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1.
Clin. transl. oncol. (Print) ; 24(9): 1800–1808, septiembre 2022.
Artigo em Inglês | IBECS | ID: ibc-JHG-512

RESUMO

BackgroundBreast cancer (BC) prevalence steadily increases in older patients but their treatment is based on the geriatric evaluations of comorbidities and potential benefits proved in clinical trials with younger patients. The lack of better decision-making tools urges to promote the search for new prognostic markers. The association between inflammation, aging and cancer may be crucial for better treatment selection. We sought to analyze its impact on the survival of older BC patients, evaluating the interaction with age and comorbidities.MethodsWe evaluated the relationship between inflammatory biomarkers at BC diagnosis (circulating blood cell counts and inflammatory indexes) and BC-related and not related mortality rate, evaluating the influence of comorbidities and age through the competitive risks assessment.ResultsWe analyzed 148 consecutive BC patients aged ≥ 70 years old, diagnosed with BC and regional lymph node metastases. After the median follow-up of 51.5 months, 59 patients died (28 due to breast cancer progression and 31 because of other causes). Increased levels of circulating monocytes, neutrophils and neutrophil-to-lymphocytes ratio and decreased level of eosinophils and eosinophil multiple by neutrophils-to-lymphocytes ratio were associated with higher probability of BC-related death but not with death related to other causes.ConclusionOur data suggest a role of inflammatory parameters as a possible prognostic tool in therapeutic decision-making process in older patients with BC, as increased level of inflammation was associated with cancer-specific mortality. Prospective studies may give the possibility of refining the geriatric evaluation for BC treatment in elderly. (AU)


Assuntos
Humanos , Mama/patologia , Neoplasias da Mama/patologia , Inflamação/patologia , Prognóstico , Estudos Retrospectivos
2.
J Med Case Rep ; 16(1): 302, 2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35934703

RESUMO

BACKGROUND: Adenomyoepithelioma of the breast is an uncommon subtype of breast neoplasm that occurs in adults over a wide age range but most commonly in middle-aged and older adults. It usually presents as a solitary palpable mass or is detected on breast radiographic images. Histologically, it is a biphasic tumor with proliferation of both the epithelial and myoepithelial components of the glands, with variable types of tissue metaplasia. CASE PRESENTATION: A 64-year-old Saudi woman who underwent regular breast screening (mammogram) presented to our hospital following radiographic detection of a suspicious grouped microcalcification in the upper outer quadrant of her right breast on the mammogram. A wide local excision of the right breast lump was performed. Following histopathological examination of the breast lump, the final diagnosis was breast adenomyoepithelioma with mucoepidermoid/divergent differentiation, with no evidence of malignancy. About two years after the operation, a clinical follow-up conducted outside our hospital showed the development of ductal carcinoma in situ in the same breast. CONCLUSION: Although the prognosis and the plan of treatment remains the same, our case highlights the complexities in making an accurate diagnosis between the various types of metaplasia within adenomyoepithelioma on one hand and the presence of mucoepidermoid differentiation in adenomyoepithelioma on the other.


Assuntos
Adenomioepitelioma , Neoplasias da Mama , Mioepitelioma , Adenomioepitelioma/diagnóstico por imagem , Adenomioepitelioma/cirurgia , Idoso , Mama/diagnóstico por imagem , Mama/patologia , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/cirurgia , Feminino , Humanos , Metaplasia , Pessoa de Meia-Idade
3.
Eur Radiol Exp ; 6(1): 39, 2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35934721

RESUMO

BACKGROUND: Breast cancer (BC) includes different pathological and molecular subtypes. This study aimed to investigate whether multiparametric magnetic resonance imaging (mpMRI) could reliably predict the molecular status of BC, comparing mpMRI features with pathological and immunohistochemical results. METHODS: This retrospective study included 156 patients with an ultrasound-guided biopsy-proven BC, who underwent breast mpMRI (including diffusion-weighted imaging) on a 3-T scanner from 2017 to 2020. Histopathological analyses were performed on the surgical specimens. Kolmogorov-Smirnov Z, χ2, and univariate and multivariate logistic regression analyses were performed. RESULTS: Fifteen patients were affected with ductal carcinoma in situ, 122 by invasive carcinoma of no special type, and 19 with invasive lobular carcinoma. Out of a total of 141 invasive cancers, 45 were luminal A-like, 54 luminal B-like, 5 human epidermal growth factor receptor 2 (HER2) positive, and 37 triple negative. The regression analyses showed that size < 2 cm predicted luminal A-like status (p = 0.025), while rim enhancement (p < 0.001), intralesional necrosis (p = 0.001), peritumoural oedema (p < 0.001), and axillary adenopathies (p = 0.012) were negative predictors. Oppositely, round shape (p = 0.001), rim enhancement (p < 0.001), intralesional necrosis (p < 0.001), and peritumoural oedema (p < 0.001) predicted triple-negative status. CONCLUSIONS: mpMRI has been confirmed to be a valid noninvasive predictor of BC subtypes, especially luminal A and triple negative. Considering the central role of pathology in BC diagnosis and immunohistochemical profiling in the current precision medicine era, a detailed radiologic-pathologic correlation seems vital to properly evaluate BC.


Assuntos
Neoplasias da Mama , Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Feminino , Humanos , Imageamento por Ressonância Magnética/métodos , Necrose/patologia , Estudos Retrospectivos
4.
Sci Rep ; 12(1): 13547, 2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35941279

RESUMO

This study compared different approaches to measuring breast density and breast tissue composition (BTC) in adolescent girls (n = 42, aged 14-16 years) and their mothers (n = 39, aged 36-61 years) from a cohort in Santiago, Chile. Optical spectroscopy (OS) was used to measure collagen, water, and lipid concentrations, which were combined into a percent breast density index (%BDI). A clinical dual-energy X-ray absorptiometry (DXA) system calibrated to measure breast density provided percent fibroglandular volume (%FGV) from manually delineated images. After digitizing mammogram films, the percent mammographic breast density (%MBD) was measured using computer-assisted software. Partial correlation coefficients (rpartial) were used to evaluate associations between breast density measures and BTC from these three different measurement approaches, adjusting for age and body mass index. %BDI from OS was associated with %FGV from DXA in adolescent girls (rpartial = 0.46, p-value = 0.003), but not in mothers (rpartial = 0.17, p-value = 0.32). In mothers, %FGV from DXA was associated with %MBD from mammograms (rpartial = 0.60, p-value < 0.001). These findings suggest that data from OS, DXA, and mammograms provide related but distinct information about breast density and BTC. Future studies should explore how the information provided by these different devices can be used for breast cancer risk prediction in cohorts of adolescent girls and women.


Assuntos
Densidade da Mama , Neoplasias da Mama , Absorciometria de Fóton/métodos , Adolescente , Mama/diagnóstico por imagem , Neoplasias da Mama/diagnóstico por imagem , Feminino , Humanos , Mamografia/métodos
5.
BMC Cancer ; 22(1): 864, 2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35941558

RESUMO

BACKGROUND: IFN-γ has been traditionally recognized as an inflammatory cytokine that involves in inflammation and autoimmune diseases. Previously we have shown that sustained IFN-γ induced malignant transformation of bovine mammary epithelial cells (BMECs) via arginine depletion. However, the molecular mechanism underlying this is still unknown. METHODS: In this study, the amino acids contents in BMECs were quantified by a targeted metabolomics method. The acquisition of differentially expressed genes was mined from RNA-seq dataset and analyzed bioinformatically. Quantitative reverse transcription polymerase chain reaction (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), western blotting, and immunohistochemistry (IHC) assay were performed to detect gene mRNA and protein expression levels. CCK-8 and would healing assays were used to detect cell proliferation and migration abilities, respectively. Cell cycle phase alternations were analyzed by flow cytometry. RESULTS: The targeted metabolomics analysis specifically discovered IFN-γ induced arginine depletion through accelerating arginine catabolism and inhibiting arginine anabolism in BMECs. Transcriptome analysis identified leucine aminopeptidase 3 (LAP3), which was regulated by p38 and ERK MAPKs, to downregulate arginine level through interfering with argininosuccinate synthetase (ASS1) as IFN-γ stimulated. Moreover, LAP3 also contributed to IFN-γ-induced malignant transformation of BMECs by upregulation of HDAC2 (histone deacetylase 2) expression and promotion of cell cycle proteins cyclin A1 and D1 expressions. Arginine supplementation did not affect LAP3 and HDAC2 expressions, but slowed down cell cycle process of malignant BMECs. In clinical samples of patients with breast cancer, LAP3 was confirmed to be upregulated, while ASS1 was downregulated compared with healthy control. CONCLUSIONS: These results demonstrated that LAP3 mediated IFN-γ-induced arginine depletion to malignant transformation of BMECs. Our findings provide a potential therapeutic target for breast cancer both in humans and dairy cows.


Assuntos
Arginina , Neoplasias da Mama , Animais , Arginina/metabolismo , Argininossuccinato Sintase/metabolismo , Mama/metabolismo , Neoplasias da Mama/metabolismo , Bovinos , Transformação Celular Neoplásica/genética , Transformação Celular Neoplásica/metabolismo , Células Epiteliais/metabolismo , Feminino , Humanos , Interferon gama/metabolismo
6.
Medicine (Baltimore) ; 101(31): e29953, 2022 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-35945803

RESUMO

We evaluated the features of breast cancers initially assessed as probably benign at ultrasound (US). Of the 7098 patients who underwent breast cancer surgery at our institution between 2014 and 2016, 179 lesions in 178 patients who had both a prior US with Breast Imaging Reporting and Data System (BI-RADS) category 3 assessment and a recent US with a diagnosis of breast cancer were enrolled. Prior and recent US findings and category were retrospectively reassessed in line with the BI-RADS Atlas and analyzed. Of the 179 BI-RADS 3 lesions, 105 (59%) were retrospectively reassessed to category 4 and 74 (41%) retained category 3. Noncircumscribed margin, irregular shape, posterior enhancement, and nonparallel orientation were more frequently observed in the reassessment category 4 group than in the reassessment category 3 group (94% vs 43%, 81% vs 19%, 16% vs 4%, 14% vs 0%, respectively). The recent US revealed that 150 of the 179 lesions (84%) had > 20% size increase, and 121 (68%) showed morphologic changes. Margin was the most frequently observed morphologic feature to change (41%, 73/179). Care should be taken to look for subtle but suspicious US features and changes in mass, especially of margin, for early diagnosis of breast cancer.


Assuntos
Neoplasias da Mama , Ultrassonografia Mamária , Mama/diagnóstico por imagem , Mama/patologia , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Feminino , Humanos , Margens de Excisão , Estudos Retrospectivos , Ultrassonografia , Ultrassonografia Mamária/métodos
7.
Pan Afr Med J ; 42: 70, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35949476

RESUMO

Collision tumor is a rare entity composed of two different tumors that occur in close to one another and maintain distinct borders. Only few cases have been reported in the breast. We report the first case of concomitant and adjacent primary angiosarcoma (PBAS) and invasive carcinoma of the breast (IBC), in a 45-year-old patient which presented with a lump in her right breast. Biopsy revealed PBAS. She underwent mastectomy. Gross examination showed a hemorrhagic and spongy tumor in contact with a second small grayish-white mass. Histologically, the hemorrhagic tumor was consistent with a high grade (HG) PBAS; the second mass was consistent with an IBC with no images of histological admixture. The diagnosis of a collision tumor composed of HG PBAS and IBC was established. During follow-up, the patient developed ovarian angiosarcomatous metastasis. The diagnosis of breast collision tumor is very uncommon and hence is challenging for pathologist. Careful gross and microscopic examinations help in establishing the appropriate diagnosis.


Assuntos
Neoplasias da Mama , Carcinoma , Hemangiossarcoma , Mama/patologia , Neoplasias da Mama/patologia , Feminino , Hemangiossarcoma/diagnóstico , Hemangiossarcoma/patologia , Hemangiossarcoma/cirurgia , Humanos , Mastectomia , Pessoa de Meia-Idade
8.
An. Fac. Cienc. Méd. (Asunción) ; 55(2): 92-96, 20220801.
Artigo em Espanhol | LILACS | ID: biblio-1380448

RESUMO

El Tumor Desmoide, es un tumor raro de origen mesenquimal con una incidencia aproximada de 0.3% (1) que, si bien es considerado un tumor benigno por no presentar metástasis a distancia, se considera un tumor localmente agresivo con altas tasas de recidiva tras la extirpación quirúrgica de entre el 19 a 28% (2). Se presenta el caso clínico de una mujer de 21 años de edad, gestante de 7 semanas, que acudió a consulta a la Unidad de Mastología del Hospital de Clínicas por percatarse de nódulo en cuadrante superoexterno de mama derecha, que aumenta de tamaño. Se realizó exéresis tumoral con márgenes, cuyo diagnóstico fue un Tumor Desmoide y, posterior resección de márgenes para ampliación. El Tumor Desmoide es poco frecuente de localización mamaria, que fue tratada con cirugía con buena evolución en una mujer gestante, por lo que debe considerarse esta patología en pacientes jóvenes gestantes, como diagnóstico diferencial en nódulos mamarios.


Desmoid tumor is a rare tumor of mesenchymal origin with an approximate incidence of 0.3% (1). Although it is considered a benign tumor because it does not present distant metastases, it is considered a locally aggressive tumor with high rates of recurrence after surgical removal of between 19 to 28% (2). We present the clinical case of a 21-year-old woman, 7 weeks pregnant, who attended the Mastology Unit of the Hospital de Clínicas, after noticing a nodule in the upper outer quadrant of the right breast, which was increasing in size. Tumor excision with margins was performed, whose diagnosis was a Desmoid Tumor, and subsequent resection of margins for amplifying The Desmoid Tumor is rare in the breast and was treated with surgery with a good evolution in a pregnant woman, so this pathology should be considered in young pregnant patients, as a differential diagnosis in breast nodules.


Assuntos
Neoplasias da Mama , Fibromatose Agressiva , Neoplasias , Mama , Gestantes
9.
Diagn Interv Radiol ; 28(4): 322-328, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-35950276

RESUMO

PURPOSE This study aimed to verify whether the use of the Kaiser score can improve the diagnostic performance in breast magnetic resonance imaging (MRI) for suspicious lesions and avoid further invasive diagnostic approaches. METHODS This retrospective study enrolled 97 patients who underwent breast MRI before undergoing breast biopsy or surgery. Evaluations were conducted on all MRI images individually by 2 radiologists using the Kaiser score. Neither radiologist had the knowledge of the final histopathological diagnosis. The ability of the Kaiser score in diagnosis was established via a receiver performing characteristic (ROC) analysis, which was measured by the area under the ROC curve (AUC). Youden index was used to define the optimal cutoff value. Kaiser score categories were dichotomized into positive (cutoff score > 4) and negative scores (cutoff score ≤ 4). Cohen's kappa coefficient was used to analyze the inter-rater agreement. RESULTS Histopathology revealed 56 malignant and 41 benign lesions. The AUC for all lesions evaluated by the Kaiser score was 0.992 (95% CI: 0.981-1.0) and 0.958 (95% CI: 0.920-0.996) for 2 radiologists, respectively. Inter-rater agreement of the dichotomized Kaiser score was excellent (κ=0.894, P < .001). A total of 20 lesions (33.8%) previously categorized as BI-RADS 4 were reduced to BI-RADS 2/3 (19 benign lesions and 1 malignant lesion). CONCLUSION The Kaiser score is a valuable auxiliary diagnostic tool for improving the diagnostic ability of radiologists, whose experiences in breast MRI are diverse. In some cases, the application of the Kaiser score could possibly avoid unnecessary breast biopsies.


Assuntos
Neoplasias da Mama , Mamografia , Mama/diagnóstico por imagem , Mama/patologia , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Feminino , Humanos , Imageamento por Ressonância Magnética/métodos , Mamografia/métodos , Estudos Retrospectivos
10.
Sensors (Basel) ; 22(15)2022 Aug 03.
Artigo em Inglês | MEDLINE | ID: mdl-35957364

RESUMO

In computer-assisted surgery, it is typically required to detect when the tool comes into contact with the patient. In activated electrosurgery, this is known as the energy event. By continuously tracking the electrosurgical tools' location using a navigation system, energy events can help determine locations of sensor-classified tissues. Our objective was to detect the energy event and determine the settings of electrosurgical cautery-robustly and automatically based on sensor data. This study aims to demonstrate the feasibility of using the cautery state to detect surgical incisions, without disrupting the surgical workflow. We detected current changes in the wires of the cautery device and grounding pad using non-invasive current sensors and an oscilloscope. An open-source software was implemented to apply machine learning on sensor data to detect energy events and cautery settings. Our methods classified each cautery state at an average accuracy of 95.56% across different tissue types and energy level parameters altered by surgeons during an operation. Our results demonstrate the feasibility of automatically identifying energy events during surgical incisions, which could be an important safety feature in robotic and computer-integrated surgery. This study provides a key step towards locating tissue classifications during breast cancer operations and reducing the rate of positive margins.


Assuntos
Robótica , Ferida Cirúrgica , Mama , Cauterização , Eletrocirurgia , Humanos
12.
Biomed Phys Eng Express ; 8(5)2022 Aug 12.
Artigo em Inglês | MEDLINE | ID: mdl-35917778

RESUMO

Purpose: Molecular breast imaging (MBI) is used clinically to visualize the uptake of99mTc-sestamibi in breast cancers. Here, we use Monte Carlo simulations to develop a methodology to estimate tumor diameter in focal lesions and explore a semi-automatic implementation for clinical data.Methods: A validated Monte Carlo simulation of the GE Discovery NM 750b was used to simulate >75,000 unique spherical/ellipsoidal tumor, normal breast, and image acquisition conditions. Subsets of this data were used to 1) characterize the dependence of the full-width at half-maximum (FWHM) of a tumor profile on tumor, normal breast, and acquisition conditions, 2) develop a methodology to estimate tumor diameters, and 3) quantify the diameter accuracy in a broad range of clinical conditions. Finally, the methodology was implemented in patient images and compared to diameter estimates from physician contours on MBI, mammography, and ultrasound imaging.Results: Tumor profile FWHM was determined be linearly dependent on tumor diameter but independent of other factors such as tumor shape, uptake, and distance from the detector. A linear regression was used to calculate tumor diameter from the FWHM estimated from a background-corrected profile across a tumor extracted from a median-filtered single-detector MBI image, i.e., diameter = 1.2 mm + 1.2 × FWHM, for FWHM ≥ 13 mm. Across a variety of simulated clinical conditions, the mean error of the methodology was 0.2 mm (accuracy), with >50% of cases estimated within 1-pixel width of the truth (precision). In patient images, the semi-automatic methodology provided the longest diameter in 94% (60/64) of cases. The estimated true diameters, for oval lesions with homogeneous uptake, differed by ± 5 mm from physician measurements.Conclusion: This work demonstrates the feasibility of accurately quantifying tumor diameter in clinical MBI, and to our knowledge, is the first to explore its implementation and application in patient data.


Assuntos
Neoplasias da Mama , Mama , Mama/diagnóstico por imagem , Neoplasias da Mama/diagnóstico por imagem , Feminino , Humanos , Mamografia/métodos , Método de Monte Carlo , Cintilografia
13.
PLoS One ; 17(8): e0271106, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35951606

RESUMO

Deep learning techniques have achieved remarkable success in lesion segmentation and classification between benign and malignant tumors in breast ultrasound images. However, existing studies are predominantly focused on devising efficient neural network-based learning structures to tackle specific tasks individually. By contrast, in clinical practice, sonographers perform segmentation and classification as a whole; they investigate the border contours of the tissue while detecting abnormal masses and performing diagnostic analysis. Performing multiple cognitive tasks simultaneously in this manner facilitates exploitation of the commonalities and differences between tasks. Inspired by this unified recognition process, this study proposes a novel learning scheme, called the cross-task guided network (CTG-Net), for efficient ultrasound breast image understanding. CTG-Net integrates the two most significant tasks in computerized breast lesion pattern investigation: lesion segmentation and tumor classification. Further, it enables the learning of efficient feature representations across tasks from ultrasound images and the task-specific discriminative features that can greatly facilitate lesion detection. This is achieved using task-specific attention models to share the prediction results between tasks. Then, following the guidance of task-specific attention soft masks, the joint feature responses are efficiently calibrated through iterative model training. Finally, a simple feature fusion scheme is used to aggregate the attention-guided features for efficient ultrasound pattern analysis. We performed extensive experimental comparisons on multiple ultrasound datasets. Compared to state-of-the-art multi-task learning approaches, the proposed approach can improve the Dice's coefficient, true-positive rate of segmentation, AUC, and sensitivity of classification by 11%, 17%, 2%, and 6%, respectively. The results demonstrate that the proposed cross-task guided feature learning framework can effectively fuse the complementary information of ultrasound image segmentation and classification tasks to achieve accurate tumor localization. Thus, it can aid sonographers to detect and diagnose breast cancer.


Assuntos
Neoplasias da Mama , Processamento de Imagem Assistida por Computador , Mama/diagnóstico por imagem , Neoplasias da Mama/diagnóstico por imagem , Feminino , Humanos , Processamento de Imagem Assistida por Computador/métodos , Redes Neurais de Computação , Ultrassonografia , Ultrassonografia Mamária
14.
Cells ; 11(15)2022 Aug 08.
Artigo em Inglês | MEDLINE | ID: mdl-35954308

RESUMO

Increasing attention has been paid to the biological roles of tripartite motif-containing (TRIM) family proteins, which typically function as E3 ubiquitin ligases. Estrogen-responsive finger protein (Efp), a member of the TRIM family proteins, also known as TRIM25, was originally identified as a protein induced by estrogen and plays critical roles in promoting endocrine-related cancers, including breast cancer, endometrial cancer, and prostate cancer. The pathophysiological importance of Efp made us interested in the roles of other TRIM family proteins that share a similar structure with Efp. Based on a phylogenetic analysis of the C-terminal region of TRIM family proteins, we focused on TRIM47 as a protein belonging to the same branch as Efp. TRIM47 is a poor prognostic factor in both breast cancer and prostate cancer. Atypical lysine-27-like poly-ubiquitination was involved in the underlying mechanism causing endocrine resistance in breast cancer. We also discuss the functions of Efp and TRIM47 in other types of cancers and innate immunity by introducing substrates the are modified by poly-ubiquitination.


Assuntos
Neoplasias da Mama , Neoplasias da Próstata , Mama/metabolismo , Neoplasias da Mama/genética , Neoplasias da Mama/metabolismo , Proteínas de Transporte/genética , Proteínas de Transporte/metabolismo , Estrogênios , Humanos , Masculino , Proteínas de Neoplasias/metabolismo , Proteínas Nucleares/metabolismo , Filogenia , Neoplasias da Próstata/genética , Neoplasias da Próstata/metabolismo , Fatores de Transcrição/metabolismo , Proteínas com Motivo Tripartido/genética , Proteínas com Motivo Tripartido/metabolismo , Ubiquitina-Proteína Ligases/genética , Ubiquitina-Proteína Ligases/metabolismo
16.
BMC Cancer ; 22(1): 852, 2022 Aug 04.
Artigo em Inglês | MEDLINE | ID: mdl-35927628

RESUMO

Tumor acidosis, a common phenomenon in solid cancers such as breast cancer, is caused by the abnormal metabolism of cancer cells. The low pH affects cells surrounding the cancer, and tumor acidosis has been shown to inhibit the activity of immune cells. Despite many previous studies, the immune surveillance mechanisms are not fully understood. We found that the expression of PD-L1 was significantly increased under conditions of extracellular acidosis in MDA-MB-231 cells. We also confirmed that the increased expression of PD-L1 mediated by extracellular acidosis was decreased when the pH was raised to the normal range. Gene set enrichment analysis (GSEA) of public breast cancer patient databases showed that PD-L1 expression was also highly correlated with IL-6/JAK/STAT3 signaling. Surprisingly, the expression of both phospho-tyrosine STAT3 and PD-L1 was significantly increased under conditions of extracellular acidosis, and inhibition of STAT3 did not increase the expression of PD-L1 even under acidic conditions in MDA-MB-231 cells. Based on these results, we suggest that the expression of PD-L1 is increased by tumor acidosis via activation of STAT3 in MDA-MB-231 cells.


Assuntos
Antígeno B7-H1 , Neoplasias da Mama , Antígeno B7-H1/metabolismo , Mama/patologia , Neoplasias da Mama/patologia , Linhagem Celular Tumoral , Feminino , Humanos , Fator de Transcrição STAT3/genética , Fator de Transcrição STAT3/metabolismo , Transdução de Sinais , Microambiente Tumoral
17.
J Popul Ther Clin Pharmacol ; 29(2): e88-e94, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35848201

RESUMO

OBJECTIVE: This study aimed to assess the diagnostic role of perfusion weighted image (DCE-PWI) to differentiate benign from malignant breast lesions. PATIENTS AND METHODS: The study comprised 32 women who had mammography and/or breast ultrasonography findings that were clinically questionable. All patients were fasting during the magnetic resonance imaging (MRI) test to avoid nausea or dynamic contrast-enhanced vomiting from the contrast medium. RESULT: In this study, we observed the form of the dynamic curve (time and signal intensity curve) type I (persistent curve) was noted in 12 lesions (37.5%): 10 lesions were benign and two lesions were malignant; type II (plateau curve) was noted in eight lesions (25%): three lesions were benign and five lesions were malignant, and type III (washout curve) noted in 12 lesions (37.5%): one lesion was benign and 11 lesions were malignant. CONCLUSIONS: The dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) perfusion technique plays an important role in differentiating benign and malignant tumors in breast cancer.


Assuntos
Meios de Contraste , Imageamento por Ressonância Magnética , Mama/patologia , Diagnóstico Diferencial , Feminino , Humanos , Imageamento por Ressonância Magnética/métodos , Estudos Retrospectivos , Sensibilidade e Especificidade
18.
Adv Anat Pathol ; 29(5): 309-323, 2022 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-35838633

RESUMO

Spindle cell proliferations of the breast are a heterogeneous group of lesions ranging from benign or reactive lesions to aggressive malignant neoplasms. Diagnosis on core biopsy can be particularly challenging as lesions displaying different lineages associated with variable outcomes share overlapping morphologies (scar vs. fibromatosis-like metaplastic carcinoma) whereas individual entities can exhibit a large variety of appearances (myofibroblastoma). In this review, lesions are grouped into lineage, when possible, including those showing fibroblastic/myofibroblastic differentiation, ranging from entities that require no additional management, such as scar and nodular fasciitis, to those with unpredictable clinical outcomes such as fibromatosis and solitary fibrous tumor or locally aggressive behavior such as dermatofibrosarcoma protuberans. The review of low-grade vascular lesions includes atypical vascular lesion and low-grade angiosarcoma. Also discussed are various adipocytic lesions ranging from lipoma to liposarcoma, and rare smooth muscle and neural entities more commonly encountered in locations outside the breast, such as leiomyoma, neurofibroma, schwannoma, or granular cell tumor. Optimal histological evaluation of these entities merges clinical and radiologic data with morphology and ancillary testing. We present our approach to immunohistochemical and other ancillary testing and highlight issues in pathology correlation with imaging. Recent updates in the management of breast spindle cell lesions are addressed. In a well-sampled lesion with radiographic concordance, the core biopsy diagnosis reliably guides management and we advocate the inclusion of management recommendations in the pathology report. Precise characterization using up to date guidelines is important to identify a subset of patients who may safely avoid unnecessary surgical procedures. A multidisciplinary approach with close collaboration with our clinical colleagues is emphasized.


Assuntos
Neoplasias da Mama , Fibroma , Biópsia por Agulha , Mama/patologia , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/patologia , Cicatriz/patologia , Diagnóstico Diferencial , Feminino , Fibroma/diagnóstico , Fibroma/patologia , Humanos
19.
Cleve Clin J Med ; 89(7): 371-372, 2022 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-35777840
20.
Biomed Res Int ; 2022: 4609625, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35800216

RESUMO

Breast cancer is the most common cancer in women, and the breast mass recognition model can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image samples makes the recognition model prone to overfitting. A breast mass recognition model integrated with deep pathological information mining is proposed: constructing a sample selection strategy, screening high-quality samples across different mammography image datasets, and dealing with the scarcity of medical image samples from the perspective of data enhancement; mining the pathology contained in limited labeled models from shallow to deep information; and dealing with the shortage of medical image samples from the perspective of feature optimization. The multiview effective region gene optimization (MvERGS) algorithm is designed to refine the original image features, improve the feature discriminate and compress the feature dimension, better match the number of samples, and perform discriminate correlation analysis (DCA) on the advanced new features; in-depth cross-modal correlation between heterogeneous elements, that is, the deep pathological information, can be mined to describe the breast mass lesion area accurately. Based on deep pathological information and traditional classifiers, an efficient breast mass recognition model is trained to complete the classification of mammography images. Experiments show that the key technical indicators of the recognition model, including accuracy and AUC, are better than the mainstream baselines, and the overfitting problem caused by the scarcity of samples is alleviated.


Assuntos
Neoplasias da Mama , Aprendizado Profundo , Algoritmos , Mama/diagnóstico por imagem , Neoplasias da Mama/diagnóstico por imagem , Feminino , Humanos , Mamografia/métodos
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