Diagnostic value of lymphography of the arm in the preoperative diagnosis of early metastasis in breast cancer

SummaryAim: To evaluate the diagnostic value (sensitivity, specificity) of positron emission mammography (PEM) in a single site non-interventional study using the maximum PEM uptake value (PUVmax). Patients, methods: In a singlesite, non-interventional study, 108 patients (107 women, 1 man) with a total of 151 suspected lesions were scanned with a PEM Flex Solo II (Naviscan) at 90 min p.i. with 3.5 MBq 18F-FDG per kg of body weight. In this ROI(region of interest)-based analysis, maximum PEM uptake value (PUV) was determined in lesions, tumours (PUVmaxtumour), benign lesions (PUVmaxnormal breast) and also in healthy tissues on the contralateral side (PUVmaxcontralateral breast). These values were compared and contrasted. In addition, the ratios of PUVmaxtumour / PUVmaxcontralateral breast and PUVmaxnormal breast / PUVmaxcontralateral breast were compared. The image data were interpreted independently by two experienced nuclear medicine physicians and compared with histology in cases of suspected carcinoma. Results: Based on a criteria of PUV>1.9, 31 out of 151 lesions in the patient cohort were found to be malignant (21%). A mean PUVmaxtumour of 3.78 ± 2.47 was identified in malignant tumours, while a mean PUVmaxnormal breast of 1.17 ± 0.37 was reported in the glandular tissue of the healthy breast, with the difference being statistically significant (p < 0.001). Similarly, the mean ratio between tumour and healthy glandular tissue in breast cancer patients (3.15 ± 1.58) was found to be significantly higher than the ratio for benign lesions (1.17 ± 0.41, p < 0.001). Conclusion: PEM is capable of differentiating breast tumours from benign lesions with 100% sensitivity along with a high specificity of 96%, when a threshold of PUVmax >1.9 is applied.

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Discovery and function exploration of microRNA-155 as a molecular biomarker for early detection of breast cancer

Breast Cancer ◽

10.1007/s12282-021-01215-2 ◽

2021 ◽

Author(s):

Xuemin Liu ◽

Qingyu Chang ◽

Haiqiang Wang ◽

Hairong Qian ◽

Yikun Jiang

Keyword(s):

Breast Cancer ◽

Early Detection ◽

Protein Interactions ◽

Meta Analysis ◽

Enrichment Analysis ◽

Diagnostic Value ◽

Diagnostic Biomarker ◽

Analysis Model ◽

Sensitivity Specificity ◽

Function Enrichment

Abstract Background MicroRNA-155 (miR-155) may function as a diagnostic biomarker of breast cancer (BC). Nevertheless, the available evidence is controversial. Therefore, we performed this study to summarize the global predicting role of miR-155 for early detection of BC and preliminarily explore the functional roles of miR-155 in BC. Methods We first collected published studies and applied the bivariate meta-analysis model to generate the pooled diagnostic parameters of miR-155 in diagnosing BC such as sensitivity, specificity and area under curve (AUC). Then, we applied function enrichment and protein–protein interactions (PPI) analyses to explore the potential mechanisms of miR-155. Results A total of 21 studies were finally included. The results indicated that miR-155 allowed for the discrimination between BC patients and healthy controls with a sensitivity of 0.87 (95% CI 0.78–0.93), specificity of 0.82 (0.72–0.89), and AUC of 0.91 (0.88–0.93). In addition, the overall sensitivity, specificity and AUC for circulating miR-155 were 0.88 (0.76–0.95), 0.83 (0.72–0.90), and 0.92 (0.89–0.94), respectively. Function enrichment analysis revealed several vital ontologies terms and pathways associated with BC occurrence and development. Furthermore, in the PPI network, ten hub genes and two significant modules were identified to be involved in some important pathways associated with the pathogenesis of BC. Conclusions We demonstrated that miR-155 has great potential to facilitate accurate BC detection and may serve as a promising diagnostic biomarker for BC. However, well-designed cohort studies and biological experiments should be implemented to confirm the diagnostic value of miR-155 before it can be applied to routine clinical procedures.

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Breast Angiosarcoma with a Preoperative Diagnosis of Late Recurrence of Breast Cancer: A Case Report

Case Reports in Oncology ◽

10.1159/000513906 ◽

2021 ◽

pp. 604-609

Author(s):

Rika Kouhashi ◽

Shinichiro Kashiwagi ◽

Yuka Asano ◽

Tamami Morisaki ◽

Sae Ishihara ◽

...

Keyword(s):

Breast Cancer ◽

Preoperative Diagnosis ◽

Vascular Endothelial Cells ◽

Interstitial Fibrosis ◽

Late Recurrence ◽

Breast Conserving Surgery ◽

Surrounding Tissue ◽

Axillary Lymph ◽

Elevated Lesion ◽

The Right

Angiosarcoma is a malignant mesenchymal tumor characterized by the presence of vascular endothelial cells. Although rare, angiosarcoma developing in the mammary glands has a poor prognosis. We report a case of breast angiosarcoma with a preoperative diagnosis of late recurrence of breast cancer. A 78-year-old woman noticed a tumor in her right breast and visited our hospital. The patient had undergone breast-conserving surgery and axillary lymph node dissection from the right breast 12 years before the visit. The tumor was diagnosed as T4bN0M0, stage IIIB. Anastrozole was administered as postoperative adjuvant therapy for 5 years; the patient also received 50-Gy whole-breast radiation therapy after surgery. Physical examination during her visit revealed an elevated lesion with blue purpura around the nipple in the right breast. We performed breast ultrasound and detected a well-defined 19.6 × 16.4 × 10.7 mm hypoechoic tumor in the left subareolar area. The patient underwent core needle biopsy (CNB). Based on the CNB specimen findings, she was suspected to experience late local recurrence after surgery. Therefore, she underwent total mastectomy after breast-conserving surgery. A dark-red tumor sized 18 × 12 mm was found in a specimen from the nipple. The pathological diagnosis of the specimen revealed short spindle-shaped tumor cells with strong nuclear pleomorphism and a significant interstitial fibrosis. Immunohistochemistry using D2-40 and CD31 antibodies showed irregular luminal proliferation at the anastomosis, infiltration into the surrounding tissue, and massive necrosis, thereby leading to the diagnosis of breast angiosarcoma. We have reported a case of breast angiosarcoma with a preoperative diagnosis of late recurrence of breast cancer.

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Diagnostic value of susceptibility-weighted imaging for endometrioma: preliminary results from a retrospective analysis

Acta Radiologica ◽

10.1177/02841851211022495 ◽

2021 ◽

pp. 028418512110224

Author(s):

Hong Chen ◽

Guoliang Wang ◽

Xuexue Wang ◽

Yan Gao ◽

Junhua Liang ◽

...

Keyword(s):

Cyst Wall ◽

Preoperative Diagnosis ◽

Final Analysis ◽

Diagnostic Value ◽

Susceptibility Weighted Imaging ◽

Hemorrhagic Disease ◽

Presenting Symptoms ◽

Clinical Diagnoses ◽

Magnetic Resonance Imaging Mri ◽

Age Range

Background Endometrioma is a common manifestation of endometriosis that can be difficult to diagnose with conventional magnetic resonance imaging (MRI). Susceptibility-weighted imaging (SWI) may be more sensitive than conventional MRI in the detection of chronic, local hemorrhagic disease. Purpose To investigate whether signal voids in SWI sequences could be used in the preoperative diagnosis of endometrioma. Material and Methods This retrospective study included consecutive female patients with clinically suspected endometrioma. All patients underwent pelvic 3-T MRI (T1- and T2-weighted) and SWI within two weeks before laparoscopy. Two experienced radiologists blinded to the histopathologic/clinical diagnoses interpreted the images together, and any disagreements were resolved by consensus. Results The final analysis included 73 patients: 46 patients (mean age=37 years; age range=22–68 years) with 85 endometrioma lesions and 27 patients (mean age=34 years; age range=15–68 years) with 34 non-endometrioid cystic lesions (18 hemorrhagic corpus luteal cysts, three simple cysts, three mucinous cystadenomas, two mature teratomas, and one endometrioid cyst with corpus luteum rupture/hemorrhage). The presenting symptoms for patients with endometrioma were chronic pelvic pain (44.6%), dysmenorrhea (31.9%), infertility (12.8%), dyspareunia (6.4%), and menstrual irregularity (4.3%). MRI identified all 119 lesions observed laparoscopically. SWI visualized punctate or curvilinear signal voids along the cyst wall or within the lesion in 67 of 85 endometriomas (78.8%) and only 3 of 31 non-endometrioid cysts (8.8%). Conclusion The use of SWI to look for signal voids in the cyst wall or within the lesion could facilitate the preoperative diagnosis of endometrioma.

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α-Linolenic acid content of adipose breast tissue: a host determinant of the risk of early metastasis in breast cancer

British Journal of Cancer ◽

10.1038/bjc.1994.302 ◽

1994 ◽

Vol 70 (2) ◽

pp. 330-334 ◽

Cited By ~ 45

Author(s):

P Bougnoux ◽

S Koscielny ◽

V Chajès ◽

P Descamps ◽

C Couet ◽

...

Keyword(s):

Breast Cancer ◽

Linolenic Acid ◽

Acid Content ◽

Breast Tissue ◽

Linolenic Acid Content ◽

Early Metastasis

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Differential Expression of Insulin‐Like Growth Factor‐1 Receptor in Breast Cancer Subtypes: A Marker of Early Metastasis in HER‐2 Subtype

The FASEB Journal ◽

10.1096/fasebj.2020.34.s1.02830 ◽

2020 ◽

Vol 34 (S1) ◽

pp. 1-1

Author(s):

Iman M. Talaat ◽

Wafaa S. Ramadan ◽

Mahmood Y. Hachim ◽

Ibrahim Y. Hachim ◽

Nada S. Yakout ◽

...

Keyword(s):

Breast Cancer ◽

Growth Factor ◽

Differential Expression ◽

Breast Cancer Subtypes ◽

Insulin Like Growth Factor ◽

Early Metastasis ◽

Cancer Subtypes ◽

Her 2

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The Diagnostic Value of PET/CT in Breast Cancer Recurrence and Metastases

The Egyptian Journal Nuclear Medicine ◽

10.21608/egyjnm.2017.46222 ◽

2017 ◽

Vol 15 (2) ◽

pp. 37-51

Author(s):

Taalab, Kh. ◽

Abutaleb, S ◽

Moftah, G ◽

Abdel-Mutaleb, G ◽

Abdl-Mawla, A

Keyword(s):

Breast Cancer ◽

Cancer Recurrence ◽

Diagnostic Value ◽

Breast Cancer Recurrence ◽

Pet Ct

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Serum Inflammatory Biomarkers in the Diagnosis of Periprosthetic Joint Infections

Biomedicines ◽

10.3390/biomedicines9091128 ◽

2021 ◽

Vol 9 (9) ◽

pp. 1128

Author(s):

Irene K. Sigmund ◽

Stephan E. Puchner ◽

Reinhard Windhager

Keyword(s):

Platelet Count ◽

Mean Platelet Volume ◽

Preoperative Diagnosis ◽

Clinical Symptoms ◽

Volume Ratio ◽

Diagnostic Value ◽

Inflammatory Biomarkers ◽

Platelet Volume ◽

Joint Infections ◽

D Dimer

Accurate preoperative diagnosis of periprosthetic joint infections (PJIs) can be very challenging, especially in patients with chronic PJI caused by low-virulence microorganisms. Serum parameters, such as serum C-reactive protein (CRP) or the erythrocyte sedimentation rate (ESR), are—among other diagnostic test methods—widely used to distinguish septic from aseptic failure after total hip or knee arthroplasty and are recommended by the AAOS in the preoperative setting. However, they are systemic parameters, and therefore, unspecific. Nevertheless, they may be the first and occasionally the only preoperative indication, especially when clinical symptoms are lacking. They are easy to obtain, cheap, and are available worldwide. In the last decade, different novel serum biomarkers (percentage of neutrophils, neutrophils to lymphocytes ratio, platelet count to mean platelet volume ratio, fibrinogen, D-Dimer, Il-6, PCT) were investigated to find a more specific and accurate serum parameter in the diagnosis of PJI. This article reviews the diagnostic value of established (serum CRP, ESR, WBC) and ‘novel’ serum inflammatory biomarkers (fibrinogen, D-dimer, interleukin-6 (IL-6), procalcitonin, percentage of neutrophils (%N), neutrophils to lymphocytes ratio (NLR), platelet count to mean platelet volume ratio (PC/mPV)) for the preoperative diagnosis of periprosthetic joint infections.

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Identification of differentially methylated genes as diagnostic and prognostic biomarkers of breast cancer

World Journal of Surgical Oncology ◽

10.1186/s12957-021-02124-6 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Xiao-hong Mao ◽

Qiang Ye ◽

Guo-bing Zhang ◽

Jin-ying Jiang ◽

Hong-ying Zhao ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Diagnosis ◽

High Sensitivity ◽

Breast Cancer Diagnosis ◽

Diagnostic Value ◽

Methylation Pattern ◽

Clinical Value ◽

Roc Curve Analysis ◽

Differentially Methylated Genes ◽

Sensitivity Specificity

Abstract Background Aberrant DNA methylation is significantly associated with breast cancer. Methods In this study, we aimed to determine novel methylation biomarkers using a bioinformatics analysis approach that could have clinical value for breast cancer diagnosis and prognosis. Firstly, differentially methylated DNA patterns were detected in breast cancer samples by comparing publicly available datasets (GSE72245 and GSE88883). Methylation levels in 7 selected methylation biomarkers were also estimated using the online tool UALCAN. Next, we evaluated the diagnostic value of these selected biomarkers in two independent cohorts, as well as in two mixed cohorts, through ROC curve analysis. Finally, prognostic value of the selected methylation biomarkers was evaluated breast cancer by the Kaplan-Meier plot analysis. Results In this study, a total of 23 significant differentially methylated sites, corresponding to 9 different genes, were identified in breast cancer datasets. Among the 9 identified genes, ADCY4, CPXM1, DNM3, GNG4, MAST1, mir129-2, PRDM14, and ZNF177 were hypermethylated. Importantly, individual value of each selected methylation gene was greater than 0.9, whereas predictive value for all genes combined was 0.9998. We also found the AUC for the combined signature of 7 genes (ADCY4, CPXM1, DNM3, GNG4, MAST1, PRDM14, ZNF177) was 0.9998 [95% CI 0.9994–1], and the AUC for the combined signature of 3 genes (MAST1, PRDM14, and ZNF177) was 0.9991 [95% CI 0.9976–1]. Results from additional validation analyses showed that MAST1, PRDM14, and ZNF177 had high sensitivity, specificity, and accuracy for breast cancer diagnosis. Lastly, patient survival analysis revealed that high expression of ADCY4, CPXM1, DNM3, PRDM14, PRKCB, and ZNF177 were significantly associated with better overall survival. Conclusions Methylation pattern of MAST1, PRDM14, and ZNF177 may represent new diagnostic biomarkers for breast cancer, while methylation of ADCY4, CPXM1, DNM3, PRDM14, PRKCB, and ZNF177 may hold prognostic potential for breast cancer.

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