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Seki H, Ogiya A, Nagura N, Shimo A, Narui K, Sasada S, Ishitobi M, Nogi H, Kondo N, Sakurai T, Yamauchi C, Mori H, Saiga M, Niikura N, Shien T. Prognosis of isolated locoregional recurrence after early breast cancer with immediate breast reconstruction surgery: a retrospective multi‑institutional study. Breast Cancer 2024:10.1007/s12282-024-01607-0. [PMID: 38890202 DOI: 10.1007/s12282-024-01607-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND The prognosis in patients with breast cancer with isolated locoregional recurrence (ILRR) without simultaneous distant metastases after immediate breast reconstruction (IBR) remains unknown. We aimed to investigate the prognosis in this patient population. METHODS This multi-institutional retrospective observational study evaluated 3295 patients with primary breast cancer who underwent IBR at 12 Japanese medical facilities between January 1, 2008 and December 31, 2016. The outcome measures were the prognostic factors for ILRR after IBR, 5-year distant metastasis-free interval (DMFI), and 5-year overall survival (OS). RESULTS Mastectomy or skin-sparing mastectomy was performed in 3295 patients. ILRR occurred in 70 patients, and the median observation period from ILRR diagnosis was 39.3 months. Of the 70 patients, 9 (12.9%) had axillary lymph node recurrence (ALNR) at the time of ILRR diagnosis. The 5-year DMFI and OS rates after ILRR were 92.4% and 91.2%, respectively. Pathological lymph node metastasis at primary surgery (P = 0.041) and ALNR (P = 0.022) at ILRR were significantly associated with DMFI in the univariate analysis. ALNR was the only independent prognostic factor in the multivariate analysis (P = 0.041). Post-mastectomy radiation therapy (PMRT; P = 0.022) and ALNR (P = 0.043) were significantly associated with OS in the univariate analysis, and both PMRT (P = 0.010) and ALNR (P = 0.028) were independent prognostic factors in the multivariate analysis for OS. CONCLUSIONS Although patients with breast cancer who had ILRR after IBR have favorable prognosis, ALNR may lead to poor prognosis. To the best of our knowledge, this study is the first to report the prognosis of these patients.
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Affiliation(s)
- Hirohito Seki
- Department of Breast Surgery, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka-city, Tokyo, 181-8611, Japan.
- Department of Breast Surgery, Saitama Medical Center, Saitama, Japan.
| | - Akiko Ogiya
- Department of Breast Surgery, Japanese Red Cross Medical Center, Tokyo, Japan
- Department of Breast Surgical Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Naomi Nagura
- Department of Breast Surgical Oncology, St. Luke's International Hospital, Tokyo, Japan
| | - Ayaka Shimo
- Department of Breast and Endocrine Surgery, St. Marianna University School of Medicine, Kanagawa, Japan
- Department of Breast and Endocrine Surgery, Kawasaki Municipal Tama Hospital, Kanagawa, Japan
| | - Kazutaka Narui
- Department of Breast and Thyroid Surgery, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
| | - Shinsuke Sasada
- Department of Surgical Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Makoto Ishitobi
- Department of Breast Surgery, Mie University School of Medicine, Mie, Japan
- Department of Breast Surgery, Osaka Habikino Medical Center, Osaka, Japan
| | - Hiroko Nogi
- Department of Breast and Endocrine Surgery, Jikei University School of Medicine, Tokyo, Japan
| | - Naoto Kondo
- Department of Breast Surgery, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | | | - Chikako Yamauchi
- Department of Radiation Oncology, Shiga General Hospital, Shiga, Japan
| | - Hiroki Mori
- Department of Plastic and Reconstructive Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Miho Saiga
- Department of Plastic Surgery, Okayama University Hospital, Okayama, Japan
| | - Naoki Niikura
- Department of Breast Oncology, Tokai University School of Medicine, Kanagawa, Japan
| | - Tadahiko Shien
- Department of Breast and Endocrine Surgery, Okayama University Hospital, Okayama, Japan
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Murata T, Yoshida M, Shiino S, Ogawa A, Watase C, Satomi K, Jimbo K, Maeshima A, Iwamoto E, Takayama S, Suto A. A prediction model for distant metastasis after isolated locoregional recurrence of breast cancer. Breast Cancer Res Treat 2023; 199:57-66. [PMID: 36869991 PMCID: PMC10147732 DOI: 10.1007/s10549-023-06901-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/16/2023] [Indexed: 03/05/2023]
Abstract
PURPOSE The impact of progesterone receptor (PR) status on the prognosis of breast cancer after isolated locoregional recurrence (ILRR) remains unclear. This study evaluated the impact of clinicopathologic factors, including PR status of ILRR, on distant metastasis (DM) after ILRR. METHODS We retrospectively identified 306 patients with ILRR diagnosed at the National Cancer Center Hospital between 1993 and 2021 from the database. Cox proportional hazards analysis was performed to examine factors associated with DM after ILRR. We developed a risk prediction model based on the number of detected risk factors and estimated survival curves using the Kaplan-Meier method. RESULTS During a median follow-up time of 4.7 years after ILRR diagnosis, 86 patients developed DM, and 50 died. Multivariate analysis revealed that seven risk factors were associated with poor distant metastasis-free survival (DMFS): estrogen receptor-positive/PR-negative/human epidermal growth factor receptor 2-negative ILRR, short disease-free interval, recurrence site other than ipsilateral breast, no-resection of ILRR tumor, chemotherapy for the primary tumor, nodal stage in the primary tumor, and no endocrine therapy for ILRR. The predictive model classified patients into 4 groups based on the number of risk factors: low-, intermediate-, high-, and the highest-risk groups with 0 to 1, 2, 3 to 4, and 5 to 7 factors, respectively. This revealed significant variation in DMFS among the groups. A higher number of the risk factors was associated with poorer DMFS. CONCLUSION Our prediction model, which considered the ILRR receptor status, may contribute to the development of a treatment strategy for ILRR.
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Affiliation(s)
- Takeshi Murata
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan.
| | - Masayuki Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Sho Shiino
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Ayumi Ogawa
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Chikashi Watase
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Kaishi Satomi
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Kenjiro Jimbo
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Akiko Maeshima
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Eriko Iwamoto
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Shin Takayama
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Akihiko Suto
- Department of Breast Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
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Lim GH, Alcantara VS, Ng RP, Ng R, Allen JC, Htein MMW, Lim SH, Yan Z, Tan QT. Patterns of breast cancer second recurrences in patients after mastectomy. Breast Cancer Res Treat 2022; 196:583-589. [DOI: 10.1007/s10549-022-06772-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 10/10/2022] [Indexed: 11/24/2022]
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Akcakanat A, Zheng X, Cruz Pico CX, Kim TB, Chen K, Korkut A, Sahin A, Holla V, Tarco E, Singh G, Damodaran S, Mills GB, Gonzalez-Angulo AM, Meric-Bernstam F. Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer. Clin Cancer Res 2021; 27:3243-3252. [PMID: 33782032 PMCID: PMC8172429 DOI: 10.1158/1078-0432.ccr-20-4048] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/10/2020] [Accepted: 03/26/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE Metastatic breast cancer (MBC) is not curable and there is a growing interest in personalized therapy options. Here we report molecular profiling of MBC focusing on molecular evolution in actionable alterations. EXPERIMENTAL DESIGN Sixty-two patients with MBC were included. An analysis of DNA, RNA, and functional proteomics was done, and matched primary and metastatic tumors were compared when feasible. RESULTS Targeted exome sequencing of 41 tumors identified common alterations in TP53 (21; 51%) and PIK3CA (20; 49%), as well as alterations in several emerging biomarkers such as NF1 mutations/deletions (6; 15%), PTEN mutations (4; 10%), and ARID1A mutations/deletions (6; 15%). Among 27 hormone receptor-positive patients, we identified MDM2 amplifications (3; 11%), FGFR1 amplifications (5; 19%), ATM mutations (2; 7%), and ESR1 mutations (4; 15%). In 10 patients with matched primary and metastatic tumors that underwent targeted exome sequencing, discordances in actionable alterations were common, including NF1 loss in 3 patients, loss of PIK3CA mutation in 1 patient, and acquired ESR1 mutations in 3 patients. RNA sequencing in matched samples confirmed loss of NF1 expression with genomic NF1 loss. Among 33 patients with matched primary and metastatic samples that underwent RNA profiling, 14 actionable genes were differentially expressed, including antibody-drug conjugate targets LIV-1 and B7-H3. CONCLUSIONS Molecular profiling in MBC reveals multiple common as well as less frequent but potentially actionable alterations. Genomic and transcriptional profiling demonstrates intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further work is needed to optimize testing and integrated analysis for treatment selection.
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Affiliation(s)
- Argun Akcakanat
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiaofeng Zheng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christian X Cruz Pico
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Aysegul Sahin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vijaykumar Holla
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Emily Tarco
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gopal Singh
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Senthil Damodaran
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gordon B Mills
- Department of Cell, Developmental and Cancer Biology, Department of Medicine, Oregon Health and Science University, Portland, Oregon
- Precision Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Ana Maria Gonzalez-Angulo
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Lee YJ, Park H, Kang CM, Gwark SC, Lee SB, Kim J, Chung IY, Ko BS, Kim HJ, Kim SB, Ahn SD, Gong G, Son BH, Ahn SH, Lee JW. Risk stratification system for groups with a low, intermediate, and high risk of subsequent distant metastasis and death following isolated locoregional recurrence of breast cancer. Breast Cancer Res Treat 2019; 179:315-324. [PMID: 31642987 DOI: 10.1007/s10549-019-05469-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 10/08/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE This study aimed to identify prognostic factors for long-term outcomes among patients with isolated locoregional recurrence (ILRR) of breast cancer as their first failure event. Many prognostic tools have been developed to inform systemic treatment choices in the adjuvant setting, but tools for predicting post-ILRR prognosis are scarce. METHODS A total of 495 patients who experienced ILRR after primary surgery at the Asan Medical Center between 1989 and 2008 were included. All patient information and tumor characteristics at the initial surgery were retrieved from our retrospectively collected database, and ILRRs were categorized as local recurrence or regional recurrence (RR). Distant metastasis-free survival (DMFS), breast cancer-specific survival (BCSS), and overall survival post-ILRR were calculated. RESULTS The median follow-up from the ILRR was 65 months (range 1-249 months), and the 5-year post-ILRR DMFS rate was 58.9%. We found three factors-lymph node metastasis, a disease-free interval < 30 months, and RR as the ILRR type-that were independent prognostic factors for both DMFS [hazard ratio (HR) = 2.08, 1.60, and 1.59; P < 0.001, 0.002, and 0.003, respectively] and BCSS (HR = 2.28, 1.99, and 1.48; P < 0.001, < 0.001, and 0.016, respectively) post-ILRR. Patients were classified into four groups according to the presence these three prognostic indicators: the low-, intermediate-, high-, and extremely high-risk groups. The 5-year post-ILRR DMFS rates were 79.4%, 68.1%, 47.6%, and 36.0%, respectively. CONCLUSIONS This risk stratification system for subsequent distant metastases after ILRR can be used to make more informed decisions regarding prognosis-based local or systemic management strategies.
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Affiliation(s)
- Young Joo Lee
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Heeseung Park
- Department of Surgery, Busan Cancer Center & Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Cheol Min Kang
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sung-Chan Gwark
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sae Byul Lee
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jisun Kim
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Il Yong Chung
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Beom Seok Ko
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Hee Jeong Kim
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sung-Bae Kim
- Department of Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Seung Do Ahn
- Department of Radiation Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Gyungyub Gong
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Byung Ho Son
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Sei-Hyun Ahn
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jong Won Lee
- Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
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Chest wall recurrence in pT1-2N0-1 breast cancer patients after mastectomy without radiotherapy. Breast Cancer Res Treat 2018; 169:507-512. [DOI: 10.1007/s10549-018-4707-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 02/03/2018] [Indexed: 10/18/2022]
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