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Song X, Xu H, Wang X, Liu W, Leng X, Hu Y, Luo Z, Chen Y, Dong C, Ma B. Use of ultrasound imaging Omics in predicting molecular typing and assessing the risk of postoperative recurrence in breast cancer. BMC Womens Health 2024; 24:380. [PMID: 38956552 PMCID: PMC11218367 DOI: 10.1186/s12905-024-03231-8] [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: 04/22/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND The aim of this study is to assess the efficacy of a multiparametric ultrasound imaging omics model in predicting the risk of postoperative recurrence and molecular typing of breast cancer. METHODS A retrospective analysis was conducted on 534 female patients diagnosed with breast cancer through preoperative ultrasonography and pathology, from January 2018 to June 2023 at the Affiliated Cancer Hospital of Xinjiang Medical University. Univariate analysis and multifactorial logistic regression modeling were used to identify independent risk factors associated with clinical characteristics. The PyRadiomics package was used to delineate the region of interest in selected ultrasound images and extract radiomic features. Subsequently, radiomic scores were established through Least Absolute Shrinkage and Selection Operator (LASSO) regression and Support Vector Machine (SVM) methods. The predictive performance of the model was assessed using the receiver operating characteristic (ROC) curve, and the area under the curve (AUC) was calculated. Evaluation of diagnostic efficacy and clinical practicability was conducted through calibration curves and decision curves. RESULTS In the training set, the AUC values for the postoperative recurrence risk prediction model were 0.9489, and for the validation set, they were 0.8491. Regarding the molecular typing prediction model, the AUC values in the training set and validation set were 0.93 and 0.92 for the HER-2 overexpression phenotype, 0.94 and 0.74 for the TNBC phenotype, 1.00 and 0.97 for the luminal A phenotype, and 1.00 and 0.89 for the luminal B phenotype, respectively. Based on a comprehensive analysis of calibration and decision curves, it was established that the model exhibits strong predictive performance and clinical practicability. CONCLUSION The use of multiparametric ultrasound imaging omics proves to be of significant value in predicting both the risk of postoperative recurrence and molecular typing in breast cancer. This non-invasive approach offers crucial guidance for the diagnosis and treatment of the condition.
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Affiliation(s)
- Xinyu Song
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China
| | - Haoyi Xu
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China
| | - Xiaoli Wang
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China
| | - Wen Liu
- Department of Artificial Intelligence and Smart Mining Engineering Technology Center, Xinjiang Institute of Engineering, Urumqi, 830023, China
| | - Xiaoling Leng
- Department of Ultrasound, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, 523000, China
| | - Yue Hu
- Department of Breast Cancer Center Diagnosis Specialist, Sun Yat-sen Memorial Hospital, Guangzhou, 510120, China
| | - Zhimin Luo
- Department of General Surgery, Tori County People's Hospital, Tuoli, 834500, China
| | - Yanyan Chen
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China
| | - Chao Dong
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China.
| | - Binlin Ma
- Department of Breast and Thyroid Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, No. 789 of Suzhou Street, Xinshi District, Urumqi, 830000, China.
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Lin M, Luo T, Jin Y, Zhong X, Zheng D, Zeng C, Guo Q, Wu J, Shao ZM, Hu X, Yang W, Zhang J. HER2-low heterogeneity between primary and paired recurrent/metastatic breast cancer: Implications in treatment and prognosis. Cancer 2024; 130:851-862. [PMID: 37933913 DOI: 10.1002/cncr.35101] [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: 08/15/2023] [Revised: 09/22/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND With the largest sample size to date, the authors' objective was to investigate the incidence of primary-to-metastatic human epidermal growth factor 2 (HER2) conversion and the predictors for such conversion. Moreover, no previous studies have evaluated the prognosis of patients who have negative HER2 expression (HER2-0) versus low HER2 expression (HER2-low) when HER2 status was assessed based on all recurrent/metastatic lesions. METHODS The authors included 1299 patients who had available HER2 status of primary breast tumors and paired recurrent/metastatic lesions at Fudan University Shanghai Cancer Center and West China Hospital. RESULTS In total, 370 patients (28.5%) experienced primary-to-metastatic HER2 conversion. Intrapatient intermetastasis spatial heterogeneity and temporal heterogeneity of HER2 were detected. When assessing HER2 based on recurrent/metastatic tumors, patients who had HER2-0 tumors had significantly shorter overall survival than those who had HER2-low tumors in the overall population and in the estrogen receptor (ER)-negative subgroup. However, when assessing HER2 based on primary tumors, there was no difference in overall survival between patients who had HER2-0 versus HER2-low tumors. Moreover, patients who had tumors that converted from HER2-0 to HER2-low had longer overall survival than those who had consistent HER2-0 status in the ER-negative subgroup. By combining four predictors (ER status, Ki67 index, biopsy site, and disease-free interval), the authors established the first prediction tool to estimate the probability of HER2-0 tumors converting to HER2-low/positive tumors. CONCLUSIONS Intrapatient primary-to-metastatic and intermetastatic HER2 heterogeneity were observed in this large-scale cohort study. When evaluating HER2 based on recurrent/metastatic tumors, an overall survival difference was observed between patients who had HER2-0 versus HER2-low, recurrent/metastatic breast tumors. The developed prediction tool might help clinicians screen out patients with primary HER2-0 tumors that have a high probability of HER2 status conversion and recommend them for re-biopsy, thus helping to screen out candidate patients for trastuzumab deruxtecan treatment.
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Affiliation(s)
- Mingxi Lin
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Breast and Urinary Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ting Luo
- Breast Disease Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Multi-Omics Laboratory of Breast Diseases, State Key Laboratory of Biotherapy, National Collaborative, Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yizi Jin
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaorong Zhong
- Breast Disease Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Multi-Omics Laboratory of Breast Diseases, State Key Laboratory of Biotherapy, National Collaborative, Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Dan Zheng
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Cheng Zeng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qing Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiong Wu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Shanghai, China
| | - Zhi-Ming Shao
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Shanghai, China
| | - Xichun Hu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Breast and Urinary Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wentao Yang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jian Zhang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Phase I Clinical Trial Center, Fudan University Shanghai Cancer Center, Shanghai, China
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Nikas IP, Lim S, Im SA, Lee KH, Lee DW, Lee H, Ryu HS. Discrepancies in Hormone Receptor and HER2 Expression between Malignant Serous Effusions and Paired Tissues from Primary or Recurrent Breast Cancers. Pathobiology 2023; 91:169-179. [PMID: 37816333 DOI: 10.1159/000533912] [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: 03/19/2023] [Accepted: 08/29/2023] [Indexed: 10/12/2023] Open
Abstract
INTRODUCTION Immunohistochemistry (IHC) for the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) biomarkers has prognostic and therapeutic value in breast cancer. This study aimed to compare the expression of ER, PR, and HER2 between paired malignant effusions and tissue samples of breast cancer. METHODS Our electronic archive was searched for all effusions diagnosed as breast carcinomas within a pre-defined period (January 2018-October 2021). Next, their cell blocks (CBs) were subjected to ER, PR, HER2 IHC, or in situ hybridization, in addition to EGFR IHC. The expression of hormone receptors (HRs) and HER2 was subsequently compared between tissue and effusion cytology samples derived from the same patients. RESULTS Only 2/76 (2.6%) of the breast cancer patients analyzed showed a malignant effusion at their initial presentation. ER, PR, and HER2 discordance rates between paired malignant effusions and tissue samples obtained at initial diagnosis were 24.3% (17/73), 40.8% (29/71), and 9.1% (6/66), respectively. The HR-/HER2- status was found more often at effusions compared to paired tissue biopsies obtained at initial diagnosis (30/70 vs. 17/70; p < 0.001). In addition, the HR-/HER2- status was significantly associated with an earlier development of a malignant effusion, when found at initial diagnosis (p < 0.001; log-rank test), first recurrence/metastasis (either solid or effusion) (p = 0.012; log-rank test), effusion samples (p = 0.007; log-rank test), and any tumor sample obtained (p = 0.009; log-rank test). Lastly, EGFR overexpression in the HR-/HER2- effusion samples was significantly associated with a shorter post-effusion survival (p = 0.019; log-rank test). CONCLUSION Serous effusion cytology provides high-quality material for ancillary techniques, especially when CBs are prepared, reflecting cancer heterogeneity.
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MESH Headings
- Humans
- Breast Neoplasms/pathology
- Breast Neoplasms/genetics
- Breast Neoplasms/metabolism
- Female
- Receptor, ErbB-2/genetics
- Receptor, ErbB-2/metabolism
- Receptors, Progesterone/metabolism
- Receptors, Progesterone/genetics
- Receptors, Estrogen/metabolism
- Middle Aged
- Biomarkers, Tumor/metabolism
- Biomarkers, Tumor/genetics
- Aged
- Neoplasm Recurrence, Local/pathology
- Immunohistochemistry
- Pleural Effusion, Malignant/pathology
- Pleural Effusion, Malignant/genetics
- Pleural Effusion, Malignant/metabolism
- Pleural Effusion, Malignant/diagnosis
- Adult
- Prognosis
- Aged, 80 and over
- Retrospective Studies
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Affiliation(s)
- Ilias P Nikas
- School of Medicine, European University Cyprus, Nicosia, Cyprus,
| | - Sojung Lim
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seock-Ah Im
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Kyung-Hun Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Dae-Won Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Hyebin Lee
- Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Han Suk Ryu
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
- Pharmonoid Co., Ltd., Seoul, Republic of Korea
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Lee K, Lee J, Choi J, Sim SH, Kim JE, Kim MH, Park YH, Kim JH, Koh SJ, Park KH, Kang MJ, Ahn MS, Lee KE, Kim HJ, Ahn HK, Kim HJ, Park KU, Park IH. Genomic analysis of plasma circulating tumor DNA in patients with heavily pretreated HER2 + metastatic breast cancer. Sci Rep 2023; 13:9928. [PMID: 37336919 DOI: 10.1038/s41598-023-35925-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 05/25/2023] [Indexed: 06/21/2023] Open
Abstract
We explored accumulated genomic alterations in patients with heavily treated HER2 + metastatic breast cancer enrolled in the KCSG BR18-14/KM10B trial. Targeted sequencing was performed with circulating tumor DNAs (ctDNAs) collected before the treatment of 92 patients. ctDNAs collected at the time of disease progression from seven patients who had a durable response for > 12 months were also analyzed. Sixty-five genes were identified as pathogenic alterations in 99 samples. The most frequently altered genes were TP53 (n = 48), PIKCA (n = 21) and ERBB3 (n = 19). TP53 and PIK3CA mutations were significantly related with shorter progression free survival (PFS), and patients with a higher ctDNA fraction showed a worse PFS. The frequency of homologous recombination deficiency (HRD)-related gene mutations was higher than that in matched tumor tissues, and these mutations tended to be associated with shorter PFS. New pathogenic variants were found at the end of treatment in all seven patients, including BRCA2, VHL, RAD50, RB1, BRIP1, ATM, FANCA, and PIK3CA mutations. In conclusion, TP53 and PIK3CA mutations, as well as a higher ctDNA fraction, were associated with worse PFS with trastuzumab and cytotoxic chemotherapy. The enrichment of HRD-related gene mutations and newly detected variants in ctDNA may be related to resistance to treatment.
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Affiliation(s)
- Kyoungmin Lee
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jongwon Lee
- Brain Korea 21 Plus Project for Biomedical Science, Korea University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Sung Hoon Sim
- Center for Breast Cancer, National Cancer Center, Goyang, Korea
| | - Jeong Eun Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Min Hwan Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Yeon Hee Park
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jee Hyun Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Su-Jin Koh
- Department of Hematology and Oncology, Ulsan University Hospital, Ulsan University College of Medicine, Ulsan, Korea
| | - Kyong Hwa Park
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Myoung Joo Kang
- Division of Oncology, Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Mi Sun Ahn
- Department of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea
| | - Kyoung Eun Lee
- Department of Hematology and Oncology, Ewha Womans University Hospital, Seoul, Korea
| | - Hee-Jun Kim
- Division of Hematology/Medical Oncology, Department of Internal Medicine, Chung-Ang University Hospital, Seoul, Korea
| | - Hee Kyung Ahn
- Division of Medical Oncology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Han Jo Kim
- Division of Oncology and Hematology, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Keon Uk Park
- Division of Hematology/Oncology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Daegu, Korea
| | - In Hae Park
- Division of Oncology/Hematology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
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Heitkamp A, Madesta F, Amberg S, Wahaj S, Schröder T, Bechstein M, Meyer L, Broocks G, Hanning U, Gauer T, Werner R, Fiehler J, Gellißen S, Kniep HC. Discordant and Converting Receptor Expressions in Brain Metastases from Breast Cancer: MRI-Based Non-Invasive Receptor Status Tracking. Cancers (Basel) 2023; 15:cancers15112880. [PMID: 37296843 DOI: 10.3390/cancers15112880] [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: 04/04/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023] Open
Abstract
Discordance and conversion of receptor expressions in metastatic lesions and primary tumors is often observed in patients with brain metastases from breast cancer. Therefore, personalized therapy requires continuous monitoring of receptor expressions and dynamic adaptation of applied targeted treatment options. Radiological in vivo techniques may allow receptor status tracking at high frequencies at low risk and cost. The present study aims to investigate the potential of receptor status prediction through machine-learning-based analysis of radiomic MR image features. The analysis is based on 412 brain metastases samples from 106 patients acquired between 09/2007 and 09/2021. Inclusion criteria were as follows: diagnosed cerebral metastases from breast cancer; histopathology reports on progesterone (PR), estrogen (ER), and human epidermal growth factor 2 (HER2) receptor status; and availability of MR imaging data. In total, 3367 quantitative features of T1 contrast-enhanced, T1 non-enhanced, and FLAIR images and corresponding patient age were evaluated utilizing random forest algorithms. Feature importance was assessed using Gini impurity measures. Predictive performance was tested using 10 permuted 5-fold cross-validation sets employing the 30 most important features of each training set. Receiver operating characteristic areas under the curves of the validation sets were 0.82 (95% confidence interval [0.78; 0.85]) for ER+, 0.73 [0.69; 0.77] for PR+, and 0.74 [0.70; 0.78] for HER2+. Observations indicate that MR image features employed in a machine learning classifier could provide high discriminatory accuracy in predicting the receptor status of brain metastases from breast cancer.
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Affiliation(s)
- Alexander Heitkamp
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Frederic Madesta
- Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Sophia Amberg
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Schohla Wahaj
- Department of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Tanja Schröder
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Tobias Gauer
- Department of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - René Werner
- Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
- Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Susanne Gellißen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Helge C Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
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Li C, Lyu Z, Wang Z, Hao C, Huang Y, Song F. The changes of subtype markers between first and second primary breast cancers. Cancer Med 2023. [PMID: 37096879 DOI: 10.1002/cam4.5979] [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: 11/19/2022] [Revised: 02/28/2023] [Accepted: 04/08/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND Previous studies investigated the changes of subtype markers [estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2)] in several clinical settings, but not for second primary breast cancer (SPBC) after first primary breast cancer (FPBC). METHODS A total of 15,390 patients with SPBC were preliminarily selected from the Surveillance, Epidemiology, and End Results Program, and 3777 patients with complete information on three subtype markers in both FPBC and SPBC were included in the final analyses. The changes of subtype markers and their prognostic implications and potential influential factors were well investigated. RESULTS The overall change rates of ER, PR, and HER2 between FPBC and SPBC were 23.0% (867/3777), 35.0% (1322/3777), and 18.3% (691/3777), respectively. Gains of ER, PR, and HER2 after negative index markers were 48.7% (364/748), 37.9% (418/1103), and 11.5% (370/3211), while losses of markers after positive index markers were 16.6% (503/3029), 33.8%(904/2674), and 56.7%(321/566). Loss of ER was significantly associated with increased mortality (18.1% vs. 7.9%, p < 0.001), while gain of ER was significantly associated with decreased mortality (11.5% vs. 23.2%, p < 0.001). Similar results were observed for changes of PR status. However, loss of HER2 was significantly associated with decreased mortality (8.7% vs. 16.3%, p = 0.014), and no significant association was observed between the gain of HER2 and the prognosis of SPBC. Multivariate competing risk analyses showed similar results. HER2 status in FPBC, chemotherapy, and radiotherapy was significantly associated with changes of ER/PR (all p < 0.05), and no available therapies associated with HER2 change. CONCLUSION The changes of subtype markers are observed in a considerable proportion of patients and has statistically significant prognostic implications. Biopsies should be taken as a routine procedure for better therapy management.
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Affiliation(s)
- Chenyang Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhangyan Lyu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhipeng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Chunfang Hao
- Department of Breast Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yubei Huang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
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7
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Lin M, Jin Y, Lv H, Hu X, Zhang J. Incidence and prognostic significance of receptor discordance between primary breast cancer and paired bone metastases. Int J Cancer 2023; 152:1476-1489. [PMID: 36408915 DOI: 10.1002/ijc.34365] [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: 05/18/2022] [Revised: 09/27/2022] [Accepted: 11/08/2022] [Indexed: 11/22/2022]
Abstract
ER, PgR and HER-2 status are the cornerstones of choosing systemic therapy for breast cancer, but can change during the disease course. Guidelines recommended the biopsy of the metastatic tumor to reassess receptor status. Bone is the most frequent metastatic site of breast cancer but remained technically difficult to biopsy. Our study aimed to evaluate the incidence and prognostic significance of receptor discordance between primary breast cancer and paired bone metastases. One hundred and fifty-five breast cancer patients were diagnosed with pathology-confirmed bone metastasis at Fudan University Shanghai Cancer Center. Ninety-three patients with receptor status available on both primary tumor and bone metastases were included in our study. ER, PgR and HER-2 status converted from positive to negative in 10.8% (10/93), 28.0% (26/93) and 8.6% (8/93) of the patients, while ER, PgR and HER-2 status converted from negative to positive in 3.2% (3/93), 4.3% (4/93) and 1.1% (1/93) of the patients, respectively. 40.4% (17/42) of the HER2-0 tumors converted to HER2-low, which enabled them to receive the treatment of new antibody-drug conjugates (ADCs). Prior endocrine and anti-HER2 therapy were the independent risk factors for receptor conversion. Loss of HR expression in bone metastases was significantly associated with worse first-line PFS (adjusted hazard ratio = 3.271, P-value = .039) and OS (adjusted hazard ratio = 6.09, P-value = .011). In conclusion, our study confirmed that patients may experience receptor conversion between primary breast cancer and bone metastases, possibly influenced by prior treatments, which significantly influenced prognosis. The rebiopsy of bone metastases in patients with primary HER2-0 tumors may benefit from the new ADC drugs.
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Affiliation(s)
- Mingxi Lin
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yizi Jin
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hong Lv
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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8
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Liang T, Wu X, Wang L, Song T, Wu P, Niu Y, Huang H. Correlation of NNMT and DKK1 Protein Expression With Clinicopathological Characteristics and Prognosis of Breast Cancer. Clin Med Insights Oncol 2023; 17:11795549231168073. [PMID: 37114075 PMCID: PMC10126688 DOI: 10.1177/11795549231168073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 03/15/2023] [Indexed: 04/29/2023] Open
Abstract
Background Nicotinamide N-methyltransferase (NNMT) and Dickkopf-1 (DKK1) play an important role in the development of breast cancer, and the purpose of this study was designed to examine the clinical and prognostic significance of NNMT and DKK1 in breast cancer. Methods The GEPIA2 database was used to evaluate the expression and survival of NNMT mRNA and DKK1 mRNA of breast cancer. Then an immunohistochemical study was carried out on 374 cases of breast tissue to identify the protein expression and significance of NNMT and DKK1. Next, the prognostic significance of DKK1 in breast cancer was explored by COX and Kaplan-Meier models. Results Protein NNMT expression was correlated with lymph node metastasis and histological grade (P < .05) while protein DKK1 expression was related to tumor size, pT stage, histological grade, and Ki-67 (P < .05). Protein DKK1 was related to disease-specific survival (DSS), and low DKK1 expression indicated a poor prognosis of breast cancer patients (P < .05). Combined expression of protein NNMT and protein DKK1 predicted different prognosis of DSS (P < .05). Conclusions Nicotinamide N-methyltransferase and DKK1 were linked to breast cancer malignancy and invasion. Breast cancer patients with low DKK1 expression had a worse prognosis. Oncotypes of NNMT and DKK1 expression predicted patient outcomes.
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Affiliation(s)
- Tairong Liang
- Department of Pathology, The Second
Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiuqian Wu
- The Affiliated Cancer Hospital of
Shantou University Medical College, Shantou, China
| | - Lan Wang
- Department of Pathology, The Second
Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Tiantian Song
- Department of Pharmacology, Shantou
University Medical College, Shantou, China
- Department of Preventive Medicine,
Shantou University Medical College, Shantou, China
| | - Peishan Wu
- Department of Pathology, The Second
Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yongdong Niu
- Department of Pharmacology, Shantou
University Medical College, Shantou, China
| | - Haihua Huang
- Department of Pathology, The Second
Affiliated Hospital of Shantou University Medical College, Shantou, China
- Haihua Huang, Department of Pathology, The
Second Affiliated Hospital of Shantou University Medical College, Shantou
515000, China.
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9
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Park YS, Kook MC, Kim BH, Lee HS, Kang DW, Gu MJ, Shin OR, Choi Y, Lee W, Kim H, Song IH, Kim KM, Kim HS, Kang G, Park DY, Jin SY, Kim JM, Choi YJ, Chang HK, Ahn S, Chang MS, Han SH, Kwak Y, Seo AN, Lee SH, Cho MY. A standardized pathology report for gastric cancer: 2nd edition. J Pathol Transl Med 2023; 57:1-27. [PMID: 36647283 PMCID: PMC9846007 DOI: 10.4132/jptm.2022.12.23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 01/18/2023] Open
Abstract
The first edition of 'A Standardized Pathology Report for Gastric Cancer' was initiated by the Gastrointestinal Pathology Study Group of the Korean Society of Pathologists and published 17 years ago. Since then, significant advances have been made in the pathologic diagnosis, molecular genetics, and management of gastric cancer (GC). To reflect those changes, a committee for publishing a second edition of the report was formed within the Gastrointestinal Pathology Study Group of the Korean Society of Pathologists. This second edition consists of two parts: standard data elements and conditional data elements. The standard data elements contain the basic pathologic findings and items necessary to predict the prognosis of GC patients, and they are adequate for routine surgical pathology service. Other diagnostic and prognostic factors relevant to adjuvant therapy, including molecular biomarkers, are classified as conditional data elements to allow each pathologist to selectively choose items appropriate to the environment in their institution. We trust that the standardized pathology report will be helpful for GC diagnosis and facilitate large-scale multidisciplinary collaborative studies.
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Affiliation(s)
- Young Soo Park
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | | | - Baek-hui Kim
- Department of Pathology, Korea University Guro Hospital, Seoul, Korea
| | - Hye Seung Lee
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Dong-Wook Kang
- Department of Pathology, Chungnam National University Sejong Hospital, Chungnam National University School of Medicine, Sejong, Korea
| | - Mi-Jin Gu
- Department of Pathology, Yeungnam University College of Medicine, Daegu, Korea
| | - Ok Ran Shin
- Department of Hospital Pathology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Younghee Choi
- Department of Pathology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea
| | - Wonae Lee
- Department of Pathology, Dankook University College of Medicine, Cheonan, Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - In Hye Song
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hee Sung Kim
- Department of Pathology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Guhyun Kang
- LabGenomics Clinical Laboratories, Seongnam, Korea
| | | | - So-Young Jin
- Department of Pathology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Joon Mee Kim
- Department of Pathology, Inha University School of Medicine, Incheon, Korea
| | - Yoon Jung Choi
- Department of Pathology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hee Kyung Chang
- Department of Pathology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Soomin Ahn
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mee Soo Chang
- Department of Pathology, Seoul National University Boramae Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Song-Hee Han
- Department of Pathology, Dong-A University College of Medicine, Busan, Korea
| | - Yoonjin Kwak
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - An Na Seo
- Department of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Korea
| | - Sung Hak Lee
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Mee-Yon Cho
- Department of Pathology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - The Gastrointestinal Pathology Study Group of the Korean Society of Pathologists
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Center for Gastric Cancer, National Cancer Center, Goyang, Korea
- Department of Pathology, Korea University Guro Hospital, Seoul, Korea
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
- Department of Pathology, Chungnam National University Sejong Hospital, Chungnam National University School of Medicine, Sejong, Korea
- Department of Pathology, Yeungnam University College of Medicine, Daegu, Korea
- Department of Hospital Pathology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
- Department of Pathology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea
- Department of Pathology, Dankook University College of Medicine, Cheonan, Korea
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Pathology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
- LabGenomics Clinical Laboratories, Seongnam, Korea
- St. Maria Pathology Laboratory, Busan, Korea
- Department of Pathology, Soonchunhyang University Seoul Hospital, Seoul, Korea
- Department of Pathology, Inha University School of Medicine, Incheon, Korea
- Department of Pathology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
- Department of Pathology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea
- Department of Pathology, Seoul National University Boramae Hospital, Seoul National University College of Medicine, Seoul, Korea
- Department of Pathology, Dong-A University College of Medicine, Busan, Korea
- Department of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, Korea
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Pathology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
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10
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Molecular subtype conversion in CTCs as indicator of treatment adequacy associated with metastasis-free survival in breast cancer. Sci Rep 2022; 12:20949. [PMID: 36470982 PMCID: PMC9723174 DOI: 10.1038/s41598-022-25609-0] [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: 08/17/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Molecular subtype of breast cancer has a great clinical significance and used as one of the major criteria for therapeutic strategy. Recently, for anticancer therapy, the trend for oncologists is the predominant determination of biomarkers in the existing foci of the disease. In the case of adjuvant therapy prescribed for distant metastases prevention, CTCs could be a suitable object for investigation. CTCs as one of the factors responsible for tumor metastatic potential could be more convenient and informative for evaluation of hormone receptors, Ki-67 and HER2 expression, which are determine molecular subtype in breast cancer patient. In our study, we aimed to investigate the molecular subtype discordance between the primary tumor and CTCs in breast cancer patients. We established conversion of molecular subtype in most of the cases. Namely, conversion was detected in 90% of untreated patients and in 82% of breast cancer patients treated by neoadjuvant chemotherapy. At the same time, molecular subtype conversions in patients treated by neoadjuvant chemotherapy were more diverse. Molecular subtype conversions resulted more often in the unfavorable variants in circulating tumor cells. We stratified all patients according to the adequacy of treatment against converted CTCs molecular subtype. Our study revealed that good response to neoadjuvant chemotherapy observed in case of adequate therapy, namely, when chemotherapy scheme was sufficient against CTCs. It turned out that patients with inadequate therapy were characterized by decreased simulated 5-year metastasis-free survival compared to patients who received appropriate therapy. Thus, detection of molecular subtype conversion in circulating tumor cells could be a perspective tool for optimization of antitumor therapy.
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11
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Lan A, Jin Y, Wang Y, Ding N, Wang Y, Dai Y, Jiang L, Tang Z, Peng Y, Liu S. Association of serum reproductive hormones changes after neoadjuvant chemotherapy with hormone receptors expression alterations and survival outcomes in breast cancer. Front Surg 2022; 9:947218. [PMID: 36117838 PMCID: PMC9470751 DOI: 10.3389/fsurg.2022.947218] [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: 05/18/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose This study aimed to determine the effect of neoadjuvant chemotherapy (NAC) on circulating levels of reproductive hormones and evaluate the correlation of hormone changes after NAC with hormone receptors expression alterations and relapse-free survival (RFS) outcomes in breast cancer. Methods Information from 181 breast cancer patients who received NAC was retrospectively analyzed. For hormones parameters, the median and interquartile range (IQR) were provided at baseline and the end of NAC then was compared by Wilcoxon signed-rank test. Categorical variables were represented as numbers and percentages and were compared via two-sided chi-square and Fisher's tests. The RFS outcomes were compared between patients according to hormone changes using the log-rank test. Univariate and multivariate survival analyses with hazard ratios (HR) and 95% confidence intervals (95% CI) were carried out using Cox regression. Results Sex steroids including estradiol, progesterone, testosterone, and dehydroepiandrosterone sulfate (DHEAS) levels decreased significantly after NAC among both premenopausal and postmenopausal patients (all P < 0.05). Decreased estradiol levels were associated with reduced progesterone receptor (PR) expression (P = 0.030). In multivariate survival analysis, the non-decreased progesterone level was strongly associated with worse RFS (non-decreased vs. decreased, HR = 7.178, 95% CI 2.340–22.019, P = 0.001). Patients with decreased progesterone levels exhibited better 3-year RFS compared with those with non-decreased (87.6% vs. 58.3%, log-rank, P = 0.001). Conclusion Multiple reproductive hormone levels were influenced by NAC. The change in estradiol level had a positive connection with PR expression alteration. Furthermore, an inverse association between the change in progesterone level and RFS outcomes was found. These findings may provide a theoretical basis for pre-operative endocrine therapy combined with NAC in breast cancer patients.
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12
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Coelho DR, Palma FR, Paviani V, He C, Danes JM, Huang Y, Calado JCP, Hart PC, Furdui CM, Poole LB, Schipma MJ, Bonini MG. Nuclear-localized, iron-bound superoxide dismutase-2 antagonizes epithelial lineage programs to promote stemness of breast cancer cells via a histone demethylase activity. Proc Natl Acad Sci U S A 2022; 119:e2110348119. [PMID: 35858297 PMCID: PMC9303987 DOI: 10.1073/pnas.2110348119] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 03/27/2022] [Indexed: 01/16/2023] Open
Abstract
The dichotomous behavior of superoxide dismutase-2 (SOD2) in cancer biology has long been acknowledged and more recently linked to different posttranslational forms of the enzyme. However, a distinctive activity underlying its tumor-promoting function is yet to be described. Here, we report that acetylation, one of such posttranslational modifications (PTMs), increases SOD2 affinity for iron, effectively changing the biochemical function of this enzyme from that of an antioxidant to a demethylase. Acetylated, iron-bound SOD2 localizes to the nucleus, promoting stem cell gene expression via removal of suppressive epigenetic marks such as H3K9me3 and H3K927me3. Particularly, H3K9me3 was specifically removed from regulatory regions upstream of Nanog and Oct-4, two pluripotency factors involved in cancer stem cell reprogramming. Phenotypically, cells expressing nucleus-targeted SOD2 (NLS-SOD2) have increased clonogenicity and metastatic potential. FeSOD2 operating as H3 demethylase requires H2O2 as substrate, which unlike cofactors of canonical demethylases (i.e., oxygen and 2-oxoglutarate), is more abundant in tumor cells than in normal tissue. Therefore, our results indicate that FeSOD2 is a demethylase with unique activities and functions in the promotion of cancer evolution toward metastatic phenotypes.
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Affiliation(s)
- Diego R. Coelho
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Flavio R. Palma
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Veronica Paviani
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Chenxia He
- Department of Medicine, Division of Endocrinology, Metabolism and Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226
| | - Jeanne M. Danes
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Yunping Huang
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Juliana C. P. Calado
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Peter C. Hart
- College of Science, Health and Pharmacy, Roosevelt University, Schaumburg, IL 60173
| | - Cristina M. Furdui
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Leslie B. Poole
- Department of Biochemistry, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Matthew J. Schipma
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Quantitative Data Sciences Core and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Marcelo G. Bonini
- Department of Medicine, Division of Hematology Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
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13
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Luo X, Xie H, Yang Y, Zhang C, Zhang Y, Li Y, Yang Q, Wang D, Luo Y, Mai Z, Xie C, Yin S. Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases. Front Oncol 2022; 12:878388. [PMID: 35734585 PMCID: PMC9207517 DOI: 10.3389/fonc.2022.878388] [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: 02/18/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
Backgrounds A significant proportion of breast cancer patients showed receptor discordance between primary cancers and breast cancer brain metastases (BCBM), which significantly affected therapeutic decision-making. But it was not always feasible to obtain BCBM tissues. The aim of the present study was to analyze the receptor status of primary breast cancer and matched brain metastases and establish radiomic signatures to predict the receptor status of BCBM. Methods The receptor status of 80 matched primary breast cancers and resected brain metastases were retrospectively analyzed. Radiomic features were extracted using preoperative brain MRI (contrast-enhanced T1-weighted imaging, T2-weighted imaging, T2 fluid-attenuated inversion recovery, and combinations of these sequences) collected from 68 patients (45 and 23 for training and test sets, respectively) with BCBM excision. Using least absolute shrinkage selection operator and logistic regression model, the machine learning-based radiomic signatures were constructed to predict the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status of BCBM. Results Discordance between the primary cancer and BCBM was found in 51.3% of patients, with 27.5%, 27.5%, and 5.0% discordance for ER, PR, and HER2, respectively. Loss of receptor expression was more common (33.8%) than gain (18.8%). The radiomic signatures built using combination sequences had the best performance in the training and test sets. The combination model yielded AUCs of 0.89, 0.88, and 0.87, classification sensitivities of 71.4%, 90%, and 87.5%, specificities of 81.2%, 76.9%, and 71.4%, and accuracies of 78.3%, 82.6%, and 82.6% for ER, PR, and HER2, respectively, in the test set. Conclusions Receptor conversion in BCBM was common, and radiomic signatures show potential for noninvasively predicting BCBM receptor status.
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Affiliation(s)
- Xiao Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hui Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yadi Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Cheng Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yijun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yue Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qiuxia Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Deling Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yingwei Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhijun Mai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chuanmiao Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Shaohan Yin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
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14
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Belete AM, Aynalem YA, Gemeda BN, Demelew TM, Shiferaw WS. The Effect of Estrogen Receptor Status on Survival in Breast Cancer Patients in Ethiopia. Retrospective Cohort Study. BREAST CANCER: TARGETS AND THERAPY 2022; 14:153-161. [PMID: 35747466 PMCID: PMC9211074 DOI: 10.2147/bctt.s365295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/10/2022] [Indexed: 11/23/2022]
Abstract
Background There is wide global variance in survival from breast cancer, both in developed and developing country. However, the effect of estrogen receptor status has not been widely evaluated in Ethiopia where the incidence of breast cancer is rapidly increasing. Hence, the current study aimed to determine the effect of estrogen receptor status on the overall survival of breast cancer patients who were treated at Black Lion Specialized Hospital, Ethiopia. Methods In this institution-based retrospective cohort study a total of 368 study participants were included with a one-to-one ratio of estrogen receptor negative to estrogen receptor positive. The main outcome of interest for this study was death due to breast cancer. The authors compared the women with estrogen receptor-positive and estrogen receptor-negative breast cancer for overall survival rate using log rank test. The incidence density rate of mortality was calculated for each exposed and non-exposed variable. The effect of estrogen receptor status on breast cancer mortality was estimated using the Cox proportional hazards model. Results The incidence density rate of mortality among breast cancer patients for estrogen receptor positive were found to be 5.48 (95% CI=3.94–7.64) per 1,000 person years observation; while for estrogen negative receptor status the mortality rate was found to be 10.47 (95% CI=8.19–13.37) per 1,000 person years observation. In the Cox regression analysis after ful adjustments for confounder variables, the mortality event risk was 32% higher among estrogen receptor negative (HR=1.32; 95% CI=1.08–2.91) as compared to estrogen receptor positive breast cancer patients. Conclusion We have found that the incidence density rate of mortality among breast cancer patients was significantly higher in the estrogen receptor negative groups. Therefore, clinicians should give careful attention to the impact of estrogen receptor negative status on the overall outcome of clients.
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Affiliation(s)
- Abebe Muche Belete
- Department of Biomedical Science, Debre Berhan University, Debre Berhan, Ethiopia
- Correspondence: Abebe Muche Belete, Department of Biomedical Science, Debre Berhan University, P.O. Box 445, Debre Berhan, Ethiopia, Tel +251 938373278, Email
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15
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Fukuoka M, Ichikawa Y, Osako T, Fujita T, Baba S, Takeuchi K, Tsunoda N, Ebata T, Ueno T, Ohno S, Saitoh N. The ELEANOR non-coding RNA expression contributes to cancer dormancy and predicts late recurrence of ER-positive breast cancer. Cancer Sci 2022; 113:2336-2351. [PMID: 35415910 PMCID: PMC9277265 DOI: 10.1111/cas.15373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/21/2022] [Accepted: 03/25/2022] [Indexed: 11/29/2022] Open
Abstract
The recurrence risk of estrogen receptor (ER)-positive breast cancer remains high for a long period of time, unlike the other types of cancer. The late recurrence reflects the ability of cancer cells to remain dormant through various events, including cancer stemness acquisition, but the detailed mechanism is unknown. ESR1 locus enhancing and activating non-coding RNAs (ELEANORS) are a cluster of nuclear non-coding RNAs originally identified in a recurrent breast cancer cell model. Although their functions as chromatin regulators in vitro are well characterized, their roles in vivo remain elusive. In this study, we evaluated the clinicopathological features of ELEANORS, using primary and corresponding metastatic breast cancer tissues. The ELEANOR expression was restricted to ER-positive cases and well-correlated with the ER and progesterone receptor expression levels, especially at the metastatic sites. ELEANORS were detected in both primary and metastatic tumors (32% and 29%, respectively), and frequently in postmenopausal cases. Interestingly, after surgery, patients with ELEANOR-positive primary tumors exhibited increased relapse rates after, but not within, 5 years. Multivariate analysis showed that ELEANORS are independent recurrence risk factor. Consistently, analyses with cell lines, mouse xenografts and patient tissues revealed that ELEANORS upregulate a breast cancer stemness gene, CD44, and maintain the cancer stem cell population, which may facilitate tumor dormancy. Our findings highlight a new role of nuclear long non-coding RNAs and their clinical potential as predictive biomarkers and therapeutic targets for late recurrence of ER-positive breast cancer.
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Affiliation(s)
- Megumi Fukuoka
- Division of Cancer Biology, The Cancer Institute of JFCR, Tokyo, 135-8550, Japan.,Division of Surgical Oncology, Nagoya University Graduate School of Medicine, Japan
| | - Yuichi Ichikawa
- Division of Cancer Biology, The Cancer Institute of JFCR, Tokyo, 135-8550, Japan
| | - Tomo Osako
- Division of Pathology, The Cancer Institute of JFCR.,Department of Pathology, The Cancer Institute Hospital of JFCR
| | - Tomoko Fujita
- Division of Cancer Biology, The Cancer Institute of JFCR, Tokyo, 135-8550, Japan
| | - Satoko Baba
- Division of Pathology, The Cancer Institute of JFCR.,Department of Pathology, The Cancer Institute Hospital of JFCR.,Pathology Project for Molecular Targets, Cancer Institute
| | - Kengo Takeuchi
- Division of Pathology, The Cancer Institute of JFCR.,Department of Pathology, The Cancer Institute Hospital of JFCR.,Pathology Project for Molecular Targets, Cancer Institute
| | - Nobuyuki Tsunoda
- Division of Surgical Oncology, Nagoya University Graduate School of Medicine, Japan
| | - Tomoki Ebata
- Division of Surgical Oncology, Nagoya University Graduate School of Medicine, Japan
| | - Takayuki Ueno
- Breast Oncology Center, The Cancer Institute Hospital of JFCR
| | - Shinji Ohno
- Breast Oncology Center, The Cancer Institute Hospital of JFCR
| | - Noriko Saitoh
- Division of Cancer Biology, The Cancer Institute of JFCR, Tokyo, 135-8550, Japan
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Ivanidze J, Subramanian K, Youn T, Cigler T, Osborne JR, Magge RS, Balogun OD, Knisely JPS, Ramakrishna R. Utility of [18F]-fluoroestradiol (FES) PET/CT with dedicated brain acquisition in differentiating brain metastases from posttreatment change in estrogen receptor-positive breast cancer. Neurooncol Adv 2021; 3:vdab178. [PMID: 34988456 PMCID: PMC8713741 DOI: 10.1093/noajnl/vdab178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Jana Ivanidze
- Division of Molecular Imaging and Therapeutics, Department of Radiology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Kritika Subramanian
- Division of Molecular Imaging and Therapeutics, Department of Radiology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Trisha Youn
- Division of Molecular Imaging and Therapeutics, Department of Radiology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Tessa Cigler
- Department of Breast Oncology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Joseph R Osborne
- Division of Molecular Imaging and Therapeutics, Department of Radiology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Rajiv S Magge
- Department of Neurology, Weill Cornell Brain Tumor Center, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Onyinye D Balogun
- Department of Radiation Oncology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Jonathan P S Knisely
- Department of Radiation Oncology, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
| | - Rohan Ramakrishna
- Department of Neurological Surgery, NewYork-Presbyterian Hospital—Weill Cornell Campus, New York, New York, USA
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