The Lymphatic System in Breast Cancer: Anatomical and Molecular Approaches

Early Warning of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Multi-Omics Signature: A Machine Learning-Based Retrospective Study

Background

Axillary lymph node (ALN) is the most common metastasis path for breast cancer, and ALN dissection directly affects the postoperative staging and prognosis of breast cancer patients. Therefore, additional research is needed to accurately predict ALN metastasis before surgery and construct predictive models to assist in surgical decision-making and optimize patient care.

Methods

We retrospectively analyzed the clinical data, radiomics, and pathomics of the patients diagnosed with breast cancer in the Breast Cancer Center of Hubei Cancer Hospital from January 2017 to December 2022. The study participants were randomly assigned to either the training queue (70%) or the validation queue (30%). Logistic regression (ie generalized linear regression model [GLRM]) and random forest model (RFM) were used to construct an ALN prediction model in the training queue, and the discriminant power of the model was evaluated using area under curve (AUC) and decision curve analysis (DCA). Meanwhile, the validation queue was used to evaluate the ALN prediction performance of the constructed model.

Results

Out of the 422 patients encompassed in the study, 18.7% were diagnosed with ALN by postoperative pathology. The logical model included shear wave elastography (SWE) related to maximum, minimum, centre, ratio 1, pathomics (Feature 1, Feature 3, and Feature 5) and a nomogram of the GLRM was drawn. The AUC of GLRM was 0.818 (95% CI: 0.757~0.879), significantly lower than that of RFM's AUC 0.893 (95% CI: 0.836~0.950).

Conclusion

The prediction models based on machine learning (ML) algorithms and multiomics have shown good performance in predicting ALN metastasis, and RFM shows greater advantages compared to traditional GLRM. The findings of this study can help clinicians identify patients with higher risk of ALN metastasis and provide personalized perioperative management to assist preoperative decision-making and improve patient prognosis.

Editorial for the Special Issue "Vasorum Lymphaticorum: From the Discovery of the Lymphatic System to the New Perspectives in Microsurgical Reconstruction and Patient Rehabilitation"

Lymphedema is a complex clinical condition that appears as a result of the failure of the lymphatic system function, and it is characterized by edema, fibrosis, and adipose deposition [...].

Long-term Experience on Breast Cancer-related Lymphedema in the Coastal Area of Fukushima, Japan After the 2011 Triple Disaster

BACKGROUND/AIM

Disasters can jeopardize breast cancer care and Japan's triple disaster in 2011 (earthquake, tsunami, and nuclear accident) is no exception. However, detailed information is lacking regarding the care of breast cancer related lymphedema (BCRL) following the disaster. We aimed to explore the process by which local patients become aware of BCRL, the problems faced, and the support they require. We also aimed to clarify the effects of the 2011 disaster on experiences related to lymphedema in the target population.

PATIENTS AND METHODS

Patients who developed BCRL after breast cancer treatment were recruited from Iwaki city, a municipality located in the southern coastal region of Fukushima (N=16). In-depth, semi-structured, face-to-face interviews were conducted, and the obtained data were appraised using thematic analysis.

RESULTS

Five themes related to BCRL were identified: 1) the process of becoming aware of BCRL, 2) troubles or worries/concerns due to BCRL, 3) information sources regarding BCRL management, 4) strategies to cope with BCRL, and 5) the adverse impacts of the 2011 disaster on BCRL management.

CONCLUSION

Except for the disaster context, the themes are in line with those of previous studies conducted in the non-disaster context. Nonetheless, there were limited but non-negligible adverse effects of the 2011 disaster on long-term local BCRL management. The findings of this study demonstrate the necessity for individualizing coping strategies against BCRL among healthcare professionals in the Fukushima coastal area and beyond.

Localization of Central Breast Lymphatics and Predefined Separation of Lobes along the Horizontal Septum

BACKGROUND

The predictable localization of the neurovascular supply along the ligamentous suspension, composed of the horizontal septum, vertical ligaments, and superficial fascia, has increased safety in breast reduction. Lymphatic drainage of the breast has always been described as running close to vascular supply. However, the correlation between the lymphatic course and ligamentous suspension has not yet been considered. This study aimed to visualize the relationship, direction of lymphatic flow, and predefined separation of lobes along the horizontal septum.

METHODS

To investigate central drainage, methylene blue was injected subareolarly in five breasts of female cadavers before blunt preparation of the horizontal septum in anatomical studies. To visualize central and peripheral drainage, lymphographin was injected into one of the three different sites in 14 breasts; the dynamic flow of drainage was observed during subsequent septum-based breast reductions in clinical settings.

RESULTS

In all anatomical studies, a predefined section of the glandular layers allowed access to central clearance along the stained horizontal septum. Clinical investigations similarly showed clearance along the corresponding part of the ligamentous suspension, most reliably along the horizontal septum. The affected quadrant of the breast, its relation to the nipple-areola complex, and the anterior-posterior axis toward the thoracic wall mainly determine the direction of lymphatic flow. Interconnections along the ligaments may explain the unpredictability of final clearance directions.

CONCLUSIONS

This study shows the horizontal septum as a guiding structure for central mammary drainage. This may encourage a septum-based approach for refinement of procedures such as oncoplastic, irradiation, and lymphedema treatments.

Lymph node metastases in breast cancer: Mechanisms and molecular imaging

Breast cancer is the most common malignant disease of women in the world. Breast cancer often metastasizes to axillary lymph nodes. Accurate assessment of the status of axillary lymph nodes is crucial to the staging and treatment of breast cancer. None of the methods used clinically for preoperative noninvasive examination of axillary lymph nodes can accurately identify cancer cells from a molecular level. In recent years, with the in-depth study of lymph node metastases, the mechanisms and molecular imaging of lymph node metastases in breast cancer have been reported. In this review, we highlight the new progress in the study of the main mechanisms of lymph node metastases in breast cancer. In addition, we analyze the advantages and disadvantages of traditional preoperative axillary lymph node imaging methods for breast cancer, and list molecular imaging methods that can accurately identify breast cancer cells in lymph nodes.

Axillary Surgical Attitude Changing with Retrospective Application of ACOSOG Z0011 Eligible Criteria: An Institutional Evaluation

Objective

Sentinel lymph node biopsy (SLNB) represents the gold standard for axillary surgical staging. The aim of this study was to assess the proportion of axillary lymph node dissection (ALND) that could be avoided after retrospective application of the ACOSOG Z0011 criteria and to evaluate the shortterm complications associated with axillary surgery.

Materials and Methods

We reviewed breast cancer (BC) patients treated by primary breast-conserving surgery from 2012 to 2015. The percentage of SLNB vs ALND performed before and after the application of the ACOSOG Z0011 criteria was calculated. Complications were analyzed using crosstabs, with p<0.05 considered significant.

Results

Two hundred fifty one patients with a median age of 59.3 years were included. BC tumors had a median size of 13 mm and were mostly unifocal (83.9%). There were 30.3% with 1-2 metastatic lymph nodes (MLN). ALND was performed in 44.2%. The patients with 1-2 MLN, had only SLNB in 14.5% of cases. By applying the ACOSOG Z0011 criteria, ALND would have been avoided in 40.2% of patients. At least one postoperative complication was reported after SLNB or ALND for 45.7% and 74.7% of patients respectively. Seroma was the most frequent complication, and occurred in 29.3% of cases after SLNB and in 59.5% after ALND.

Conclusion

SNLB is the most commonly used axillary surgical staging procedure in this series (55.8%). With a retrospective application of the ACOSOG Z0011 criteria in our population, ALND could have been avoided for 40.2% patients. Post-operative complications rate was higher after ALND, with a seroma rate at 59.5%.

Construction of model animals to explore intestinal microbiome for detection of breast cancer

Breast cancer ranks first among female cancers and has become a major public health problem in the current society. More studies indicated that these cancers are related to the change in the gut microbiome that can cause metabolic and immune system disorders in the body. However, there are few studies on the changes in gut microbiome caused by the onset of breast cancer, and the relationship between breast cancer and gut microbiome needs to be further clarified. In this study, we inoculated 4T1 breast cancer cells to induce breast cancer tumorigenesis in mice and collected their feces samples at different stages during this process. These intestinal florae were analyzed using 16S rRNA gene amplicon sequencing, and the results showed that at the phylum level, the ratio of Firmicutes/Bacteroidetes decreased with the development of the tumor; at the family level, the intestinal microbiome had obvious variations of Lachnospiraceae, Bacteroidaceae, Erysipelotrichaceae, etc. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and COG annotation demonstrated that decreased abundance of cancer-related signaling pathways. This study elucidated the relationship between breast cancer and intestinal microbiome, and the research results can be used as an important biomarker for the diagnosis of breast cancer.

Mast cell density in the primary tumor predicts lymph node metastases in patients with breast cancer

Breast cancer (BrCa) is the most frequent neoplastic disease in female, with high morbidity and mortality. Most of the researches were focused on tumor cells concerning their natural evolution, molecular profile, and potential response to therapy. Few and uncertain data are available about the tumor microenvironment and its impact on the progression of the disease. Mast cells (MCs) associated to BrCa have been reported many years ago, but their real and specific role in the biology of this disease remained elusive. In the current study, we have investigated the predictive role of MCs from the primary tumor on lymph node metastasis on patients stratified based on the molecular classification. We investigated 156 patients with BrCa, stratified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) type, basal-like, and unclassified. MCs were identified with anti-MC tryptase antibody in a double immunohistochemical reaction combined with anti-cluster of differentiation 34 (CD34) antibody. Mast cell density (MCD) was calculated based on the hot-spot method, on three fields with maximum density of MCs in each case. The final result was the arithmetic media that was compared with the molecular profile and lymph node metastases. We found no significant correlation between MCD and the molecular profile of the primary tumor, but we noticed a strong correlation between intratumor MCD and lymph node metastases, regardless of the molecular type.