Long-Term Follow-up Study of a Prospective Multicenter Sentinel Node Trial: Molecular Detection of Breast Cancer Sentinel Node Metastases

Verbanac, Kathryn M.; Min, C. Justus; Mannie, A. E.; Lu, Jian-Liang; O’Brien, Kevin F.; Rosman, Martin; Tafra, Lorraine

doi:10.1245/s10434-010-1262-2

Cited by 18 publications

(5 citation statements)

References 16 publications

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“…Data were obtained from two prospective multicenter studies. The first dataset was obtained from the AAMC/East Carolina University (AAMC/ECU) Sentinel Lymph Node Project that included patient data from 16 medical centers from 1996 to 2005 . Patients enrolled had clinically node‐negative breast cancer and underwent tumor resection and sentinel lymph node biopsy (SLNB).…”

Section: Methodsmentioning

confidence: 99%

A Prediction Model for the Presence of Axillary Lymph Node Involvement in Women with Invasive Breast Cancer: A Focus on Older Women

et al. 2014

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Axillary lymph node (ALN) status at diagnosis is the most powerful prognostic indicator for patients with breast cancer. Our aim is to examine the contribution of variables that lead to ALN metastases in a large dataset with a high proportion of patients greater than 70 years old. Using the data from two multicenter prospective studies, a retrospective review was performed on 2,812 patients diagnosed with clinically node-negative invasive breast cancer from 1996 to 2005 and who underwent ALN sampling. Univariate and multivariate logistic regression were used to identify variables that were strongly associated with axillary metastases, and an equation was developed to estimate risk of ALN metastases. Of the 2,812 patients with invasive breast cancer, 18% had ALN metastases at diagnosis. Based on univariate analysis, tumor size, lymphovascular invasion (LVI), tumor grade, age at diagnosis, menopausal status, race, tumor location, tumor type, and estrogen and progesterone receptor status were statistically significant. The relationship between age and involvement of axillary metastases was nonlinear. In multivariate analysis, LVI, tumor size and menopausal status were the most significant factors associated with ALN metastases. Age, however, was not a significant contributing factor for axillary metastases. Tumor size, LVI, and menopausal status are strongly associated with ALN metastases. We believe that age may have been a strong factor in previous analyses because there was not an adequate representation of women in older age groups and because of the violation of the assumption of linearity in their multivariate analyses.

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Section: Methodsmentioning

confidence: 99%

A Prediction Model for the Presence of Axillary Lymph Node Involvement in Women with Invasive Breast Cancer: A Focus on Older Women

et al. 2014

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“…Lymph node tissue samples were obtained by routine diagnostic mediastinoscopy of patients with sarcoidosis and from noncancer surgical patients undergoing elective carotid endarterectomy. Control lymph nodes were remnant tissue normally discarded, and unlinked to patient identity, as previously described (20).…”

Section: Human Study Samplesmentioning

confidence: 99%

Elevated MicroRNA-33 in Sarcoidosis and a Carbon Nanotube Model of Chronic Granulomatous Disease

Barna

McPeek

Malur

et al. 2016

Am J Respir Cell Mol Biol

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We established a murine model of multiwall carbon nanotube (MWCNT)-induced chronic granulomatous disease, which resembles human sarcoidosis pathology. At 60 days after oropharyngeal MWCNT instillation, bronchoalveolar lavage (BAL) cells from wild-type mice exhibit an M1 phenotype with elevated proinflammatory cytokines and reduced peroxisome proliferator-activated receptor γ (PPARγ)-characteristics also present in human sarcoidosis. Based upon MWCNT-associated PPARγ deficiency, we hypothesized that the PPARγ target gene, ATP-binding cassette (ABC) G1, a lipid transporter with antiinflammatory properties, might also be repressed. Results after MWCNT instillation indicated significantly repressed ABCG1, but, surprisingly, lipid transporter ABCA1 was also repressed, suggesting a possible second pathway. Exploration of potential regulators revealed that microRNA (miR)-33, a lipid transporter regulator, was strikingly elevated (13.9 fold) in BAL cells from MWCNT-instilled mice but not sham control mice. Elevated miR-33 was also detected in murine granulomatous lung tissue. In vitro studies confirmed that lentivirus-miR-33 overexpression repressed both ABCA1 and ABCG1 (but not PPARγ) in cultured murine alveolar macrophages. BAL cells of patients with sarcoidosis also displayed elevated miR-33 together with reduced ABCA1 and ABCG1 messenger RNA and protein compared with healthy control subjects. Moreover, miR-33 was elevated within sarcoidosis granulomatous tissue. The findings suggest that alveolar macrophage miR-33 is up-regulated by proinflammatory cytokines and may perpetuate chronic inflammatory granulomatous disease by repressing antiinflammatory functions of ABCA1 and ABCG1 lipid transporters. The results also suggest two possible pathways for transporter dysregulation in granulomatous disease-one associated with intrinsic PPARγ status and the other with miR-33 up-regulation triggered by environmental challenges, such as MWCNT.

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“…In relation to the selection of primers, Mitas et al ( 13 ) showed that mammaglobin, breast tissue specificity genes prolactin-inducible protein (PIP), CK19, mammaglobin B, mucin MUC1, and carcinoembryonic antigen (CEA) can be used to detect metastasis in the SLNs of breast cancer patients. Verbanac et al ( 14 ) demonstrated that mammaglobin has a high specificity (99%) and sensitivity (97%) in breast primary tumors. Manzotti et al ( 15 ) detected SLN metastasis in breast cancer patients by detecting the expression of CK19, mammaglobin, CEA, and MUC1 in the SLNs of breast cancer patients.…”

Section: Discussionmentioning

confidence: 99%

A clinical diagnostic test on the detection of sentinel lymph node metastasis in breast neoplasms using a 1-step RT-PCR

et al. 2022

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Background: Currently, assessment of sentinel lymph node (SLN) requires cytology, hematoxylin-eosin (HE), and immunohistochemistry (IHC). However, routine pathological slides still suffer from certain sampling errors and have time limitations. This study sought to investigate the sensitivity and specificity of SLN detection by reverse transcription-polymerase chain reaction (RT-PCR), which quantifies the expression of mammaglobin and cytokeratin-19 genes to determine SLN status. Methods: The RT-PCR detection of cycles threshold (CT) values has a direct relationship with the lymph node metastasis. This study prospectively collected 256 sentinel lymph nodes from 150 patients diagnosed with breast cancer between August and November 2017. In the detection of metastases in lymph nodes, molecular markers can be verified at the cell-level and tissue-level of tumor cells. In this study, IHC results were used as the gold standard for judging sentinel lymph node status. Results: (I) According to the established cell models, as the lymph nodes in tumor cells increase, RT-PCR CT values decrease. (II) 83 lymph nodes were first collected, and the interpretation criteria for the molecular detection results were determined based on the immunohistochemistry (IHC) results. (III) The statisticalanalysis showed that the sensitivity of the RT-PCR was 80.49% and the specificity was 91.55%. The positive predictive and negative predictive values were 64.71% and 96.06%, respectively. There was no significant difference between RT-PCR detection and IHC detection (P=0.076). Statistical chi-square analysis also showed that the difference between intraoperative freezing and immunohistochemistry was statistically significant (P=0.000). There was a statistically significant difference between intraoperative freezing and RT-PCR detection (P=0.000). RT-PCR detection is more sensitive than intraoperative frozen detection, and is closer to the results of immunohistochemistry.Conclusions: RT-PCR had objective and rapid output advantages, and was proven to be true and reliable.RT-PCR detection can not only rapidly assess sentinel lymph node status in breast cancer patients during surgery, but its accuracy is also close to that of IHC. Correctly determine whether to perform axillary lymph node dissection and improve the survival rate of patients.

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Long-Term Follow-up Study of a Prospective Multicenter Sentinel Node Trial: Molecular Detection of Breast Cancer Sentinel Node Metastases

Cited by 18 publications

References 16 publications

A Prediction Model for the Presence of Axillary Lymph Node Involvement in Women with Invasive Breast Cancer: A Focus on Older Women

A Prediction Model for the Presence of Axillary Lymph Node Involvement in Women with Invasive Breast Cancer: A Focus on Older Women

Elevated MicroRNA-33 in Sarcoidosis and a Carbon Nanotube Model of Chronic Granulomatous Disease

A clinical diagnostic test on the detection of sentinel lymph node metastasis in breast neoplasms using a 1-step RT-PCR

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