic membrane (CAM) assay is an alternative in vivo model that allows for minimally invasive research of cancer biology. Using the CAM assay, we investigated phenotypical and functional characteristics (tumor grade, mitosis rate, tumor budding, hormone receptor (HR) and HER2 status, Ki-67 proliferation index) of two breast cancer cell lines, MCF-7 and MDA-MB-231, which resemble the HR+ (luminal) and triple-negative breast cancer (TNBC) subgroups, respectively. Moreover, the CAM results were directly compared with murine MCF-7- and MDA-MB-231-derived xenografts and human patient TNBC tissue. Known phenotypical and biological features of the aggressive triple-negative breast cancer cell line (MDA-MB-231) were confirmed in the CAM assay, and mouse xenografts. Furthermore, the histomorphological and immunohistochemical variables assessed in the CAM model were similar to those in human patient tumor tissue. Given the confirmation of the classical biological and growth properties of breast cancer cell lines in the CAM model, we suggest this in vivo model to be a reliable alternative test system for breast cancer research to reduce murine animal experiments.

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Section: Discussionmentioning

confidence: 99%

The Chorioallantoic Membrane Xenograft Assay as a Reliable Model for Investigating the Biology of Breast Cancer

Ranjan

Muenzner

Kunze

et al. 2023

Cancers

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“…[6][7][8][9] Interestingly, TB is a marker for highly aggressive tumor subsets and is closely associated with a poor prognosis in various cancers, including TNBC. [10][11][12][13][14] Moreover, TB also represents an early stage of epithelialmesenchymal transition 4 and is closely associated with invasion, migration, and metastasis. 10 Recent investigations of tumor immunity and host defense in patients with TNBC have provided promising strategies for immunotherapy and prognosis prediction.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, the host attempts to increase tertiary lymphoid structures (TLSs) by establishing antitumor immunity to confront tumor progression 6–9 . Interestingly, TB is a marker for highly aggressive tumor subsets and is closely associated with a poor prognosis in various cancers, including TNBC 10–14 . Moreover, TB also represents an early stage of epithelial–mesenchymal transition 4 and is closely associated with invasion, migration, and metastasis 10 …”

Section: Introductionmentioning

confidence: 99%

Triple‐negative breast cancer survival prediction using artificial intelligence through integrated analysis of tertiary lymphoid structures and tumor budding

Hou,

Li,

Han

et al. 2024

Cancer

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BackgroundTriple‐negative breast cancer (TNBC) is a highly heterogeneous and clinically aggressive disease. Accumulating evidence indicates that tertiary lymphoid structures (TLSs) and tumor budding (TB) are significantly correlated with the outcomes of patients who have TNBC, but no integrated TLS‐TB profile has been established to predict their survival. The objective of this study was to investigate the relationship between the TLS/TB ratio and clinical outcomes of patients with TNBC using artificial intelligence (AI)‐based analysis.MethodsThe infiltration levels of TLSs and TB were evaluated using hematoxylin and eosin staining, immunohistochemistry staining, and AI‐based analysis. Various cellular subtypes within TLS were determined by multiplex immunofluorescence. Subsequently, the authors established a nomogram model, conducted calibration curve analyses, and performed decision curve analyses using R software.ResultsIn both the training and validation cohorts, the antitumor/protumor model established by the authors demonstrated a positive correlation between the TLS/TB index and the overall survival (OS) and relapse‐free survival (RFS) of patients with TNBC. Notably, patients who had a high percentage of CD8‐positive T cells, CD45RO‐positive T cells, or CD20‐positive B cells within the TLSs experienced improved OS and RFS. Furthermore, the authors developed a comprehensive TLS‐TB profile nomogram based on the TLS/TB index. This novel model outperformed the classical tumor‐lymph node‐metastasis staging system in predicting the OS and RFS of patients with TNBC.ConclusionsA novel strategy for predicting the prognosis of patients with TNBC was established through integrated AI‐based analysis and a machine‐learning workflow. The TLS/TB index was identified as an independent prognostic factor for TNBC. This nomogram‐based TLS‐TB profile would help improve the accuracy of predicting the prognosis of patients who have TNBC.

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“…Furthermore, there are a variety of opinions on the purposeful use of the number of intratumoral or peritumoral buds, especially in breast cancer. 5 - 8 …”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Tumor Budding and Patient’s Survival in Breast Cancer

Ranaee,

Torabi,

Azhganzad

et al. 2024

Clin Med�Insights�Pathol

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Introduction: Breast cancer is a severe life-threatening condition in which many women are involved yearly. One factor that has recently been noticed and investigated as a diagnostic predictor of this type of cancer is the number of tumor buds and the relation of this factor with a patient’s survival rate. Materials and methods: This study includes 150 female patients over 18 years old with a mean age of 53.99 ± 12.56 years old with breast cancer, which was diagnosed at various medical centers, including Rouhani Hospital itself, and referred to Rouhani Hospital Medical Center, Babol, Iran. The number of intratumoral and peritumoral buds in patients’ microscopic slides were archived and evaluated along with tumor microenvironment on hematoxylin and eosin (H&E) slides and compared to other clinicopathological findings. This article precisely investigated the relationship between the number of intratumoral and peritumoral buds with patients’ 5-year survival rate. Also, the relationship between age, tumor stage, grade, size, the number of lymph nodes involved, and the presence of metastasis with the number of intratumoral and peritumoral buds was studied. Results and discussion: The result showed a significant statistical association between the number of intratumoral and peritumoral buds with tumor size, tumor stage, presence of metastasis, the number of lymph nodes involved, and 5-year survival rate. On the other hand, there is not a significant statistical association between the number of intratumoral and peritumoral buds with age and tumor grade. Conclusion: Our investigation revealed a significant statistical relationship between the number of tumor buds and patients’ survival rate. So, this factor should be considered significant to help those patients increase their survival ratio.

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Tumour budding is a novel marker in breast cancer: the clinical application and future prospects

Cited by 17 publications

References 57 publications

The Chorioallantoic Membrane Xenograft Assay as a Reliable Model for Investigating the Biology of Breast Cancer

The Chorioallantoic Membrane Xenograft Assay as a Reliable Model for Investigating the Biology of Breast Cancer

Triple‐negative breast cancer survival prediction using artificial intelligence through integrated analysis of tertiary lymphoid structures and tumor budding

The Relationship Between Tumor Budding and Patient’s Survival in Breast Cancer

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