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Abstract Background Invasive micropapillary carcinoma of the breast (IMPC) is a histological tumor variant that occurs with low frequency characterized by an inside-out formation of tumor clusters with a pseudopapillary arrangement. IMPC is an aggressive tumor with poor clinical outcome. In addition, this histological subtype usually expresses human epidermal growth factor receptor 2 (HER2) which also correlates with a more aggressive tumor. In this work we studied the clinical significance of IMPC in HER2-positive breast cancer patients treated with adjuvant trastuzumab. We also analyzed mucin 4 (MUC4) expression as a novel biomarker to identify IMPC. Methods We retrospectively studied 86 HER2-positive breast cancer patients treated with trastuzumab and chemotherapy in the adjuvant setting. We explored the association of the IMPC component with clinicopathological parameters at diagnosis and its prognostic value. We compared MUC4 expression in IMPC with respect to other histological breast cancer subtypes by immunohistochemistry. Results IMPC, either as a pure entity or associated with invasive ductal carcinoma (IDC), was present in 18.6% of HER2-positive cases. It was positively correlated with estrogen receptor expression and tumor size and inversely correlated with patient’s age. Disease-free survival was significantly lower in patients with IMPC (hazard ratio = 2.6; 95%, confidence interval 1.1–6.1, P = 0.0340). MUC4, a glycoprotein associated with metastasis, was strongly expressed in all IMPC cases tested. IMPC appeared as the histological breast cancer subtype with the highest MUC4 expression compared to IDC, lobular and mucinous carcinoma. Conclusion In HER2-positive breast cancer, the presence of IMPC should be carefully examined. As it is often not informed, because it is relatively difficult to identify or altogether overlooked, we propose MUC4 expression as a useful biomarker to highlight IMPC presence. Patients with MUC4-positive tumors with IMPC component should be more frequently monitored and/or receive additional therapies.

Background: Invasive micropapillary carcinoma of the breast (IMPC) is a histological tumor variant that occurs with low frequency characterized by an inside-out formation of tumor clusters with a pseudopapillary arrangement. IMPC is an aggressive tumor with poor clinical outcome. In addition, this histological subtype usually expresses human epidermal growth factor receptor 2 (HER2) which also correlates with a more aggressive tumor. In this work we studied the clinical significance of IMPC in HER2-positive breast cancer patients treated with adjuvant trastuzumab. We also analyzed mucin 4 (MUC4) expression as a novel biomarker to identify IMPC.Methods: We retrospectively studied 86 HER2-positive breast cancer patients treated with trastuzumab and chemotherapy in the adjuvant setting. We explored the association of the IMPC component with clinicopathological parameters at diagnosis and its prognostic value. We compared MUC4 expression in IMPC with respect to other histological breast cancer subtypes by immunohistochemistry.Results: IMPC, either as a pure entity or associated with invasive ductal carcinoma (IDC), was present in 18.6% of HER2-positive cases. It was positively correlated with estrogen receptor expression and tumor size and inversely correlated with patient's age. Disease-free survival was significantly lower in patients with IMPC (hazard ratio = 2.6; 95%, confidence interval 1.1-6.1, P = 0.0340). MUC4, a glycoprotein associated with metastasis, was strongly expressed in all IMPC cases tested. IMPC appeared as the histological breast cancer subtype with the highest MUC4 expression compared to IDC, lobular and mucinous carcinoma.Conclusion: In HER2-positive breast cancer, the presence of IMPC should be carefully examined. As it is often not informed, because it is relatively difficult to identify or altogether overlooked, we propose MUC4 expression as a useful biomarker to highlight IMPC presence. Patients with MUC4-positive tumors with IMPC component should be more frequently monitored and/or receive additional therapies. [ABSTRACT FROM AUTHOR]

Background: Mucin 4 (MUC4) overexpression promotes tumorigenesis and increases the aggressiveness of pancreatic ductal adenocarcinoma (PDAC). To date, no study has reported the association between radiomics and MUC4 expression in PDAC. Thus, we aimed to explore the utility of radiomics based on multi-sequence magnetic resonance imaging (MRI) to predict the status of MUC4 expression in PDAC preoperatively., Methods: This retrospective study included 52 patients with PDAC who underwent MRI. The patients were divided into two groups based on MUC4 expression status. Two feature sets were extracted from the arterial and portal phases (PPs) of dynamic contrast-enhanced MRI (DCE-MRI). Univariate analysis, minimum redundancy maximum relevance (MRMR), and principal component analysis (PCA) were performed for the feature selection of each dataset, and features with a cumulative variance of 90% were selected to develop radiomics models. Clinical characteristics were gathered to develop a clinical model. The selected radiomics features and clinical characteristics were modeled by multivariable logistic regression. The combined model integrated radiomics features from different selected data sets and clinical characteristics. The classification metrics were applied to assess the discriminatory power of the models., Results: There were 22 PDACs with a high expression of MUC4 and 30 PDACs with a low expression of MUC4. The area under the receiver operating characteristic (ROC) curve (AUC) values of the arterial phase (AP) model, the PP model, and the combined model were 0.732 (0.591-0.872), 0.709 (0.569-0.849), and 0.861 (0.760-0.961), respectively. The AUC of the clinical model was 0.666 (0.600-0.682). The combined model that was constructed outperformed the AP, the PP, and the clinical models (P<0.05, although no statistical significance was observed in the combined model vs. AP model)., Conclusions: Radiomics models based on multi-sequence MRI have the potential to predict MUC4 expression levels in PDAC., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-112/coif). All authors report that this study was supported by the Science and Technology Strategic Cooperation Project of Nanchong Municipal (No. 19SXHZ0269), the Science and Technology Strategic Cooperation Project of Nanchong Municipal (No. 20SXQT0250), and the Science and Technology Strategic Project of North Sichuan Medical College (No. CBY20-QA-Z03). The authors have no other conflicts of interest to declare., (2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Background: Keloids are benign skin tumors that appears on skin lesions in humans. Keloids are characterized by invasive tumor growth and are highly prone to recurrence after treatment. The incidence of keloids is ethnically specific; however, the molecular mechanism underlying the incidence of keloids in the Chinese population remains unclear. To date, no reports appear to have been published on the molecular characteristics underlying keloids in the Chinese population from the perspective of whole-genome sequencing., Methods: In this study, we collected keloid samples from 9 keloid patients underwent surgery in the Department of Dermatology, The First Affiliated Hospital of Soochow University, paired them to normal skin tissues, and performed whole-exome sequencing. The average depth of the samples was 1,200×, and the average exome coverage was 98.90%., Results: The bioinformatics analysis identified 3,125 single nucleotide variants (SNVs) and 299 insertions/deletions (InDels). The major mutation characteristics of the SNVs were C > A and C > T. The non-synonymous SNV types included stopgain, and stoploss. The non-synonym InDels included frameshift deletion, frameshift insertion, and stopgain. We also found a total of 67,873 copy number variations (CNVs) in the samples. The genes with the highest mutation frequency included mucin 4 (MUC4) (55.6%), tubulin tyrosine ligase like 12 (TTLL12) (33.3%), calcium voltage-gated channel subunit alpha1 (CACNA1C) (33.3%), and mucin 12 (MUC12) (33.3%). The average tumor mutation burden (TMB) was 289 mutations/million base pair (MB). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the mutated genes were mainly concentrated in micro ribonucleic acids in cancer and the calcium signaling pathway. The Gene Ontology (GO) analysis showed that mutant genes were mainly concentrated in binding cells, cell parts, and cellular processes., Conclusions: Whole-exome sequencing was performed in the Chinese keloid patients and some potential candidate genes related to keloid occurrence and development were identified, which may provide new molecular targets for the clinical diagnosis and treatment of keloid patients., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-1303/coif). The authors have no conflicts of interest to declare., (2022 Annals of Translational Medicine. All rights reserved.)