The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin
Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach. We report CAB risk assessment correlating with d...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Breast |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0960977621003799 |
| _version_ | 1818363085147078656 |
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| author | Dinesh Chandra Doval Anurag Mehta S.P. Somashekhar Aparna Gunda Gurpreet Singh Amanjit Bal Siddhant Khare Chandra Prakash V Serkad Manjula Adinarayan Naveen Krishnamoorthy Devanhalli Govinda Vijay Radha Anantakrishnan G.S. Bhattacharyya Manjiri M. Bakre |
| author_facet | Dinesh Chandra Doval Anurag Mehta S.P. Somashekhar Aparna Gunda Gurpreet Singh Amanjit Bal Siddhant Khare Chandra Prakash V Serkad Manjula Adinarayan Naveen Krishnamoorthy Devanhalli Govinda Vijay Radha Anantakrishnan G.S. Bhattacharyya Manjiri M. Bakre |
| author_sort | Dinesh Chandra Doval |
| collection | DOAJ |
| description | Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach. We report CAB risk assessment correlating with disease outcomes in multiple clinically high- and low-risk subgroups. In this retrospective cohort of 925 patients [median age-54 (22–86)] CAB had hazard ratio (HR) of 3 (1.83–5.21) and 2.5 (1.45–4.29), P = 0.0009) in univariate and multivariate analysis. CAB's HR in sub-groups with the other determinants of outcome, T2 (HR: 2.79 (1.49–5.25), P = 0.0001); age [< 50 (HR: 3.14 (1.39–7), P = 0.0008)]. Besides application in node-negative patients, CAB's HR was 2.45 (1.34–4.47), P = 0.0023) in node-positive patients. In clinically low-risk patients (N0 tumors up to 5 cms) (HR: 2.48 (0.79–7.8), P = 0.03) and with luminal-A characteristics (HR: 4.54 (1–19.75), P = 0.004), CAB identified >16% as high-risk with recurrence rates of up to 12%. In clinically high-risk patients (T2N1 tumors (HR: 2.65 (1.31–5.36), P = 0.003; low-risk DMFS: 92.66 ± 1.88) and in women with luminal-B characteristics (HR: 3.24; (1.69–6.22), P < 0.0001; low-risk DMFS: 93.34 ± 1.34)), CAB identified >64% as low-risk. Thus, CAB prognostication was significant in women with clinically low- and high-risk disease. The data imply the use of CAB for providing helpful information to stratify tumors based on biology incorporated with clinical features for Indian patients, which can be extrapolated to regions with similarly characterized patients, South-East Asia. |
| first_indexed | 2024-12-13T21:42:52Z |
| format | Article |
| id | doaj.art-37d33ca9bd764c319e1199039a81fc60 |
| institution | Directory Open Access Journal |
| issn | 1532-3080 |
| language | English |
| last_indexed | 2024-12-13T21:42:52Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Breast |
| spelling | doaj.art-37d33ca9bd764c319e1199039a81fc602022-12-21T23:30:29ZengElsevierBreast1532-30802021-10-015917The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian originDinesh Chandra Doval0Anurag Mehta1S.P. Somashekhar2Aparna Gunda3Gurpreet Singh4Amanjit Bal5Siddhant Khare6Chandra Prakash V Serkad7Manjula Adinarayan8Naveen Krishnamoorthy9Devanhalli Govinda Vijay10Radha Anantakrishnan11G.S. Bhattacharyya12Manjiri M. Bakre13Rajiv Gandhi Cancer Institute, New Delhi, IndiaRajiv Gandhi Cancer Institute, New Delhi, IndiaManipal Hospital and Comprehensive Cancer Centre, Bengaluru, Karnataka, IndiaOncoStem Diagnostics, Bengaluru, Karnataka, IndiaPost-Graduation Institute of Medical Education and Research, Chandigarh, IndiaPost-Graduation Institute of Medical Education and Research, Chandigarh, IndiaPost-Graduation Institute of Medical Education and Research, Chandigarh, IndiaOncoStem Diagnostics, Bengaluru, Karnataka, IndiaOncoStem Diagnostics, Bengaluru, Karnataka, IndiaOncoStem Diagnostics, Bengaluru, Karnataka, IndiaHCG Cancer Centre, Ahmedabad, IndiaG.Kuppuswamy Naidu Memorial Hospital, Coimbatore, IndiaSaltlake City Medical Centre, Kolkata, IndiaOncoStem Diagnostics, Bengaluru, Karnataka, India; Corresponding author. OncoStem Diagnostics Pvt Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore 560 0025, India.Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach. We report CAB risk assessment correlating with disease outcomes in multiple clinically high- and low-risk subgroups. In this retrospective cohort of 925 patients [median age-54 (22–86)] CAB had hazard ratio (HR) of 3 (1.83–5.21) and 2.5 (1.45–4.29), P = 0.0009) in univariate and multivariate analysis. CAB's HR in sub-groups with the other determinants of outcome, T2 (HR: 2.79 (1.49–5.25), P = 0.0001); age [< 50 (HR: 3.14 (1.39–7), P = 0.0008)]. Besides application in node-negative patients, CAB's HR was 2.45 (1.34–4.47), P = 0.0023) in node-positive patients. In clinically low-risk patients (N0 tumors up to 5 cms) (HR: 2.48 (0.79–7.8), P = 0.03) and with luminal-A characteristics (HR: 4.54 (1–19.75), P = 0.004), CAB identified >16% as high-risk with recurrence rates of up to 12%. In clinically high-risk patients (T2N1 tumors (HR: 2.65 (1.31–5.36), P = 0.003; low-risk DMFS: 92.66 ± 1.88) and in women with luminal-B characteristics (HR: 3.24; (1.69–6.22), P < 0.0001; low-risk DMFS: 93.34 ± 1.34)), CAB identified >64% as low-risk. Thus, CAB prognostication was significant in women with clinically low- and high-risk disease. The data imply the use of CAB for providing helpful information to stratify tumors based on biology incorporated with clinical features for Indian patients, which can be extrapolated to regions with similarly characterized patients, South-East Asia.http://www.sciencedirect.com/science/article/pii/S0960977621003799CanAssist breastPrognosticationEarly-stageHormone-receptorLuminal subtypes |
| spellingShingle | Dinesh Chandra Doval Anurag Mehta S.P. Somashekhar Aparna Gunda Gurpreet Singh Amanjit Bal Siddhant Khare Chandra Prakash V Serkad Manjula Adinarayan Naveen Krishnamoorthy Devanhalli Govinda Vijay Radha Anantakrishnan G.S. Bhattacharyya Manjiri M. Bakre The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin Breast CanAssist breast Prognostication Early-stage Hormone-receptor Luminal subtypes |
| title | The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin |
| title_full | The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin |
| title_fullStr | The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin |
| title_full_unstemmed | The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin |
| title_short | The usefulness of CanAssist breast in the assessment of recurrence risk in patients of ethnic Indian origin |
| title_sort | usefulness of canassist breast in the assessment of recurrence risk in patients of ethnic indian origin |
| topic | CanAssist breast Prognostication Early-stage Hormone-receptor Luminal subtypes |
| url | http://www.sciencedirect.com/science/article/pii/S0960977621003799 |
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