Development of Prediction Model Including MicroRNA Expression for Sentinel Lymph Node Metastasis in ER-Positive and HER2-Negative Breast Cancer

Okuno, Junko; Miyake, Tomohiro; Sota, Yoshiaki; Tanei, Tomonori; Kagara, Naofumi; Naoi, Yasuto; Shimoda, Masafumi; Shimazu, Kenzo; Kim, Seung Jin; Noguchi, Shinzaburo

doi:10.1245/s10434-020-08735-9

Cited by 22 publications

(16 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…miRNAs regulate the expression of their target genes in the post-transcriptional stage ( 36 , 37 ) and play crucial roles in oncogenesis and loss of tumor suppression, they are implicated in multiple human cancers ( 38 , 39 ). Herein, we demonstrated that miR-378a-3p serves as an upstream modulator of DCTPP1 and, using luciferase studies, found that it directly targets DCTPP1.…”

Section: Discussionmentioning

confidence: 99%

DCTPP1, an Oncogene Regulated by miR-378a-3p, Promotes Proliferation of Breast Cancer via DNA Repair Signaling Pathway

et al. 2021

View full text Add to dashboard Cite

Breast cancer (BRCA) is one of the most deadly cancers worldwide, with poor survival rates that could be due to its high proliferation. Human all-alpha dCTP pyrophosphatase 1 (DCTPP1) is implicated in numerous diseases, including cancers. However, its role in BRCA is unclear. In this study, we used bioinformatic analyses of the ONCOMINE, UALCAN, and GEPIA databases to determine the expression pattern of DCTPP1 in BRCA. We found that elevated DCTPP1 levels correlate with poor BRCA prognosis. DCTPP1 silencing inhibited BRCA cell proliferation and induced apoptosis in vitro, as well as in vivo. Our data show that this tumorigenic effect depends on DNA repair signaling. Moreover, we found that DCTPP1 is directly modulated by miR-378a-3p, whose downregulation is linked to BRCA progression. Our results showed down-regulation of miR-378a-3p in BRCA. Upregulation of miR-378a-3p, on the other hand, can inhibit BRCA cell growth and proliferation. This study shows that reduced miR-378a-3p level enhances DCTPP1 expression in BRCA, which promotes proliferation by activating DNA repair signaling in BRCA.

show abstract

Section: Discussionmentioning

confidence: 99%

DCTPP1, an Oncogene Regulated by miR-378a-3p, Promotes Proliferation of Breast Cancer via DNA Repair Signaling Pathway

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The state-of-the-art model is characterized by many works, which propose non-sentinel lymph nodes status predictive models based on features of different nature [33][34][35][36][37]. On the contrary, there are a low number of studies whose aim was the development of a sentinel lymph nodes status predictive model through the analysis of histological features [20,[38][39][40][41]. Thus far, the nomogram developed by the researchers of Memorial Sloan-Kettering Cancer Center (MSKCC) (a, b, c) is the most widely used model to predict the likelihood of SLN metastasis.…”

Section: Discussionmentioning

confidence: 99%

Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features

et al. 2021

View full text Add to dashboard Cite

The reported incidence of node metastasis at sentinel lymph node biopsy is generally low, so that the majority of women underwent unnecessary invasive axilla surgery. Although the sentinel lymph node biopsy is time consuming and expensive, it is still the intra-operative exam with the highest performance, but sometimes surgery is achieved without a clear diagnosis and also with possible serious complications. In this work, we developed a machine learning model to predict the sentinel lymph nodes positivity in clinically negative patients. Breast cancer clinical and immunohistochemical features of 907 patients characterized by a clinically negative lymph node status were collected. We trained different machine learning algorithms on the retrospective collected data and selected an optimal subset of features through a sequential forward procedure. We found comparable performances for different classification algorithms: on a hold-out training set, the logistics regression classifier with seven features, i.e., tumor diameter, age, histologic type, grading, multiplicity, in situ component and Her2-neu status reached an AUC value of 71.5% and showed a better trade-off between sensitivity and specificity (69.4 and 66.9%, respectively) compared to other two classifiers. On the hold-out test set, the performance dropped by five percentage points in terms of accuracy. Overall, the histological characteristics alone did not allow us to develop a support tool suitable for actual clinical application, but it showed the maximum informative power contained in the same for the resolution of the clinical problem. The proposed study represents a starting point for future development of predictive models to obtain the probability for lymph node metastases by using histopathological features combined with other features of a different nature.

show abstract

“…Okuno et al constructed a prediction model consisting of miR-98, tumor size, and lymphovascular invasion for SLN metastasis with high accuracy in Estrogen receptor (ER)- positive/Human epidermal growth factor receptor 2 (HER2)- negative breast cancer. 5 Zhang et al verified that a multiparametric MRI-based radiomics nomogram incorporating the radiomics signature, and MRI-determined axillary lymph node burden had a favorable performance in predicting the SLN burden. 6 Although these techniques have high accuracy, prospective clinical studies including a larger number of patients are needed to confirm detection efficiency of this techniques in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

The Guiding Significance of the Number of Positive Sentinel Lymph Nodes in Frozen Section for Intraoperative Axillary Dissection in Early Breast Cancer

Liang¹,

Li²,

Zhu³

et al. 2021

CMAR

View full text Add to dashboard Cite

Purpose The results of large randomised trials have changed the treatment strategy of axillary lymph nodes. Axillary lymph node dissection (ALND) can be avoided in some patients with one to two sentinel lymph nodes (SLNs) metastasis based on final paraffin section (FPS) results which called into question the need for intraoperative frozen section (FS). This study aims to assess the guiding value of the number of positive SLN detected via FS for intraoperative ALND. Patients and Methods This study retrospectively analyzed data from 3303 patients with breast cancer who underwent SLN biopsy between 2015 and 2019. Combined with the FPS results, FS sensitivity, specificity, and false negative rate (FNR) were calculated and the difference in the number of positive SLNs between FS and FPS was analyzed. Results The overall FNR of FS was 23.21%, which was 76.47% in isolated tumor cells, 62.28% in micrometastasis, and 12.09% in macrometastatic disease. The size of SLN metastasis were significantly associated with a higher FNR (p<0.001). The accuracy rate of the number of positive SLNs detected via FS was 92.62%. Human epidermal growth factor receptor 2 (HER2) (p<0.03) and Ki67 (p<0.02) were significant factors affecting the accuracy rate. Conclusion FS is a effective method for SLN biopsy, ALND can be avoided in patients with one or two positive SLNs detected via FS.

show abstract

Development of Prediction Model Including MicroRNA Expression for Sentinel Lymph Node Metastasis in ER-Positive and HER2-Negative Breast Cancer

Cited by 22 publications

References 33 publications

DCTPP1, an Oncogene Regulated by miR-378a-3p, Promotes Proliferation of Breast Cancer via DNA Repair Signaling Pathway

DCTPP1, an Oncogene Regulated by miR-378a-3p, Promotes Proliferation of Breast Cancer via DNA Repair Signaling Pathway

Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features

The Guiding Significance of the Number of Positive Sentinel Lymph Nodes in Frozen Section for Intraoperative Axillary Dissection in Early Breast Cancer

Contact Info

Product

Resources

About