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Bischoff H, Espié M, Petit T. Neoadjuvant Therapy: Current Landscape and Future Horizons for ER-Positive/HER2-Negative and Triple-Negative Early Breast Cancer. Curr Treat Options Oncol 2024:10.1007/s11864-024-01251-y. [PMID: 39145854 DOI: 10.1007/s11864-024-01251-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2024] [Indexed: 08/16/2024]
Abstract
OPINION STATEMENT Navigating the complex landscape of breast cancer treatment involves distinct strategies for luminal and triple-negative subtypes. While neoadjuvant chemotherapy historically dominates the approach for aggressive triple-negative tumors, recent evidence highlights the transformative impact of immunotherapy, alongside chemotherapy, in reshaping treatment paradigms. In luminal cancers, endocrine therapy, notably aromatase inhibitors, demonstrates promising outcomes in postmenopausal patients with low-grade luminal A tumors. However, integrating targeted therapies like CDK4/6 inhibitors in neoadjuvant setting remains inconclusive. Identifying predictive factors for treatment response, especially in luminal tumors, poses a challenge, emphasizing the necessity for ongoing research. A multidisciplinary approach, tailored to individual patient profiles, is crucial for maximizing efficacy while minimizing toxicity. As we strive to optimize breast cancer management, a comprehensive understanding of the distinct characteristics and treatment implications of luminal and triple-negative subtypes, including the transformative role of immunotherapy, is essential for informed decision-making and personalized care.
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Affiliation(s)
- Hervé Bischoff
- Medical Oncology Department, Institut de Cancérologie Strasbourg Europe, ICANS, 17 Rue Albert Calmette, 67033, Strasbourg, France.
| | - Marc Espié
- Medical Oncology Department, Hôpital Saint Louis, Paris, France
| | - Thierry Petit
- Medical Oncology Department, Institut de Cancérologie Strasbourg Europe, ICANS, 17 Rue Albert Calmette, 67033, Strasbourg, France
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2
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Zhang H, Li Y, Liu YW, Liu YG, Chen X. Predictive value of lymphocyte subsets and lymphocyte-to-monocyte ratio in assessing the efficacy of neoadjuvant therapy in breast cancer. Sci Rep 2024; 14:12799. [PMID: 38834662 DOI: 10.1038/s41598-024-61632-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/08/2024] [Indexed: 06/06/2024] Open
Abstract
Lymphocyte subsets are the most intuitive expression of the body's immune ability, and the lymphocyte-to-monocyte ratio (LMR) also clearly reflect the degree of chronic inflammation activity. The purpose of this study is to investigate their predictive value of lymphocyte subsets and LMR to neoadjuvant therapy (NAT) efficacy in breast cancer patients. In this study, lymphocyte subsets and LMR were compared between breast cancer patients (n = 70) and benign breast tumor female populations (n = 48). Breast cancer patients were treated with NAT, and the chemotherapy response of the breast was evaluated using established criteria. The differences in lymphocyte subsets and LMR were also compared between pathological complete response (pCR) and non-pCR patients before and after NAT. Finally, data were analyzed using SPSS. The analytical results demonstrated that breast cancer patients showed significantly lower levels of CD3 + T cells, CD4 + T cells, CD4 + /CD8 + ratio, NK cells, and LMR compared to benign breast tumor women (P < 0.05). Among breast cancer patients, those who achieved pCR had higher levels of CD4 + T cells, NK cells, and LMR before NAT (P < 0.05). NAT increased CD4 + /CD8 + ratio and decreased CD8 + T cells in pCR patients (P < 0.05). Additionally, both pCR and non-pCR patients exhibited an increase in CD3 + T cells and CD4 + T cells after treatment, but the increase was significantly higher in pCR patients (P < 0.05). Conversely, both pCR and non-pCR patients experienced a decrease in LMR after treatment. However, this decrease was significantly lower in pCR patients (P < 0.05). These indicators demonstrated their predictive value for therapeutic efficacy. In conclusion, breast cancer patients experience tumor-related immunosuppression and high chronic inflammation response. But this phenomenon can be reversed to varying degrees by NAT. It has been found that lymphocyte subsets and LMR have good predictive value for pCR. Therefore, these markers can be utilized to identify individuals who are insensitive to NAT early on, enabling the adjustment of treatment plans and achieving precise breast cancer treatment.
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Affiliation(s)
- Hao Zhang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yan Li
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Ya-Wen Liu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ye-Gang Liu
- Department of General Surgery, People's Hospital of Tongzi County, Zunyi, Guizhou Province, China
| | - Xin Chen
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Kos Z, Nielsen TO, Laenkholm AV. Breast Cancer Histopathology in the Age of Molecular Oncology. Cold Spring Harb Perspect Med 2024; 14:a041647. [PMID: 38151327 PMCID: PMC11146312 DOI: 10.1101/cshperspect.a041647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
For more than a century, microscopic histology has been the cornerstone for cancer diagnosis, and breast carcinoma is no exception. In recent years, clinical biomarkers, gene expression profiles, and other molecular tests have shown increasing utility for identifying the key biological features that guide prognosis and treatment of breast cancer. Indeed, the most common histologic pattern-invasive ductal carcinoma of no special type-provides relatively little guidance to management beyond triggering grading, biomarker testing, and clinical staging. However, many less common histologic patterns can be recognized by trained pathologists, which in many cases can be linked to characteristic biomarker and gene expression patterns, underlying mutations, prognosis, and therapy. Herein we describe more than a dozen such histomorphologic subtypes (including lobular, metaplastic, salivary analog, and several good prognosis special types of breast cancer) in the context of their molecular and clinical features.
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Affiliation(s)
- Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- BC Cancer Vancouver Centre, Vancouver, British Columbia V5Z 4E6, Canada
| | - Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Molecular and Advanced Pathology Core, Vancouver, British Columbia V6H 3Z6, Canada
| | - Anne-Vibeke Laenkholm
- Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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Medić-Milijić N, Jovanić I, Nedeljković M, Marković I, Spurnić I, Milovanović Z, Ademović N, Tomić T, Tanić N, Tanić N. Prognostic and Clinical Significance of PD-L1, EGFR and Androgen Receptor (AR) Expression in Triple-Negative Breast Cancer (TNBC) Patients. Life (Basel) 2024; 14:682. [PMID: 38929666 PMCID: PMC11205209 DOI: 10.3390/life14060682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and is associated with high recurrence rates, a high incidence of distant metastases and poor overall survival. The aim of this study was to investigate the role of PD-L1, EGFR and AR expression in TNBC promotion and progression. To that end, we analyzed the immunohistochemical expression of these genes in 125 TNBC patients and their relation to clinicopathological parameters and survival. An elevated expression of PD-L1 was significantly correlated with higher tumor and nuclear grade, while a low expression was correlated with loco-regional recurrence without any influence on survival. Contrary to this, the expression of AR showed a positive impact on the DFI and a negative association with tumor grade. Furthermore, PD-L1 and AR demonstrated simultaneous expression, and further co-expression analysis revealed that a positive expression of PD-L1/AR notably correlates with tumor and nuclear grade and has a significant impact on a longer DFI and OS, while a negative PD-L1/AR expression is significantly associated with metastases. Therefore, our results suggest that positive PD-L1/AR expression is beneficial for TNBC patients. In addition, an elevated expression of EGFR contributes to metastases and a worse DFI and OS. In conclusion, we think that low PD-L1/low AR/high EGFR expression followed by high Ki67 expression constitutes a 'high risk' profile of TNBC.
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Affiliation(s)
- Nataša Medić-Milijić
- Department of Pathology, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia; (N.M.-M.); (I.J.); (Z.M.)
| | - Irena Jovanić
- Department of Pathology, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia; (N.M.-M.); (I.J.); (Z.M.)
| | - Milica Nedeljković
- Department of Experimental Oncology, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia;
| | - Ivan Marković
- Surgical Oncology Clinic, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia; (I.M.); (I.S.)
| | - Igor Spurnić
- Surgical Oncology Clinic, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia; (I.M.); (I.S.)
| | - Zorka Milovanović
- Department of Pathology, Institute of Oncology and Radiology of Serbia, 11000 Belgrade, Serbia; (N.M.-M.); (I.J.); (Z.M.)
| | - Nejla Ademović
- Department of Neurobiology, Institute for Biological Research “Siniša Stanković”, National Institute of Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia;
| | - Tijana Tomić
- Department of Radiobiology and Molecular Genetics, Institute of Nuclear Sciences “Vinča”, National Institute of Republic of Serbia, University of Belgrade, Mike Petrocića Alasa 12-14, 11000 Belgrade, Serbia; (T.T.); (N.T.)
| | - Nasta Tanić
- Department of Radiobiology and Molecular Genetics, Institute of Nuclear Sciences “Vinča”, National Institute of Republic of Serbia, University of Belgrade, Mike Petrocića Alasa 12-14, 11000 Belgrade, Serbia; (T.T.); (N.T.)
- Department of Natural Sciences and Mathematics, Field of Biology, State University of Novi Pazar, 36300 Novi Pazar, Serbia
| | - Nikola Tanić
- Department of Neurobiology, Institute for Biological Research “Siniša Stanković”, National Institute of Republic of Serbia, University of Belgrade, 11060 Belgrade, Serbia;
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Zuo WJ, Chen L, Shen Y, Wang ZH, Liu GY, Yu KD, Di GH, Wu J, Li JJ, Shao ZM. Rational and trial design of FASCINATE-N: a prospective, randomized, precision-based umbrella trial. Ther Adv Med Oncol 2024; 16:17588359231225032. [PMID: 38362377 PMCID: PMC10868472 DOI: 10.1177/17588359231225032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 12/19/2023] [Indexed: 02/17/2024] Open
Abstract
Background With our growing insight into the molecular heterogeneity and biological characteristics of breast cancer, individualized treatment is the future of cancer treatment. In this prospective Fudan University Shanghai Cancer Center Breast Cancer Precision Platform Series study - neoadjuvant therapy (FASCINATE-N) trial, we classify breast cancer patients using multiomic characteristics into different subtypes to evaluate the efficacy of precision-based targeted therapies compared to standard neoadjuvant chemotherapy. Methods and design The FASCINATE-N trial is a prospective, randomized, precision-based umbrella trial that plans to enroll 716 women with early breast cancer. After enrollment, patients will first be divided into three groups: hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, HER2+, and HR-/HER2-. The HR+/HER2- patients are further stratified using fusion and clustering of similarity network fusion (SNF) algorithm into four subtypes; HER2+ patients are divided into HR+/HER2+ and HR-/HER2+ subtypes; and HR-/HER2- patients are stratified using the Fudan University Shanghai Cancer Center classification. For the assignment of drugs to patients, Bayesian methods of adaptive randomization will be used. The primary endpoint is pathological complete response rate; secondary endpoints include 3-year invasive disease-free survival, overall response rate, and toxicities according to common terminology criteria for adverse events (CTCAE) scale version 4.0 and the ratio of patients with complete cell cycle arrest (Ki67 < 2.7%) in HR+/HER2+ breast cancer. Discussion The goal of our trial is to test the efficacy of our subtyping-based treatment in a neoadjuvant setting and to conduct a pilot study into the efficacy of targeted therapies within each precision-based subtype. The precision-based treatment arm can be updated with the refinement of our subtyping method, the discovery of new targets, and the development of novel targeted drugs. Our trial offers a unique opportunity to provide patients with individualized neoadjuvant therapy and test promising novel treatments that may further benefit patients. Trial registration ClinicalTrials.gov identifier: NCT05582499 (https://classic.clinicaltrials.gov/ct2/show/NCT05582499).
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Affiliation(s)
- Wen-Jia Zuo
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Li Chen
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu Shen
- Department of Clinical Research & Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd., Shanghai, China
| | - Zhong-Hua Wang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guang-Yu Liu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ke-Da Yu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Gen-Hong Di
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiong Wu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jun-Jie Li
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, 270 Dong-A Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Ming Shao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, 270 Dong-A Road, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Yang ZG, Ren LH, Wang F, Wang PL, Wang WY, Lin SY. Ki-67 Change in Anthracyline-containing Neoadjuvant Chemotherapy Response in Breast Cancer. Curr Med Sci 2024; 44:156-167. [PMID: 38302780 DOI: 10.1007/s11596-023-2824-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/23/2023] [Indexed: 02/03/2024]
Abstract
OBJECTIVE Anthracycline-containing regimens are irreplaceable in neoadjuvant chemotherapy (NAC) for breast cancer (BC) at present. However, 30% of early breast cancer (EBC) patients are resistant to anthracycline-containing chemotherapy, leading to poor prognosis and higher mortality. Ki-67 is associated with the prognosis and response to therapy, and it changes after NAC. METHODS A total of 105 BC patients who received anthracycline-containing NAC were enrolled. Then, the optimal model of Ki-67 was selected, and its predictive efficacy was analyzed. Immunohistochemistry (IHC) was used to determine the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) status and Ki-67 level. Fluorescent in situ hybridization (FISH) was used to verify the HER-2 when the IHC score was 2+. RESULTS The post-NAC Ki67 level after treatment with anthracycline drugs was lower than pre-NAC Ki-67 (19.6%±23.3% vs. 45.6%±23.1%, P<0.001). Furthermore, patients with the Ki-67 decrease had a border line higher pathological complete response (pCR) rate (17.2% vs. 0.0%, P=0.068), and a higher overall response rate (ORR) (73.6% vs. 27.8%, P<0.001), when compared to patients without the Ki-67 decrease. The ΔKi-67 and ΔKi-67% were valuable markers for the prediction of both the pCR rate and ORR. The area under the curve (AUC) for ΔKi-67 on pCR and ORR was 0.809 (0.698-0.921) and 0.755 (0.655-0.855), respectively, while the AUC for ΔKi-67% on pCR and ORR was 0.857 (0.742-0.972) and 0.720 (0.618-0.822), respectively. Multivariate logistic regression model 1 revealed that ΔKi-67 was an independent predictor for both pCR [odds ratio (OR)=61.030, 95% confidence interval (CI)=4.709-790.965; P=0.002] and ORR (OR=10.001, 95% CI: 3.044-32.858; P<0.001). Multivariate logistic regression model 2 revealed that ΔKi-67% was also an independent predictor for both pCR (OR=408.922, 95% CI=8.908-18771.224; P=0.002) and ORR (OR=5.419, 95% CI=1.842-15.943; P=0.002). CONCLUSIONS The present study results suggest that ΔKi67 and ΔKi67% are candidate predictors for anthracycline-containing NAC response, and that they may provide various information for further systematic therapy after surgery in clinical practice.
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Affiliation(s)
- Zi-Guo Yang
- Department of General Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Le-Hao Ren
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Feng Wang
- Department of General Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Pi-Lin Wang
- Department of General Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Wen-Yan Wang
- Department of General Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
| | - Shu-Ye Lin
- Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
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Li X, Fan Z, Jiang H, Niu J, Bian W, Wang C, Wang Y, Zhang R, Zhang H. Synthetic MRI in breast cancer: differentiating benign from malignant lesions and predicting immunohistochemical expression status. Sci Rep 2023; 13:17978. [PMID: 37864025 PMCID: PMC10589282 DOI: 10.1038/s41598-023-45079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/16/2023] [Indexed: 10/22/2023] Open
Abstract
To evaluate and compare the performance of synthetic magnetic resonance imaging (SyMRI) in classifying benign and malignant breast lesions and predicting the expression status of immunohistochemistry (IHC) markers. We retrospectively analysed 121 patients with breast lesions who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and SyMRI before surgery in our hospital. DCE-MRI was used to assess the lesions, and then regions of interest (ROIs) were outlined on SyMRI (before and after enhancement), and apparent diffusion coefficient (ADC) maps to obtain quantitative values. After being grouped according to benign and malignant status, the malignant lesions were divided into high and low expression groups according to the expression status of IHC markers. Logistic regression was used to analyse the differences in independent variables between groups. The performance of the modalities in classification and prediction was evaluated by receiver operating characteristic (ROC) curves. In total, 57 of 121 lesions were benign, the other 64 were malignant, and 56 malignant lesions performed immunohistochemical staining. Quantitative values from proton density-weighted imaging prior to an injection of the contrast agent (PD-Pre) and T2-weighted imaging (T2WI) after the injection (T2-Gd), as well as its standard deviation (SD of T2-Gd), were valuable SyMRI parameters for the classification of benign and malignant breast lesions, but the performance of SyMRI (area under the curve, AUC = 0.716) was not as good as that of ADC values (AUC = 0.853). However, ADC values could not predict the expression status of breast cancer markers, for which SyMRI had excellent performance. The AUCs of androgen receptor (AR), estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), p53 and Ki-67 were 0.687, 0.890, 0.852, 0.746, 0.813 and 0.774, respectively. SyMRI had certain value in distinguishing between benign and malignant breast lesions, and ADC values were still the ideal method. However, to predict the expression status of IHC markers, SyMRI had an incomparable value compared with ADC values.
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Affiliation(s)
- Xiaojun Li
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Radiology, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Zhichang Fan
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hongnan Jiang
- Department of Breast Surgery, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Jinliang Niu
- Department of Radiology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenjin Bian
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Chen Wang
- Department of Pathology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ying Wang
- Department of Pathology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Runmei Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hui Zhang
- Department of Radiology, First Hospital of Shanxi Medical University, No. 85, South Jiefang Road, Yingze District, Taiyuan, 030001, Shanxi, China.
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Hwang I, Kim JE, Jeong JH, Ahn JH, Jung KH, Son BH, Kim HH, Shin J, Lee HJ, Gong G, Kim SB. Randomized phase III trial of a neoadjuvant regimen of four cycles of adriamycin plus cyclophosphamide followed by four cycles of docetaxel (AC4-D4) versus a shorter treatment of three cycles of FEC followed by three cycles of docetaxel (FEC3-D3) in node-positive breast cancer (Neo-shorter; NCT02001506). Breast Cancer Res Treat 2023:10.1007/s10549-023-06971-7. [PMID: 37365483 PMCID: PMC10361883 DOI: 10.1007/s10549-023-06971-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/03/2023] [Indexed: 06/28/2023]
Abstract
PURPOSE To determine whether six cycles of FEC3-D3 has a comparable efficacy to eight of AC4-D4. METHODS The enrolled patients (pts) were clinically diagnosed with stage II or III breast cancer. The primary endpoint was a pathologic complete response (pCR), and the secondary endpoints were 3 year disease-free survival (3Y DFS), toxicities, and health-related quality of life (HRQoL). We calculated that 252 pts were needed in each treatment group to enable the detection of non-inferiority (non-inferiority margin of 10%). RESULTS In terms of ITT analysis, 248 pts were finally enrolled. The 218 pts who completed the surgery were included in the current analysis. The baseline characteristics of these subjects were well balanced between the two arms. By ITT analysis, pCR was achieved in 15/121 (12.4%) pts in the FEC3-D3 arm and 18/126 (14.3%) in the AC4-D4 arm. With a median follow up of 64.1 months, the 3Y DFS was comparable between the two arms (75.8% in FEC3-D3 vs. 75.6% in AC4-D4). The most common adverse event (AE) was Grade 3/4 neutropenia, which arose in 27/126 (21.4%) AC4-D4 arm pts vs 23/121 (19.0%) FEC3-D3 arm cases. The primary HRQoL domains were similar between the two groups (FACT-B scores at baseline, P = 0.35; at the midpoint of NACT, P = 0.20; at the completion of NACT, P = 0.44). CONCLUSION Six cycles of FEC3-D3 could be an alternative to eight of AC4-D4. Trial registration ClinicalTrials.gov NCT02001506. Registered December 5,2013. https://clinicaltrials.gov/ct2/show/NCT02001506.
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Affiliation(s)
- Inhwan Hwang
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Department of Oncology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Republic of Korea
| | - Jeong Eun Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jae Ho Jeong
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Jin-Hee Ahn
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Kyung Hae Jung
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Byung Ho Son
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hak Hee Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Junyoung Shin
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hee Jin Lee
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Gyungyub Gong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sung-Bae Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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García-Torralba E, Navarro Manzano E, Luengo-Gil G, De la Morena Barrio P, Chaves Benito A, Pérez-Ramos M, Álvarez-Abril B, Ivars Rubio A, García-Garre E, Ayala de la Peña F, García-Martínez E. A new prognostic model including immune biomarkers, genomic proliferation tumor markers ( AURKA and MYBL2) and clinical-pathological features optimizes prognosis in neoadjuvant breast cancer patients. Front Oncol 2023; 13:1182725. [PMID: 37313470 PMCID: PMC10258327 DOI: 10.3389/fonc.2023.1182725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/17/2023] [Indexed: 06/15/2023] Open
Abstract
Background Up to 30% of breast cancer (BC) patients treated with neoadjuvant chemotherapy (NCT) will relapse. Our objective was to analyze the predictive capacity of several markers associated with immune response and cell proliferation combined with clinical parameters. Methods This was a single-center, retrospective cohort study of BC patients treated with NCT (2001-2010), in whom pretreatment biomarkers were analyzed: neutrophil-to-lymphocyte ratio (NLR) in peripheral blood, CD3+ tumor-infiltrating lymphocytes (TILs), and gene expression of AURKA, MYBL2 and MKI67 using qRT-PCR. Results A total of 121 patients were included. Median followup was 12 years. In a univariate analysis, NLR, TILs, AURKA, and MYBL2 showed prognostic value for overall survival. In multivariate analyses, including hormone receptor, HER2 status, and response to NCT, NLR (HR 1.23, 95% CI 1.01-1.75), TILs (HR 0.84, 95% CI 0.73-0.93), AURKA (HR 1.05, 95% CI 1.00-1.11) and MYBL2 (HR 1.19, 95% CI 1.05-1.35) remained as independent predictor variables. Conclusion Consecutive addition of these biomarkers to a regression model progressively increased its discriminatory capacity for survival. Should independent cohort studies validate these findings, management of early BC patients may well be changed.
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Affiliation(s)
- Esmeralda García-Torralba
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Esther Navarro Manzano
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Gines Luengo-Gil
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Pilar De la Morena Barrio
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | | | - Miguel Pérez-Ramos
- Department of Pathology, University Hospital Morales Meseguer, Murcia, Spain
| | - Beatriz Álvarez-Abril
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Alejandra Ivars Rubio
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Elisa García-Garre
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Francisco Ayala de la Peña
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
| | - Elena García-Martínez
- Department of Haematology and Medical Oncology, University Hospital Morales Meseguer, Murcia, Spain
- Department of Medicine, Medical School, University of Murcia, Murcia, Spain
- Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain
- Medical School, Catholic University of Murcia, Murcia, Spain
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Zhang H, Cao W, Liu L, Meng Z, Sun N, Meng Y, Fei J. Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound. J Transl Med 2023; 21:337. [PMID: 37211604 DOI: 10.1186/s12967-023-04201-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/14/2023] [Indexed: 05/23/2023] Open
Abstract
OBJECTIVES To explore an optimal model to predict the response of patients with axillary lymph node (ALN) positive breast cancer to neoadjuvant chemotherapy (NAC) with machine learning using clinical and ultrasound-based radiomic features. METHODS In this study, 1014 patients with ALN-positive breast cancer confirmed by histological examination and received preoperative NAC in the Affiliated Hospital of Qingdao University (QUH) and Qingdao Municipal Hospital (QMH) were included. Finally, 444 participants from QUH were divided into the training cohort (n = 310) and validation cohort (n = 134) based on the date of ultrasound examination. 81 participants from QMH were used to evaluate the external generalizability of our prediction models. A total of 1032 radiomic features of each ALN ultrasound image were extracted and used to establish the prediction models. The clinical model, radiomics model, and radiomics nomogram with clinical factors (RNWCF) were built. The performance of the models was assessed with respect to discrimination and clinical usefulness. RESULTS Although the radiomics model did not show better predictive efficacy than the clinical model, the RNWCF showed favorable predictive efficacy in the training cohort (AUC, 0.855; 95% CI 0.817-0.893), the validation cohort (AUC, 0.882; 95% CI 0.834-0.928), and the external test cohort (AUC, 0.858; 95% CI 0.782-0.921) compared with the clinical factor model and radiomics model. CONCLUSIONS The RNWCF, a noninvasive, preoperative prediction tool that incorporates a combination of clinical and radiomics features, showed favorable predictive efficacy for the response of node-positive breast cancer to NAC. Therefore, the RNWCF could serve as a potential noninvasive approach to assist personalized treatment strategies, guide ALN management, avoiding unnecessary ALND.
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Affiliation(s)
- Hao Zhang
- Department of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wen Cao
- Department of Medical Record Management, The Affiliated Hospital of Qingdao University, Pingdu District, Qingdao, Shandong, China
| | - Lianjuan Liu
- Department of Ultrasound, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, Shandong, China
| | - Zifan Meng
- Department of Blood Transfusion, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ningning Sun
- Department of Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yuanyuan Meng
- Department of Cardiac Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Jie Fei
- Department of Breast Imaging, The Affiliated Hospital of Qingdao University, No. 59 Haier Road, Qingdao, 266000, Shandong, China.
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Pore AA, Dhanasekara CS, Navaid HB, Vanapalli SA, Rahman RL. Comprehensive Profiling of Cancer-Associated Cells in the Blood of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy to Predict Pathological Complete Response. Bioengineering (Basel) 2023; 10:bioengineering10040485. [PMID: 37106672 PMCID: PMC10136335 DOI: 10.3390/bioengineering10040485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/12/2023] [Accepted: 04/16/2023] [Indexed: 04/29/2023] Open
Abstract
Neoadjuvant chemotherapy (NAC) can affect pathological complete response (pCR) in breast cancers; the resection that follows identifies patients with residual disease who are then offered second-line therapies. Circulating tumor cells (CTCs) and cancer-associated macrophage-like cells (CAMLs) in the blood can be used as potential biomarkers for predicting pCR before resection. CTCs are of epithelial origin that undergo epithelial-to-mesenchymal transition to become more motile and invasive, thereby leading to invasive mesenchymal cells that seed in distant organs, causing metastasis. Additionally, CAMLs in the blood of cancer patients are reported to either engulf or aid the transport of cancer cells to distant organs. To study these rare cancer-associated cells, we conducted a preliminary study where we collected blood from patients treated with NAC after obtaining their written and informed consent. Blood was collected before, during, and after NAC, and Labyrinth microfluidic technology was used to isolate CTCs and CAMLs. Demographic, tumor marker, and treatment response data were collected. Non-parametric tests were used to compare pCR and non-pCR groups. Univariate and multivariate models were used where CTCs and CAMLs were analyzed for predicting pCR. Sixty-three samples from 21 patients were analyzed. The median(IQR) pre-NAC total and mesenchymal CTC count/5 mL was lower in the pCR vs. non-pCR group [1(3.5) vs. 5(5.75); p = 0.096], [0 vs. 2.5(7.5); p = 0.084], respectively. The median(IQR) post-NAC CAML count/5 mL was higher in the pCR vs. non-pCR group [15(6) vs. 6(4.5); p = 0.004]. The pCR group was more likely to have >10 CAMLs post-NAC vs. non-pCR group [7(100%) vs. 3(21.4%); p = 0.001]. In a multivariate logistic regression model predicting pCR, CAML count was positively associated with the log-odds of pCR [OR = 1.49(1.01, 2.18); p = 0.041], while CTCs showed a negative trend [Odds Ratio (OR) = 0.44(0.18, 1.06); p = 0.068]. In conclusion, increased CAMLs in circulation after treatment combined with lowered CTCs was associated with pCR.
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Affiliation(s)
- Adity A Pore
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA
| | | | - Hunaiz Bin Navaid
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA
| | - Siva A Vanapalli
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA
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12
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Shi W, Wan X, He J, Wang Y, Zhang W, Xu Y, Huang X, Chen R, Xu L, Zha X, Wang J. Comparison of clinicopathological characteristics and response to neoadjuvant systemic therapy in patients with HER2-low-positive and HER2-zero breast cancer. J Investig Med 2023; 71:384-393. [PMID: 36655808 DOI: 10.1177/10815589231151232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Previous studies have observed that human epidermal growth factor receptor 2 (HER2)-low-positive patients and HER2-zero patients have different prognoses. This study was conducted to investigate whether there are differences in clinicopathological characteristics and the response to neoadjuvant systemic therapy (NST) defined as systemic treatment prior to surgery between HER2-low-positive patients and HER2-zero patients. We retrospectively analyzed the data of patients with HER2-negative breast cancer who received NST at the First Affiliated Hospital of Nanjing Medical University from 2014 to 2021. There were 238 patients with HER2-low-positive status and 198 patients with HER2-zero status. The proportion of hormone receptor (HR)-positive patients in the HER2-low-positive group was significantly higher than that in the HER2-zero group (82.8% vs 52.0%, p < 0.001). The HER2-low-positive group had more patients with low Ki67 expression (23.9% vs 16.2%, p = 0.045), higher mastectomy rate (94.5% vs 88.9%, p = 0.031), and larger pathological tumor size (21.6 vs 17.8 mm, p = 0.028) than the HER2-zero group. However, no significant differences were found in pathologic complete response (pCR) rates between the two groups. We draw a conclusion that patients with HER2-low status and HER2-zero status were not found to have different pCR rates after NST, irrespective of HR status. However, differences were observed in some clinicopathological characteristics between the two groups.
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Affiliation(s)
- Wenjie Shi
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Wan
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinzhi He
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ye Wang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Weiwei Zhang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yinggang Xu
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaofeng Huang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rui Chen
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Xu
- Department of Clinical Nutrition, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoming Zha
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jue Wang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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13
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Zhang W, Xu Y, Wang Y, He J, Chen R, Wan X, Shi W, Huang X, Shi X, Wang J, Zha X. Prognostic analysis of three forms of Ki-67 in patients with breast cancer with non-pathological complete response before and after neoadjuvant systemic treatment. Cancer Med 2023; 12:9363-9372. [PMID: 36794698 PMCID: PMC10166904 DOI: 10.1002/cam4.5693] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 01/21/2023] [Accepted: 02/02/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Patients who do not achieve a pathological complete response (pCR) after neoadjuvant systemic treatment (NST) have a significantly worse prognosis. A reliable predictor of prognosis is required to further subdivide non-pCR patients. To date, the prognostic role in terms of disease-free survival (DFS) between the terminal index of Ki-67 after surgery (Ki-67T ) and the combination of the baseline Ki-67 at biopsy before NST (Ki-67B ) and the percentage change in Ki-67 before and after NST (Ki-67C ) has not been compared. AIM This study aimed to explore the most useful form or combination of Ki-67 that can provide prognostic information to non-pCR patients. PATIENTS AND METHODS We retrospectively reviewed 499 patients who were diagnosed with inoperable breast cancer between August 2013 and December 2020 and received NST with anthracycline plus taxane. RESULTS Among all the patients, 335 did not achieve pCR (with a follow-up period of ≥1 year). The median follow-up duration was 36 months. The optimal cutoff value of Ki-67C to predict a DFS was 30%. A significantly worse DFS was observed in patients with a low Ki-67C (p < 0.001). In addition, the exploratory subgroup analysis showed relatively good internal consistency. Ki-67C and Ki-67T were considered as independent risk factors for DFS (both p < 0.001). The forecasting model combining Ki-67B and Ki-67C showed a significantly higher area under the curve at years 3 and 5 than Ki-67T (p = 0.029 and p = 0.022, respectively). CONCLUSIONS Ki-67C and Ki-67T were good independent predictors of DFS, whereas Ki-67B was a slightly inferior predictor. The combination of Ki-67B and Ki-67C is superior to Ki-67T for predicting DFS, especially at longer follow-ups. Regarding clinical application, this combination could be used as a novel indicator for predicting DFS to more clearly identify high-risk patients.
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Affiliation(s)
- Weiwei Zhang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yinggang Xu
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ye Wang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinzhi He
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rui Chen
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Wan
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenjie Shi
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaofeng Huang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoqing Shi
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jue Wang
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoming Zha
- Department of Breast Disease, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
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14
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Finkelman BS, Zhang H, Hicks DG, Turner BM. The Evolution of Ki-67 and Breast Carcinoma: Past Observations, Present Directions, and Future Considerations. Cancers (Basel) 2023; 15:cancers15030808. [PMID: 36765765 PMCID: PMC9913317 DOI: 10.3390/cancers15030808] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
The 1983 discovery of a mouse monoclonal antibody-the Ki-67 antibody-that recognized a nuclear antigen present only in proliferating cells represented a seminal discovery for the pathologic assessment of cellular proliferation in breast cancer and other solid tumors. Cellular proliferation is a central determinant of prognosis and response to cytotoxic chemotherapy in patients with breast cancer, and since the discovery of the Ki-67 antibody, Ki-67 has evolved as an important biomarker with both prognostic and predictive potential in breast cancer. Although there is universal recognition among the international guideline recommendations of the value of Ki-67 in breast cancer, recommendations for the actual use of Ki-67 assays in the prognostic and predictive evaluation of breast cancer remain mixed, primarily due to the lack of assay standardization and inconsistent inter-observer and inter-laboratory reproducibility. The treatment of high-risk ER-positive/human epidermal growth factor receptor-2 (HER2) negative breast cancer with the recently FDA-approved drug abemaciclib relies on a quantitative assessment of Ki-67 expression in the treatment decision algorithm. This further reinforces the urgent need for standardization of Ki-67 antibody selection and staining interpretation, which will hopefully lead to multidisciplinary consensus on the use of Ki-67 as a prognostic and predictive marker in breast cancer. The goals of this review are to highlight the historical evolution of Ki-67 in breast cancer, summarize the present literature on Ki-67 in breast cancer, and discuss the evolving literature on the use of Ki-67 as a companion diagnostic biomarker in breast cancer, with consideration for the necessary changes required across pathology practices to help increase the reliability and widespread adoption of Ki-67 as a prognostic and predictive marker for breast cancer in clinical practice.
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15
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Koca B, Yildirim M, Ugurlu C, Bostan MS, Başak M, Dasıran MF, Özcan N. Factors Affecting Axillary Complete Response After Neoadjuvant Chemotherapy and the Importance of Ki-67 Level. Indian J Surg 2022. [DOI: 10.1007/s12262-022-03633-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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16
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Guan D, Jie Q, Wu Y, Xu Y, Hong W, Meng X. Real-world data on breast pathologic complete response and disease-free survival after neoadjuvant chemotherapy for hormone receptor-positive, human epidermal growth factor receptor-2-negative breast cancer: a multicenter, retrospective study in China. World J Surg Oncol 2022; 20:326. [PMID: 36175898 PMCID: PMC9520808 DOI: 10.1186/s12957-022-02787-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 07/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The data in the real-world setting on breast pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) for hormone receptor-positive, human epidermal growth factor receptor-2-negative (HR+, HER2-) breast cancer (BC) is limited. The present study aims to screen for some predictors and investigate the prognostic significance of breast pCR after NAC in HR+, HER2- BC in China. METHODS This was a multicenter, retrospective study. In this study, three hundred eighty-four HR+, HER2- BC patients who received NAC were enrolled between 2010 and 2016 from Shanghai Jiaotong University Breast Cancer Database (SJTU-BCDB). These patients were dichotomized according to the presence of breast pCR after NAC. Logistic analysis was used to screen for predictors associated with breast pCR. Kaplan-Meier (K-M) curve and a propensity score matching (PSM) analysis were performed to compare the disease-free survival (DFS) between the two groups. Cox regression was used to analyze the prognostic significance of breast pCR on DFS in HR+, HER2- BC. A nomogram model was established to predict the probability of DFS at 1, 3, and 5 years after NAC. RESULTS Fifty-seven patients (14.8%) achieved breast pCR. Univariate analysis showed that tumor size, estrogen receptor (ER), progesterone receptor (PR), and Ki67 were associated with breast pCR. Further, multivariate analysis showed that tumor size, PR, and Ki67 remained statistically significant. K-M curves showed a statistical difference between the breast pCR and non-pCR groups before PSM (p = 0.047), and a more significant difference was shown after PSM (p = 0.033). Cox regression after PSM suggested that breast pCR, adjuvant ET, clinical T stage, and Ki67 status were the significant predictive factors for DFS in HR+, HER2- BC patients. The adjusted hazards ratio (aHR) for breast pCR was 0.228 (95% CI, 0.070~0.739; p = 0.014), for adjuvant endocrine therapy was 0.217 (95% CI, 0.059~0.801; p = 0.022), for Ki67 was 1.027 (95% CI, 1.003~1.052; p = 0.027), for cT stages 2 and 3 compared with 1, the values were 1.331 (95% CI, 0.170~10.389), and 4.699 (95% CI, 0.537~41.142), respectively (p = 0.043). A nomogram was built based on these significant predictors, providing an integrated probability of DFS at 1, 3, and 5 years. The values of area under the receiver operating characteristic (ROC) curve (AUC) were 0.967, 0.991, and 0.787, at 1 year, 3 years, and 5 years, respectively, demonstrating the ability of the nomogram to predict the DFS. CONCLUSIONS This real-world study demonstrates that tumor size, PR, and Ki67 were independent predictive factors for breast pCR in HR+, HER2- BC. Breast pCR after NAC was an independent predictor for DFS in HR+, HER2- patients, regardless of a change in nodes. Furthermore, the nomogram built in our study could predict the probability of individualized DFS in HR+, HER2- BC patients.
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Affiliation(s)
- Dandan Guan
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Shangtang Road No. 158, Hangzhou, 310014, Zhejiang, China
| | - Qiu Jie
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yihao Wu
- Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Yuhao Xu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Weimin Hong
- Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xuli Meng
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Shangtang Road No. 158, Hangzhou, 310014, Zhejiang, China.
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Kreipe H, Harbeck N, Christgen M. Clinical validity and clinical utility of Ki67 in early breast cancer. Ther Adv Med Oncol 2022; 14:17588359221122725. [PMID: 36105888 PMCID: PMC9465566 DOI: 10.1177/17588359221122725] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/10/2022] [Indexed: 11/25/2022] Open
Abstract
Ki67 represents an immunohistochemical nuclear localized marker that is widely
used in surgical pathology. Nuclear immunoreactivity for Ki67 indicates that
cells are cycling and are in G1- to S-phase. The percentage of Ki67-positive
tumor cells (Ki67 index) therefore provides an estimate of the growth fraction
in tumor specimens. In breast cancer (BC), tumor cell proliferation rate is one
of the most relevant prognostic markers and Ki67 is consequently helpful in
prognostication similar to histological grading and mRNA profiling-based BC risk
stratification. In BCs treated with short-term preoperative endocrine therapy,
Ki67 dynamics enable distinguishing between endocrine sensitive and resistant
tumors. Despite its nearly universal use in pathology laboratories worldwide, no
internationally accepted consensus has yet been achieved for some methodological
details related to Ki67 immunohistochemistry (IHC). Controversial issues refer
to choice of IHC antibody clones, scoring methods, inter-laboratory
reproducibility, and the potential value of computer-assisted imaging analysis
and/or artificial intelligence for Ki67 assessment. Prospective clinical trials
focusing on BC treatment have proven that Ki67, as determined by standardized
central pathology assessment, is of clinical validity. Clinical utility has been
demonstrated in huge observational studies.
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Affiliation(s)
- Hans Kreipe
- Institute of Pathology, Hannover Medical School, Carl-Neubergstraße 1, Hannover 30625, Germany
| | - Nadia Harbeck
- Brustzentrum der Universität München (LMU) Frauenklinik Maistrasse-Innenstadt und Klinikum Großhadern, Germany
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The Impact of Tumor Infiltrating Lymphocytes Densities and Ki67 Index on Residual Breast Cancer Burden following Neoadjuvant Chemotherapy. Int J Breast Cancer 2022; 2022:2597889. [PMID: 36133828 PMCID: PMC9484975 DOI: 10.1155/2022/2597889] [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: 07/12/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
To avoid unnecessary neoadjuvant chemotherapy in case anticipating a poor therapy response, it is essential to find the pathological parameters that would predict pathological complete response or at least a decrease in tumor burden following neoadjuvant chemotherapy. The purpose of this study is to investigate the hypothesis that tumor infiltrating lymphocytes can predict the efficacy of neoadjuvant chemotherapy and to find the Ki67 cutoff value that best predicts the benefit of chemotherapy. 153 cases of breast cancer were chosen, based on their molecular subtype: triple negative subtype (77) and luminal, HER2-ve subtype (76). Histopathological assessment of pretherapy core biopsies was conducted to assess variable pathological parameters including TILs rates with the aid of immunohistochemical staining for CD20 and CD3. Moreover, core biopsies were stained for Ki67, and the findings were compared to the residual cancer burden following neoadjuvant chemotherapy. On analyzing and contrasting the two groups, a significant association between molecular subtype and pathological complete response was confirmed, while tumor-infiltrating lymphocytes in either group had no effect on therapy response. We used receiver operating characteristic curve analysis to determine that a cutoff of 36% for Ki67 is the most accurate value to predict complete therapy response.
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How Reliable Are Gene Expression-Based and Immunohistochemical Biomarkers Assessed on a Core-Needle Biopsy? A Study of Paired Core-Needle Biopsies and Surgical Specimens in Early Breast Cancer. Cancers (Basel) 2022; 14:cancers14164000. [PMID: 36010992 PMCID: PMC9406531 DOI: 10.3390/cancers14164000] [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: 07/04/2022] [Revised: 08/12/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Abstract
In early breast cancer, a preoperative core-needle biopsy (CNB) is vital to confirm the malignancy of suspected lesions and for assessing the expression of treatment predictive and prognostic biomarkers in the tumor to choose the optimal treatments, emphasizing the importance of obtaining reliable results when biomarker status is assessed on a CNB specimen. This study aims to determine the concordance between biomarker status assessed as part of clinical workup on a CNB compared to a medically untreated surgical specimen. Paired CNB and surgical specimens from 259 patients that were part of the SCAN-B cohort were studied. The concordance between immunohistochemical (IHC) and gene expression (GEX) based biomarker status was investigated. Biomarkers of interest included estrogen receptor (ER; specifically, the alpha variant), progesterone receptor (PgR), Ki67, HER2, and tumor molecular subtype. In general, moderate to very good correlation in biomarker status between the paired CNB and surgical specimens was observed for both IHC assessment (83–99% agreement, kappa range 0.474–0.917) and GEX assessment (70–97% agreement, kappa range 0.552–0.800), respectively. However, using IHC, 52% of cases with low Ki67 status in the CNB shifted to high Ki67 status in the surgical specimen (McNemar’s p = 0.011). Similarly, when using GEX, a significant shift from negative to positive ER (47%) and from low to high Ki67 (16%) was observed between the CNB and surgical specimen (McNemar’s p = 0.027 and p = 0.002 respectively). When comparing biomarker status between different techniques (IHC vs. GEX) performed on either CNBs or surgical specimens, the agreement in ER, PgR, and HER2 status was generally over 80% in both CNBs and surgical specimens (kappa range 0.395–0.708), but Ki67 and tumor molecular subtype showed lower concordance levels between IHC and GEX (48–62% agreement, kappa range 0.152–0.398). These results suggest that both the techniques used for collecting tissue samples and analyzing biomarker status have the potential to affect the results of biomarker assessment, potentially also impacting treatment decisions and patient survival outcomes.
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Zhang J, Liu Q, Li J, Liu Z, Wang X, Li N, Huang Z, Xu H. Magnetic resonance spectroscopy associations with clinicopathologic features of estrogen-dependent endometrial cancer. BMC Med Imaging 2022; 22:127. [PMID: 35850646 PMCID: PMC9295509 DOI: 10.1186/s12880-022-00856-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We studied the magnetic resonance spectroscopy (MRS) associations with clinicopathologic features of estrogen-dependent endometrial cancer (type I EC). METHODS Totally 45 patients with type I EC who underwent preoperative multi-voxel MRS at 3.0 T were enrolled. The mean ratio of the Cho peak integral to the unsuppressed water peak integral (Cho/water) of the tumor was calculated. The Cho/water and apparent diffusion coefficient (ADC) of type I EC with and without local invasion, as well as with different levels of Ki-67 staining index (SI) (≤ 40% and > 40%), were compared. Correlation test was used to examine the relationship of Cho/water, as well as mean ADC, with Ki-67 SI, tumor stage, and tumor grade. RESULTS The mean Cho/water of EC with Ki-67 SI ≤ 40% (2.28 ± 0.93) × 10-3 was lower than that with Ki-67 SI > 40% (4.08 ± 1.00) × 10-3 (P < 0.001). The mean Cho/water of EC with deep and superficial myometrial invasion was (3.41 ± 1.26) × 10-3 and (2.43 ± 1.11) × 10-3, respectively (P = 0.011). There was no significant difference in Cho/water between type I EC with and without cervical invasioin ([2.68 ± 1.00] × 10-3 and [2.77 ± 1.28] × 10-3, P = 0.866). The mean Cho/water of type I EC with and without lymph node metastasis was (4.02 ± 1.90) × 10-3 and (2.60 ± 1.06) × 10-3, respectively (P = 0.014). The Cho/water was positively correlated with the Ki-67 SI (r = 0.701, P < 0.001). There were no significant differences in ADC among groups (all P > 0.05). CONCLUSION MRS is helpful for preoperative assessment of clinicopathological features of type I EC.
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Affiliation(s)
- Jie Zhang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China
| | - Qingwei Liu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China
| | - Jie Li
- Special Inspection Department, Taian City Central Hospital Branch, No. 336, Wanguan Road, Taian, 271000, Shandong, China
| | - Zhiling Liu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China
| | - Na Li
- Department of Gynecology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China
| | - Zhaoqin Huang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
| | - Han Xu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
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21
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Nakhlis F, Portnow L, Gombos E, Daylan AEC, Leone JP, Kantor O, Richardson ET, Ho A, Dunn SA, Ohri N. Multidisciplinary Considerations in the Management of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. Curr Probl Surg 2022; 59:101191. [DOI: 10.1016/j.cpsurg.2022.101191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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22
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Kim JY, Oh JM, Lee SK, Yu J, Lee JE, Kim SW, Nam SJ, Park YH, Ahn JS, Kim K, Im YH. Improved Prediction of Survival Outcomes Using Residual Cancer Burden in Combination With Ki-67 in Breast Cancer Patients Underwent Neoadjuvant Chemotherapy. Front Oncol 2022; 12:903372. [PMID: 35747813 PMCID: PMC9209701 DOI: 10.3389/fonc.2022.903372] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 05/09/2022] [Indexed: 12/04/2022] Open
Abstract
We developed a model for improving the prediction of survival outcome using postoperative Ki-67 value in combination with residual cancer burden (RCB) in patients with breast cancer (BC) who underwent neoadjuvant chemotherapy (NAC). We analyzed the data from BC patients who underwent NAC between 2010 and 2019 at Samsung Medical Center and developed our residual proliferative cancer burden (RPCB) model using semi-quantitative Ki-67 value and RCB class. The Cox proportional hazard model was used to develop our RPCB model according to disease free survival (DFS) and overall survival (OS). In total, 1,959 patients were included in this analysis. Of 1,959 patients, 905 patients were excluded due to RCB class 0, and 32 were due to a lack of Ki-67 data. Finally, an RPCB model was developed using data from 1,022 patients. The RPCB score was calculated for DFS and OS outcomes, respectively (RPCB-DFS and RPCB-OS). For further survival analysis, we divided the population into 3 classes according to the RPCB score. In the prediction of DFS, C-indices were 0.751 vs 0.670 and time-dependent areas under the receiver operating characteristic curves (AUCs) at 3-year were 0.740 vs 0.669 for RPCB-DFS and RCB models, respectively. In the prediction of OS, C-indices were 0.819 vs 0.720 and time-dependent AUCs at 3-year were 0.875 vs 0.747 for RPCB-OS and RCB models, respectively. The RPCB model developed using RCB class and semi-quantitative Ki-67 had superior predictive value for DFS and OS compared with that of RCB class. This prediction model could provide the basis to decide risk-stratified treatment plan for BC patients who had residual disease after NAC.
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Affiliation(s)
- Ji-Yeon Kim
- Division of Hematology–Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jung Min Oh
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se Kyung Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jonghan Yu
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jeong Eon Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Seok Won Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seok Jin Nam
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yeon Hee Park
- Division of Hematology–Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Jin Seok Ahn
- Division of Hematology–Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyunga Kim
- Department of Data Convergence and Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
| | - Young-Hyuck Im
- Division of Hematology–Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
- *Correspondence: Young-Hyuck Im,
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23
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Skarping I, Blaabjerg Pedersen S, Förnvik D, Zackrisson S, Borgquist S. The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients. Acta Oncol 2022; 61:731-737. [PMID: 35363106 DOI: 10.1080/0284186x.2022.2055976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Obesity seems to be associated with a poorer response to adjuvant chemotherapy in breast cancer (BC); however, associations in the neoadjuvant chemotherapy (NACT) setting and according to menopausal status are less studied. This study aims to investigate the association between pretreatment body mass index (BMI) and pathological complete response (pCR) following NACT in BC according to menopausal and estrogen receptor (ER) status. MATERIAL AND METHODS The study cohort consisted of 491 patients receiving NACT in 2005-2019. Based on pre-NACT patient and tumor characteristics, the association between BMI and achieving pCR was analyzed using logistic regression models (crude and adjusted models (age, tumor size, and node status)) with stratification by menopausal and ER status. RESULTS In the overall cohort, being overweight (BMI ≥25) compared by being normal-weight (BMI <25), increased the odds of accomplishing pCR by 15%. However, based on the 95% confidence interval (CI) the data were compatible with associations within the range of a decrease of 30% to an increase of 89%. Stratification according to menopausal status also showed no strong association: the odds ratio (OR) of accomplishing pCR in overweight premenopausal patients compared with normal-weight premenopausal patients was 1.76 (95% CI 0.88-3.55), whereas for postmenopausal patients the corresponding OR was 0.71 (95% CI 0.35-1.46). DISCUSSION In a NACT BC cohort of 491 patients, we found no evidence of high BMI as a predictive factor of accomplishing pCR, neither in the whole cohort nor stratified by menopausal status. Given the limited precision in our results, larger studies are needed before considering BMI in clinical decision-making regarding NACT or not.
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Affiliation(s)
- Ida Skarping
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
| | | | - Daniel Förnvik
- Medical Radiation Physics, Department of Translational Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Department of Imaging and Functional Medicine, Skåne University Hospital, Lund University, Lund and Malmö, Sweden
| | - Signe Borgquist
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Oncology, Aarhus University Hospital/Aarhus University, Aarhus, Denmark
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24
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Domergue C, Martin E, Lemarié C, Jézéquel P, Frenel JS, Augereau P, Campone M, Patsouris A. Impact of HER2 Status on Pathological Response after Neoadjuvant Chemotherapy in Early Triple-Negative Breast Cancer. Cancers (Basel) 2022; 14:2509. [PMID: 35626113 PMCID: PMC9139240 DOI: 10.3390/cancers14102509] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/10/2022] [Accepted: 05/13/2022] [Indexed: 02/06/2023] Open
Abstract
PURPOSE Investigates the link between HER2 status and histological response after neoadjuvant chemotherapy in patients with early TNBC. METHODS We retrieved clinical and anatomopathological data retrospectively from 449 patients treated for the first time with standard neoadjuvant chemotherapy for early unilateral BC between 2005 and 2020. The primary endpoint was pathological complete response (pCR, i.e., ypT0 ypN0), according to HER2 status. Secondary endpoints included invasive disease-free survival (I-DFS) and overall survival (OS). RESULTS 437 patients were included, and 121 (27.7%) patients had HER2-low tumours. The pCR rate was not significantly different between the HER2-low group vs. the HER2-0 group (35.7% versus 41.8%, p = 0.284) in either univariate analysis or multivariate analysis adjusted for TNM classification and grade (odds ratio [OR] = 0.70, confidence interval [CI] 95% 0.45-1.08). With a median follow-up of 72.9 months, no significant survival differences were observed between patients with HER2-low tumours vs. patients with HER2-0 tumours in terms of I-DFS (p = 0.487) and OS (p = 0.329). CONCLUSIONS In our cohort, HER2 status was not significantly associated with pCR in a manner consistent with data published recently on TNBC. However, the prognostic impact of HER2-low expression among TNBC patients warrants further evaluation.
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Affiliation(s)
- Camille Domergue
- Medical Oncology Department, ICO Institut de Cancérologie de l’Ouest, 49000 Angers, France; (P.A.); (M.C.); (A.P.)
| | - Elodie Martin
- Clinical Trial Sponsor Unit/Biometry, ICO Institut de Cancérologie de l’Ouest, 44800 Saint-Herblain, France;
| | - Camille Lemarié
- Biopathology Department, ICO Institut de Cancérologie de l’Ouest, 44800 Saint-Herblain, France;
| | - Pascal Jézéquel
- Omics Data Science Unit, ICO Institut de Cancérologie de l’Ouest, 44800 Saint-Herblain, France;
| | - Jean-Sebastien Frenel
- Medical Oncology Department, ICO Institut de Cancérologie de l’Ouest, 44800 Saint-Herblain, France;
| | - Paule Augereau
- Medical Oncology Department, ICO Institut de Cancérologie de l’Ouest, 49000 Angers, France; (P.A.); (M.C.); (A.P.)
| | - Mario Campone
- Medical Oncology Department, ICO Institut de Cancérologie de l’Ouest, 49000 Angers, France; (P.A.); (M.C.); (A.P.)
| | - Anne Patsouris
- Medical Oncology Department, ICO Institut de Cancérologie de l’Ouest, 49000 Angers, France; (P.A.); (M.C.); (A.P.)
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25
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Barakat HE, Hussein RRS, Elberry AA, Zaki MA, Ramadan ME. The impact of metformin use on the outcomes of locally advanced breast cancer patients receiving neoadjuvant chemotherapy: an open-labelled randomized controlled trial. Sci Rep 2022; 12:7656. [PMID: 35538143 PMCID: PMC9091204 DOI: 10.1038/s41598-022-11138-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 04/19/2022] [Indexed: 12/20/2022] Open
Abstract
Recently, several clinical trials have attempted to find evidence that supports the anticancer use of metformin in breast cancer (BC) patients. The current study evaluates the anticancer activity of metformin in addition to neoadjuvant chemotherapy (NACT) in locally advanced BC patients. Additionally, we assess the safety and tolerability of this combination and its effect on the quality of life (QoL) of BC patients. Eighty non-diabetic female patients with proven locally advanced BC were randomized into two arms. The first arm received anthracycline/taxane-based NACT plus metformin. The second arm received anthracycline/taxane-based NACT only. Overall response rate (ORR), clinical complete response (cCr), pathological complete response (pCR), and breast conservative rate (BCR) were evaluated between both groups, and correlated with serum metformin concentration. ORR, cCr, pCR, and BCR increased non-significantly in the metformin group compared to the control group; 80.6% vs 68.4%, 27.8% vs 10.5%, 22.2% vs 10.5%, and 19.4% vs 13.2%, respectively. A trend towards cCR and pCR was associated with higher serum metformin concentrations. Metformin decreased the incidence of peripheral neuropathy, bone pain, and arthralgia, although worsened the gastrointestinal adverse events. Metformin combination with NACT has no effect on the QoL of BC patients. Metformin combination with NACT is safe, tolerable, and improves non-significantly the clinical and pathological tumor response of BC patients.
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Affiliation(s)
- Hadeer Ehab Barakat
- Department of Clinical Pharmacy, Faculty of Pharmacy, Ahram Canadian University, Giza, Egypt.
| | - Raghda R S Hussein
- Department of Clinical Pharmacy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt.,Department of Clinical Pharmacy, Faculty of Pharmacy, Modern University for Technology and Information, Cairo, Egypt
| | - Ahmed Abdullah Elberry
- Department of Pharmacy Practice, Batterjee Medical College, Pharmacy Program, Jeddah, Saudi Arabia.,Department of Clinical Pharmacology, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt
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26
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Xu B, Shen J, Zhang L, Zhao W, Wang L. HER2 protein expression level is positively associated with the efficacy of neoadjuvant systemic therapy in HER2-positive breast cancer. Pathol Res Pract 2022; 234:153900. [DOI: 10.1016/j.prp.2022.153900] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/02/2022] [Accepted: 04/14/2022] [Indexed: 02/07/2023]
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27
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Gene signatures in patients with early breast cancer and relapse despite pathologic complete response. NPJ Breast Cancer 2022; 8:42. [PMID: 35351903 PMCID: PMC8964729 DOI: 10.1038/s41523-022-00403-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/16/2022] [Indexed: 12/17/2022] Open
Abstract
A substantial minority of early breast cancer (EBC) patients relapse despite their tumors achieving pathologic complete response (pCR) after neoadjuvant therapy. We compared gene expression (BC360; nCounter® platform; NanoString) between primary tumors of patients with post-pCR relapse (N = 14) with: (i) matched recurrent tumors from same patient (intraindividual analysis); and (ii) primary tumors from matched controls with pCR and no relapse (N = 41; interindividual analysis). Intraindividual analysis showed lower estrogen receptor signaling signature expression in recurrent tumors versus primaries (logFC = −0.595; P = 0.022). Recurrent tumors in patients with distant metastases also exhibited reduced expression of immune-related expression parameters. In interindividual analyses, primary tumor major histocompatibility complex class II expression was lower versus controls in patients with any relapse (logFC = −0.819; P = 0.030) or distant relapse (logFC = −1.151; P = 0.013). Primaries with later distant relapse also had greater homologous recombination deficiency than controls (logFC = 0.649; P = 0.026). Although no associations remained statistically significant following adjustment for false discovery rate, our results show that transcriptomic analyses have potential for prognostic value and may help in selecting optimal treatment regimens for EBC at risk of relapse and warrant further investigation.
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28
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Li H, Liu RB, Long CM, Teng Y, Cheng L, Liu Y. Development and Validation of a New Multiparametric Random Survival Forest Predictive Model for Breast Cancer Recurrence with a Potential Benefit to Individual Outcomes. Cancer Manag Res 2022; 14:909-923. [PMID: 35256862 PMCID: PMC8898179 DOI: 10.2147/cmar.s346871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/27/2022] [Indexed: 12/24/2022] Open
Abstract
Purpose Breast cancer (BC) is a multi-factorial disease. Its individual prognosis varies; thus, individualized patient profiling is instrumental to improving BC management and individual outcomes. An economical, multiparametric, and practical model to predict BC recurrence is needed. Patients and Methods We retrospectively investigated the clinical data of BC patients treated at the Third Affiliated Hospital of Sun Yat-sen University and Liuzhou Women and Children’s Medical Center from January 2013 to December 2020. Random forest-recursive feature elimination (run by R caret package) was used to determine the best variable set, and the random survival forest method was used to develop a predictive model for BC recurrence. Results The training and validations sets included 623 and 151 patients, respectively. We selected 14 variables, the pathological (TNM) stage, gamma-glutamyl transpeptidase, total cholesterol, Ki-67, lymphocyte count, low-density lipoprotein, age, apolipoprotein B, high-density lipoprotein, globulin, neutrophil count to lymphocyte count ratio, alanine aminotransferase, triglyceride, and albumin to globulin ratio, using random survival forest (RSF)-recursive feature elimination. We developed a recurrence prediction model using RSF. Using area under the receiver operating characteristic curve and Kaplan–Meier survival analyses, the model performance was determined to be accurate. C-indexes were 0.997 and 0.936 for the training and validation sets, respectively. Conclusion The model could accurately predict BC recurrence. It aids clinicians in identifying high-risk patients and making treatment decisions for Breast cancer patients in China. This new multiparametric RSF model is instrumental for breast cancer recurrence prediction and potentially improves individual outcomes.
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Affiliation(s)
- Huan Li
- Department of Thyroid and Breast Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
| | - Ren-Bin Liu
- Department of Thyroid and Breast Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
| | - Chen-Meng Long
- Department of Breast Surgery, Liuzhou Women and Children’s Medical Center, Liuzhou, Guangxi, People’s Republic Of China
| | - Yuan Teng
- Department of Breast Surgery, Guangzhou Women and Children’s Medical Center, Guangzhou, Guangdong, People’s Republic of China
| | - Lin Cheng
- Department of Thyroid and Breast Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
| | - Yu Liu
- Department of Thyroid and Breast Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
- Correspondence: Yu Liu, Tel +8613560170809, Fax +86 20 85252154, Email
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29
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Van Bockstal MR, François A, Altinay S, Arnould L, Balkenhol M, Broeckx G, Burguès O, Colpaert C, Dedeurwaerdere F, Dessauvagie B, Duwel V, Floris G, Fox S, Gerosa C, Hastir D, Jaffer S, Kurpershoek E, Lacroix-Triki M, Laka A, Lambein K, MacGrogan GM, Marchio C, Martinez MDM, Nofech-Mozes S, Peeters D, Ravarino A, Reisenbichler E, Resetkova E, Sanati S, Schelfhout AM, Schelfhout V, Shaaban A, Sinke R, Stanciu-Pop CM, van Deurzen CHM, Van de Vijver KK, Van Rompuy AS, Vincent-Salomon A, Wen H, Wong S, Bouzin C, Galant C. Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with pathological complete response: the IVITA study. Mod Pathol 2021; 34:2130-2140. [PMID: 34218258 PMCID: PMC8595512 DOI: 10.1038/s41379-021-00865-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/21/2021] [Accepted: 06/21/2021] [Indexed: 12/11/2022]
Abstract
High stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative breast cancer (TNBC) are associated with pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). Histopathological assessment of sTILs in TNBC biopsies is characterized by substantial interobserver variability, but it is unknown whether this affects its association with pCR. Here, we aimed to investigate the degree of interobserver variability in an international study, and its impact on the relationship between sTILs and pCR. Forty pathologists assessed sTILs as a percentage in digitalized biopsy slides, originating from 41 TNBC patients who were treated with NAC followed by surgery. Pathological response was quantified by the MD Anderson Residual Cancer Burden (RCB) score. Intraclass correlation coefficients (ICCs) were calculated per pathologist duo and Bland-Altman plots were constructed. The relation between sTILs and pCR or RCB class was investigated. The ICCs ranged from -0.376 to 0.947 (mean: 0.659), indicating substantial interobserver variability. Nevertheless, high sTILs scores were significantly associated with pCR for 36 participants (90%), and with RCB class for eight participants (20%). Post hoc sTILs cutoffs at 20% and 40% resulted in variable associations with pCR. The sTILs in TNBC with RCB-II and RCB-III were intermediate to those of RCB-0 and RCB-I, with lowest sTILs observed in RCB-I. However, the limited number of RCB-I cases precludes any definite conclusions due to lack of power, and this observation therefore requires further investigation. In conclusion, sTILs are a robust marker for pCR at the group level. However, if sTILs are to be used to guide the NAC scheme for individual patients, the observed interobserver variability might substantially affect the chance of obtaining a pCR. Future studies should determine the 'ideal' sTILs threshold, and attempt to fine-tune the patient selection for sTILs-based de-escalation of NAC regimens. At present, there is insufficient evidence for robust and reproducible sTILs-guided therapeutic decisions.
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Affiliation(s)
- Mieke R. Van Bockstal
- Department of pathology, Cliniques universitaires Saint-Luc Bruxelles, Avenue Hippocrate 10, Woluwé-Saint-Lambert 1200, Belgium
| | - Aline François
- Department of pathology, Cliniques universitaires Saint-Luc Bruxelles, Avenue Hippocrate 10, Woluwé-Saint-Lambert 1200, Belgium
| | - Serdar Altinay
- Department of Pathology, University of Health Sciences, Bakirköy Dr. Sadi Konuk Health Application and Research Center, 34147 Istanbul, Turkey
| | - Laurent Arnould
- Département de Biologie et de Pathologie des Tumeurs, Centre George-François Leclerc, 1 Rue Pr. Marion, 21000 Dijon, France
| | - Maschenka Balkenhol
- Department of Pathology, Radboud University Medical Center, PO Box 9100, 6500, HB Nijmegen, The Netherlands
| | - Glenn Broeckx
- Department of Pathology, University Hospital Antwerp, Drie Eikenstraat 655, 2650 Edegem, Belgium
| | - Octavio Burguès
- Department of Pathology, Hospital Clínico Universitario de Valencia, Av. De Blasco Ibáñez 17, 46010 València, Valencia, Spain
| | - Cecile Colpaert
- Department of Pathology, AZ Turnhout Campus Sint-Jozef, Steenweg op Merksplas 44, 2300 Turnhout, Belgium
| | | | - Benjamin Dessauvagie
- Division of Pathology and Laboratory Medicine, Medical School, The University of Western Australia, Crawley, WA 6009, Australia,Anatomical Pathology, PathWest Laboratory Medicine WA, Perth, Australia
| | - Valérie Duwel
- Department of pathology, AZ Klina Brasschaat, Augustijnslei 100, 2930 Brasschaat, Belgium
| | - Giuseppe Floris
- Department of Pathology, University Hospitals Leuven, KU Leuven – University of Leuven, Herestraat 49, 3000 Leuven, Belgium,Department of Imaging and Pathology, Laboratory of Translational Cell & Tissue Research, KU Leuven – University of Leuven, Leuven, Belgium
| | - Stephen Fox
- Department of Pathology, Peter MacCallum Cancer Center and the University of Melbourne, Melbourne, Vic 3000, Australia
| | - Clara Gerosa
- Department of Pathology, University of Cagliari, AOU San Giovanni di Dio, Via Ospedale 54, 09124 Cagliari, Italy
| | - Delfyne Hastir
- Institute of Pathology, Lausanne University Hospital, Rue du Bugnon 25, CH-1011 Lausanne, Switzerland
| | - Shabnam Jaffer
- Department of Pathology, Mount Sinai Hospital and Icahn School of Medicine, New York, New York, NY10029 USA
| | | | - Magali Lacroix-Triki
- Department of Pathology, Gustave-Roussy Cancer Campus, 114 Rue Edouard-Vaillant, 94805 Villejuif, France
| | - Andoni Laka
- Department of Pathology, Clinique Notre-Dame de Grâce (CNDG), Chaussée de Nivelles 212, 6041 Gosselies, Belgium
| | - Kathleen Lambein
- Department of Pathology, AZ St Lucas Hospital, Groenebriel 1, 9000 Ghent, Belgium
| | - Gaëtan Marie MacGrogan
- Surgical Pathology Unit, Department of Pathobiology, Institut Bergonié, F-33076 Bordeaux, France
| | - Caterina Marchio
- Department of Medical Sciences, University of Turin, 10126 Torino, Italy,Pathology Unit, FPO-IRCCS, Candiolo Cancer Institute, Candiolo, Italy
| | | | - Sharon Nofech-Mozes
- Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Ontario, ON M4N 3M5, Canada
| | - Dieter Peeters
- Department of Pathology, AZ St Maarten, Liersesteenweg 435, 2800 Mechelen, Belgium,Histopathology, Imaging and Quantification Unit, HistoGeneX, Sint-Bavostraat 78, 2610 Antwerp, Belgium
| | - Alberto Ravarino
- Department of Pathology, University of Cagliari, AOU San Giovanni di Dio, Via Ospedale 54, 09124 Cagliari, Italy
| | - Emily Reisenbichler
- Department of Pathology, Yale School of Medicine, Yale New Haven Hospital, 310 Cedar Street, New Haven, CT06510, United States
| | - Erika Resetkova
- The University of Texas MD Anderson Cancer Center, Houston TX77030, Texas, USA
| | - Souzan Sanati
- Department of Pathology and Lab Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Rm8612, Los Angeles, CA90048, United States
| | - Anne-Marie Schelfhout
- Department of Pathology, Onze-Lieve-Vrouwziekenhuis Aalst, Moorselbaan 164, 9300 Aalst, Belgium
| | - Vera Schelfhout
- Department of Pathology, AZ St Maarten, Liersesteenweg 435, 2800 Mechelen, Belgium
| | - Abeer Shaaban
- Department of Cellular Pathology, Queen Elizabeth Hospital Birmingham, University of Birmingham, Birmingham B15 2GW, United Kingdom
| | - Renata Sinke
- Pathan BV, Kleiweg 500, 3045 PM Rotterdam, The Netherlands
| | - Claudia M Stanciu-Pop
- Department of Pathology, CHU UCL Namur, Site Godinne, Avenue Docteur G. Thérasse 1, 5530 Yvoir, Belgium
| | - Carolien HM van Deurzen
- Department of Pathology, Erasmus Medical Center Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Koen K Van de Vijver
- Department of Pathology, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium
| | - Anne-Sophie Van Rompuy
- Department of Pathology, University Hospitals Leuven, KU Leuven – University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Anne Vincent-Salomon
- Pôle de Médicine Diagnostique & Théranostique, INSERM U934, Institut Curie, 26 Rue d’Ulm, 75248 Paris Cedex 05, France
| | - Hannah Wen
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065
| | - Serena Wong
- Department of Pathology, Yale School of Medicine, Yale New Haven Hospital, 310 Cedar Street, New Haven, CT06510, United States
| | - Caroline Bouzin
- 2IP IREC Imaging Platform, Institute of Clinical and Experimental Research (IREC), Université catholique de Louvain, Avenue Hippocrate 55, 1200 Brussels, Belgium
| | - Christine Galant
- Department of pathology, Cliniques universitaires Saint-Luc Bruxelles, Avenue Hippocrate 10, Woluwé-Saint-Lambert 1200, Belgium,Institute of Clinical and Experimental Research (IREC), Université catholique de Louvain, Avenue Hippocrate 55, 1200 Brussels, Belgium
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Zhu M, Liang C, Zhang F, Zhu L, Chen D. A Nomogram to Predict Disease-Free Survival Following Neoadjuvant Chemotherapy for Triple Negative Breast Cancer. Front Oncol 2021; 11:690336. [PMID: 34745934 PMCID: PMC8566908 DOI: 10.3389/fonc.2021.690336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 10/05/2021] [Indexed: 12/15/2022] Open
Abstract
Background Neoadjuvant chemotherapy (NACT) is considered a standard treatment strategy for locally advanced triple negative breast cancer (TNBC). TNBC patients who achieve a pathologic complete response (pCR) are predicted to have a better prognosis while unfavorable chemo-sensitivity is still associated with a higher risk of disease relapse. The objective of this study was to construct a nomogram to predict disease-free survival (DFS) for TNBC patients following NACT. Methods A total of 165 TNBC patients who underwent standard NACT and surgery were retrospectively reviewed, and data on their clinicopathological factors before and after NACT were collected. Independent prognostic factors for DFS were identified by Cox regression based on lower Akaike information criteria (AIC) and Bayesian information criterion (BIC). A nomogram to predict the 2-year and 5-year DFS following NACT for TNBC was constructed based on training cohort (n = 132) and validated by a validation cohort (n = 33). Results Either limited or full pCR (breast-only pCR, node-only pCR, or both-pCR) indicated significantly improved DFS and overall survival (OS) (p < 0.001). Lager residual tumor size (hazard ratio [HR] 1.175, p = 0.011) and the presence of lymphatic vessel invasion (LVI) (HR 3.168, p = 0.001) were identified as independent predictors of disease relapse in the training cohort. Five variables, including age, primary tumor size, histological grade, residual tumor size, and LVI were used to establish the nomogram. The C-index of the nomogram was 0.815, and calibration curves showed an acceptable consistency between the actual and nomogram-predicted 2-year and 5-year DFS. The proposed nomogram demonstrated superior predictive performance compared with Residual Cancer Burden (RCB) classification and the 8th American Joint Committee on Cancer Post Neoadjuvant Therapy Classification (AJCC ypTNM) staging system (area under the curve [AUC] for 2-year DFS: 0.870 vs. 0.758 vs. 0.711, respectively; AUC for 5-year DFS: 0.794 vs. 0.731 vs. 0.702, respectively) in the validation cohort. Conclusions The nomogram proposed in our study enabled to quantify the risk of disease relapse and demonstrated superior predictive performance than a survival predict instrument. It was an easy-to-use tool for clinicians to guide individualized surveillance of TNBC patients following standard NACT.
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Affiliation(s)
- Meizhen Zhu
- Department of Breast Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Chenlu Liang
- Department of Breast Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Fanrong Zhang
- Department of Breast Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Liang Zhu
- Department of Pathology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Daobao Chen
- Department of Breast Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
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Sakaguchi A, Horimoto Y, Onagi H, Ikarashi D, Nakayama T, Nakatsura T, Shimizu H, Kojima K, Yao T, Matsumoto T, Ogura K, Kitano S. Plasma cell infiltration and treatment effect in breast cancer patients treated with neoadjuvant chemotherapy. Breast Cancer Res 2021; 23:99. [PMID: 34715905 PMCID: PMC8555250 DOI: 10.1186/s13058-021-01477-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/15/2021] [Indexed: 12/12/2022] Open
Abstract
Background Tumour-infiltrating lymphocyte (TIL)-high breast tumours have a high rate of pathological complete response (pCR) with neoadjuvant chemotherapy. In our routine pathological diagnoses of biopsy specimens from pCR cases, we have observed a high infiltration of plasma cells (PCs). A positive correlation of PCs with favourable patient outcome has recently been reported, but little is known about how PCs contribute to local tumour immunity. Methods We retrospectively examined biopsy specimens from 146 patients with invasive breast cancer who received neoadjuvant chemotherapy. CD138+ PC infiltration was assessed by immunohistochemistry. Multiplexed fluorescent immunohistochemistry (mfIHC) with T and B cell markers was also conducted to elucidate the profile of immune cells. Results Greater PC infiltration was observed in the pCR group (p = 0.028) and this trend was confirmed in another patient cohort. With mfIHC, we observed significantly more CD8+, T-bet+CD4+, and CD8+FOXP3+ T cells, total B cells and PCs in pCR cases. Such cases were also characterised by high expression of both PD-1 and PD-L1 on B cells and PCs. In patients with hormone receptor-negative tumours, high PC infiltration was correlated with significantly longer disease-free survival (p = 0.034). Conclusions We found that higher PC infiltration in biopsy specimens before neoadjuvant chemotherapy was associated with pCR. With mfIHC, we also revealed that the local cytotoxic immune response was clearly enhanced in pCR cases, as was the infiltration of B cells including PCs. Moreover, higher PC levels were correlated with favourable outcomes in hormone receptor-negative breast cancer patients. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01477-w.
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Affiliation(s)
- Asumi Sakaguchi
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, 3-1-10 Takanodai, Nerima-ku, Tokyo, 177-8521, Japan.,Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan
| | - Yoshiya Horimoto
- Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan. .,Department of Breast Oncology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
| | - Hiroko Onagi
- Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan
| | - Daiki Ikarashi
- Division of Cancer Immunotherapy, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center Hospital, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Takayuki Nakayama
- Division of Cancer Immunotherapy, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center Hospital, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Tetsuya Nakatsura
- Division of Cancer Immunotherapy, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center Hospital, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Hideo Shimizu
- Department of General Surgery, Juntendo University Nerima Hospital, 3-1-10 Takanodai, Nerima-ku, Tokyo, 177-8521, Japan
| | - Kuniaki Kojima
- Department of General Surgery, Juntendo University Nerima Hospital, 3-1-10 Takanodai, Nerima-ku, Tokyo, 177-8521, Japan
| | - Takashi Yao
- Department of Human Pathology, Juntendo University School of Medicine, Tokyo, Japan
| | - Toshiharu Matsumoto
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, 3-1-10 Takanodai, Nerima-ku, Tokyo, 177-8521, Japan
| | - Kanako Ogura
- Department of Diagnostic Pathology, Juntendo University Nerima Hospital, 3-1-10 Takanodai, Nerima-ku, Tokyo, 177-8521, Japan
| | - Shigehisa Kitano
- Division of Cancer Immunotherapy Development, Advanced Medical Development Center, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
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Kim JY, Oh JM, Park YH, Ahn JS, Im YH. Which Clinicopathologic Parameters Suggest Primary Resistance to Palbociclib in Combination With Letrozole as the First-Line Treatment for Hormone Receptor-Positive, HER2-Negative Advanced Breast Cancer? Front Oncol 2021; 11:759150. [PMID: 34745997 PMCID: PMC8566811 DOI: 10.3389/fonc.2021.759150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 09/27/2021] [Indexed: 01/12/2023] Open
Abstract
In this study, we evaluated clinical parameters to predict the primary resistance of palbociclib in combination with endocrine therapy as the first-line treatment in patients with hormone receptor (HR)+, human epidermal growth factor receptor 2 (HER2)- metastatic breast cancer (MBC). We performed a data analysis of patients diagnosed with HR+, HER2-MBC who received palbociclib plus letrozole as the first-line treatment in the metastatic setting from the clinical data warehouse in Samsung Medical Center. In this study, 305 patients were included in the final data analysis. The median follow-up duration was 31 months, and we observed 123 cases of disease progression. The median progression-free survival (PFS) was 28.7 months, and 38 patients (12.5%) had less than a 6-month PFS. The multivariate analysis suggested that primary resistance to adjuvant endocrine therapy (ET) (hazard ratio: 1.91), presence of liver metastasis (hazard ratio: 2.17), initial elevation of serum CA-15-3 (hazard ratio: 1.99), weak positivity of estrogen receptor (ER) (hazard ratio: 2.28), Ki-67 3+ or 4+ (hazard ratios: 2.58 and 10.28), and presence of mutation (hazard ratio: 9.59) were associated with a short PFS duration. A further prediction model was developed with data from 256 patients and 33 cases of disease progression in 6 months. This model included five factors-primary resistance to adjuvant ET (odds ratio, OR: 1.14), liver metastasis (OR: 1.56), initial CA-15-3 elevation (OR: 1.51), weak ER expression (OR: 2.22), and BRCA2 mutation (OR: 2.85)-and the area under the receiver operating characteristic curve was 0.842 (95% CI: 0.775, 0.909; p < 0.001). Finally, we divided them into four risk groups according to the prediction model with the five risk factors. These four groups had different PFS (p < 0.001) and primary resistance of palbociclib with letrozole [OR of group 2 vs. group 1 (ref): 2.18 (p = 0.002), OR of group 3: 3.91 (p < 0.001), and OR of group 4: 4.25 (p < 0.001)]. We developed a prediction model of primary resistance to palbociclib with letrozole as the first-line treatment for HR+, HER2-MBC. Our prediction model might be helpful for considering the first-line treatment strategies. Further well-designed clinical trials would be warranted to validate our prediction model.
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Affiliation(s)
- Ji-Yeon Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jung Min Oh
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yeon Hee Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jin Seok Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Young-Hyuck Im
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Davey MG, Lowery AJ, Miller N, Kerin MJ. MicroRNA Expression Profiles and Breast Cancer Chemotherapy. Int J Mol Sci 2021; 22:10812. [PMID: 34639152 PMCID: PMC8509379 DOI: 10.3390/ijms221910812] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 02/06/2023] Open
Abstract
Breast cancer is the most common malignancy diagnosed in women. Traditionally, radical surgical resection was the cornerstone of breast cancer management, with limited exceptions. In recent times, our enhanced appreciation of the biomolecular characteristics of breast cancer has transformed the treatment paradigm to include prescription of chemotherapeutical agents, radiotherapies, targeted therapies, as well as more refined surgical approaches. While treatments with such modalities have enhanced clinico-oncological outcomes for breast cancer patients, the efforts of oncological and translational research have concentrated on the identification of novel biomarkers which may successfully inform prognosis and response to therapies, improve current therapeutic strategies, and enhance prognostication. Mi(cro)RNAs are small, non-coding molecules which are known to play regulatory roles in governing gene expression and cellular activity. Measurement of miRNA expression profiles have been illustrated to inform the response to therapies, such as conventional chemotherapy, and are currently undergoing assessment as means of enhancing treatment strategies with these cytotoxic agents. Herein, this review outlines how chemotherapy prescription has revolutionised breast cancer treatment and illustrates the novel role of miRNAs as biomarkers capable of enhancing current therapeutic strategies using chemotherapy in patients being treated with curative intent for breast cancer.
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Affiliation(s)
- Matthew G. Davey
- Department of Surgery, The Lambe Institute for Translational Research, National University of Ireland, Galway, H91 YR71 Galway, Ireland; (A.J.L.); (N.M.); (M.J.K.)
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de Gregorio A, Friedl TWP, Hering E, Widschwendter P, de Gregorio N, Bekes I, Janni W, Dayan D, Huober JB. Ki67 as Proliferative Marker in Patients with Early Breast Cancer and Its Association with Clinicopathological Factors. Oncology 2021; 99:780-789. [PMID: 34535596 DOI: 10.1159/000517490] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/26/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Ki67 as a proliferative marker has prognostic and therapeutic relevance in early breast cancer (EBC). However, standard cutoffs for distinguishing low and high Ki67 do not exist. MATERIAL AND METHODS Data from all patients treated at the University Hospital Ulm for EBC between January 2013 and December 2015 with documented results for internal Ki67 assessment of the primary (n = 917) tumor were retrospectively analyzed evaluating the associations between Ki67 and other clinicopathological factors. RESULTS 595 (64.9%) patients had a Ki67 <20% and 322 (35.1%) a Ki67 ≥20%. The median Ki67 was 10% (range 1-90%). Median Ki67 values according to the hormone receptor (HR)/ human epidermal growth factor receptor 2 (HER2) subtypes were 10% for HR-positive/HER2 negative (HR+/HER2-) disease (n = 717), 20% for HR+/HER2+ (n = 76), 30% for HR-/HER2+ (n = 45), and 60% for HR-/HER2- (n = 75). 75.2% or 89.3% of all patients with HER2-positive or triple-negative disease had a Ki67 ≥20%, respectively. Using a multivariable logistic regression with Ki67 (<20% vs. ≥20%) as binary dependent variable, younger age, positive nodal status, higher grading, histological nonspecific type carcinoma, negative HR status, and positive HER2 status were shown to be significantly associated with a higher proliferative index (Ki67 ≥20%). CONCLUSION This analysis described Ki67 in different subtypes in EBC and its association with clinicopathological factors. According to more aggressive tumor biology, the respective subgroups also showed higher median Ki67 levels. However, definition of low and high proliferation index itself is difficult. It is essential to interpret Ki67 indices carefully with regard to the own institutional values and other clinicopathological factors.
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Affiliation(s)
- Amelie de Gregorio
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | | | | | - Peter Widschwendter
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany.,Department of Gynecology and Obstetrics, Landeskrankenhaus Hall, Hall in Tirol, Austria
| | | | - Inga Bekes
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany.,Breast Cancer Center St. Gallen, St. Gallen, Switzerland
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Davut Dayan
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Jens Bodo Huober
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany.,Breast Cancer Center St. Gallen, St. Gallen, Switzerland
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Wajid S, Samad FA, Syed AS, Kazi F. Ki-67 and Its Relation With Complete Pathological Response in Patients With Breast Cancer. Cureus 2021; 13:e16788. [PMID: 34513395 PMCID: PMC8412210 DOI: 10.7759/cureus.16788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/31/2021] [Indexed: 11/17/2022] Open
Abstract
Introduction Ki-67 is a nuclear antigen present in the synthesis phase of the cell cycle. Studies have shown that a high value of Ki-67 results in greater response to chemotherapy with higher incidence of complete pathological response, which ultimately results in improved overall survival. Methods and materials The objective of the study was to determine the frequency of high Ki-67 levels in breast cancer patients and to find the correlation of complete pathological response in breast cancer with Ki-67 levels. It is a descriptive case series with a correlational study design done at Fauji Foundation Hospital Rawalpindi. Eighty patients with locally advanced breast cancer who underwent neoadjuvant chemotherapy followed by surgery were recruited. Their Ki-67 levels were determined on trucut biopsy. Pathological response in the post-op sample was correlated with Ki-67 levels. Results The results showed 27 (33%) patients out of the 80 had high Ki-67 values. Among them 17 (63%) had complete pathological response, seven (26%) showed partial pathological response whereas three (11%) had disease progression. In contrast, out of the 53 patients having low Ki-67 values, only nine (17%) had complete pathological response, 31 (58%) showed partial pathological response and 13 (25%) had progressive disease. A Chi-square test was applied which showed significant correlation between Ki-67 and complete pathological response, with a p value of 0.00018. Conclusion Therefore high Ki-67 values in patients with breast cancer correlated well with attainment of complete pathological response. We can incorporate Ki-67 in the initial clinical assessment of breast cancer patients to help predict effectiveness as well as response to chemotherapy.
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Affiliation(s)
- Sana Wajid
- Oncology, Fauji Foundation Hospital, Rawalpindi, PAK
| | | | - Abdus S Syed
- Department of Radiation Oncology, Combined Military Hospital, Rawalpindi, PAK
| | - Faiza Kazi
- Pathology, Fauji Foundation Hospital, Rawalpindi, PAK
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Gouri A, Benarba B, Dekaken A, Aoures H, Benharkat S. Prediction of Late Recurrence and Distant Metastasis in Early-stage Breast Cancer: Overview of Current and Emerging Biomarkers. Curr Drug Targets 2021; 21:1008-1025. [PMID: 32164510 DOI: 10.2174/1389450121666200312105908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 01/08/2020] [Accepted: 01/14/2020] [Indexed: 12/13/2022]
Abstract
Recently, a significant number of breast cancer (BC) patients have been diagnosed at an early stage. It is therefore critical to accurately predict the risk of recurrence and distant metastasis for better management of BC in this setting. Clinicopathologic patterns, particularly lymph node status, tumor size, and hormonal receptor status are routinely used to identify women at increased risk of recurrence. However, these factors have limitations regarding their predictive ability for late metastasis risk in patients with early BC. Emerging molecular signatures using gene expression-based approaches have improved the prognostic and predictive accuracy for this indication. However, the use of their based-scores for risk assessment has provided contradictory findings. Therefore, developing and using newly emerged alternative predictive and prognostic biomarkers for identifying patients at high- and low-risk is of great importance. The present review discusses some serum biomarkers and multigene profiling scores for predicting late recurrence and distant metastasis in early-stage BC based on recently published studies and clinical trials.
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Affiliation(s)
- A Gouri
- Laboratory of Medical Biochemistry, Faculty of Medicine, University of Annaba, Algeria
| | - B Benarba
- Laboratory Research on Biological Systems and Geomatics, Faculty of Nature and Life Sciences, University of Mascara, Algeria
| | - A Dekaken
- Department of Internal Medicine, El Okbi Public Hospital, Guelma, Algeria
| | - H Aoures
- Department of Gynecology and Obstetrics, EHS El Bouni, Annaba, Algeria
| | - S Benharkat
- Laboratory of Medical Biochemistry, Faculty of Medicine, University of Annaba, Algeria
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Hussain L, Huang P, Nguyen T, Lone KJ, Ali A, Khan MS, Li H, Suh DY, Duong TQ. Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response. Biomed Eng Online 2021; 20:63. [PMID: 34183038 PMCID: PMC8240261 DOI: 10.1186/s12938-021-00899-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 06/09/2021] [Indexed: 12/02/2022] Open
Abstract
Purpose This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict eventual pathological complete response (PCR) to neoadjuvant chemotherapy. Materials and method This study employed a subset of patients (N = 166) with PCR data from the I-SPY-1 TRIAL (2002–2006). This cohort consisted of patients with stage 2 or 3 breast cancer that underwent anthracycline–cyclophosphamide and taxane treatment. Magnetic resonance imaging (MRI) was acquired pre-neoadjuvant chemotherapy, early, and mid-treatment. Texture features were extracted from post-contrast-enhanced MRI, pre- and post-contrast subtraction images, and with morphological dilation to include peri-tumoral tissue. Molecular subtypes and Ki67 were also included in the prediction model. Performance of classification models used the receiver operating characteristics curve analysis including area under the curve (AUC). Statistical analysis was done using unpaired two-tailed t-tests. Results Molecular subtypes alone yielded moderate prediction performance of PCR (AUC = 0.82, p = 0.07). Pre-, early, and mid-treatment data alone yielded moderate performance (AUC = 0.88, 0.72, and 0.78, p = 0.03, 0.13, 0.44, respectively). The combined pre- and early treatment data markedly improved performance (AUC = 0.96, p = 0.0003). Addition of molecular subtypes improved performance slightly for individual time points but substantially for the combined pre- and early treatment (AUC = 0.98, p = 0.0003). The optimal morphological dilation was 3–5 pixels. Subtraction of post- and pre-contrast MRI further improved performance (AUC = 0.98, p = 0.00003). Finally, among the machine-learning algorithms evaluated, the RUSBoosted Tree machine-learning method yielded the highest performance. Conclusion AI-classification of texture features from MRI of breast tumor at multiple treatment time points accurately predicts eventual PCR. Longitudinal changes in texture features and peri-tumoral features further improve PCR prediction performance. Accurate assessment of treatment efficacy early on could minimize unnecessary toxic chemotherapy and enable mid-treatment modification for patients to achieve better clinical outcomes.
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Affiliation(s)
- Lal Hussain
- Department of Computer Science & IT, Neelum Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.,Department of Computer Science & IT, King Abdullah Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.,Department of Radiology, Renaissance School of Medicine At Stony, Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA.,Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA
| | - Pauline Huang
- Department of Radiology, Renaissance School of Medicine At Stony, Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Tony Nguyen
- Department of Radiology, Renaissance School of Medicine At Stony, Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Kashif J Lone
- Department of Computer Science & IT, King Abdullah Campus, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan
| | - Amjad Ali
- Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
| | - Muhammad Salman Khan
- Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
| | - Haifang Li
- Department of Radiology, Renaissance School of Medicine At Stony, Brook University, 101 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Doug Young Suh
- College of Electronics and Convergence Engineering, Kyung Hee University, Seoul, South Korea.
| | - Tim Q Duong
- Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA
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Mohamadien NRA, Sayed MHM. Correlation between semiquantitative and volumetric 18F-FDG PET/computed tomography parameters and Ki-67 expression in breast cancer. Nucl Med Commun 2021; 42:656-664. [PMID: 33560720 DOI: 10.1097/mnm.0000000000001376] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To evaluate the relationship between semiquantitative and volumetric parameters on 18F-FDG PET/computed tomography (CT), including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), tumor to liver ratio (TLR) and tumor to mediastinum ratio (TMR) with the level of Ki-67 expression in breast cancer. PATIENT AND METHODS We retrospectively reviewed 105 female patients with newly diagnosed breast cancer who underwent baseline 18F-FDG PET/CT and had immunohistochemical staining to determine the level of Ki-67 expression. The following PET parameters were measured (SUVmax, SUVmean, MTV, TLG, TLR and TMR) and correlated with level of Ki-67 expression. RESULTS Significant moderate positive correlations were found between the PET parameters (primary SUVmax, SUVmean, TLG, TLR and TMR) and level of Ki-67 expression. The primary SUVmax had the highest correlation coefficient (r = 0.461) followed by TMR (r = 0.455) and P value of <0.001 for both. In ROC analysis, primary SUVmax had the largest area under the curve (0.806, P = 0.0001), with sensitivity of 76.5 % and specificity of 75% for prediction of high Ki-67 level. In univariate analysis, all PET parameters, patient age, tumor grade, molecular subtype, estrogen receptor and progesterone receptor status were significantly associated with Ki-67 level. In multivariate regression analysis, only tumor grade [odds ratio (OR) = 20.460, 95% confidence interval (CI): 11.360-29.559, P = <0.0001], molecular subtype (OR = -21.894, 95% CI: -37.921 to -5.866, P = 0.008), SUVmax (OR = 2.299, 95% CI: 0.703-3.895, P = 0.005) and TLR (OR = -4.908, 95% CI: -9.476 to -0.340, P = 0.035) were found to be the strongest independent predictor factors for the level of Ki-67 expression and hence proliferative activity of malignant cells in breast cancer. CONCLUSION The semiquantitative parameters and volumetric 18F-FDG PET/CT parameter, that is, TLG correlated well with proliferation marker Ki-67 in breast cancer. 18F-FDG PET/CT imaging can be used as a useful noninvasive diagnostic tool in imaging cellular proliferation and hence may substitute for in vitro testing of molecular markers in the diagnoses and staging of breast cancer.
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Affiliation(s)
- Nsreen R A Mohamadien
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine. Assiut University, Assiut, Egypt
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Erices-Leclercq M, Lubig S, Förster F, Förster R, Baldus S, Rudlowski C, Schröder L. Prognostic relevance of Ki67 expression in primary male breast cancer: determination of cut-off points by different evaluation methods and statistical examinations. J Cancer Res Clin Oncol 2021; 148:441-447. [PMID: 33991247 DOI: 10.1007/s00432-021-03623-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 03/29/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE 1% of all breast cancer cases occur in men. There are significant differences regarding clinical behaviour and genetic profiles between female (FBC) and male breast cancer (MBC). Parameters for decision-making on treatment and prognosis are derived from FBC. Ki67 has a high value as a prognostic and predictive factor in FBC, but accurate Ki67 cut-off points for MBC are missing. In this study, we aimed to evaluate adequate examination methods and reliable cut-off points for Ki67 to assess the highest prognostic value for patient's overall survival (OS). METHODS In this multicentric retrospective study, histological specimens were obtained from 104 male patients who were diagnosed and treated for primary invasive breast cancer. We applied three methods of Ki67 analysis: Tumor average scoring (TA), tumor border scoring (TB) and hot-spot scoring (HS). Calculated Ki67 cut-off points for each method were assessed as a threshold for patients' overall survival (OS). RESULTS Ki67 cut-off points were 13.5 for the TA group, 22.5 for the HS group and 17.5 for the TB group. Only Ki67 TA cut-off calculations demonstrated statistical significance (p = 0.04). Ki67 expression analysis of TA showed that more than 90% of patients with low Ki67 levels (< 13.5) were alive after 5-year follow-up. CONCLUSION Our findings demonstrate that determination of Ki67 expression in TA is the most reliable to define a cut-off point with high prognostic value. A Ki67 cut-off point of 13.5 shows highest statistical power to define luminal A subgroup and OS.
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Affiliation(s)
- Melanie Erices-Leclercq
- Department of Breast Cancer, Lutherian Hospital, Ferrenbergstr.24, 51465, Bergisch Gladbach, Germany
| | - Sabine Lubig
- Department of Breast Cancer, Lutherian Hospital, Ferrenbergstr.24, 51465, Bergisch Gladbach, Germany
| | - Frank Förster
- Department of Economical Sciences, University of Applied Sciences, Zwickau, Germany.,Outpatient Department of Gynecological Oncology and Palliative Care, Poliklinik GmbH, Chemnitz, Germany
| | - Robert Förster
- Institute for Radiation Oncology, Cantonal Hospital Winterthur, Winterthur, Switzerland.,Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Stefan Baldus
- Institute for Pathology, Cytology and Molecular Pathology, Bergisch Gladbach, Germany
| | - Christian Rudlowski
- Department of Breast Cancer, Lutherian Hospital, Ferrenbergstr.24, 51465, Bergisch Gladbach, Germany. .,Medical Faculty, University Hospital Bonn, Bonn, Germany.
| | - Lars Schröder
- Department of Obstetrics and Gynecology, Medical Faculty, University Hospital Cologne, Cologne, Germany
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40
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Zhang J, Xiao L, Pu S, Liu Y, He J, Wang K. Can We Reliably Identify the Pathological Outcomes of Neoadjuvant Chemotherapy in Patients with Breast Cancer? Development and Validation of a Logistic Regression Nomogram Based on Preoperative Factors. Ann Surg Oncol 2021; 28:2632-2645. [PMID: 33095360 PMCID: PMC8043913 DOI: 10.1245/s10434-020-09214-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 09/16/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Pathological responses of neoadjuvant chemotherapy (NCT) are associated with survival outcomes in patients with breast cancer. Previous studies constructed models using out-of-date variables to predict pathological outcomes, and lacked external validation, making them unsuitable to guide current clinical practice. OBJECTIVE The aim of this study was to develop and validate a nomogram to predict the objective remission rate (ORR) of NCT based on pretreatment clinicopathological variables. METHODS Data from 110 patients with breast cancer who received NCT were used to establish and calibrate a nomogram for pathological outcomes based on multivariate logistic regression. The predictive performance of this model was further validated using a second cohort of 55 patients with breast cancer. Discrimination of the prediction model was assessed using an area under the receiver operating characteristic curve (AUC), and calibration was assessed using calibration plots. The diagnostic odds ratio (DOR) was calculated to further evaluate the performance of the nomogram and determine the optimal cut-off value. RESULTS The final multivariate regression model included age, NCT cycles, estrogen receptor, human epidermal growth factor receptor 2 (HER2), and lymphovascular invasion. A nomogram was developed as a graphical representation of the model and showed good calibration and discrimination in both sets (an AUC of 0.864 and 0.750 for the training and validation cohorts, respectively). Finally, according to the Youden index and DORs, we assigned an optimal ORR cut-off value of 0.646. CONCLUSION We developed a nomogram to predict the ORR of NCT in patients with breast cancer. Using the nomogram, for patients who are operable and whose ORR is < 0.646, we believe that the benefits of NCT are limited and these patients can be treated directly using surgery.
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Affiliation(s)
- Jian Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, China
| | - Linhai Xiao
- School of Public Health, Fudan University, No. 130 Dong'an Road, Shanghai, 200032, China
| | - Shengyu Pu
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, China
| | - Yang Liu
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, China
| | - Jianjun He
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, China.
| | - Ke Wang
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, China.
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Janeva S, Parris TZ, Nasic S, De Lara S, Larsson K, Audisio RA, Olofsson Bagge R, Kovács A. Comparison of breast cancer surrogate subtyping using a closed-system RT-qPCR breast cancer assay and immunohistochemistry on 100 core needle biopsies with matching surgical specimens. BMC Cancer 2021; 21:439. [PMID: 33879115 PMCID: PMC8059293 DOI: 10.1186/s12885-021-08171-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 04/09/2021] [Indexed: 01/22/2023] Open
Abstract
Background Routine clinical management of breast cancer (BC) currently depends on surrogate subtypes according to estrogen- (ER) and progesterone (PR) receptor, Ki-67, and HER2-status. However, there has been growing demand for reduced immunohistochemistry (IHC) turnaround times. The Xpert® Breast Cancer STRAT4* Assay (STRAT4)*, a standardized test for ESR1/PGR/MKi67/ERBB2 mRNA biomarker assessment, takes less than 2 hours. Here, we compared the concordance between the STRAT4 and IHC/SISH, thereby evaluating the effect of method choice on surrogate subtype assessment and adjuvant treatment decisions. Methods In total, 100 formalin-fixed paraffin-embedded core needle biopsy (CNB) samples and matching surgical specimens for 98 patients with primary invasive BC were evaluated using the STRAT4 assay. The concordance between STRAT4 and IHC was calculated for individual markers for the CNB and surgical specimens. In addition, we investigated whether changes in surrogate BC subtyping based on the STRAT4 results would change adjuvant treatment recommendations. Results The overall percent agreement (OPA) between STRAT4 and IHC/SISH ranged between 76 and 99% for the different biomarkers. Concordance for all four biomarkers in the surgical specimens and CNBs was only 66 and 57%, respectively. In total, 74% of surgical specimens were concordant for subtype, regardless of the method used. IHC- and STRAT4-based subtyping for the surgical specimen were shown to be discordant for 25/98 patients and 18/25 patients would theoretically have been recommended a different adjuvant treatment, primarily receiving more chemotherapy and trastuzumab. Conclusions A comparison of data from IHC/in situ hybridization and STRAT4 demonstrated that subsequent changes in surrogate subtyping for the surgical specimen may theoretically result in more adjuvant treatment given, primarily with chemotherapy and trastuzumab.
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Affiliation(s)
- Slavica Janeva
- Sahlgrenska Breast Center, Department of Surgery, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden. .,Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Toshima Z Parris
- Institute of Clinical Sciences, Department of Oncology, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Salmir Nasic
- Research and Development Centre, Skaraborg Hospital, Skövde, Sweden
| | - Shahin De Lara
- Department of Clinical Pathology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Karolina Larsson
- Department of Oncology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Riccardo A Audisio
- Sahlgrenska Breast Center, Department of Surgery, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.,Institute of Clinical Sciences, Department of Surgery, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Roger Olofsson Bagge
- Sahlgrenska Breast Center, Department of Surgery, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.,Institute of Clinical Sciences, Department of Surgery, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Anikó Kovács
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Pathology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
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42
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Matikas A, Wang K, Lagoudaki E, Acs B, Zerdes I, Hartman J, Azavedo E, Bjöhle J, Carlsson L, Einbeigi Z, Hedenfalk I, Hellström M, Lekberg T, Loman N, Saracco A, von Wachenfeldt A, Rotstein S, Bergqvist M, Bergh J, Hatschek T, Foukakis T. Prognostic role of serum thymidine kinase 1 kinetics during neoadjuvant chemotherapy for early breast cancer. ESMO Open 2021; 6:100076. [PMID: 33714010 PMCID: PMC7957142 DOI: 10.1016/j.esmoop.2021.100076] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 01/24/2021] [Accepted: 02/08/2021] [Indexed: 11/30/2022] Open
Abstract
Background Emerging data support the use of thymidine kinase 1 (TK1) activity as a prognostic marker and for monitoring of response in breast cancer (BC). The long-term prognostic value of TK1 kinetics during neoadjuvant chemotherapy is unclear, which this study aimed to elucidate. Methods Material from patients enrolled to the single-arm prospective PROMIX trial of neoadjuvant epirubicin, docetaxel and bevacizumab for early BC was used. Ki67 in baseline biopsies was assessed both centrally and by automated digital imaging analysis. TK1 activity was measured from blood samples obtained at baseline and following two cycles of chemotherapy. The associations of TK1 and its kinetics as well as Ki67 with event-free survival and overall survival (OS) were evaluated using multivariable Cox regression models. Results Central Ki67 counting had excellent correlation with the results of digital image analysis (r = 0.814), but not with the diagnostic samples (r = 0.234), while it was independently prognostic for worse OS [adjusted hazard ratio (HRadj) = 2.72, 95% confidence interval (CI) 1.19-6.21, P = 0.02]. Greater increase in TK1 activity after two cycles of chemotherapy resulted in improved event-free survival (HRadj = 0.50, 95% CI 0.26-0.97, P = 0.04) and OS (HRadj = 0.46, 95% CI 0.95, P = 0.04). There was significant interaction between the prognostic value of TK1 kinetics and Ki67 (pinteraction 0.04). Conclusion Serial measurement of serum TK1 activity during neoadjuvant chemotherapy provides long-term prognostic information in BC patients. The ease of obtaining serial samples for TK1 assessment motivates further evaluation in larger studies. This is a correlative analysis of a prospective phase II study on neoadjuvant chemotherapy for breast cancer. Serial measurement of serum TK1 activity during treatment provides independent long-term prognostic information. We demonstrate the validity and clinical utility of both central and automated image analysis-based Ki67 assessment. Finally, we explore the biologic correlations between TK1 and Ki67.
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Affiliation(s)
- A Matikas
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden.
| | - K Wang
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - E Lagoudaki
- Pathology Department, University Hospital of Heraklion, Heraklion, Greece
| | - B Acs
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, Sweden
| | - I Zerdes
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - J Hartman
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, Sweden
| | - E Azavedo
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - J Bjöhle
- Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - L Carlsson
- Department of Oncology, Sundsvall General Hospital, Sundsvall, Sweden
| | - Z Einbeigi
- Department of Medicine and Department of Oncology, Southern Älvsborg Hospital, Borås, Sweden; Institute of Clinical Sciences, Sahlgrenska Academy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - I Hedenfalk
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - M Hellström
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - T Lekberg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - N Loman
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Department of Hematology, Oncology and Radiation Physics Skåne University Hospital, Lund, Sweden
| | - A Saracco
- Breast Center, Södersjukhuset, Stockholm, Sweden
| | - A von Wachenfeldt
- Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden
| | - S Rotstein
- Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - M Bergqvist
- Biovica International, Uppsala Science Park, Uppsala, Sweden
| | - J Bergh
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - T Hatschek
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - T Foukakis
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
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Torrisi R, Marrazzo E, Agostinetto E, De Sanctis R, Losurdo A, Masci G, Tinterri C, Santoro A. Neoadjuvant chemotherapy in hormone receptor-positive/HER2-negative early breast cancer: When, why and what? Crit Rev Oncol Hematol 2021; 160:103280. [PMID: 33667658 DOI: 10.1016/j.critrevonc.2021.103280] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 02/17/2021] [Accepted: 02/27/2021] [Indexed: 12/13/2022] Open
Abstract
Indication for neoadjuvant chemotherapy (NACT) in HR+/HER2-negative tumors is controversial. Pathological complete response (pCR) rates range from 0 to 18 % while breast-conserving surgery (BCS) is achievable in up to 60 % of tumors. No pathological feature definitely predicts pCR; lobular and molecular luminal A tumors are less likely to achieve pCR although experiencing better outcomes. Luminal B subtype, high proliferation, lack of progesterone receptor, high tumor-infiltrating lymphocytes are positively associated with increased pCR rates but worse outcomes and the prognostic role of pCR is inconsistent across studies. Molecular intrinsic subtyping and genomic signatures appear as more accurate predictors of benefit from NACT, but larger studies are needed. Anthracycline and taxane-based chemotherapy remains the standard NACT; however, CDK 4/6 inhibitors and immune checkpoint inhibitors are under evaluation. In conclusion, NACT may be proposed for luminal tumors requiring downsizing for BCS after multidisciplinary evaluation, provided that other contraindications to BCS are excluded.
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Affiliation(s)
- Rosalba Torrisi
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy.
| | - Emilia Marrazzo
- IRCCS Humanitas Research Hospital, Breast Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy
| | - Elisa Agostinetto
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy; Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20090, Italy
| | - Rita De Sanctis
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy; Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20090, Italy
| | - Agnese Losurdo
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy
| | - Giovanna Masci
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy
| | - Corrado Tinterri
- IRCCS Humanitas Research Hospital, Breast Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy
| | - Armando Santoro
- IRCCS Humanitas Research Hospital, Dept of Medical Oncology and Hematology Unit, via Manzoni 56, Rozzano, Milan, 20089, Italy; Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, Pieve Emanuele, Milan, 20090, Italy
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van den Berg EJ, Duarte R, Dickens C, Joffe M, Mohanlal R. Ki67 Immunohistochemistry Quantification in Breast Carcinoma: A Comparison of Visual Estimation, Counting, and ImmunoRatio. Appl Immunohistochem Mol Morphol 2021; 29:105-111. [PMID: 32590453 PMCID: PMC7755692 DOI: 10.1097/pai.0000000000000864] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/27/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Molecular analysis has shown that breast carcinomas can be classified into several intrinsic subtypes, with implications for management and prognosis. In the majority of pathology laboratories molecular analysis of each case is not possible and immunohistochemistry is used for subtyping. This includes analysis of hormone receptors as well as HER2-neu and Ki67. The methodology for the interpretation of the proliferation index using Ki67 remains an area of uncertainty. We investigated the degree of agreement between different methods of Ki67 interpretation. MATERIALS AND METHODS We analyzed 204 breast core biopsies diagnostic of breast carcinoma using visual estimation/eyeballing (EB), ImmunoRatio, and counting by 2 pathologists (CP1 and CP2). The correlation between the different methods and the interobserver agreement between the 2 pathologists was assessed. Specific analysis was also done with respect to classification of cases into low Ki67 groups (using Ki67 values<14% and <20%) since this is critical in classifying tumors into luminal A and luminal B subtypes. RESULTS Correlation between the different methods was best achieved comparing ImmunoRatio and CP1, and worst comparing CP1 and EB. Correlation was better when considering interobserver variability (CP1 vs. CP2). Comparing the number of cases classified as low Ki67 (<14% and <20%) the Cohen κ statistic varied from κ=0.267 to 0.814 with different methods. When limiting the analysis to cases with a Ki67 of 10% to 25% according to any method, there was greater disagreement. CONCLUSIONS At the higher and lower Ki67 levels, the correlation between the methods of assessment was acceptable, however, at levels close to the cut-off values for lumial A versus luminal B, several patients would be differently classified by the different methods and therefore potentially receive suboptimal management.
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Affiliation(s)
- Eunice J van den Berg
- Department of Histopathology, National Health Laboratory Service
- Departments of Anatomical Pathology
| | | | | | - Maureen Joffe
- Chris Hani Baragwanath Academic Hospital Breast Clinic, Johannesburg, South Africa
| | - Reena Mohanlal
- Department of Histopathology, National Health Laboratory Service
- Departments of Anatomical Pathology
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Morales Murillo S, Gasol Cudos A, Veas Rodriguez J, Canosa Morales C, Melé Olivé J, Vilardell Villellas F, Sanchez Guzman DR, Iglesias Martínez E, Salud Salvia A. Selection of neoadjuvant treatment based on the 21-GENE test results in luminal breast cancer. Breast 2021; 56:35-41. [PMID: 33601299 PMCID: PMC7900764 DOI: 10.1016/j.breast.2021.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 01/07/2021] [Accepted: 01/11/2021] [Indexed: 12/24/2022] Open
Abstract
Neoadjuvant chemotherapy (NAC) is an optimal option in early breast cancer, but in ER-positive/HER2-negative (luminal) is still controversial, although a survival benefit has recently been observed when a histological response by Symmans’ method type 0 or I is achieved. The 21-gene Oncotype DX Breast Recurrence Score® assay (Oncotype DX®) is a validated test to assess the survival benefit of adjuvant chemotherapy in these patients but its role in the neoadjuvant setting is less established. We analyzed the results of the Oncotype DX® test in a cohort of 122 consecutive patients selected to receive NAC based on classical clinicopathological parameters and the correlation between the Oncotype DX® results and the pathological response assessed by Symmans’ method. Median age was 56.5 (range 31–84) years. Initial tumor size was T1 (<20 mm) in 46 patients (37.7%), 57 (46.7%) had a T2 tumor (20–50 mm), and 19 (15.6%) had a tumor size more than 50 mm. 59 (48.4%) had axillary node involvement. The median expression estrogen and progesteron receptors by immunohistochemistry was 280 and 120 respectively and median Ki67 index was 28%. The Recurrence Score (RS) results were <11 in 21 patients (17.2%) patients, RS 11 to 25 in 58 (47.5%), and RS > 25 in 43 (35.2%). Considering the Oncotype DX test results, neoadjuvant chemotherapy was administered to 60 patients (49%), 11 (9%) received adjuvant chemotherapy and 51 (42%) no chemotherapy. Testing with the assay has therefore led to 42% fewer chemotherapy treatments. Among 60 patients receiving NAC, pathologic response was achieved for 5 patients (8.3%) with RCB-0 and 15 RCB-1 (25%). We did not find any pathological response RCB-0 and RCB-I in the 20 patients who received NAC and had a Recurrence Score result <21 for the premenopausal group, or a RS result <25 for the postmenopausal group. For patients with highest Recurrence Score results (RS > 21 or 25 according to menopausal status) it was 12% (5/40) RCB-0 and 40% (16/40) RCB-I. Conclusions The Oncotype DX test could be a useful tool to select patients candidates for neoadjuvant chemotherapy in luminal breast cancer. Neoadjuvant chemotherapy could be avoided in 42% of patients. We found a correlation between Recurrence Score results and pathological response with 14% of RCB-0 and a total of 47% of significant pathological response type RCB-0 and RCB-I in patients with highest Recurrence Score results. Interestingly, patients with a Recurrence Score result inferior to 32 did not get any histological response type 0 and only 5% RCB-I. All comments are reviewed in the main manuscript text. We have introduced changes in tables and Figures according Editor′s comments. It is an academic study and we don′t received any founding and we appreciate all patients who participated.
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Affiliation(s)
- Serafin Morales Murillo
- Oncology Department of Hospital, Arnau de Vilanova de Lleida, Avenida Rovira Roure 80, 25198, Lleida, Spain.
| | - Ariadna Gasol Cudos
- Oncology Department of Hospital, Arnau de Vilanova de Lleida, Avenida Rovira Roure 80, 25198, Lleida, Spain.
| | - Joel Veas Rodriguez
- Oncology Department of Hospital, Arnau de Vilanova de Lleida, Avenida Rovira Roure 80, 25198, Lleida, Spain.
| | | | | | | | | | | | - Antonieta Salud Salvia
- Oncology Department of Hospital, Arnau de Vilanova de Lleida, Avenida Rovira Roure 80, 25198, Lleida, Spain.
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Nakajima H, Maeno K, Ito T, Kanai T, Oba T, Ono M, Takayama F, Uehara T, Ito KI. Concomitant use of 18F-FDG PET-CT SUVmax is useful in the assessment of Ki67 labeling index in core-needle biopsy specimens of breast cancer. Gland Surg 2021; 10:1-9. [PMID: 33633957 DOI: 10.21037/gs-20-485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background Ki67 is a recognized proliferative and predictive marker in invasive breast cancer. However, results of Ki67 evaluation are affected by the method employed for sample fixation or biopsy, as well as by intratumor heterogeneity. Here, we aimed to compare the Ki67 labeling index (Ki67LI) between core-needle biopsy specimens (CNBSs) and surgically resected specimens (SRSs) of invasive breast cancer, and verify whether the discordance in Ki67LI can be reduced by analyzing the maximum standardized uptake value (SUVmax) obtained from pretreatment whole-body positron emission tomography/computed tomography (PET/CT) in combination with Ki67LI. Methods Tumor tissues were obtained from 118 patients with invasive breast cancer. Ki67LI was evaluated in CNBSs and SRSs by immunohistochemistry. First, we directly compared Ki67LI between CNBS and SRS, "allowing a tolerance margin of 5%." We divided the Ki67LI values into three groups (Low: 0≤ Ki67LI ≤10, Intermediate: 10< Ki67LI <30, and High: 30≤ Ki67LI) and the SUVmax into three groups (SUVmax ≤4, 4< SUVmax <8, and 8≤ SUVmax). We then verified the concordance rate between CNBS and SRS in each group in combination with the SUVmax obtained by PET/CT. Results The median Ki67LI was 17.8% (0.5-75.9%) and 17.0% (1.0-75.7%) in CNBS and SRS, respectively. The overall Ki67LI concordance rate between CNBS and SRS was 37.3% (44/118). The concordance was improved in the Low and High Ki67LI groups by applying SUVmax thresholds of 4 [82.6% (19/23), P=0.033 and 8 (92.3% (12/13), P=0.009], respectively. Conclusions Our results indicated that CNBS Ki67LI alone was not able to reflect SRS Ki67LI with sufficient accuracy. By dividing CNBS Ki67LI into three classes in combination with SUVmax, tumor proliferation could be predicted with higher accuracy in patients with invasive breast carcinoma.
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Affiliation(s)
- Hiroki Nakajima
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | - Kazuma Maeno
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | - Tokiko Ito
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | - Toshiharu Kanai
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | - Takaaki Oba
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | - Mayu Ono
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
| | | | - Tsuyoshi Uehara
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Japan
| | - Ken-Ichi Ito
- Division of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Japan
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Ahn SK, Jung SY. Current Biomarkers for Precision Medicine in Breast Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1187:363-379. [PMID: 33983588 DOI: 10.1007/978-981-32-9620-6_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Breast cancer has become the prototypical solid tumor where targets have been identified within the tumor allowing for personalized approach for systemic therapy. Biomarkers are beginning to play an important role in preparing the way for precision treatment. Mandatory biomarkers for every newly diagnosed case of breast cancer are estrogen receptors and progesterone receptors in selecting patients for endocrine treatment and HER2 for identifying patients likely to benefit from antiHER2 therapy. Although methodological problems exist in the determination of Ki67, because of its clearly established clinical value, wide availability, and low costs relative to the available multianalyte signatures, Ki67 may be used for determining prognosis, especially if values are low or high. Also, the androgen receptor (AR) pathway is emerging as a potential therapeutic target in breast cancer. AR-targeted treatments for breast cancer are in development and have shown promising preliminary results. While, most established biomarkers in breast cancer require tissue samples, serum tumor markers are easily accessible and require a less invasive procedure. Among them, tissue polypeptide-specific antigen (TPS), a specific epitope structure of a peptide in serum associated with human cytokeratin 18, is linked to the proliferative activity of tumors. TPS may be a valuable and independent prognostic biomarker for breast cancer.In order to accelerate progress towards precision treatment for women with breast cancer, we need additional predictive biomarker, especially for enhancing the positive predictive value for endocrine and antiHER2 therapies, as well as biomarkers for predicting response to specific forms of chemotherapy.
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Affiliation(s)
- Soo Kyung Ahn
- Breast and Thyroid Center, Department of Surgery, Kangnam Sacred Heart Hospital, Hallym University, Seoul, South Korea.
| | - So-Youn Jung
- Center for Breast Cancer, National Cancer Center, Goyang-si, South Korea
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Asaoka M, Gandhi S, Ishikawa T, Takabe K. Neoadjuvant Chemotherapy for Breast Cancer: Past, Present, and Future. Breast Cancer (Auckl) 2020; 14:1178223420980377. [PMID: 33402827 PMCID: PMC7747102 DOI: 10.1177/1178223420980377] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/23/2020] [Indexed: 12/21/2022] Open
Abstract
Neoadjuvant chemotherapy (NAC) had been developed as a systematic approach before definitive surgery for the treatment of locally advanced or inoperable breast cancer such as inflammatory breast cancer in the past. In addition to its impact on surgery, the neoadjuvant setting has a benefit of providing the opportunity to monitor the individual drug response. Currently, the subject of NAC has expanded to include patients with early-stage, operable breast cancer because it is revealed that the achievement of a pathologic complete response (pCR) is associated with excellent long-term outcomes, especially in patients with aggressive phenotype breast cancer. In addition, this approach provides the unique opportunity to escalate adjuvant therapy in those with residual disease after NAC. Neoadjuvant chemotherapy in breast cancer is a rapidly evolving topic with tremendous interest in ongoing clinical trials. Here, we review the improvements and further challenges in the NAC setting in translational breast cancer research.
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Affiliation(s)
- Mariko Asaoka
- Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
- Department of Breast Oncology and Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - Shipra Gandhi
- Breast Medicine, Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Takashi Ishikawa
- Department of Breast Oncology and Surgery, Tokyo Medical University Hospital, Tokyo, Japan
| | - Kazuaki Takabe
- Breast Surgery, Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
- Department of Breast Oncology and Surgery, Tokyo Medical University Hospital, Tokyo, Japan
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Meng T, He N, He H, Liu K, Ke L, Liu H, Zhong L, Huang C, Yang A, Zhou C, Qian L, Xie C. The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI. Cancer Imaging 2020; 20:88. [PMID: 33317609 PMCID: PMC7737277 DOI: 10.1186/s40644-020-00365-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 12/04/2020] [Indexed: 01/03/2023] Open
Abstract
Background Previous studies have indicated that quantitative MRI (qMR) is beneficial for diagnosis of breast cancer. As a novel qMR technology, synthetic MRI (syMRI) may be advantageous by offering simultaneous generation of T1 and T2 mapping in one scan within a few minutes and without concern to the deposition of the gadolinium contrast agent in cell nucleus. In this study, the potential of quantitative mapping derived from Synthetic MRI (SyMRI) to diagnose breast cancer was investigated. Methods From April 2018 to May 2019, a total of 87 patients with suspicious breast lesions underwent both conventional and SyMRI before treatment. The quantitative metrics derived from SyMRI, including T1 and T2 values, were measured in breast lesions. The diagnostic performance of SyMRI was evaluated with unpaired Student’s t-tests, receiver operating characteristic curve analysis and multivariate logistic regression analysis. The AUCs of quantitative values were compared using Delong test. Results Among 77 patients who met the inclusion criteria, 48 were diagnosed with histopathological confirmed breast cancers, and the rest had benign lesions. The breast cancers showed significantly higher T1 (1611.61 ± 215.88 ms) values and lower T2 (80.93 ± 7.51 ms) values than benign lesions. The area under the ROC curve (AUC) values were 0.931 (95% CI: 0.874–0.989) and 0.883 (95% CI: 0.810–0.956) for T1 and T2 maps, respectively, in diagnostic discrimination between breast cancers and benign lesions. A slightly increased AUC of 0.978 (95% CI: 0.915–0.993) was achieved by combining those two relaxation-based quantitative metrics. Conclusion In conclusion, our preliminary study showed that the quantitative T1 and T2 values obtained by SyMRI could distinguish effectively between benign and malignant breast lesions, and T1 relaxation time showed the highest diagnostic efficiency. Furthermore, combining the two quantitative relaxation metrics further improved their diagnostic performance.
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Affiliation(s)
- Tiebao Meng
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Ni He
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Haoqiang He
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Kuiyuan Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Liangru Ke
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Huiming Liu
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Linchang Zhong
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Chenghui Huang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Anli Yang
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Chunyan Zhou
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China
| | - Long Qian
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Chuanmiao Xie
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, 510060, China.
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50
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Meermira D, Swain M, Gowrishankar S. Study of Ki-67 index in the molecular subtypes of breast cancer: Inter-observer variability and automated scoring. Indian J Cancer 2020; 57:289-295. [PMID: 32769300 DOI: 10.4103/ijc.ijc_719_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Ki-67 index is an important prognostic marker in breast cancer and is also used to differentiate luminal A subtype from luminal B. Inter-observer variations in determining the index and the cut-off value to be considered in distinguishing the two subtypes remain problems in clinical practice. Methods MIB-1 immunohistochemistry was done on 200 cases of breast cancer with 50 cases in each molecular subtype. The Ki-67 scoring was done manually by two observers and automated method (using the software ImmunoRatio). The mean value of Ki-67 was calculated in each molecular group and in the entire estrogen receptor and progesterone receptor (ER/PR) positive group. The inter-observer variability between the two observers and the automated method was also assessed. Results The mean and median values of Ki-67 of all the 200 cases obtained by manual scoring was 31.13% and 29.65% by observer 1, 28.48% and 27.90% by observer 2, and 38.27% and 35.45% by the automated method. The mean Ki-67 value obtained by manual scoring, in luminal A, luminal B, HER2 enriched and triple negative was 21.07%, 37.19%, 33.72% and 27.27%, respectively. There was significant correlation between the two observers and with the automated scoring.. The mean value of the Ki-67 index in the ER/PR positive group was 29.1%. Conclusion The inter-observer correlation and the correlation with the automated scoring system of the Ki-67 index was good. 29.1% was the mean Ki-67 index in the ER/PR positive group and this value was within the acceptable range as per St Galen's recommendation.
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Affiliation(s)
- Divya Meermira
- Department of Histopathology, Apollo Hospitals, Jubilee Hills, Hyderabad, Telangana, India
| | - Meenakshi Swain
- Department of Histopathology, Apollo Hospitals, Jubilee Hills, Hyderabad, Telangana, India
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