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Harter D, O’Connor SM, Hertel JD, Calhoun BC. Pathological measurement and staging of residual breast cancer after neoadjuvant chemotherapy. Histopathology 2023; 83:453-464. [PMID: 37256703 PMCID: PMC10524558 DOI: 10.1111/his.14966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
AIMS The 8th Edition of the American Joint Committee on Cancer Staging System (yAJCC) excludes treatment-related fibrosis from the measurement of residual tumour after neoadjuvant chemotherapy (NAC) for breast cancer. The impact of the 8th Ed. yAJCC on post-NAC pathologic staging was examined in 188 breast cancer specimens from 183 patients with measurable residual tumour. METHODS Tumour size, ypT, and ypN categories were reassessed with the current yACC criteria and compared to the original pathology reports. Histological patterns of response in the breast were categorised as concentric or scattered. RESULTS The reassessed breast tumour size or ypT category differed from the original report in 101 (53.7%) cases. Changes in the ypT and/or ypN category resulted in downstaging of 45/185 (24.3%). A smaller reassessed tumour size or lower ypT category occurred more often in hormone receptor-positive/HER2-negative (HR+/HER2-) (68.3%) and HER2-positive (HER2+) tumours (74.0%) than triple-negative breast cancer (TNBC) (37.5%) (P < 0.001). A scattered pattern of response was more frequent in HR+/HER2- (54.9%) and HER2+ (66.0%) tumours than TNBC (35.7%) (P = 0.006). Changes in size, ypT, or multifocality based on the 8th Ed. yAJCC criteria were more frequent in tumours with a scattered pattern of response (P < 0.001). CONCLUSION Strict adherence to yAJCC criteria for measurement of the residual breast tumour after NAC resulted in smaller tumour size, lower ypT category, lower yAJCC stage, and more frequent classification of residual tumour as multifocal. Downstaging based on 8th Ed. yAJCC criteria was associated with tumour subtype and histological pattern of response.
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Affiliation(s)
- Dawn Harter
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Siobhan M. O’Connor
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Johann D. Hertel
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Benjamin C. Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Zhang M, Liao J, Jia Z, Qin C, Zhang L, Wang H, Liu Y, Jiang C, Han M, Li J, Wang K, Wang X, Bu H, Yao J, Liu Y. High Dynamic Range Dual-Modal White Light Imaging Improves the Accuracy of Tumor Bed Sampling After Neoadjuvant Therapy for Breast Cancer. Am J Clin Pathol 2023; 159:293-303. [PMID: 36799717 DOI: 10.1093/ajcp/aqac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/01/2022] [Indexed: 02/18/2023] Open
Abstract
OBJECTIVES Accurate evaluation of residual cancer burden remains challenging because of the lack of appropriate techniques for tumor bed sampling. This study evaluated the application of a white light imaging system to help pathologists differentiate the components and location of tumor bed in specimens. METHODS The high dynamic range dual-mode white light imaging (HDR-DWI) system was developed to capture antiglare reflection and multiexposure HDR transmission images. It was tested in 60 specimens of modified radical mastectomy after neoadjuvant therapy. We observed the differential transmittance among tumor tissue, fibrosis tissue, and adipose tissue. RESULTS The sensitivity and specificity of HDR-DWI were compared with x-ray or visual examination to determine whether HDR-DWI was superior in identifying tumor beds. We found that tumor tissue had lower transmittance (0.12 ± 0.03) than fibers (0.15 ± 0.04) and fats (0.27 ± 0.07) (P < .01). CONCLUSIONS HDR-DWI was more sensitive in identifying fiber and tumor tissues than cabinet x-ray and visual observation (P < .01). In addition, HDR-DWI could identify more fibrosis areas than the currently used whole slide imaging did in 12 samples (12/60). We have determined that HDR-DWI can provide more in-depth tumor bed information than x-ray and visual examination do, which will help prevent diagnostic errors in tumor bed sampling.
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Affiliation(s)
- Meng Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jun Liao
- AI Lab, Tencent, Shenzhen, China
| | - Zhanli Jia
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Lingling Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Han Wang
- AI Lab, Tencent, Shenzhen, China
| | - Yao Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Mengxue Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jinze Li
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Kun Wang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xinran Wang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hong Bu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | | | - Yueping Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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The Use of Optical Coherence Tomography for Gross Examination and Sampling of Fixed Breast Specimens: A Pilot Study. Diagnostics (Basel) 2022; 12:diagnostics12092191. [PMID: 36140591 PMCID: PMC9498270 DOI: 10.3390/diagnostics12092191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/28/2022] [Accepted: 09/06/2022] [Indexed: 11/17/2022] Open
Abstract
Thorough gross examination of breast cancer specimens is critical in order to sample relevant portions for subsequent microscopic examination. This task would benefit from an imaging tool which permits targeted and accurate block selection. Optical coherence tomography (OCT) is a non-destructive imaging technique that visualizes tissue architecture and has the potential to be an adjunct at the gross bench. Our objectives were: (1) to familiarize pathologists with the appearance of breast tissue entities on OCT; and (2) to evaluate the yield and quality of OCT images of unprocessed, formalin-fixed breast specimens for the purpose of learning and establishment of an OCT–histopathology library. Methods: Firstly, 175 samples from 40 formalin-fixed, unprocessed breast specimens with residual tissue after final diagnosis were imaged with OCT and then processed into histology slides. Histology findings were correlated with features on OCT. Results: Residual malignancy was seen in 30% of tissue samples. Corresponding OCT images demonstrated that tumor can be differentiated from fibrous stroma, based on features such as irregular boundary, heterogeneous texture and reduced penetration depth. Ductal carcinoma in situ can be subtle, and it is made more recognizable by the presence of comedo necrosis and calcifications. OCT features of benign and malignant breast entities were compiled in a granular but user-friendly reference tool. Conclusion: OCT images of fixed breast tissue were of sufficient quality to reproduce features of breast entities previously described in fresh tissue specimens. Our findings support the use of readily available unprocessed, fixed breast specimens for the establishment of an OCT–histopathology library.
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Saunders KE, Cody Craig J, Hoerres DL, Maygarden SJ, Wobker SE. Less Is More. Am J Clin Pathol 2022; 158:383-388. [PMID: 35608539 DOI: 10.1093/ajcp/aqac064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Neoadjuvant chemotherapy (NAC) confers a survival advantage for muscle-invasive bladder cancer and is now recommended for chemotherapy-eligible patients. NAC may result in absent gross tumor, and current cystectomy gross examination protocols do not specify approach for these cases. METHODS We included cystectomies performed from 2010 to 2018, capturing a period pre- and post-NAC recommendations. Gross descriptions were reviewed and slides of patients who received NAC were evaluated for microscopic tumor, number of blocks with tumor, and location of those blocks. RESULTS We identified 239 radical cystectomies for bladder cancer (147 NAC, 92 non-NAC). Gross lesions were not identified for 91 cases. NAC cases had more total blocks submitted (mean, 17.5) compared with non-NAC cases (mean, 16.6). More NAC cases had additional blocks submitted (20 cases) compared with non-NAC cases (2), which were more frequently additional random sections. Of 108 NAC cases with residual carcinoma, only 2 (1.9%) were upstaged on additional random sections. CONCLUSIONS At our institution, NAC and non-NAC cases are grossed with similar numbers of initial blocks; however, NAC cases are more likely to submit additional sections of gross lesions and random bladder without significant changes in stage. Our data suggest current gross examination protocols are sufficient for NAC cystectomies.
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Affiliation(s)
- Katherine E Saunders
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - J Cody Craig
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Derek L Hoerres
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Susan J Maygarden
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sara E Wobker
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
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Sahoo S, Krings G, Chen YY, Carter JM, Chen B, Guo H, Hibshoosh H, Reisenbichler E, Fan F, Wei S, Khazai L, Balassanian R, Klein ME, Shad S, Venters SJ, Borowsky AD, Symmans WF, Ocal IT. Standardizing Pathologic Evaluation of Breast Carcinoma After Neoadjuvant Chemotherapy. Arch Pathol Lab Med 2022; 147:591-603. [PMID: 35976643 DOI: 10.5858/arpa.2022-0021-ep] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Neoadjuvant systemic therapy refers to the use of systemic agent(s) for malignancy prior to surgical treatment and has recently emerged as an option for most breast cancer patients eligible for adjuvant systemic therapy. Consequently, treated breast carcinomas have become routine specimens in pathology practices. A standard protocol has not yet been universally adopted for the evaluation and reporting of these specimens. The American Joint Committee on Cancer staging system recognizes the challenges in staging breast carcinomas after neoadjuvant treatment and provides important data points but does not currently provide detailed guidance in estimating the residual tumor burden in the breast and lymph nodes. The Residual Cancer Burden system is the only Web-based system that quantifies treatment response as a continuous variable using residual tumor burden in the breast and the lymph nodes. OBJECTIVE.— To provide clarifications and guidance for evaluation and reporting of postneoadjuvant breast specimens, discuss issues with the current staging and reporting systems, and provide specific suggestions for future modifications to the American Joint Committee on Cancer system and the Residual Cancer Burden calculator. DATA SOURCES.— English-language literature on the subject and the data from the I-SPY 2, a multicenter, adaptive randomization phase 2 neoadjuvant platform trial for early-stage, high-risk breast cancer patients. CONCLUSIONS.— This article highlights challenges in the pathologic evaluation and reporting of treated breast carcinomas and provides recommendations and clarifications for pathologists and clinicians. It also provides specific recommendations for staging and discusses future directions.
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Affiliation(s)
- Sunati Sahoo
- From the Department of Pathology, UTSW Medical Center, Dallas, Texas (Sahoo)
| | - Gregor Krings
- From the Department of Pathology (Krings, Y.-Y. Chen, Balassanian), University of California, San Francisco
| | - Yunn-Yi Chen
- From the Department of Pathology (Krings, Y.-Y. Chen, Balassanian), University of California, San Francisco
| | - Jodi M Carter
- From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Carter, B. Chen)
| | - Beiyun Chen
- From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Carter, B. Chen)
| | - Hua Guo
- From the Department of Pathology and Cell Biology, Columbia University, New York, New York (Guo, Hibshoosh)
| | - Hanina Hibshoosh
- From the Department of Pathology and Cell Biology, Columbia University, New York, New York (Guo, Hibshoosh)
| | - Emily Reisenbichler
- From the Department of Pathology, Saint Louis University School of Medicine, St Louis, Missouri (Reisenbichler)
| | - Fang Fan
- From the Department of Pathology, City of Hope Comprehensive Cancer Center, Duarte, California (Fan)
| | - Shi Wei
- From the Department of Pathology and Laboratory Medicine, University of Kansas School of Medicine, Lawrence (Wei)
- From the Department of Pathology, University of Birmingham, Birmingham, Alabama (Wei)
| | - Laila Khazai
- From the Department of Pathology, University of Texas MD Anderson Cancer Center, Houston (Khazai, Symmans)
| | - Ronald Balassanian
- From the Department of Pathology (Krings, Y.-Y. Chen, Balassanian), University of California, San Francisco
| | - Molly E Klein
- From the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (Klein)
| | - Sonal Shad
- From the Department of Laboratory Medicine (Shad, Venters), University of California, San Francisco
| | - Sara J Venters
- From the Department of Laboratory Medicine (Shad, Venters), University of California, San Francisco
| | - Alexander D Borowsky
- From the Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento (Borowsky)
| | - W Fraser Symmans
- From the Department of Pathology, University of Texas MD Anderson Cancer Center, Houston (Khazai, Symmans)
| | - I Tolgay Ocal
- From the Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, Arizona (Ocal)
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Leung KL, Verma D, Azam YJ, Bakker E. The use of multi-omics data and approaches in breast cancer immunotherapy: a review. Future Oncol 2020; 16:2101-2119. [PMID: 32857605 DOI: 10.2217/fon-2020-0143] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Breast cancer is projected to be the most common cancer in women in 2020 in the USA. Despite high remission rates treatment side effects remain an issue, hence the interest in novel approaches such as immunotherapies which aim to utilize patients' immune systems to target cancer cells. This review summarizes the basics of breast cancer including staging and treatment options, followed by a discussion on immunotherapy, including immune checkpoint blockade. After this, examples of the role of omics-type data and computational biology/bioinformatics in breast cancer are explored. Ultimately, there are several promising areas to investigate such as the prediction of neoantigens and the use of multi-omics data to direct research, with noted appropriate in clinical trial design in terms of end points.
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Affiliation(s)
- Ka Lun Leung
- School of Medicine, The University of Central Lancashire, Preston, UK
| | - Devika Verma
- School of Medicine, The University of Central Lancashire, Preston, UK
| | | | - Emyr Bakker
- School of Medicine, The University of Central Lancashire, Preston, UK
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