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Loap P, Kirova Y. Assessment of Radiotherapy as a Standalone Treatment Following Neoadjuvant Chemotherapy in Nonmetastatic Breast Cancer: A SEER Database Analysis. Am J Clin Oncol 2024:00000421-990000000-00231. [PMID: 39363391 DOI: 10.1097/coc.0000000000001146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024]
Abstract
OBJECTIVES Traditional breast cancer management involves surgery followed by systemic therapies. However, advancements in neoadjuvant chemotherapy (NACT) raise questions about the necessity of surgery in cases with an excellent response to NACT. This study investigates the outcomes of radiotherapy without surgery in selected patients with nonmetastatic breast cancer after a complete or substantial response to NACT. METHODS A retrospective study was conducted using the SEER database, reviewing records from 2010 to 2020 for patients with nonmetastatic breast cancer who received NACT, associated with a clinical response, followed by radiotherapy alone. The population included 123 patients, stratified into complete clinical response (cCR) and non-cCR (partial or unspecified clinical response) cohorts. Overall survival (OS) and cancer-specific survival (CSS) were analyzed using Kaplan-Meier and Cox proportional hazards models. RESULTS The median follow-up was 41 months. Among the patients, 17 (13.82%) achieved cCR. The 5-year OS and CSS for the entire cohort were 65.8% and 71%, respectively, with the cCR group achieving 100% rates for both. Age above 60 and larger tumor size (T3 to T4) were associated with lower OS. The non-cCR group showed a 5-year OS of 61.5% and CSS of 67.1%. CONCLUSIONS This study indicates that omitting surgery in patients with a cCR to NACT may be feasible, as evidenced by this subgroup's 100% OS and CSS rates at 5 and 10 years. These promising results support further research into less invasive breast cancer management. However, prospective studies must validate these findings and identify suitable patients for nonsurgical approaches.
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Affiliation(s)
- Pierre Loap
- Department of Radiation Oncology, Institut Curie, Paris, France
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Tasoulis MK, Lee HB, Kuerer HM. Omission of Breast Surgery in Exceptional Responders. Clin Breast Cancer 2024; 24:310-318. [PMID: 38365541 DOI: 10.1016/j.clbc.2024.01.021] [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: 11/16/2023] [Revised: 01/22/2024] [Accepted: 01/28/2024] [Indexed: 02/18/2024]
Abstract
Breast cancer management has transformed significantly over the last decades, primarily through the integration of neoadjuvant systemic therapy (NST) and the evolving understanding of tumor biology, enabling more tailored treatment strategies. The aim of this review is to critically present the historical context and contemporary evidence surrounding the potential of omission of surgery post-NST, focusing on exceptional responders who have achieved a pathologic complete response (pCR). Identifying these exceptional responders before surgery remains a challenge, however standardized image-guided biopsy may allow optimized patient selection. The safety and feasibility of omitting breast and axillary surgeries in these exceptional responders are explored in ongoing clinical trials and the reported preliminary results appear promising. Moreover, understanding patient and physician perspectives regarding the potential elimination of surgery post-NST is integral. While some patients express a preference to omit or minimize surgery, the majority of healthcare providers are intrigued by the prospect of avoiding surgical interventions and endorse further research in this field.
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Affiliation(s)
- Marios-Konstantinos Tasoulis
- Breast Surgery Unit, The Royal Marsden NHS Foundation Trust, London, UK; Division of Breast Cancer Research, The Institute of Cancer Research, London, UK.
| | - Han-Byoel Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Henry Mark Kuerer
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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3
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Edge SB. Invited Commentary: Path to Omission of Axillary Surgery after Neoadjuvant Therapy for Breast Cancer. J Am Coll Surg 2024; 238:311-312. [PMID: 38050969 DOI: 10.1097/xcs.0000000000000892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
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4
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Pfob A, Cai L, Schneeweiss A, Rauch G, Thomas B, Schaefgen B, Kuemmel S, Reimer T, Hahn M, Thill M, Blohmer JU, Hackmann J, Malter W, Bekes I, Friedrichs K, Wojcinski S, Joos S, Paepke S, Degenhardt T, Rom J, Rody A, van Mackelenbergh M, Banys-Paluchowski M, Große R, Reinisch M, Karsten MM, Sidey-Gibbons C, Wallwiener M, Golatta M, Heil J. Minimally Invasive Breast Biopsy After Neoadjuvant Systemic Treatment to Identify Breast Cancer Patients with Residual Disease for Extended Neoadjuvant Treatment: A New Concept. Ann Surg Oncol 2024; 31:957-965. [PMID: 37947974 PMCID: PMC10761434 DOI: 10.1245/s10434-023-14551-8] [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: 06/09/2023] [Accepted: 10/23/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Breast cancer patients with residual disease after neoadjuvant systemic treatment (NAST) have a worse prognosis compared with those achieving a pathologic complete response (pCR). Earlier identification of these patients might allow timely, extended neoadjuvant treatment strategies. We explored the feasibility of a vacuum-assisted biopsy (VAB) after NAST to identify patients with residual disease (ypT+ or ypN+) prior to surgery. METHODS We used data from a multicenter trial, collected at 21 study sites (NCT02948764). The trial included women with cT1-3, cN0/+ breast cancer undergoing routine post-neoadjuvant imaging (ultrasound, MRI, mammography) and VAB prior to surgery. We compared the findings of VAB and routine imaging with the histopathologic evaluation of the surgical specimen. RESULTS Of 398 patients, 34 patients with missing ypN status and 127 patients with luminal tumors were excluded. Among the remaining 237 patients, tumor cells in the VAB indicated a surgical non-pCR in all patients (73/73, positive predictive value [PPV] 100%), whereas PPV of routine imaging after NAST was 56.0% (75/134). Sensitivity of the VAB was 72.3% (73/101), and 74.3% for sensitivity of imaging (75/101). CONCLUSION Residual cancer found in a VAB specimen after NAST always corresponds to non-pCR. Residual cancer assumed on routine imaging after NAST corresponds to actual residual cancer in about half of patients. Response assessment by VAB is not safe for the exclusion of residual cancer. Response assessment by biopsies after NAST may allow studying the new concept of extended neoadjuvant treatment for patients with residual disease in future trials.
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Affiliation(s)
- André Pfob
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
- MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany.
| | - Lie Cai
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Andreas Schneeweiss
- National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany
| | - Geraldine Rauch
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Bettina Thomas
- Coordination Centre for Clinical Trials (KKS), University Heidelberg, Heidelberg, Germany
| | - Benedikt Schaefgen
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Sherko Kuemmel
- Breast Unit, Kliniken Essen-Mitte, Essen, Germany
- Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Toralf Reimer
- Department of Gynecology/Breast Unit, University Hospital Rostock, Rostock, Germany
| | - Markus Hahn
- Department of Gynecology/Breast Unit, University Hospital Tuebingen, Tübingen, Germany
| | - Marc Thill
- Department of Gynecology and Gynecological Oncology/Breast Unit, Agaplesion Markus Hospital Frankfurt, Frankfurt, Germany
| | - Jens-Uwe Blohmer
- Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - John Hackmann
- Department of Gynecology/Breast Unit, Marienhospital, Witten, Germany
| | - Wolfram Malter
- Department of Gynecology and Obstetrics, Medical Faculty, Breast Cancer Center, University of Cologne, Cologne, Germany
| | - Inga Bekes
- Department of Gynecology/Breast Unit, University Hospital Ulm, Ulm, Germany
| | - Kay Friedrichs
- Department of Gynecology/Breast Unit, Jerusalem Hospital Hamburg, Hamburg, Germany
| | - Sebastian Wojcinski
- Department of Gynecology and Obstetrics, Breast Cancer Center, Klinikum Bielefeld Mitte GmbH, Bielefeld, Germany
| | - Sylvie Joos
- Radiologische Allianz Hamburg, Hamburg, Germany
| | - Stefan Paepke
- Frauenklinik, Interdisziplinäres Brustzentrum des Klinikums rechts der Isar der Technischen Universität München, Munich, Germany
| | - Tom Degenhardt
- Department of Gynecology/Breast Unit, University Hospital Munich, Munich, Germany
| | - Joachim Rom
- Department of Gynecology/Breast Unit, Klinikum Frankfurt-Höchst, Frankfurt, Germany
| | - Achim Rody
- Department of Gynecology/Breast Unit, University Hospital Schleswig-Holstein, Lübeck, Germany
| | | | | | - Regina Große
- Department of Gynecology/Breast Unit, University Hospital Halle, Halle, Germany
| | | | - Maria Margarete Karsten
- Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Chris Sidey-Gibbons
- MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Markus Wallwiener
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Michael Golatta
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Breast Unit, Klinikum Sankt Elisabeth, Heidelberg, Germany
| | - Joerg Heil
- Department of Obstetrics and Gynecology, Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
- Breast Unit, Klinikum Sankt Elisabeth, Heidelberg, Germany
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Hariharan N, Rao TS, Rajappa S, Naidu C, Raju K, Koppula V, Sannapareddy K, Sudhir R, Kodandapani S, Fonseca D, Murthy S. Accuracy of Tumor Bed Biopsy for Predicting Pathologic Complete Response After Chemotherapy Among Women With Breast Cancer: Complete Responders in the Breast Study. JCO Glob Oncol 2023; 9:e2300014. [PMID: 37656945 PMCID: PMC10581657 DOI: 10.1200/go.23.00014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 07/01/2023] [Accepted: 07/21/2023] [Indexed: 09/03/2023] Open
Abstract
PURPOSE With the advent of taxanes and targeted agents in neoadjuvant chemotherapy (NACT) for breast cancer, the rates for pathologic complete response (pCR) have been steadily increasing. Surgery in these women serves as a biopsy to confirm or negate a pCR. METHODS All newly diagnosed patients with nonmetastatic breast cancer, planned for NACT, were screened. Eligible patients with a complete or near-complete response to NACT as seen on a mammogram and ultrasound (US) were recruited. A magnetic resonance imaging was performed for these patients for documentation. US-guided core biopsies of the tumor bed (Core Bx) using a 14G needle was performed (minimum four in number), and the results were compared with the final histopathology report after surgery for standard performance parameters. RESULTS This study recruited 65 women of whom 94% were node-positive, and 60% were hormone receptor-negative. The pCR rate was 41.5% and 53.8% for the whole cohort and the hormone receptor-negative subgroup, respectively. The false-negative rate (FNR) for Core Bx was 42.1% (95% CI, 26.3 to 59.2), with a negative predictive value of 59.0% (95% CI, 42.1 to 74.4). Among the hormone receptor-negative tumors, the FNR was 44.4% (95% CI, 21.5 to 69.2) with a negative predictive value of 70.4% (95% CI, 49.8 to 86.2). CONCLUSION The Complete Responders in the Breast study results suggest that ultrasound-guided 14G core needle biopsy of the tumor bed may not be a reliable predictor of pCR in the breast. These results highlight the importance of further research into the omission of surgery in the breast after chemotherapy. This study is registered with Clinical Trials Registry of India (CTRI/2018/01/011122).
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Affiliation(s)
- Nisha Hariharan
- Department of Surgical Oncology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - T. Subramanyeshwar Rao
- Department of Surgical Oncology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Senthil Rajappa
- Department of Medical Oncology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - C.C.K. Naidu
- Department of Surgical Oncology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - K.V.V.N. Raju
- Department of Surgical Oncology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Veeraiah Koppula
- Department of Radiology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Kamala Sannapareddy
- Department of Radiology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Rashmi Sudhir
- Department of Radiology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Suseela Kodandapani
- Department of Pathology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Daphne Fonseca
- Department of Pathology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
| | - Sudha Murthy
- Department of Pathology, Basavatarakam Indo American Cancer Hospital & Research Institute, Hyderabad, India
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Deutsch TM, Pfob A, Brusniak K, Riedel F, Bauer A, Dijkstra T, Engler T, Brucker SY, Hartkopf AD, Schneeweiss A, Sidey-Gibbons C, Wallwiener M. Machine learning and patient-reported outcomes for longitudinal monitoring of disease progression in metastatic breast cancer: a multicenter, retrospective analysis. Eur J Cancer 2023; 188:111-121. [PMID: 37229835 DOI: 10.1016/j.ejca.2023.04.019] [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: 02/27/2023] [Revised: 04/18/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Assessments of health-related quality of life (HRQoL) play an important role in transition to palliative care for women with metastatic breast cancer. We developed machine learning (ML) algorithms to analyse longitudinal HRQoL data and identify patients who may benefit from palliative care due to disease progression. METHODS We recruited patients from two institutions and administered the EuroQoL Visual Analog Scale (EQ-VAS) via an online platform over a 6-month period. We trained a regularised regression algorithm using 10-fold cross-validation to determine if a patient was at high or low risk of disease progression based on changes in the EQ-VAS scores using data of one institution and validated the performance on data of the other institution. Progression-free survival (PFS) was the end-point. We conducted Kaplan-Meier and Cox regression analysis adjusted for clinical risk factors. RESULTS Of 179 patients, 98 (54.7%) had progressive disease after a median follow-up of 14weeks. Using EQ-VAS scores collected at weeks 1-6 to predict disease progression at week 12, in the validation set (n = 63), PFS was significantly lower in the intelligent EQ-VAS high-risk versus low-risk group: median PFS 7 versus 10weeks, log-rank P < 0.038). Intelligent EQ-VAS had the strongest association with PFS (adjusted hazard ratio 2.69, 95% confidence interval 1.17-6.18, P = 0.02). CONCLUSION ML algorithms can analyse changes in longitudinal HRQoL data to identify patients with disease progression earlier than standard follow-up methods. Intelligent EQ-VAS scores were identified as independent prognostic factor. Future studies may validate these results to remotely monitor patients.
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Affiliation(s)
- Thomas M Deutsch
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Heidelberg, Germany
| | - André Pfob
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Heidelberg, Germany; National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany; MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Katharina Brusniak
- Florence-Nigthingale-Hospital, Department of Anaesthesiology and The Intensive Care Unit, Duesseldorf, Germany
| | - Fabian Riedel
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Heidelberg, Germany
| | - Armin Bauer
- Insitute of Women's Health GmbH, Tübingen, Germany
| | | | - Tobias Engler
- Department of Women's Health, University of Tübingen, Tübingen, Germany
| | - Sara Y Brucker
- Department of Women's Health, University of Tübingen, Tübingen, Germany
| | | | - Andreas Schneeweiss
- National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg, Germany
| | - Chris Sidey-Gibbons
- MD Anderson Center for INSPiRED Cancer Care (Integrated Systems for Patient-Reported Data), The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Section of Paitent Centered Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Markus Wallwiener
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Heidelberg, Germany
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7
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Johnson HM, Valero V, Yang WT, Smith BD, Krishnamurthy S, Shen Y, Lin H, Lucci A, Rauch GM, Kuerer HM. Eliminating Breast Surgery for Invasive Cancer with Exceptional Response to Neoadjuvant Systemic Therapy: Prospective Multicenter Clinical Trial Planned Initial Feasibility Endpoint. J Am Coll Surg 2023; 237:101-108. [PMID: 36856291 DOI: 10.1097/xcs.0000000000000670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
BACKGROUND Response to neoadjuvant systemic therapy (NST) for breast cancer enables tailoring of subsequent therapy. Image-guided breast biopsy after NST can accurately predict a pathologic complete response (pCR). The feasibility phase of the clinical trial reported here assesses omission of breast surgery followed by radiotherapy in terms of local recurrence before trial expansion. STUDY DESIGN Women with unicentric, cT1-2 N0-1 M0 triple-negative (TNBC) or human epidermal growth factor receptor 2-positive breast cancer (HER2+BC) cancer with <2 cm residual disease on post-NST imaging were eligible to enroll. If no residual invasive or in situ disease was identified by image-guided, vacuum-assisted core biopsy (VACB), breast surgery was omitted, and radiotherapy delivered. The primary endpoint for the feasibility phase was ipsilateral breast tumor recurrence at 6 months. If any recurrence occurred during the feasibility phase the trial would halt. RESULTS Thirteen patients were enrolled from March 2017 to October 2018. The mean age was 60.8 years (range 51 to 75) and most patients were White (69.2%) and non-Hispanic/Latino (84.6%). All patients had invasive ductal carcinoma (6 TNBC, 7 HER2+BC). Mean tumor size was 2.4 cm (range 0.9 to 5.0) before NST and 0.7 cm (range 0 to 1.8) after NST. Seven patients (53.8%) had residual disease identified on VACB; the remaining 6 (46.2%) comprised the feasibility cohort. At a median follow-up of 44.3 months (range 41.3 to 51.3) there was no ipsilateral breast tumor recurrence in this cohort. CONCLUSIONS These early data suggest that omission of breast surgery in patients with invasive TNBC and HER2+BC with no evidence of residual disease on standardized VACB after NST is potentially feasible. Results from the expansion phase of this clinical trial will be reported per protocol prespecified analyses.
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Affiliation(s)
- Helen M Johnson
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Vicente Valero
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Wei T Yang
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Benjamin D Smith
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Savitri Krishnamurthy
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yu Shen
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Heather Lin
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Anthony Lucci
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gaiane M Rauch
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
| | - Henry M Kuerer
- From the Departments of Breast Surgical Oncology (Johnson, Lucci, Kuerer), University of Texas MD Anderson Cancer Center, Houston, TX
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8
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Zaborowski AM, Wong SM. Neoadjuvant systemic therapy for breast cancer. Br J Surg 2023; 110:765-772. [PMID: 37104057 PMCID: PMC10683941 DOI: 10.1093/bjs/znad103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/02/2023] [Indexed: 04/28/2023]
Affiliation(s)
| | - Stephanie M Wong
- Department of Surgery and Oncology, McGill University Medical School, Montreal, Quebec, Canada
- Segal Cancer Centre, Sir Mortimer B. Davis Jewish General Hospital, Montreal, Quebec, Canada
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Pfob A, Heil J. Artificial intelligence to de-escalate loco-regional breast cancer treatment. Breast 2023; 68:201-204. [PMID: 36842193 PMCID: PMC9988657 DOI: 10.1016/j.breast.2023.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/14/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023] Open
Abstract
In this review, we evaluate the potential and recent advancements in using artificial intelligence techniques to de-escalate loco-regional breast cancer therapy, with a special focus on surgical treatment after neoadjuvant systemic treatment (NAST). The increasing use and efficacy of NAST make the optimal loco-regional management of patients with pathologic complete response (pCR) a clinically relevant knowledge gap. It is hypothesized that patients with pCR do not benefit from therapeutic surgery because all tumor has already been eradicated by NAST. It is unclear, however, how residual cancer after NAST can be reliably excluded prior to surgery to identify patients eligible for omitting breast cancer surgery. Evidence from clinical trials evaluating the potential of imaging and minimally-invasive biopsies to exclude residual cancer suggests that there is a high risk of missing residual cancer. More recently, AI-based algorithms have shown promising results to reliably exclude residual cancer after NAST. This example illustrates the great potential of AI-based algorithms to further de-escalate and individualize loco-regional breast cancer treatment.
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Affiliation(s)
- André Pfob
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Germany; National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Joerg Heil
- Department of Obstetrics & Gynecology, Heidelberg University Hospital, Germany; Breast Centre Heidelberg, Klinik St. Elisabeth, Heidelberg, Germany
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10
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Kuerer HM, Smith BD, Krishnamurthy S, Yang WT, Valero V, Shen Y, Lin H, Lucci A, Boughey JC, White RL, Diego EJ, Rauch GM, Moseley TW, van la Parra RFD, Adrada BE, Leung JWT, Sun SX, Teshome M, Miggins MV, Hunt KK, DeSnyder SM, Ehlers RA, Hwang RF, Colen JS, Arribas, E, Samiian L, Lesnikoski BA, Piotrowski M, Bedrosian I, Chong C, Refinetti AP, Huang M, Candelaria RP, Loveland-Jones C, Mitchell MP, Shaitelman SF. Eliminating breast surgery for invasive breast cancer in exceptional responders to neoadjuvant systemic therapy: a multicentre, single-arm, phase 2 trial. Lancet Oncol 2022; 23:1517-1524. [DOI: 10.1016/s1470-2045(22)00613-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022]
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11
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Kuerer HM. Moving Forward with Omission of Breast Cancer Surgery Following Neoadjuvant Systemic Therapy. Ann Surg Oncol 2022; 29:7942-7944. [PMID: 36002702 DOI: 10.1245/s10434-022-12455-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 08/11/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Henry M Kuerer
- MD Anderson Cancer Network Breast Programs, Division of Surgery, Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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12
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Tasoulis MK, Heil J, Kuerer HM. De-escalating Surgery Among Patients with HER2 + and Triple Negative Breast Cancer. CURRENT BREAST CANCER REPORTS 2022; 14:135-141. [PMID: 35915668 PMCID: PMC9328618 DOI: 10.1007/s12609-022-00453-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2022] [Indexed: 01/09/2023]
Abstract
Purpose of Review De-escalation of surgery has been central in the evolution of multidisciplinary management of breast cancer. Advances in oncology and increasing use of neoadjuvant chemotherapy (NACT) have opened opportunities for further surgical de-escalation especially for HER2 + and triple negative (TN) disease. The aim of this review is to discuss the recent data on de-escalation of surgery as well as the future directions. Recent Findings Patients with TN and HER2 + breast cancer with excellent response to NACT would be the ideal candidates for surgical de-escalation. Post-NACT image-guided biopsy, potentially combined with machine learning algorithms, may accurately identify patients achieving pathologic complete response that would be eligible for clinical trials assessing safety of omission of breast and axillary surgery. Summary Multidisciplinary research is required to further support results of preliminary studies. Current data point towards a future when even less or no surgery may be required for exceptional responders.
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Affiliation(s)
- Marios-Konstantinos Tasoulis
- Breast Surgery Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ UK
- Division of Breast Cancer Research, The Institute of Cancer Research, Old Brompton Road, London, SW7 3RP UK
| | - Joerg Heil
- Department of Obstetrics and Gynecology, University Breast Unit, Heidelberg University Hospital, Heidelberg, Germany
| | - Henry M. Kuerer
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
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