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Patuleia SIS, Suijkerbuijk KPM, van der Wall E, van Diest PJ, Moelans CB. Nipple Aspirate Fluid at a Glance. Cancers (Basel) 2021; 14:cancers14010159. [PMID: 35008326 PMCID: PMC8750428 DOI: 10.3390/cancers14010159] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/20/2021] [Accepted: 12/26/2021] [Indexed: 11/21/2022] Open
Abstract
Simple Summary Nipple aspirate fluid (NAF) is a promising source of markers for detection of breast cancer. NAF can be acquired via the nipple by aspiration using a suction device, which is well tolerated by women. Future possible applications of biomarkers for breast cancer derived from NAF could be (1) as a detection tool to identify the initiation of the cancer development process, (2) as an additional tool next to imaging (mammography and breast magnetic resonance imaging) or (3) as a replacement tool for when imaging is not advisable for women, such as during pregnancy and breastfeeding. With this paper, we present a narrative review and perspectives of NAF research at a glance. Abstract Nipple aspirate fluid (NAF) is an intraductal mammary fluid that, because of its close proximity to and origin from the tissue from which breast cancer originates, is a promising source of biomarkers for early breast cancer detection. NAF can be non-invasively acquired via the nipple by aspiration using a suction device; using oxytocin nasal spray helps increase yield and tolerability. The aspiration procedure is generally experienced as more tolerable than the currently used breast imaging techniques mammography and breast magnetic resonance imaging. Future applications of NAF-derived biomarkers include their use as a tool in the detection of breast carcinogenesis at its earliest stage (before a tumor mass can be seen by imaging), or as a supporting diagnostic tool for imaging, such as when imaging is less reliable (to rule out false positives from imaging) or when imaging is not advisable (such as during pregnancy and breastfeeding). Ongoing clinical studies using NAF samples will likely shed light on NAF’s content and clinical potential. Here, we present a narrative review and perspectives of NAF research at a glance.
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Affiliation(s)
- Susana I. S. Patuleia
- Department of Pathology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (S.I.S.P.); (P.J.v.D.)
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.P.M.S.); (E.v.d.W.)
| | - Karijn P. M. Suijkerbuijk
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.P.M.S.); (E.v.d.W.)
| | - Elsken van der Wall
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (K.P.M.S.); (E.v.d.W.)
| | - Paul J. van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (S.I.S.P.); (P.J.v.D.)
| | - Cathy B. Moelans
- Department of Pathology, University Medical Center Utrecht, Utrecht University, 3508 GA Utrecht, The Netherlands; (S.I.S.P.); (P.J.v.D.)
- Correspondence:
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Masood S. The changing role of pathologists from morphologists to molecular pathologists in the era of precision medicine. Breast J 2019; 26:27-34. [PMID: 31876097 DOI: 10.1111/tbj.13728] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 12/04/2019] [Indexed: 11/27/2022]
Abstract
Pathology is the study of human illness. Throughout centuries of scientific discoveries, pathologic examination of tissue samples has been the gold standard for diagnosis and pathologists have been involved in the elucidation of aetiology, assessment of the biology, clinicopathologic correlation and prediction of prognosis. The advances in science and technology and focused interest in breast cancer research have provided ample opportunities for pathologists to participate in better understanding of the basic fundamental cascade of events leading to tumorigenesis in breast cancer. They also partnered with their clinical colleagues and scientists to find more effective therapeutic options. This change has been possible with recognition of the fact that morphology alone may not be sufficient to tell the entire story of clinical behaviour of all breast cancer patients. In addition, the realization of heterogeneity of breast cancer and the differences in the expression of various biomarkers and the observed differences in response to therapy have resulted in extensive efforts to better define the characters of each breast cancer subtype. It is now generally agreed that breast cancer is not a single disease and not all patients with breast cancer can benefit from the same therapy. These changes have brought new challenges for pathologists. Pathologist are now required to not only provide diagnosis, but also study the precise molecular characterization of each individual breast cancer case and play a significant role in the treatment planning of breast cancer patients. This remarkable change in the role of the pathologist require his/her involvement in the modern taxonomy of this disease and to rise to the challenge of genomic medicine and molecular diagnostics, which are the fastest growing areas of medicine. Emphasis should also been placed to create a new morphomolecular pathology and train our young pathologist to expand beyond morphology and to embrace the power of molecular diagnostics, in order to be able to effectively practise in the era of precision medicine.
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Affiliation(s)
- Shahla Masood
- Department of Pathology, University of Florida College of Medicine, Jax, Florida
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Do Canto LM, Marian C, Varghese RS, Ahn J, Da Cunha PA, Willey S, Sidawy M, Rone JD, Cheema AK, Luta G, Nezami ranjbar MR, Ressom HW, Haddad BR. Metabolomic profiling of breast tumors using ductal fluid. Int J Oncol 2016; 49:2245-2254. [PMID: 27748798 PMCID: PMC5117995 DOI: 10.3892/ijo.2016.3732] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 09/26/2016] [Indexed: 12/12/2022] Open
Abstract
Identification of new biomarkers for breast cancer remains critical in order to enhance early detection of the disease and improve its prognosis. Towards this end, we performed an untargeted metabolomic analysis of breast ductal fluid using an ultra-performance liquid chromatography coupled with a quadrupole time-of-light (UPLC-QTOF) mass spectrometer. We investigated the metabolomic profiles of breast tumors using ductal fluid samples collected by ductal lavage (DL). We studied fluid from both the affected breasts and the unaffected contralateral breasts (as controls) from 43 women with confirmed unilateral breast cancer. Using this approach, we identified 1560 ions in the positive mode and 538 ions in the negative mode after preprocessing of the UPLC‑QTOF data. Paired t-tests applied on these data matrices identified 209 ions (positive and negative modes combined) with significant change in intensity level between affected and unaffected control breasts (adjusted p-values <0.05). Among these, 83 ions (39.7%) showed a fold change (FC) >1.2 and 66 ions (31.6%) were identified with putative compound names. The metabolites that we identified included endogenous metabolites such as amino acid derivatives (N-Acetyl-DL-tryptophan) or products of lipid metabolism such as N-linoleoyl taurine, trans-2-dodecenoylcarnitine, lysophosphatidylcholine LysoPC(18:2(9Z,12Z)), glycerophospholipids PG(18:0/0:0), and phosphatidylserine PS(20:4(5Z,8Z,11Z,14Z). Generalized LASSO regression further selected 21 metabolites when race, menopausal status, smoking, grade and TNM stage were adjusted for. A predictive conditional logistic regression model, using the LASSO selected 21 ions, provided diagnostic accuracy with the area under the curve of 0.956 (sensitivity/specificity of 0.907/0.884). This is the first study that shows the feasibility of conducting a comprehensive metabolomic profiling of breast tumors using breast ductal fluid to detect changes in the cellular microenvironment of the tumors and shows the potential for this approach to be used to improve detection of breast cancer.
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MESH Headings
- Biomarkers, Tumor/metabolism
- Breast Neoplasms/diagnosis
- Breast Neoplasms/pathology
- Carcinoma, Intraductal, Noninfiltrating/diagnosis
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Chromatography, Liquid
- Female
- Humans
- Mammary Glands, Human/physiology
- Mass Spectrometry
- Metabolome/physiology
- Metabolomics/methods
- Middle Aged
- Receptor, ErbB-2/metabolism
- Receptors, Estrogen/metabolism
- Receptors, Progesterone/metabolism
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Affiliation(s)
- Luisa Matos Do Canto
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Catalin Marian
- Biochemistry Department, ‘Victor Babes’ University of Medicine and Pharmacy, Timisoara, Romania
- Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Rency S. Varghese
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Jaeil Ahn
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Georgetown University, Washington DC, 20007, USA
| | - Patricia A. Da Cunha
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Shawna Willey
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
- Department of Surgery, MedStar Georgetown University Hospital, Georgetown University, Washington DC, 20007, USA
| | - Mary Sidawy
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
- Department of Pathology, MedStar Georgetown University Hospital, Georgetown University, Washington DC, 20007, USA
| | - Janice D. Rone
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Amrita K. Cheema
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Georgetown University, Washington DC, 20007, USA
| | - George Luta
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Georgetown University, Washington DC, 20007, USA
| | - Mohammad R. Nezami ranjbar
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Habtom W. Ressom
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
| | - Bassem R. Haddad
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington DC, USA
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Do Canto LM, Marian C, Willey S, Sidawy M, Da Cunha PA, Rone JD, Li X, Gusev Y, Haddad BR. MicroRNA analysis of breast ductal fluid in breast cancer patients. Int J Oncol 2016; 48:2071-8. [PMID: 26984519 PMCID: PMC4809650 DOI: 10.3892/ijo.2016.3435] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 02/20/2016] [Indexed: 12/23/2022] Open
Abstract
Recent studies suggest that microRNAs show promise as excellent biomarkers for breast cancer; however there is still a high degree of variability between studies making the findings difficult to interpret. In addition to blood, ductal lavage (DL) and nipple aspirate fluids represent an excellent opportunity for biomarker detection because they can be obtained in a less invasive manner than biopsies and circumvent the limitations of evaluating blood biomarkers with regards to tissue of origin specificity. In this study, we have investigated for the first time, through a real-time PCR array, the expression of 742 miRNAs in the ductal lavage fluid collected from 22 women with unilateral breast tumors. We identified 17 differentially expressed miRNAs between tumor and paired normal samples from patients with ductal breast carcinoma. Most of these miRNAs have various roles in breast cancer tumorigenesis, invasion and metastasis, therapeutic response, or are associated with several clinical and pathological characteristics of breast tumors. Moreover, some miRNAs were also detected in other biological fluids of breast cancer patients such as serum (miR-23b, -133b, -181a, 338-3p, -625), plasma (miR-200a), and breast milk (miR-181a). A systems biology analysis of these differentially expressed miRNAs points out possible pathways and cellular processes previously described as having an important role in breast cancer such as Wnt, ErbB, MAPK, TGF-β, mTOR, PI3K-Akt, p53 signaling pathways. We also observed a difference in the miRNA expression with respect to the histological type of the tumors. In conclusion, our findings suggest that miRNA analysis of breast ductal fluid is feasible and potentially very useful for the detection of breast cancer.
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Affiliation(s)
- Luisa Matos Do Canto
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Catalin Marian
- Biochemistry Department, 'Victor Babes' University of Medicine and Pharmacy, Timisoara, Romania
| | - Shawna Willey
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Mary Sidawy
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Patricia A Da Cunha
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Janice D Rone
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Xin Li
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Yuriy Gusev
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
| | - Bassem R Haddad
- Lombardi Comprehensive Cancer Center and Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA
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