Axillary Node Research Articles

Contemporaneous Symptom Networks of Breast Cancer-Related Upper Limb Lymphedema: A Network Analysis.

Upper limb lymphedema (ULL) is a common and deliberating complication for breast cancer survivors (BCSs). Breast cancer survivors with ULL reported a wide range of symptoms. However, little is known about symptom patterns and interrelationships among them. This study was designed to explore symptom clusters and construct symptom networks of ULL-related symptoms among BCSs and to identify the core symptoms. This study is a secondary data analysis using datasets from three cross-sectional studies of BCSs in China. A total of 341 participants with maximum interlimb circumference ≥2 cm and complete responses in Part I of the Breast Cancer and Lymphedema Symptom Experience Index were included. Symptom clusters were identified through principal component analysis, and multiple linear regression analysis was employed to explore factors associated with severity of overall ULL-related symptoms. A contemporaneous network with 20 frequently reported symptoms were constructed after controlling for covariates. Three symptom clusters, including lymph stasis symptom cluster, nerve symptom cluster, and movement limitation symptom cluster, were identified. Postsurgery time, axillary lymph node dissection, and radiotherapy were associated with the severity of ULL-related symptoms. Tightness (rs = 1.379; rscov = 1.097), tingling (rs = 1.264; rscov = 0.925), and firmness (rs = 1.170; rscov = 0.923) were the most central symptoms in both networks with and without covariates. Breast cancer survivors with ULL experienced severe symptom burden. Tightness, tingling, and firmness were core symptoms of ULL among BCSs. Our findings demonstrated that the assessment and targeted intervention of specific core symptoms might help to relive effectively the burden of ULL-related symptom among BCSs.

Identifying Key Genes Involved in Axillary Lymph Node Metastasis in Breast Cancer Using Advanced RNA-Seq Analysis: A Methodological Approach with GLMQL and MAS.

Our study aims to address the methodological challenges frequently encountered in RNA-Seq data analysis within cancer studies. Specifically, it enhances the identification of key genes involved in axillary lymph node metastasis (ALNM) in breast cancer. We employ Generalized Linear Models with Quasi-Likelihood (GLMQLs) to manage the inherently discrete and overdispersed nature of RNA-Seq data, marking a significant improvement over conventional methods such as the t-test, which assumes a normal distribution and equal variances across samples. We utilize the Trimmed Mean of M-values (TMMs) method for normalization to address library-specific compositional differences effectively. Our study focuses on a distinct cohort of 104 untreated patients from the TCGA Breast Invasive Carcinoma (BRCA) dataset to maintain an untainted genetic profile, thereby providing more accurate insights into the genetic underpinnings of lymph node metastasis. This strategic selection paves the way for developing early intervention strategies and targeted therapies. Our analysis is exclusively dedicated to protein-coding genes, enriched by the Magnitude Altitude Scoring (MAS) system, which rigorously identifies key genes that could serve as predictors in developing an ALNM predictive model. Our novel approach has pinpointed several genes significantly linked to ALNM in breast cancer, offering vital insights into the molecular dynamics of cancer development and metastasis. These genes, including ERBB2, CCNA1, FOXC2, LEFTY2, VTN, ACKR3, and PTGS2, are involved in key processes like apoptosis, epithelial-mesenchymal transition, angiogenesis, response to hypoxia, and KRAS signaling pathways, which are crucial for tumor virulence and the spread of metastases. Moreover, the approach has also emphasized the importance of the small proline-rich protein family (SPRR), including SPRR2B, SPRR2E, and SPRR2D, recognized for their significant involvement in cancer-related pathways and their potential as therapeutic targets. Important transcripts such as H3C10, H1-2, PADI4, and others have been highlighted as critical in modulating the chromatin structure and gene expression, fundamental for the progression and spread of cancer.

Lymphedema Rates Following Axillary Lymph Node Dissection With and Without Immediate Lymphatic Reconstruction: A Prospective Trial.

Immediate lymphatic reconstruction (ILR) has been proposed to decrease lymphedema rates. The primary aim of our study was to determine whether ILR decreased the incidence of lymphedema in patients undergoing axillary lymph node dissection (ALND). We conducted a two-site pragmatic study of ALND with or without ILR, employing surgeon-level cohort assignment, based on breast surgeons' preferred standard practice. Lymphedema was assessed by limb volume measurements, patient self-reporting, provider documentation, and International Classification of Diseases, Tenth Revision (ICD-10) codes. Overall, 230 patients with breast cancer were enrolled; on an intention-to-treat basis, 99 underwent ALND and 131 underwent ALND with ILR. Of the 131 patients preoperatively planned for ILR, 115 (87.8%) underwent ILR; 72 (62.6%) were performed by one breast surgical oncologist and 43 (37.4%) by fellowship-trained microvascular plastic surgeons. ILR was associated with an increased risk of lymphedema when defined as ≥10% limb volume change on univariable analysis, but not on multivariable analysis, after propensity score adjustment. We did not find a statistically significant difference in limb volume measurements between the two cohorts when including subclinical lymphedema (≥5% inter-limb volume change), nor did we see a difference in grade between the two cohorts on an intent-to-treat or treatment received basis. For all patients, considering ascertainment strategies of patient self-reporting, provider documentation, and ICD-10 codes, as a single binary outcome measure, there was no significant difference in lymphedema rates between those undergoing ILR or not. We found no significant difference in lymphedema rates between patients undergoing ALND with or without ILR.

[Artículo traducido] Efectividad y seguridad del tratamiento neoadyuvante del cáncer de mama triple negativo en la vida real

ObjectiveTriple-negative breast cancer is a subtype of aggressive breast cancer. Our aim is to evaluate the effectiveness and safety of neoadjuvant treatment in early-stage triple-negative breast cancer and to identify predictors of pathological complete response. MethodsThis is a single-center, retrospective study involving 79 patients with triple-negative breast cancer who initiated neoadjuvant treatment between January 2017 and October 2022. Descriptive analyses were performed as appropriate. Statistical analysis utilized bivariate logistic regression to explore the presence of factors related to pathological complete response, and the Kaplan–Meier method was employed for survival analysis. ResultsIn the overall population, 27 patients (n = 78; 34.6%) achieved pathological complete response in the breast and axillary lymph nodes, and 31 (n = 73; 42.5%) achieved a grade 5 pathological complete response in the breast, according to the Miller and Payne classification. The addition of platinum to standard therapy improved both breast and axillary lymph node pathological complete response rates. Age less than 40 years was identified as a predictor of pathological complete response in our study population through bivariate analysis, while Ki67 levels lower than 70% were associated with a lower pathological complete response rate. Adverse events were reported in 72 patients (91.1%), with grade 3–5 adverse events observed in 33 (41.8%). There was a particularly notable increase in gastrointestinal and hematological adverse events when platinum was added. ConclusionsIn this population, we observed moderate rates of pathological complete response with acceptable chemotherapy tolerance. Platinum-based chemotherapy appears to enhance the likelihood of achieving pathological complete response, albeit with a less favorable safety profile. Therefore, evaluating the benefit–risk balance is crucial when selecting the optimal chemotherapy regimen for individual patients.

Chyle Leak Management in the Setting of Tissue Expander Breast Reconstruction with Acellular Dermal Matrix: Case Series and Literature Review.

Chylous leakage is a rare surgical complication most frequently encountered following operations involving the neck and thorax. Even more rare are axillary chyle leaks secondary to breast cancer involving the axillary lymph nodes. Anatomic variability in the termination of the thoracic duct may play a role in the susceptibility some individuals may have to this type of leakage. There is no consensus on the definitive management of these complications, especially in the context of breast reconstruction. Here, we report our experience in the management of chylous leakage in three patients who underwent left axillary lymph node dissection and immediate breast reconstruction with the use of tissue expanders and acellular dermal matrix. Descriptions of each case are followed by a review of the relevant literature. We also present an original treatment algorithm. Two of three patients with suspected chylous leakage secondary to intraoperative injury to the axillary region underwent definitive diagnosis by clinical examination and drain fluid triglyceride analysis, followed by conservative management with a low-fat diet. The third patient was diagnosed clinically with no fluid analysis. All leakages resolved through conservative means, with no need to return to the operating room for surgical exploration and repair. Based on our experience, we believe that patients with suspected chylous leakage secondary to axillary lymph node dissection in the context of breast reconstruction can be safely and effectively managed by conservative management in the acute postoperative period. If these measures are insufficient, surgical management may be necessary.

Evaluation of Ethos intelligent optimization engine for left locally advanced breast cancer.

To evaluate the feasibility to use a standard Ethos planning template to treat left-sided breast cancer with regional lymph nodes. The tuning cohort of 5 patients was used to create a planning template. The validation cohort included 15 patients treated for a locally advanced left breast cancer randomly enrolled. The Ethos planning template was tuned using standard 3 partial arc VMAT and two collimator rotation configurations: 45/285/345° and 30/60/330°. Re-planning was performed automatically using the template without editing. The study was conducted with a schedule of 42.3 Gy in 18 fractions to the breast/chestwall, internal mammary chain (IMC) and regional lymph nodes ("Nodes"). The PTV was defined as a 3D extension of the CTV with a margin of 7mm, excluding the 5mm below the skin. The manual treatment plans were performed using Eclipse treatment planning system with AAA and PO algorithms (v15.6) and a manual arc VMAT configuration and imported in Ethos TPS (v1.1) for a dose calculation with Ethos Acuros algorithm. The automated plans were compared with the manual plans using PTV and CTV coverage, homogeneity and conformity indices (HI and CN) and doses to organs at risk (OAR) via DVH metrics. For each plan, the patient quality assurance (QA) were performed using Mobius3D and gamma index. Finally, two breast radiation oncologists performed a blinded assessment of the clinical acceptability of each of the three plans (manual and automated) for each patient. The manual and automated plans provided suitable treatment planning as regards dose constraints. The dosimetric comparison showed the CTV_breast D99% were significantly improved with both automated plans (p< 0,002) while PTV coverage was comparable. The doses to the organs at risk were equivalent for the three plans. Concerning treatment delivery, the Ethos-45° and Ethos-30° plans led to an increase in MUs compared to the manual plans, without affecting the beam on time. The average gamma index pass rates remained consistently above 98% regardless of the type of plan utilized. In the blinded evaluation, clinicians 1 and 2 assessed 13 out of 15 plans for Ethos 45° and 11 out of 15 plans for Ethos 30° as clinically acceptable. Using a standard planning template for locally advanced breast cancer, the Ethos TPS provided automated plans that were clinically acceptable and comparable in quality to manually generated plans. Automated plans also dramatically reduce workflow and operator variability.

Additional confirmation of successful cell suspension fractionation of metastatic axillary node tissue

We present herein an extension to our recently developed and published method termed "Fractionation of Nodal Cell Suspension" (FNCS). The method enables efficient subcellular fractionation into nuclear (N) and cytosolic (C) compartments of extremely fibrous and problematic metastatic axillary lymph node (mALN) tissue, using the entire nodule. For the purpose of the present study, a case of invasive lobular breast cancer (BC) patient with pT2N3aMx status and defined primary tumor markers (ERα 8, PR-B 8, and HER2 score 0) was available. Initially, the mALN tissue of this patient was analyzed by immunohistochemistry (IHC), and a positive correlation of nodal ERα, PR-B and HER2 biomarkers to those of the primary tumor was obtained. Subsequently, the mALN was FNCS fractionated into N and C, and Western blot (WB) analysis demonstrated a single band for ERα, PR-B and nuclear loading control (HDAC1) in nuclear, but not in the cytosolic compartments, confirming the efficiency of our fractionation protocol. At the same time, HER2 bands were not observed in either compartment, in accordance with HER2 negativity determined by IHC in both primary tumor and mALN tissue. In conclusion, by confirming the nuclear expression of ERα and PR-B biomarkers in metastatic loci, we demonstrate the purity of the FNCS-generated compartments - the protocol that offers a reliable tool for further analysis of nuclear versus cytosolic content in downstream analysis of novel biomarkers in the whole mALN of BC patients.

Ultrasonographic features of the skin and subcutis: correlations with the severity of breast cancer-related lymphedema.

Assessing the severity of breast cancer-related lymphedema (BCRL) requires various clinical tools, yet no standardized methodology is available. Ultrasonography shows promise for diagnosing lymphedema and evaluating its severity. This study explored the clinical utility of ultrasonography in patients with BCRL. In this retrospective cross-sectional study, patients with unilateral BCRL were examined. The analyzed data included demographics, lymphedema location, International Society of Lymphology (ISL) stage, surgical history, treatment regimens, and arm circumference. Skin, subcutis, and muscle thicknesses were assessed ultrasonographically at predetermined sites, and the percentage of excess thickness was calculated. Multivariate logistic regression analysis was employed to identify associations between ultrasonographic measurements and advanced lymphedema (ISL 2 or 3). The Lymphedema Quality of Life arm questionnaire was used to evaluate patient-reported outcomes regarding lymphedema and their correlations with ultrasonographic findings. Among 118 patients, 71 were classified as ISL 0-1 and 47 as ISL 2-3. Patients with advanced lymphedema were older, had higher nodal stages, underwent more axillary lymph node dissections, and had higher rates of dominant-arm lymphedema. Multivariate logistic regression revealed significant associations of greater skin thickness (adjusted odds ratio [OR], 4.634; 95% confidence interval [CI], 1.233 to 17.419), subcutis thickness (adjusted OR, 7.741; 95% CI, 1.649 to 36.347), and subcutis echogenicity (adjusted OR, 4.860; 95% CI, 1.517 to 15.566) with advanced lymphedema. Furthermore, greater skin thickness (P=0.016) and subcutis echogenicity (P=0.023) were correlated with appearance-related discomfort. Ultrasonographic measurements were significantly associated with advanced lymphedema in BCRL. Ultrasonography represents a valuable diagnostic and severity assessment tool for lymphedema.

574 The Incidence of ‘Negative’ Axillary Node Clearance Following Neoadjuvant Therapy, Its Potential Clinical Significance, and Recommendations: One Breast Unit Review of Practice

574 The Incidence of ‘Negative’ Axillary Node Clearance Following Neoadjuvant Therapy, Its Potential Clinical Significance, and Recommendations: One Breast Unit Review of Practice

CURRENT DRUG THERAPY OPTIONS FOR DISSEMINATED HER2-POSITIVE BREAST CANCER AT THE KAZAKH SCIENTIFIC RESEARCH INSTITUTE OF ONCOLOGY AND RADIOLOGY: A CLINICAL CASE

Relevance: Distant outcomes of treatment for Her2neu-positive metastatic breast cancer are improving due to access to innovative drug therapies. The study aimed to demonstrate the initial experience of treating a patient with progressive disseminated hormone receptor-positive breast cancer expressing HER2 (3+) and nearly exhausted options for anti-tumor drug therapy using trastuzumab deruxtecan. Methods: The paper describes a clinical case of a female patient born in 1977 who was diagnosed with Stage IV breast cancer (T1N1M1), invasive ductal carcinoma, and treated at the Kazakh Institute of Oncology and Radiology (Almaty, Kazakhstan). Immunohistochemical luminal subtype “B” with Her2neu (3+) expression. Metastatic involvement of skeletal bones with pain syndrome, lungs, liver, axillary, parasternal, and para-mediastinal lymph nodes. Since June 2023, monoclonal antibody conjugate trastuzumab deruxtecan therapy was initiated. The efficacy of fifth-line therapy was assessed using RECIST 1.1 before and during treatment. According to RECIST 1.1., target lesions included a conglomerate of hyperplastic axillary lymph nodes on the right, measuring 1.6 cm, parasternal lymph node 1.6 cm, a lesion in the parenchyma of the lower lobe of the left lung 1.3 cm, lesions (n=2) in the parenchyma of segment 2 of the left liver lobe 1.8 cm and 3.6 cm. Non-target lesion: hyperplastic para-mediastinal lymph nodes SLD 9.9 cm. Results: Pain syndrome was completely relieved after treatment. According to RECIST 1.1. in April 2024, after 11 courses of therapy, target lesions showed size reduction: conglomerate of hyperplastic axillary lymph nodes on the right decreased to 1.0 cm, lesion in the parenchyma of the lower lobe of the left lung increased to 2.7 cm, parasternal lymph node was not visualized, lesions (n=2) in the parenchyma of segment 2 of the left liver lobe measured 1.6 cm and 2.7 cm. Non-target lesion: hyperplastic para-mediastinal lymph nodes were not visualized. Conclusion: According to the clinical study data (DESTINY-Breast02), applying antibody-drug conjugate (ADC) demonstrates better objective response and progression-free survival time in patients previously treated with trastuzumab and taxanes.

Rectal metastasis arising from breast cancer: a case report.

Breast cancer is the most common cancer among women worldwide. Breast cancer often metastasizes to the regional lymph nodes, bone, brain, liver, and lungs, whereas gastrointestinal tract metastases are rare. Herein, we present a rare case of rectal metastasis from breast cancer that occurred during palliative chemotherapy. A 69-year-old female with a history of invasive ductal carcinoma, negative for hormonal receptors and positive for human epidermal growth factor receptor 2 (HER2) receptor, underwent various treatments, including neoadjuvant chemotherapy, breast-conserving surgery, and adjuvant therapy. Eight months postoperatively, the patient experienced axillary lymph node recurrence, requiring palliative chemotherapy. Despite ongoing treatment, metastatic lesions were confirmed in the lungs and pleura. During palliative chemotherapy, the patient developed anal pain, and subsequent examination revealed an infiltrating rectal lesion. Despite histological confirmation of metastatic breast carcinoma and tubular adenoma, a multidisciplinary decision was made regarding palliative chemotherapy over surgical intervention. Eribulin was administered, but due to the patient's inability to tolerate the treatment, she passed away 3 months after rectal lesion diagnosis. Although breast cancer metastasis to the rectum is rare, clinicians should consider the possibility of rectal involvement and perform a digital rectal examination if anal symptoms are present.

Establishment of a logistic regression model nomogram for clinicopathological characteristics and risk factors with axillary lymph node metastasis in T1 locally advanced breast cancer: a retrospective study.

Although the research reports on locally advanced breast cancer (LABC) are increasing year by year, there are few reports on T1 LABC axillary lymph node metastasis (ALNM). By establishing a prediction model for T1 LABC ALNM, this study provides a reference value for the probability of ALNM of related patients, which helps clinicians to develop a more effective and individualized treatment plan for LABC. Cases with pathologically confirmed T1 breast cancer (BC) between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were identified. Logistic regression was used to analyze the correlation between LABC lymph node metastasis and every factor, and the odds ratio (OR) and 95% confidence interval (CI) were used to identify any influencing factors. A nomogram was drawn after incorporating meaningful factors identified in multivariate logistic regression into the model. The receiver operating characteristic (ROC) curve of the model was drawn, and the area under the curve (AUC) and its 95% CI were calculated. Hosmer-Lemeshow goodness-of-fit test and clinical decision curve analysis (DCA) were performed. The results were validated in the validation group. A total of 200,933 female T1 BC patients were included in this study. Univariate and multivariate logistic regression analysis of T1 BC showed that progesterone receptor (PR)-negative, race, age, lobular carcinoma, micropapillary ductal carcinoma, axillary tail tumor, poor differentiation, and larger tumor diameter increased the probability of ALNM in T1 LABC. A predictive nomogram was established using the above predictors, the AUC of the modeling group was 0.739 (95% CI: 0.732-0.747), and when the AUC cut-off value was 0.026, the specificity and sensitivity of the model were 65.78% and 69.99%, respectively. Validation of the model showed that the AUC of the validation group (n=60,280) was 0.741. When all the risk factors were met, the predicted probability of N2-N3 was 50.40%. In this study, it was found that PR-negative, Black race, age, lobular carcinoma, micropapillary ductal carcinoma, axillary tail tumor, poor differentiation, and tumor diameter increased the probability of large lymph node metastasis in T1 LABC small tumors.

Associations between body mass index and hormonal receptor, HER2/neu receptor, as well as other clinical characteristics of breast cancer

Background. Obesity is a growing problem in the world. Correlations have been found between increasing body mass index (BMI) and breast cancer (BC). BC has multiple predictive and prognostic factors like hormonal receptors, human epidermal growth factor 2 receptor, stage of the disease and grade. Obesity may be differentially related to the risk of different subtypes given the various potential mechanisms underlying its association with breast cancer. The study aims to analyze the association between BMI, BC histopathologic, ER, PR and HER2/neu receptors expression, tumor size axillary nodes involvement, metastasis and nuclear grade. Methods. A cross sectional study was conducted involving 256 cases with breast cancer. Oncology teaching hospital based BC cases had been interviewed and data collected regarding weight and height, estrogen and progesterone receptors status, human epidermal growth factor 2 receptor, stage of the disease, grade of tumor at time of diagnosis, and categorize the cases to pre and postmenopausal state and then subdivided according to body mass index (normal, overweight, obese) and compared between three groups. Results. Overweight/obese people showed a significant statistical effect with estrogen and progesterone receptors, positive p value = 0.026, 0.007 respectively, larger tumor size, p value =0.035, and more lymph node involvement, p-value=0.031 in post-menopausal women, while premenopausal cases did not show significant statistical effect regarding the above-mentioned variables. Body mass index difference did not show a significant statistical effect on human epidermal growth factor 2 receptor, metastasis at diagnosis, tumor grade in both pre and postmenopausal cases. Conclusion. Body mass index difference affects postmenopausal BC cases rather than premenopausal as overweight/obese cases presented with more estrogen and progesterone receptors positive, larger tumor size and more lymph node involvement.

Evaluating Danish Breast Cancer Group locoregional radiotherapy guideline adherence in clinical treatment data 2008–2016: The DBCG RT Nation study

Background and purposeGuideline adherence in radiotherapy is crucial for maintaining treatment quality and consistency, particularly in non-trial patient settings where most treatments occur. The study aimed to assess the impact of guideline changes on treatment planning practices and compare manual registry data accuracy with treatment planning data. Materials and methodsThis study utilised the DBCG RT Nation cohort, a collection of breast cancer radiotherapy data in Denmark, to evaluate adherence to guidelines from 2008 to 2016. The cohort included 7448 high-risk breast cancer patients. National guideline changes included, fractionation, introduction of respiratory gating, irradiation of the internal mammary lymph nodes, use of the simultaneous integrated boost technique and inclusion of the Left Anterior Descending coronary artery in delineation practice. Methods for structure name mapping, laterality detection, detection of temporal changes in population mean lung volume, and dose evaluation were presented and applied. Manually registered treatment characteristic data was obtained from the Danish Breast Cancer Database for comparison. ResultsThe study found immediate and consistent adherence to guideline changes across Danish radiotherapy centres. Treatment practices before guideline implementation were documented and showed a variation among centres. Discrepancies between manual registry data and actual treatment planning data were as high as 10% for some measures. ConclusionNational guideline changes could be detected in the routine treatment data, with a high degree of compliance and short implementation time. Data extracted from treatment planning data files provides a more accurate and detailed characterisation of treatments and guideline adherence than medical register data.

Alteration of the immune microenvironment in the axillary metastatic lymph nodes of luminal A breast cancer patients

BackgroundThe alteration of the immune microenvironment in the axillary metastatic lymph nodes of luminal A breast cancer patients is still unclear.MethodsPostsurgical tissues from the enrolled luminal A BCs were divided into five categories: primary BC lesion at stage N0 (PL1), primary BC lesion at stage N1 (PL2), negative axillary lymph node at stage N0 BC (LN1), negative axillary lymph node at stage N1 BC (LN2), and positive axillary lymph node at stage N1 BC (LN3). The frequencies of positive immune markers (CD4, CD8, PD1, PD-L1, T-cell immunoglobulin and mucin domain 3 (TIM3), and forkhead box protein 3 (Foxp3)) in the above tissues were quantified by AKOYA Opal Polaris 7 Color Manual IHC Detection Kit.ResultsA total of 50 female patients with luminal A BC were enrolled in this study. Among these patients, 23 had stage N1 disease, and 27 had stage N0 disease. Compared with that in the PL2 subgroup, the frequency of PD-1-positive cells was significantly greater in the PL1 subgroup, whether at the stromal or intratumoral level (P value < 0.05). Both the frequency of CD8 + T cells in LN1 and that in LN2 were significantly greater than that in LN3 (P value < 0.05). The frequency of TIM3 + T cells in LN1 was significantly greater than that in PL1 (P value < 0.05). The frequency of CD8 + TIM3 + T cells was significantly greater in both the LN2 and LN3 groups than in the PL2 group (P value < 0.05). The frequency of CD4 + Foxp3 + T cells was significantly greater in LN1 than in PL1 (P value < 0.05), which was the same for both LN3 and PL2 (P value < 0.05).ConclusionIncreased frequencies of CD8 + PD1+, CD8 + TIM3 + and CD4 + Foxp3 + T cells might inhibit the immune microenvironment of axillary metastatic lymph nodes in luminal A breast cancer patients and subsequently promote lymph node metastasis.

Baseline [18F]FDG PET/CT and MRI first-order breast tumor features do not improve pathological complete response prediction to neoadjuvant chemotherapy

PurposeTo verify the ability of pretreatment [18F]FDG PET/CT and T1-weighed dynamic contrast-enhanced MRI to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients.MethodsThis retrospective study includes patients with BC of no special type submitted to baseline [18F]FDG PET/CT, NAC and surgery. [18F]FDG PET-based features reflecting intensity and heterogeneity of tracer uptake were extracted from the primary BC and suspicious axillary lymph nodes (ALN), for comparative analysis related to NAC response (pCR vs. non-pCR). Multivariate logistic regression was performed for response prediction combining the breast tumor-extracted PET-based features and clinicopathological features. A subanalysis was performed in a patients’ subsample by adding breast tumor-extracted first-order MRI-based features to the multivariate logistic regression.ResultsA total of 170 tumors from 168 patients were included. pCR was observed in 60/170 tumors (20/107 luminal B-like, 25/45 triple-negative and 15/18 HER2-enriched surrogate molecular subtypes). Higher intensity and higher heterogeneity of [18F]FDG uptake in the primary BC were associated with NAC response in HER2-negative tumors (immunohistochemistry score 0, 1 + or 2 + non-amplified by in situ hybridization). Also, higher intensity of tracer uptake was observed in ALN in the pCR group among HER2-negative tumors. No [18F]FDG PET-based features were associated with pCR in the other subgroup analyses. A subsample of 103 tumors was also submitted to extraction of MRI-based features. When combined with clinicopathological features, neither [18F]FDG PET nor MRI-based features had additional value for pCR prediction. The only significant predictors were estrogen receptor status, HER2 expression and grade.ConclusionPretreatment [18F]FDG PET-based features from primary BC and ALN are not associated with response to NAC, except in HER2-negative tumors. As compared with pathological features, no breast tumor-extracted PET or MRI-based feature improved response prediction.

An original technique for the treatment of Axillary Web Syndrome: the Onorato-Ausbergher method

Axillary Web Syndrome (AWS) is a common complication in patients who have undergone an axillary lymph node biopsy or dissection for breast cancer. This work aims to explore in a preliminary way the effectiveness of a therapeutic approach with Neuromuscular Taping (NMT) for the aforementioned condition. Specifically, five patients have been treated and have undergone specific evaluation of typical AWS signs and symptoms, with a particular focus on the impact on Quality of Life (QoL) and Activities of Daily Life (ADLs). The final aim is to evaluate the efficacy of an innovative approach to AWS, allowing easy application, good tolerability, and few collateral effects.

A non-invasive artificial intelligence model for identifying axillary pathological complete response to neoadjuvant chemotherapy in breast cancer: a secondary analysis to multicenter clinical trial.

This study aims to develop a stacking model for accurately predicting axillary lymph node (ALN) response to neoadjuvant chemotherapy (NAC) using longitudinal MRI in breast cancer. We included patients with node-positive breast cancer who received NAC following surgery from January 2012 to June 2022. We collected MRIs before and after NAC, and extracted radiomics features from the tumour, peritumour, and ALN regions. The Mann-Whitney U test, least absolute shrinkage and selection operator, and Boruta algorithm were used to select features. We utilised machine learning techniques to develop three single-modality models and a stacking model for predicting ALN response to NAC. This study consisted of a training cohort (n = 277), three external validation cohorts (n = 313, 164, and 318), and a prospective cohort (n = 81). Among the 1153 patients, 60.62% achieved ypN0. The stacking model achieved excellent AUCs of 0.926, 0.874, and 0.862 in the training, external validation, and prospective cohort, respectively. It also showed lower false-negative rates (FNRs) compared to radiologists, with rates of 14.40%, 20.85%, and 18.18% (radiologists: 40.80%, 50.49%, and 63.64%) in three cohorts. Additionally, there was a significant difference in disease-free survival between high-risk and low-risk groups (p < 0.05). The stacking model can accurately predict ALN status after NAC in breast cancer, showing a lower false-negative rate than radiologists. The clinical trial numbers were NCT03154749 and NCT04858529.

The Relations Between High Body Mass Index and Breast Cancer Characteristics

Background: In the context of rising obesity rates globally, understanding the effect of high body mass index (BMI) on breast cancer characteristics is crucial. Previous research has hinted at associations between obesity and some specific features, such as tumor receptor status and axillary lymph node involvement. However, a comprehensive investigation into these relationships is essential for informing targeted interventions and advancing our understanding of breast cancer in the context of obesity. Objective: To investigate the relationship between high BMI and some key tumor characteristics such as hormone receptor status, HER2 receptor status, tumor grade, tumor size and axillary lymph node status. Patients and Methods: A retrospective analysis of the medical records of 186 female breast cancer patients treated at Rizgary Teaching Hospital's Oncology Department in Erbil City during the year 2021. Results: The study revealed a statistically significant association between elevated BMI and certain pivotal breast tumor characteristics, particularly HER2 receptor status. Additionally, obese individuals exhibited a significantly greater probability of having axillary lymph node-positive disease compared to their non-obese counterparts. Conclusion: This study establishes a noteworthy association between high BMI and some critical breast cancer characteristics, which may underscore the clinical relevance of body mass index in shaping breast cancer profiles.

Predictive efficacy of the preoperative neutrophil–lymphocyte ratio in lymph node metastasis of cN0 hormone receptor-positive breast cancer

Breast cancer, as the most common cancer, has surpassed lung cancer worldwide. The neutrophil-to-lymphocyte ratio (NLR) has been linked to the onset of cancer and its prognosis in recent studies. However, quite a few studies have shown that there is a link between NLR and lymph node metastases in cN0 hormone receptor-positive (HR(+)) breast cancer. The purpose of this study was to evaluate the correlation between NLR and lymph node metastases in cN0 HR(+) breast cancer patients. From January 2012 to January 2022, 220 patients with cN0 HR(+) invasive breast cancers were enrolled in this study. The relationship between NLR and pathological data was statistically examined. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff of NLR, a chi-squared test was used for the univariate analysis, and logistic analysis was used for the multivariate analysis. The NLR had an optimal cutoff of 2.4 when the Jorden index was at a maximum. Patients with axillary lymph node metastases had a higher NLR (P < 0.05). A Univariate analysis showed that there were significant differences in cN0 HR(+) breast cancer with axillary lymph node metastasis among different clinical stages, histological grades, Ki-67 levels, tumor sizes, and NLR levels (P < 0.05). Clinical stage, tumor size, and NLR were found to be independent risk factors for lymph node metastases in multifactorial analysis. In cN0 HR(+) breast cancer, NLR is an independent risk factor for lymph node metastases. An NLR ≥ 2.4 indicates an increased probability of lymph node metastases. An elevated preoperative NLR has a high predictive value for axillary lymph node metastases.