1
|
Montella L, Di Marino L, Marino MA, Riccio V, Del Gaudio N, Altucci L, Berretta M, Facchini G. Case report: An ultrasound-based approach as an easy tool to evaluate hormone receptor-positive HER-2-negative breast cancer in advanced/metastatic settings: preliminary data of the Plus-ENDO study. Front Oncol 2024; 14:1295772. [PMID: 38690171 PMCID: PMC11058846 DOI: 10.3389/fonc.2024.1295772] [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: 09/17/2023] [Accepted: 03/11/2024] [Indexed: 05/02/2024] Open
Abstract
Background Hormone receptor-positive tumors are unlikely to exhibit a complete pathological tumor response. The association of CDK 4/6 inhibitor plus hormone therapy has changed this perspective. Case presentation In this study, we retrospectively reviewed the charts of patients with a diagnosis of luminal A/B advanced/metastatic tumors treated with a CDK 4/6 inhibitor-based therapy. In this part of the study, we present clinical and ultrasound evaluation. Eight female patients were considered eligible for the study aims. Three complete and five partial responses were reported, including a clinical tumor response of 50% or more in five out of nine assessed lesions (55%). All patients showed a response on ultrasound. The mean lesion size measured by ultrasound was 27.1 ± 15.02 mm (range, 6-47 mm) at the baseline; 16.08 ± 14.6 mm (range, 0-40 mm) after 4 months (T1); and 11.7 ± 12.9 mm (range, 0-30 mm) at the 6 months follow-up (T2). Two patients underwent surgery. The radiological complete response found confirmation in a pathological complete response, while the partial response matched a moderate residual disease. Conclusion The evaluation of breast cancer by ultrasound is basically informative of response and may be an easy and practical tool to monitor advanced tumors, especially in advanced/unfit patients who are reluctant to invasive exams.
Collapse
Affiliation(s)
- Liliana Montella
- Oncology Operative Unit, “Santa Maria delle Grazie” Hospital, ASL Napoli 2 NORD, Pozzuoli, Italy
| | | | | | | | - Nunzio Del Gaudio
- Department of Precision Medicine, “Luigi Vanvitelli” University of Campania, Napoli, Italy
| | - Lucia Altucci
- Department of Precision Medicine, “Luigi Vanvitelli” University of Campania, Napoli, Italy
- Molecular Biology and Genetics Research Institute, Biogem, Ariano Irpino, Italy
| | - Massimiliano Berretta
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Gaetano Facchini
- Oncology Operative Unit, “Santa Maria delle Grazie” Hospital, ASL Napoli 2 NORD, Pozzuoli, Italy
| |
Collapse
|
2
|
Wang H, Yee D, Potter D, Jewett P, Yau C, Beckwith H, Watson A, O'Grady N, Wilson A, Brain S, Pohlmann P, Blaes A. Impact of body mass index on pathological response after neoadjuvant chemotherapy: results from the I-SPY 2 trial. Breast Cancer Res Treat 2024; 204:589-597. [PMID: 38216819 PMCID: PMC10959799 DOI: 10.1007/s10549-023-07214-5] [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: 05/11/2023] [Accepted: 12/05/2023] [Indexed: 01/14/2024]
Abstract
PURPOSE Increased body mass index (BMI) has been associated with poor outcomes in women with breast cancer. We evaluated the association between BMI and pathological complete response (pCR) in the I-SPY 2 trial. METHODS 978 patients enrolled in the I-SPY 2 trial 3/2010-11/2016 and had a recorded baseline BMI prior to treatment were included in the analysis. Tumor subtypes were defined by hormone receptor and HER2 status. Pretreatment BMI was categorized as obese (BMI ≥ 30 kg/m2), overweight (25 ≤ BMI < 30 kg/m2), and normal/underweight (< 25 kg/m2). pCR was defined as elimination of detectable invasive cancer in the breast and lymph nodes (ypT0/Tis and ypN0) at the time of surgery. Logistic regression analysis was used to determine associations between BMI and pCR. Event-free survival (EFS) and overall survival (OS) between different BMI categories were examined using Cox proportional hazards regression. RESULTS The median age in the study population was 49 years. pCR rates were 32.8% in normal/underweight, 31.4% in overweight, and 32.5% in obese patients. In univariable analysis, there was no significant difference in pCR with BMI. In multivariable analysis adjusted for race/ethnicity, age, menopausal status, breast cancer subtype, and clinical stage, there was no significant difference in pCR after neoadjuvant chemotherapy for obese compared with normal/underweight patients (OR = 1.1, 95% CI 0.68-1.63, P = 0.83), and for overweight compared with normal/underweight (OR = 1, 95% CI 0.64-1.47, P = 0.88). We tested for potential interaction between BMI and breast cancer subtype; however, the interaction was not significant in the multivariable model (P = 0.09). Multivariate Cox regression showed there was no difference in EFS (P = 0.81) or OS (P = 0.52) between obese, overweight, and normal/underweight breast cancer patients with a median follow-up time of 3.8 years. CONCLUSION We found no difference in pCR rates by BMI with actual body weight-based neoadjuvant chemotherapy in this biologically high-risk breast cancer population in the I-SPY2 trial.
Collapse
Affiliation(s)
- Haiyun Wang
- Cancer Care Associates of York, York, PA, USA
| | - Douglas Yee
- Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA
| | - David Potter
- Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA
| | - Patricia Jewett
- Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA
| | - Christina Yau
- University of California San Francisco, San Francisco, USA
| | - Heather Beckwith
- Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA
| | | | | | - Amy Wilson
- Quantum Leap Healthcare Collaborative, San Francisco, USA
| | - Susie Brain
- University of California San Francisco, San Francisco, USA
| | - Paula Pohlmann
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - Anne Blaes
- Division of Hematology, Oncology and Transplantation, University of Minnesota, 420 Delaware St SE, MMC 480, Minneapolis, MN, 55455, USA.
| |
Collapse
|
3
|
Harborg S, Kjærgaard KA, Thomsen RW, Borgquist S, Cronin-Fenton D, Hjorth CF. New Horizons: Epidemiology of Obesity, Diabetes Mellitus, and Cancer Prognosis. J Clin Endocrinol Metab 2024; 109:924-935. [PMID: 37552777 DOI: 10.1210/clinem/dgad450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/30/2023] [Accepted: 07/31/2023] [Indexed: 08/10/2023]
Abstract
The global prevalence of obesity and diabetes mellitus has increased in parallel with increasing cancer incidence, due to environmental and lifestyle factors and population aging. Metabolic diseases are associated with increased cancer risk, so a growing number of patients with cancer have coexistent obesity and/or diabetes mellitus. In this narrative review, we highlight recent evidence on the clinical impact of obesity and diabetes mellitus on the prognosis of prostate, breast, and colorectal cancer, and provide an overview of the underlying mechanisms. There is evidence that obesity is associated with increased risk of recurrence, and all-cause and cancer-specific mortality among adults with prostate, breast, and colorectal cancer. Diabetes mellitus is associated with increased all-cause and cancer-specific mortality for these 3 cancers, beyond any impact of obesity. Evidence also suggests increased risk of colorectal cancer recurrence in patients with diabetes mellitus. The underlying mechanisms are multifactorial and likely include hormonal imbalances and chronic inflammation that promote cancer cell growth. Obesity and diabetes mellitus are associated with increased risk of complications and side effects of cancer treatment. Associated comorbidities such as impaired kidney function, cardiovascular disease, and neuropathies may preclude the use of guideline cancer treatment and are competing causes of death. Cancer patients with metabolic diseases require a designated clinical program and a multidisciplinary approach involving oncologists, endocrinologists, surgeons, nutritionists, and physiotherapists, to ensure coordinated and optimized patient care.
Collapse
Affiliation(s)
- Sixten Harborg
- Department of Oncology, Aarhus University Hospital, 8200 Aarhus N, Denmark
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus N, Denmark
| | - Kasper A Kjærgaard
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus N, Denmark
| | - Reimar Wernich Thomsen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus N, Denmark
| | - Signe Borgquist
- Department of Oncology, Aarhus University Hospital, 8200 Aarhus N, Denmark
| | - Deirdre Cronin-Fenton
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus N, Denmark
| | - Cathrine F Hjorth
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, 8200 Aarhus N, Denmark
| |
Collapse
|
4
|
Gündoğdu A, Uluşahin M, Çekiç AB, Kazaz SN, Güner A. Pathological complete response and associated factors in breast cancer after neoadjuvant chemotherapy: A retrospective study. Turk J Surg 2024; 40:73-81. [PMID: 39036007 PMCID: PMC11257731 DOI: 10.47717/turkjsurg.2024.6308] [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: 12/10/2023] [Accepted: 03/17/2024] [Indexed: 07/23/2024]
Abstract
Objectives This study aimed to determine clinical and pathological factors that identify a pathological complete response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). Material and Methods A retrospective, single-center study was conducted in women over the age of 18 who had been diagnosed with pathologically confirmed invasive breast cancer and who had received NAC between July 2016 and October 2021. Patient demographics, clinical, radiological, treatment, and pathological data were reviewed from the electronic hospital records. The primary outcome of interest was pCR, defined as the absence of residual invasive breast cancer in both the breast and axillary lymph nodes. Multivariable logistic regression analysis was used to identify factors associated with pCR. Results A total of 119 patients were included in the analysis. The distribution of age was 54.5 ± 11.5 years. pCR was observed in 33 (27.7%) patients. pCR for breast tissue was observed in 43 (36.1%) patients. There was no statistically significant relation between the clinical stage and pCR. Age, age at first labor, extent of disease in the breast, NAC completeness, clinical tumor size (cT) stage, clinical lymph node (cN) stage, and molecular subtype were analyzed in a multivariable model. Analysis showed that molecular subtype was the only independent factor related to pCR. pCR rates across molecular subtypes were: 8.7% in luminal-A, 10.8% in luminal-B, 54.5% in human epidermal growth factor receptor 2 (HER-2)-positive, 42.4% in luminal-B (HER-2 positive) and 46.7% in triple-negative. There was no statistically significant difference between luminal-A and luminal-B subgroups (odds ratio 1.15, 95% confidence interval, 0.19-9.35, p= 0.881). Despite the limited number of patients in HER2-positive and triple-negative groups, both demonstrated statistically significant higher odds compared to reference group. Conclusion The presented study underscores the relevance of molecular subtypes in determining the response to neoadjuvant chemotherapy in breast cancer patients. Particularly HER2-positive and triple-negative subtypes may demonstrate more favorable response rates.
Collapse
Affiliation(s)
- Adnan Gündoğdu
- Department of General Surgery, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
| | - Mehmet Uluşahin
- Department of General Surgery, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
| | - Arif Burak Çekiç
- Department of General Surgery, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
| | - Seher Nazlı Kazaz
- Department of Medical Oncology, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
- Clinic of Medical Oncology, Medical Park Trabzon Karadeniz Hospital, Trabzon, Türkiye
| | - Ali Güner
- Department of General Surgery, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
- Department of Biostatistics and Medical Informatics, Karadeniz Technical University Institute of Medical Science, Trabzon, Türkiye
| |
Collapse
|
5
|
Sanft T, Harrigan M, McGowan C, Cartmel B, Zupa M, Li FY, Ferrucci LM, Puklin L, Cao A, Nguyen TH, Neuhouser ML, Hershman DL, Basen-Engquist K, Jones BA, Knobf T, Chagpar AB, Silber A, Tanasijevic A, Ligibel JA, Irwin ML. Randomized Trial of Exercise and Nutrition on Chemotherapy Completion and Pathologic Complete Response in Women With Breast Cancer: The Lifestyle, Exercise, and Nutrition Early After Diagnosis Study. J Clin Oncol 2023; 41:5285-5295. [PMID: 37656930 PMCID: PMC10691793 DOI: 10.1200/jco.23.00871] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/31/2023] [Accepted: 07/19/2023] [Indexed: 09/03/2023] Open
Abstract
PURPOSE Successful completion of chemotherapy is critical to improve breast cancer outcomes. Relative dose intensity (RDI), defined as the ratio of chemotherapy delivered to prescribed, is a measure of chemotherapy completion and is associated with cancer mortality. The effect of exercise and eating a healthy diet on RDI is unknown. We conducted a randomized trial of an exercise and nutrition intervention on RDI and pathologic complete response (pCR) in women diagnosed with breast cancer initiating chemotherapy. METHODS One hundred seventy-three women with stage I-III breast cancer were randomly assigned to usual care (UC; n = 86) or a home-based exercise and nutrition intervention with counseling sessions delivered by oncology-certified registered dietitians (n = 87). Chemotherapy dose adjustments and delays and pCR were abstracted from electronic medical records. T-tests and chi-square tests were used to examine the effect of the intervention versus UC on RDI and pCR. RESULTS Participants randomly assigned to intervention had greater improvements in exercise and diet quality compared with UC (P < .05). RDI was 92.9% ± 12.1% and 93.6% ± 11.1% for intervention and UC, respectively (P = .69); the proportion of patients in the intervention versus UC who achieved ≥85% RDI was 81% and 85%, respectively (P = .44). The proportion of patients who had at least one dose reduction and/or delay was 38% intervention and 36% UC (P = .80). Among 72 women who received neoadjuvant chemotherapy, women randomly assigned to intervention were more likely to have a pCR than those randomly assigned to UC (53% v 28%; P = .037). CONCLUSION Although a diet and exercise intervention did not affect RDI, the intervention was associated with a higher pCR in patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative and triple-negative breast cancer undergoing neoadjuvant chemotherapy.
Collapse
Affiliation(s)
- Tara Sanft
- Yale University School of Medicine, New Haven, CT
- Yale Cancer Center, New Haven, CT
| | | | | | - Brenda Cartmel
- Yale Cancer Center, New Haven, CT
- Yale School of Public Health, New Haven, CT
| | | | | | - Leah M. Ferrucci
- Yale Cancer Center, New Haven, CT
- Yale School of Public Health, New Haven, CT
| | | | - Anlan Cao
- Yale School of Public Health, New Haven, CT
| | | | | | | | | | - Beth A. Jones
- Yale Cancer Center, New Haven, CT
- Yale School of Public Health, New Haven, CT
| | - Tish Knobf
- Yale Cancer Center, New Haven, CT
- Yale School of Nursing, New Haven, CT
| | - Anees B. Chagpar
- Yale University School of Medicine, New Haven, CT
- Yale Cancer Center, New Haven, CT
| | - Andrea Silber
- Yale University School of Medicine, New Haven, CT
- Yale Cancer Center, New Haven, CT
| | | | | | - Melinda L. Irwin
- Yale Cancer Center, New Haven, CT
- Yale School of Public Health, New Haven, CT
| |
Collapse
|
6
|
Ma SJ, Khan M, Chatterjee U, Santhosh S, Hashmi M, Gill J, Yu B, Iovoli A, Farrugia M, Wooten K, Gupta V, McSpadden R, Yu H, Kuriakose MA, Markiewicz MR, Al-Afif A, Hicks WL, Seshadri M, Ray AD, Repasky E, Singh AK. Association of Body Mass Index With Outcomes Among Patients With Head and Neck Cancer Treated With Chemoradiotherapy. JAMA Netw Open 2023; 6:e2320513. [PMID: 37368400 DOI: 10.1001/jamanetworkopen.2023.20513] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/28/2023] Open
Abstract
Importance Combined modality therapy, such as chemoradiotherapy, often results in significant morbidity among patients with head and neck cancer. Although the role of body mass index (BMI) varies based on cancer subtypes, its association with treatment response, tumor recurrence, and survival outcomes among patients with head and neck cancer remains unclear. Objective To evaluate the role of BMI in treatment response, tumor recurrence, and survival outcomes among patients with head and neck cancer undergoing chemoradiotherapy. Design, Setting, and Participants This retrospective, observational, single-institution cohort study conducted at a comprehensive cancer center included 445 patients with nonmetastatic head and neck cancer who underwent chemoradiotherapy from January 1, 2005, to January 31, 2021. Exposure Normal vs overweight or obese BMI. Main Outcomes and Measures Metabolic response after chemoradiotherapy, locoregional failure (LRF), distant failure (DF), overall survival (OS), and progression-free survival (PFS), with Bonferroni correction used to adjust for multiple comparisons and P < .025 being considered statistically significant. Results A total of 445 patients (373 men [83.8%]; median age, 61 years [IQR, 55-66 years]; 107 [24.0%] with normal BMI, 179 [40.2%] with overweight BMI, and 159 [35.7%] with obese BMI) were included for analysis. Median follow-up was 48.1 months (IQR, 24.7-74.9 months). On Cox proportional hazards regression multivariable analysis, only overweight BMI was associated with improved OS (5-year OS, 71.5% vs 58.4%; adjusted hazard ratio [AHR], 0.59 [95% CI, 0.39-0.91]; P = .02) and PFS (5-year PFS, 68.3% vs 50.8%; AHR, 0.51 [95% CI, 0.34-0.75]; P < .001). On logistic multivariable analysis, overweight BMI (91.6% vs 73.8%; adjusted odds ratio [AOR], 0.86 [95% CI, 0.80-0.93]; P < .001) and obese BMI (90.6% vs 73.8%; AOR, 0.89 [95% CI, 0.81-0.96]; P = .005) were associated with complete metabolic response on follow-up positron emission tomography-computed tomography after treatments. On Fine-Gray multivariable analysis, overweight BMI was associated with reduction in LRF (5-year LRF, 7.0% vs 25.9%; AHR, 0.30 [95% CI, 0.12-0.71]; P = .01), but not DF (5-year DF, 17.4% vs 21.5%; AHR, 0.92 [95% CI, 0.47-1.77]; P = .79). Obese BMI was not associated with LRF (5-year LRF, 10.4% vs 25.9%; AHR, 0.63 [95% CI, 0.29-1.37]; P = .24) or DF (5-year DF, 15.0% vs 21.5%; AHR, 0.70 [95% CI, 0.35-1.38]; P = .30). Conclusion In this cohort study of patients with head and neck cancer, when compared with normal BMI, overweight BMI was an independent factor favorably associated with complete response after treatments, OS, PFS, and LRF. Further investigations are warranted to improve understanding on the role of BMI among patients with head and neck cancer.
Collapse
Affiliation(s)
- Sung Jun Ma
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Michael Khan
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | - Udit Chatterjee
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Sharon Santhosh
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | | | - Jasmin Gill
- University at Buffalo, The State University of New York, Buffalo
| | - Brian Yu
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | - Austin Iovoli
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Mark Farrugia
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Kimberly Wooten
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Vishal Gupta
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Ryan McSpadden
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Han Yu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Moni A Kuriakose
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Michael R Markiewicz
- Department of Oral and Maxillofacial Surgery, School of Dental Medicine, University at Buffalo, The State University of New York, Buffalo
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo
| | - Ayham Al-Afif
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Wesley L Hicks
- Department of Head and Neck Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Mukund Seshadri
- Department of Oral Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Andrew D Ray
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Elizabeth Repasky
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Anurag K Singh
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| |
Collapse
|
7
|
Wang H, Yee D, Potter D, Jewett P, Yau C, Beckwith H, Watson A, O'Grady N, Wilson A, Brain S, Pohlmann P, Blaes A. Impact of Body Mass Index on Pathological Response after Neoadjuvant Chemotherapy: Results from the I-SPY 2 trial. RESEARCH SQUARE 2023:rs.3.rs-2588168. [PMID: 37397981 PMCID: PMC10312926 DOI: 10.21203/rs.3.rs-2588168/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Purpose Increased body mass index (BMI) has been associated with poor outcomes in women with breast cancer. We evaluated the association between BMI and pathological complete response (pCR) in the I-SPY 2 trial. Methods 978 patientsenrolled in the I-SPY 2 trial 3/2010-11/2016 and had a recorded baseline BMI prior to treatment were included in the analysis. Tumor subtypes were defined by hormone receptor and HER2 status. Pretreatment BMI was categorized as obese (BMI≥30 kg/m2), overweight (25≤BMI < 30 kg/m2), and normal/underweight (< 25 kg/m2). pCR was defined as elimination of detectable invasive cancer in the breast and lymph nodes (ypT0/Tis and ypN0) at the time of surgery. Logistic regression analysis was used to determine associations between BMI and pCR. Event-free survival (EFS) and overall survival (OS) between different BMI categories were examined using Cox proportional hazards regression. Results The median age in the study population was 49 years. pCR rates were 32.8% in normal/underweight, 31.4% in overweight, and 32.5% in obese patients. In univariable analysis, there was no significant difference in pCR with BMI. In multivariable analysis adjusted for race/ethnicity, age, menopausal status, breast cancer subtype, and clinical stage, there was no significant difference in pCR after neoadjuvant chemotherapy for obese compared with normal/underweight patients (OR = 1.1, 95% CI: 0.68-1.63, p = 0.83), and for overweight compared with normal/underweight (OR = 1, 95% CI: 0.64-1.47, p = 0.88). We tested for potential interaction between BMI and breast cancer subtype; however, the interaction was not significant in the multivariable model (p = 0.09). Multivariate Cox regression showed there was no difference in EFS (p = 0.81) or OS (p = 0.52) between obese, overweight, and normal/underweight breast cancer patients with a median follow-up time of 3.8 years. Conclusions We found no difference in pCR rates by BMI with actual body weight based neoadjuvant chemotherapy in this biologically high-risk breast cancer population in the I-SPY2 trial.
Collapse
Affiliation(s)
| | - Douglas Yee
- University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine
| | - David Potter
- University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine
| | - Patricia Jewett
- University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine
| | | | - Heather Beckwith
- University of Minnesota Department of Medicine: University of Minnesota Twin Cities Department of Medicine
| | | | | | | | | | - Paula Pohlmann
- MD Anderson Nellie B Connally Breast Center: The University of Texas MD Anderson Cancer Center Nellie B Connally Breast Center
| | | |
Collapse
|
8
|
Chen L, Wu F, Chen X, Chen Y, Deng L, Cai Q, Wu L, Guo W, Chen M, Li Y, Zhang W, Jin X, Chen H, Nie Q, Wu X, Lin Y, Wang C, Fu F. Impact of body mass index in therapeutic response for HER2 positive breast cancer treated with neoadjuvant targeted therapy: a multi-center study and meta-analysis. NPJ Breast Cancer 2023; 9:46. [PMID: 37258524 DOI: 10.1038/s41523-023-00552-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 05/19/2023] [Indexed: 06/02/2023] Open
Abstract
While overweight/obesity has become a major public health issue worldwide, any association between body mass index (BMI) and therapeutic response in neoadjuvant targeted therapy treated HER2 positive breast cancer patients remain unclear. The information from a total of four-hundred and ninety-one neoadjuvant targeted therapy treated HER2 positive breast cancer patients from four institutions were retrospectively collected. Univariate and multivariate logistic analysis was developed to determine the association between BMI and therapeutic response. A meta-analysis of published literature was then conducted to confirm the effect of overweight/obesity on pCR for patients treated with neoadjuvant targeted therapy. Restricted cubic spline (RCS) adjusted for confounding factors demonstrated a decrease pCR with increasing BMI (OR = 0.937, P = 0.045). Patients were then categorized into under/normal weight (n = 299) and overweight/obesity (n = 192). Overweight/obese patients were independently associated with a poor therapeutic response. In the subgroup analysis, a significant negative impact of overweight/obesity on pCR can be observed both in single-targeted (OR = 0.556; P = 0.02) and dual-targeted (OR = 0.392; P = 0.021) populations. Six eligible studies involving 984 neoadjuvant targeted therapy treated HER2 positive breast cancer patients were included in the meta-analysis. The meta-analysis also demonstrated that overweight/obesity was significantly associated with a poor response to neoadjuvant anti-HER2 therapy (OR = 0.68; P = 0.007). Our result show that overweight and obese HER2 positive breast cancer patients are less likely to achieve pCR after neoadjuvant targeted therapy.
Collapse
Affiliation(s)
- Lili Chen
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Fan Wu
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Xiaobin Chen
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Yazhen Chen
- Department of Breast Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, 363000, Zhangzhou, Fujian, P.R. China
| | - Lin Deng
- Department of Oncology, No. 900 Hospital of The Joint Logistic Support Force, Fuzhou, China
| | - Qindong Cai
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Long Wu
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wenhui Guo
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Minyan Chen
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Yan Li
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Wenzhe Zhang
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Xuan Jin
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Hanxi Chen
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Qian Nie
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China
| | - Xiong Wu
- Department of Breast Surgery, Zhangzhou Affiliated Hospital of Fujian Medical University, 363000, Zhangzhou, Fujian, P.R. China.
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China.
| | - Chuan Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China.
| | - Fangmeng Fu
- Department of Breast Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, Fujian Province, China.
- Breast Cancer Institute, Fujian Medical University, 350001, Fuzhou, Fujian Province, China.
| |
Collapse
|
9
|
Akingbesote ND, Owusu D, Liu R, Cartmel B, Ferrucci LM, Zupa M, Lustberg MB, Sanft T, Blenman KRM, Irwin ML, Perry RJ. A review of the impact of energy balance on triple-negative breast cancer. J Natl Cancer Inst Monogr 2023; 2023:104-124. [PMID: 37139977 DOI: 10.1093/jncimonographs/lgad011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 02/17/2023] [Accepted: 02/22/2023] [Indexed: 05/05/2023] Open
Abstract
Cancer cells cannot proliferate without sufficient energy to generate biomass for rapid cell division, as well as to fuel their functions at baseline. For this reason, many recent observational and interventional studies have focused on increasing energy expenditure and/or reducing energy intake during and after cancer treatment. The impact of variance in diet composition and in exercise on cancer outcomes has been detailed extensively elsewhere and is not the primary focus of this review. Instead, in this translational, narrative review we examine studies of how energy balance impacts anticancer immune activation and outcomes in triple-negative breast cancer (TNBC). We discuss preclinical, clinical observational, and the few clinical interventional studies on energy balance in TNBC. We advocate for the implementation of clinical studies to examine how optimizing energy balance-through changes in diet and/or exercise-may optimize the response to immunotherapy in people with TNBC. It is our conviction that by taking a holistic approach that includes energy balance as a key factor to be considered during and after treatment, cancer care may be optimized, and the detrimental effects of cancer treatment and recovery on overall health may be minimized.
Collapse
Affiliation(s)
- Ngozi D Akingbesote
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
| | - Dennis Owusu
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
- Kwame Nkrumah University of Science and Technology, Kumasi, Ashanti Region, Ghana
| | - Ryan Liu
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
- Cedar Park High School, Cedar Park, TX, USA
| | - Brenda Cartmel
- Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Leah M Ferrucci
- Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | | | - Maryam B Lustberg
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Tara Sanft
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Kim R M Blenman
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
- Department of Computer Science, Yale University, New Haven, CT, USA
| | - Melinda L Irwin
- Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Rachel J Perry
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| |
Collapse
|
10
|
To NH, Gabelle-Flandin I, Luong TMH, Loganadane G, Ouidir N, Boukhobza C, Grellier N, Verry C, Thiolat A, Cohen JL, Radosevic-Robin N, Belkacemi Y. Pathologic Response to Neoadjuvant Sequential Chemoradiation Therapy in Locally Advanced Breast Cancer: Preliminary, Translational Results from the French Neo-APBI-01 Trial. Cancers (Basel) 2023; 15:cancers15072030. [PMID: 37046691 PMCID: PMC10092968 DOI: 10.3390/cancers15072030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/22/2023] [Accepted: 03/28/2023] [Indexed: 03/31/2023] Open
Abstract
Background: Radiation therapy (RT), a novel approach to boost the anticancer immune response, has been progressively evaluated in the neoadjuvant setting in breast cancer (BC). Purpose: We aimed to evaluate immunity-related indicators of response to neoadjuvant chemoradiation therapy (NACRT) in BC for better treatment personalization. Patients and Methods: We analyzed data of the first 42 patients included in the randomized phase 2 Neo-APBI-01 trial comparing standard neoadjuvant chemotherapy (NACT) and NACRT regimen in locally advanced triple-negative (TN) and luminal B (LB) subtype BC. Clinicopathological parameters, blood counts and the derived parameters, total tumor-infiltrating lymphocytes (TILs) and their subpopulation, as well as TP53 mutation status, were assessed as predictors of response. Results: Twenty-one patients were equally assigned to each group. The pathologic complete response (pCR) was 33% and 38% in the NACT and NACRT groups, respectively, with a dose-response effect. Only one LB tumor reached pCR after NACRT. Numerous parameters associated with response were identified, which differed according to the assigned treatment. In the NACRT group, baseline hemoglobin of ≥13 g/dL and body mass index of <26 were strongly associated with pCR. Higher baseline neutrophils-to-lymphocytes ratio, total TILs, and T-effector cell counts were favorable for pCR. Conclusion: This preliminary analysis identified LB and low-TIL tumors as poor responders to the NACRT protocol, which delivered RT after several cycles of chemotherapy. These findings will allow for amending the selection of patients for the trial and help better design future trials of NACRT in BC.
Collapse
|
11
|
Wang H, Lu Y, Li Y, Li S, Zhang X, Geng C. Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Combining Both Clinicopathological and Imaging Indicators. Curr Probl Cancer 2022; 46:100914. [PMID: 36351312 DOI: 10.1016/j.currproblcancer.2022.100914] [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: 07/29/2022] [Revised: 10/02/2022] [Accepted: 10/09/2022] [Indexed: 11/06/2022]
Abstract
To construct a nomogram for early prediction of pathological complete response (pCR) in patients with breast cancer (BC) after neoadjuvant chemotherapy (NAC). A total of 257 patients with BC from the fourth hospital of Hebei Medical University were included in the study. The patients were divided into training (n = 128) and validation groups (n = 129). Variables were screened using univariate and multivariate logistic regression analyses, and the nomogram model was set up based on the training group. The training and validation groups were validated using the receiver operating characteristic (ROC) curves and calibration plots. The diagnostic value of the nomogram was evaluated using decision curve analysis (DCA). Indicators such as hormone receptor status, clinical TNM stage, and change rate in apparent diffusion coefficient of breast magnetic resonance imaging after two NAC cycles were used for nomogram construction. The calibration plots showed high consistency between nomogram-predicted and actual pCR probabilities in the training and validation groups. The areas under the curve of the ROC curve with discrimination ability were 0.942 and 0.921 in the training and validation groups, respectively. This showed an excellent discrimination ability of our nomogram for pCR prediction. Further, DCA showed favorable diagnostic value in our model. The nomogram may be instructive to clinicians for early prediction of pCR and helpful to adjust the treatment program on time in neoadjuvant management.
Collapse
Affiliation(s)
- Haoqi Wang
- Breast Disease Diagnostic and Therapeutic Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yuyang Lu
- Thyroid and Breast Department, Cangzhou Central Hospital, Cangzhou, Hebei, China
| | - Yilun Li
- Breast Disease Diagnostic and Therapeutic Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Sainan Li
- Breast Disease Diagnostic and Therapeutic Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xi Zhang
- Breast Disease Diagnostic and Therapeutic Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Cuizhi Geng
- Breast Disease Diagnostic and Therapeutic Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
| |
Collapse
|
12
|
Kehm RD, Llanos AAM, McDonald JA, Tehranifar P, Terry MB. Evidence-Based Interventions for Reducing Breast Cancer Disparities: What Works and Where the Gaps Are? Cancers (Basel) 2022; 14:cancers14174122. [PMID: 36077659 PMCID: PMC9455068 DOI: 10.3390/cancers14174122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 01/26/2023] Open
Abstract
The National Cancer Institute (NCI) has established an online repository of evidence-based cancer control programs (EBCCP) and increasingly calls for the usage of these EBCCPs to reduce the cancer burden. To inventory existing EBCCPs and identify remaining gaps, we summarized NCI's EBCCPs relevant to reducing breast cancer risk with an eye towards interventions that address multiple levels of influence in populations facing breast cancer disparities. For each program, the NCI EBCCP repository provides the following expert panel determined summary metrics: (a) program ratings (1-5 scale, 5 best) of research integrity, intervention impact, and dissemination capability, and (b) RE-AIM framework assessment (0-100%) of program reach, effectiveness, adoption, and implementation. We quantified the number of EBCCPs that met the quality criteria of receiving a score of ≥3 for research integrity, intervention impact, and dissemination capability, and receiving a score of ≥50% for available RE-AIM reach, effectiveness, adoption, and implementation. For breast cancer risk reduction, we assessed the presence and quality of EBCCPs related to physical activity (PA), obesity, alcohol, tobacco control in early life, breastfeeding, and environmental chemical exposures. Our review revealed several major gaps in EBCCPs for reducing the breast cancer burden: (1) there are no EBCCPs for key breast cancer risk factors including alcohol, breastfeeding, and environmental chemical exposures; (2) among the EBCPPs that exist for PA, obesity, and tobacco control in early life, only a small fraction (24%, 17% and 31%, respectively) met all the quality criteria (≥3 EBCCP scores and ≥50% RE-AIM scores) and; (3) of those that met the quality criteria, only two PA interventions, one obesity, and no tobacco control interventions addressed multiple levels of influence and were developed in populations facing breast cancer disparities. Thus, developing, evaluating, and disseminating interventions to address important risk factors and reduce breast cancer disparities are needed.
Collapse
Affiliation(s)
- Rebecca D. Kehm
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10033, USA
| | - Adana A. M. Llanos
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10033, USA
| | - Jasmine A. McDonald
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10033, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10033, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, 1130 St Nicholas Ave, New York, NY 10033, USA
- Correspondence: ; Tel.: +1-212-305-4915
| |
Collapse
|
13
|
Lin L, Soesan M, van Balen DEM, Beijnen JH, Huitema ADR. The influence of body mass index on the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy in women with early-stage breast cancer. Breast Cancer Res Treat 2022; 195:325-331. [PMID: 35974240 PMCID: PMC9464742 DOI: 10.1007/s10549-022-06681-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE To investigate the influence of body mass index (BMI) on the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy in early breast cancer patients. METHODS Early-stage breast cancer patients who received (neo)adjuvant weekly paclitaxel 80 mg/m2 chemotherapy were included in this retrospective study. Patients were divided into three groups based on their BMI: lean, overweight, and obese. Logistic regression was used to assess for association between BMI with administered relative dose intensity (RDI) < 85%. The occurrence of treatment modifications and the pathological response on neoadjuvant chemotherapy were compared between BMI categories. RESULTS Four hundred (400) patients were included in this study; 200 (50%) lean, 125 (31%) overweight, and 75 (19%) obese patients. The adjusted odds ratio to receive RDI < 85% for BMI was 1.02 (p value, .263). Treatment modifications occurred in 115 (58%), 82 (66%), and 52 (69%) patients in the respective BMI categories (p value = .132). Peripheral neuropathy was observed in 79 (40%), 58 (46%), and 41 (55%) patients in the lean, overweight, and obese group (p value = .069), whereas hematologic toxicity was observed in 31 (16%), 10 (8%), and 4 (5%) patients (p value = .025). Pathological complete response was observed in 22 (17%), 11 (14%), and 6 (13%) patients in the respective BMI categories (p value = .799). CONCLUSION BMI did not significantly influence the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy. Therefore, the results of this study align with current guideline recommendations of using full-weight-based paclitaxel chemotherapy in obese patients.
Collapse
Affiliation(s)
- Lishi Lin
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Marcel Soesan
- Department of Internal Medicine, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Dorieke E M van Balen
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Jos H Beijnen
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Alwin D R Huitema
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
- Department of Pharmacology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
- Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| |
Collapse
|
14
|
Feng J, Wang L, Yang X, Chen Q, Cheng X. Pathologic Complete Response Prediction to Neoadjuvant Immunotherapy Combined with Chemotherapy in Resectable Locally Advanced Esophageal Squamous Cell Carcinoma: Real-World Evidence from Integrative Inflammatory and Nutritional Scores. J Inflamm Res 2022; 15:3783-3796. [PMID: 35832830 PMCID: PMC9271687 DOI: 10.2147/jir.s367964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/21/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Neoadjuvant immunotherapy and chemotherapy (nICT) is an emerging hotspot that has been shown to be safe and feasible for locally advanced esophageal squamous cell carcinoma (LA-ESCC). This real-world study aimed to develop and validate a novel predictive model [integrative inflammatory and nutritional score (IINS)] in LA-ESCC patients receiving nICT to predict the pathologic complete response (pCR). Patients and Methods Patients with LA-ESCC who received nICT followed by surgery from Jun 2019 to Dec 2021 were enrolled and randomly divided into two sets (7:3). Using least absolute shrinkage and selection operator (LASSO) logistic regression analysis, the IINS was constructed in LA-ESCC patients received nICT to predict pCR. A nomogram based on IINS for pCR prediction was generated in the training cohort and verified in the validation cohort. Results Of the 285 enrolled LA-ESCC patients received nICT followed by radical resection, 84 (29.5%) patients achieved pCR. A predictive index of IINS based on 8 inflammatory and nutritional indicators was constructed using the LASSO model. According to the cutoff finder, patients were then stratified into two groups (high and low). The pCR rates were significantly higher in high-IINS group than in low-IINS group in both the training cohort (44.7% vs 17.4%, P < 0.001) and validation cohort (50.0% vs 13.3%, P < 0.001). The IINS [odds ratio (OR) = 0.237, 95% confidence interval (CI) = 0.117–0.480, P < 0.001] was an independent significant predictor for pCR in multivariate logistic analyses. The IINS-based nomogram showed an excellent discrimination for pCR prediction (C-indexes = 0.759 and 0.812 for training and validation cohorts, respectively). Conclusion Pretreatment IINS is an independent predictor for pCR in LA-ESCC patients who are treated with nICT. To our knowledge, the IINS-based nomogram is the first model for pCR prediction and may serve as a simple and potential risk stratification model in LA-ESCC who are treated with nICT.
Collapse
Affiliation(s)
- Jifeng Feng
- Department of Thoracic Oncological Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.,Zhejiang Provincial Research Center for Upper Gastrointestinal Tract Cancer, Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.,The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China
| | - Liang Wang
- Department of Thoracic Oncological Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Xun Yang
- Department of Thoracic Oncological Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Qixun Chen
- Department of Thoracic Oncological Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Xiangdong Cheng
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract Cancer, Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| |
Collapse
|
15
|
Pang Y, Wei Y, Kartsonaki C. Associations of adiposity and weight change with recurrence and survival in breast cancer patients: a systematic review and meta-analysis. Breast Cancer 2022; 29:575-588. [PMID: 35579841 PMCID: PMC9226105 DOI: 10.1007/s12282-022-01355-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/23/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Adiposity and weight change among patients with breast cancer are associated with mortality, but there is limited evidence on the associations with distant recurrence or other causes of death or on central adiposity. Moreover, the relationship with breast cancer subtypes and by menopause status is unclear. METHODS We conducted a systematic review and meta-analysis of prospective studies of breast cancer patients investigating the associations of general and central adiposity (body mass index [BMI] and waist circumference [WC], respectively), before and after diagnosis, and weight change, with all-cause mortality, breast cancer-specific mortality (BCSM), and recurrence. RESULTS 173 studies (519,544 patients, 60,249 deaths overall, and 25,751 breast cancer deaths) were included. For BMI < 1 year post diagnosis, compared with normal weight women, the summary relative risk (RR) for obese women was 1.21 (1.15-1.27) for all-cause mortality, 1.22 (1.13-1.32) for BCSM, 1.12 (1.06-1.18) for recurrence, and 1.19 (1.11-1.28) for distant recurrence. Obesity was associated with all-cause mortality and BCSM in patients with ER+ or HER2+ tumors, whereas no clear association was observed in patients with triple-negative tumors. Similar associations were observed by menopausal status. Stronger associations were observed in East Asians than Europeans. Central adiposity was associated with all-cause mortality, while large weight gain was associated with all-cause mortality, BCSM, and recurrence. CONCLUSION Higher adiposity is associated with all-cause mortality, BCSM, recurrence, and distant recurrence in breast cancer patients, with similar associations by menopausal status and some evidence of heterogeneity by subtypes. Weight gain is also associated with recurrence and survival among breast cancer patients.
Collapse
Affiliation(s)
- Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Yuxia Wei
- Institute of Environmental Medicine, Karolinska Institutet, C6 Institutet för miljömedicin, 17177, Stockholm, Sweden
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Big Data Institute Building, Roosevelt Drive, Oxford, UK.
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Big Data Institute Building, Old Road Campus, Oxford, OX3 7LF, UK.
| |
Collapse
|
16
|
Somashekhar SP, Jaiswal R, Kumar R, Ashok BC, Rakshit S, Rauthan A, Patil P, Yashas N, Karthik HK, Prasad A, Islam H, Ashwin KR. An Overview of the Impact of Body Mass Index on Pathological Complete Response Following Neoadjuvant Chemotherapy in Operable Breast Cancer in a Tertiary Care Centre in South India. Eur J Breast Health 2022; 18:271-278. [DOI: 10.4274/ejbh.galenos.2022.2022-2-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/29/2022] [Indexed: 12/01/2022]
|
17
|
Skarping I, Blaabjerg Pedersen S, Förnvik D, Zackrisson S, Borgquist S. The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients. Acta Oncol 2022; 61:731-737. [PMID: 35363106 DOI: 10.1080/0284186x.2022.2055976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND Obesity seems to be associated with a poorer response to adjuvant chemotherapy in breast cancer (BC); however, associations in the neoadjuvant chemotherapy (NACT) setting and according to menopausal status are less studied. This study aims to investigate the association between pretreatment body mass index (BMI) and pathological complete response (pCR) following NACT in BC according to menopausal and estrogen receptor (ER) status. MATERIAL AND METHODS The study cohort consisted of 491 patients receiving NACT in 2005-2019. Based on pre-NACT patient and tumor characteristics, the association between BMI and achieving pCR was analyzed using logistic regression models (crude and adjusted models (age, tumor size, and node status)) with stratification by menopausal and ER status. RESULTS In the overall cohort, being overweight (BMI ≥25) compared by being normal-weight (BMI <25), increased the odds of accomplishing pCR by 15%. However, based on the 95% confidence interval (CI) the data were compatible with associations within the range of a decrease of 30% to an increase of 89%. Stratification according to menopausal status also showed no strong association: the odds ratio (OR) of accomplishing pCR in overweight premenopausal patients compared with normal-weight premenopausal patients was 1.76 (95% CI 0.88-3.55), whereas for postmenopausal patients the corresponding OR was 0.71 (95% CI 0.35-1.46). DISCUSSION In a NACT BC cohort of 491 patients, we found no evidence of high BMI as a predictive factor of accomplishing pCR, neither in the whole cohort nor stratified by menopausal status. Given the limited precision in our results, larger studies are needed before considering BMI in clinical decision-making regarding NACT or not.
Collapse
Affiliation(s)
- Ida Skarping
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
| | | | - Daniel Förnvik
- Medical Radiation Physics, Department of Translational Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Department of Imaging and Functional Medicine, Skåne University Hospital, Lund University, Lund and Malmö, Sweden
| | - Signe Borgquist
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Oncology, Aarhus University Hospital/Aarhus University, Aarhus, Denmark
| |
Collapse
|
18
|
Skarping I, Larsson M, Förnvik D. Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept. Eur Radiol 2021; 32:3131-3141. [PMID: 34652522 PMCID: PMC9038782 DOI: 10.1007/s00330-021-08306-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/28/2021] [Accepted: 09/02/2021] [Indexed: 12/22/2022]
Abstract
Objectives In this proof of concept study, a deep learning–based method for automatic analysis of digital mammograms (DM) as a tool to aid in assessment of neoadjuvant chemotherapy (NACT) treatment response in breast cancer (BC) was examined. Methods Baseline DM from 453 patients receiving NACT between 2005 and 2019 were included in the study cohort. A deep learning system, using the aforementioned baseline DM, was developed to predict pathological complete response (pCR) in the surgical specimen after completion of NACT. Two image patches, one extracted around the detected tumour and the other from the corresponding position in the reference image, were fed into a classification network. For training and validation, 1485 images obtained from 400 patients were used, and the model was ultimately applied to a test set consisting of 53 patients. Results A total of 95 patients (21%) achieved pCR. The median patient age was 52.5 years (interquartile range 43.7–62.1), and 255 (56%) were premenopausal. The artificial intelligence (AI) model predicted the pCR as represented by the area under the curve of 0.71 (95% confidence interval 0.53–0.90; p = 0.035). The sensitivity was 46% at a fixed specificity of 90%. Conclusions Our study describes an AI platform using baseline DM to predict BC patients’ responses to NACT. The initial AI performance indicated the potential to aid in clinical decision-making. In order to continue exploring the clinical utility of AI in predicting responses to NACT for BC, further research, including refining the methodology and a larger sample size, is warranted. Key Points • We aimed to answer the following question: Prior to initiation of neoadjuvant chemotherapy, can artificial intelligence (AI) applied to digital mammograms (DM) predict breast tumour response? • DMs contain information that AI can make use of for predicting pathological complete (pCR) response after neoadjuvant chemotherapy for breast cancer. • By developing an AI system designed to focus on relevant parts of the DM, fully automatic pCR prediction can be done well enough to potentially aid in clinical decision-making.
Collapse
Affiliation(s)
- I Skarping
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden.
- Department of Clinical Physiology and Nuclear Medicine, Skane University Hospital, Lund, Sweden.
| | | | - D Förnvik
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Skane University Hospital, Malmö, Sweden
| |
Collapse
|
19
|
Tumor apelin and obesity are associated with reduced neoadjuvant chemotherapy response in a cohort of breast cancer patients. Sci Rep 2021; 11:9922. [PMID: 33972642 PMCID: PMC8110990 DOI: 10.1038/s41598-021-89385-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/26/2021] [Indexed: 12/17/2022] Open
Abstract
Obesity is a known factor increasing the risk of developing breast cancer and reducing disease free survival. In addition to these well-documented effects, recent studies have shown that obesity is also affecting response to chemotherapy. Among the multiple dysregulations associated with obesity, increased level of the apelin adipokine has been recently shown to be directly involved in the association between obesity and increased breast cancer progression. In this study, we analyzed in a retrospective cohort of 62 breast cancer patients the impact of obesity and tumoral apelin expression on response to neoadjuvant chemotherapy. In the multivariate logistic regression, obesity and high tumoral apelin expression were associated with a reduced response to NAC in our cohort. However, obesity and high tumoral apelin expression were not correlated, suggesting that those two parameters could be independently associated with reduced NAC response. These findings should be confirmed in independent cohorts.
Collapse
|