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Parikh P, Babu G, Singh R, Krishna V, Bhatt A, Bansal I, Rajappa S, Sahoo TP, Aggarwal S, Bapna A, Biswas G, Somashekhar SP, Bajpai J, Maniar V, Desai S, Raja T, Rath GK. Consensus guidelines for the management of HR-positive HER2/neu negative early breast cancer in India, SAARC region and other LMIC by DELPHI survey method. BMC Cancer 2023; 23:714. [PMID: 37525142 PMCID: PMC10391857 DOI: 10.1186/s12885-023-11121-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/28/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Precise prognostication is the key to optimum and effective treatment planning for early-stage hormone receptor (HR) positive, HER2/neu negative breast cancer patients. Differences in the breast cancer incidence and tumor anatomical features at diagnosis, pharmacogenomics data between Western and Indian women along with the vast diversity in the economic status and differences in insurance policies of these regions; suggest recommendations put forward for Western women might not be applicable to Indian/Asian women. Opinions from oncologists through a voting survey on various prognostic factors/tools to be considered for planning adjuvant therapy are consolidated in this report for the benefit of oncologists of the sub-continent, SAARC and Asia's LMIC (low and middle-income countries). METHODS A three-phase DELPHI survey was conducted to collect opinions on prognostic factors considered for planning adjuvant therapy in early-stage HR+/HER2/neu negative breast cancer patients. A panel of 25 oncologists with expertise in breast cancer participated in the survey conducted in 2021. The experts provided opinions as 'agree' or disagree' or 'not sure' in phases-1 and 2 which were conducted virtually; in the final phase-3, all the panel experts met in person and concluded the survey. RESULTS Opinions on 41 statements related to prognostic factors/tools and their implications in planning adjuvant endocrine/chemotherapy were collected. All the statements were supported by the latest data from the clinical trials (prospective/retrospective). The statements with opinions of consensus less than 66% were disseminated in phase-2, and later in phase-3 with supporting literature. In phase-3, all the opinions from panelists were consolidated and guidelines were framed. CONCLUSIONS This consensus guideline will assist oncologists of India, SAARC and LMIC countries in informed clinical decision-making on adjuvant treatment in early HR+/HER2/neu negative breast cancer patients.
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Affiliation(s)
- Purvish Parikh
- Dept of Clinical Hematology, Mahatma Gandhi Medical College Hospital, Jaipur, 302023, India.
| | - Govind Babu
- HCG Cancer Hospital, Bengaluru, 560027, India
| | - Randeep Singh
- Narayana Super speciality Hospital, Gurugram, 122002, India
| | - Vamshi Krishna
- Asian Institute of Gastroenterology, Hyderabad, 500082, India
| | - Amit Bhatt
- Avinash Cancer Clinic, Pune, 411004, India
| | - Indu Bansal
- Narayana Super speciality Hospital, Gurugram, 122002, India
| | - Senthil Rajappa
- Basavaratakam Indo American Cancer Hospital & Research Institute, Hyderabad, 500034, India
| | | | | | - Ajay Bapna
- Bhagwan Mahaveer Cancer Hospital and Research Centre, Jaipur, 302017, India
| | | | - S P Somashekhar
- Manipal Comprehensive Cancer Center, Manipal Hospital, Bengaluru, 560017, India
| | | | | | - Sharad Desai
- Mahatma Gandhi Cancer Hospital, Miraj, 416410, India
| | - T Raja
- Apollo Speciality Cancer Hospital, Chennai, 600035, India
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Eshwaraiah MS, Gunda A, Kanakasetty GB, Bakre MM. The usefulness of CanAssist Breast over Ki67 in breast cancer recurrence risk assessment. Cancer Med 2023. [PMID: 37245224 DOI: 10.1002/cam4.6032] [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: 12/12/2022] [Revised: 03/24/2023] [Accepted: 04/23/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND Assessment of Ki67 by immunohistochemistry (IHC) has limited utility in clinical practice owing to analytical validity issues. According to International Ki67 Working Group (IKWG) guidelines, treatment should be guided by a prognostic test in patients expressing intermediate Ki67 range, >5%-<30%. The objective of the study is to compare the prognostic performance of CanAssist Breast (CAB) with that of Ki67 across various Ki67 prognostic groups. METHODS The cohort had 1701 patients. Various risk groups were compared for the distant relapse-free interval (DRFi) derived from Kaplan-Meier survival analysis. As per IKWG, patients are categorized into three risk groups: low-risk (<5%), intermediate risk (>5%-<30%), and high-risk (>30%). CAB generates two risk groups, low and high risk based on a predefined cutoff. RESULTS In the total cohort, 76% of the patients were low risk (LR) by CAB as against 46% by Ki67 with a similar DRFi of 94%. In the node-negative sub-cohort, 87% were LR by CAB with a DRFi of 97% against 49% by Ki67 with a DRFi of 96%. In subgroups of patients with T1 or N1 or G2 tumors, Ki67-based risk stratification was not significant while it was significant by CAB. In the intermediate Ki67 (>5%-<30%) category up to 89% (N0 sub-cohort) were LR by CAB and the percentage of LR patients was 25% (p < 0.0001) higher compared to NPI or mAOL. In the low Ki67 (≤5%) group, up to 19% were segregated as high-risk by CAB with 86% DRFi suggesting the requirement of chemotherapy in these low Ki67 patients. CONCLUSION CAB provided superior prognostic information in various Ki67 subgroups, especially in the intermediate Ki67 group.
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Affiliation(s)
| | - Aparna Gunda
- OncoStem Diagnostics Private Limited, Bangalore, India
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Zhang X, Gunda A, Kranenbarg EMK, Liefers GJ, Savitha BA, Shrivastava P, Serkad CPVK, Kaur T, Eshwaraiah MS, Tollenaar RAEM, van de Velde CJH, Seynaeve CMJ, Bakre M, Kuppen PJK. Ten-year distant-recurrence risk prediction in breast cancer by CanAssist Breast (CAB) in Dutch sub-cohort of the randomized TEAM trial. Breast Cancer Res 2023; 25:40. [PMID: 37060036 PMCID: PMC10103430 DOI: 10.1186/s13058-023-01643-2] [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: 12/01/2022] [Accepted: 03/30/2023] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND Hormone receptor (HR)-positive, HER2/neu-negative breast cancers have a sustained risk of recurrence up to 20 years from diagnosis. TEAM (Tamoxifen, Exemestane Adjuvant Multinational) is a large, multi-country, phase III trial that randomized 9776 women for the use of hormonal therapy. Of these 2754 were Dutch patients. The current study aims for the first time to correlate the ten-year clinical outcomes with predictions by CanAssist Breast (CAB)-a prognostic test developed in South East Asia, on a Dutch sub-cohort that participated in the TEAM. The total Dutch TEAM cohort and the current Dutch sub-cohort were almost similar with respect to patient age and tumor anatomical features. METHODS Of the 2754 patients from the Netherlands, which are part of the original TEAM trial, 592 patients' samples were available with Leiden University Medical Center (LUMC). The risk stratification of CAB was correlated with outcomes of patients using logistic regression approaches entailing Kaplan-Meier survival curves, univariate and multivariate cox-regression hazards model. We used hazard ratios (HRs), the cumulative incidence of distant metastasis/death due to breast cancer (DM), and distant recurrence-free interval (DRFi) for assessment. RESULTS Out of 433 patients finally included, the majority, 68.4% had lymph node-positive disease, while only a minority received chemotherapy (20.8%) in addition to endocrine therapy. CAB stratified 67.5% of the total cohort as low-risk [DM = 11.5% (95% CI, 7.6-15.2)] and 32.5% as high-risk [DM = 30.2% (95% CI, 21.9-37.6)] with an HR of 2.90 (95% CI, 1.75-4.80; P < 0.001) at ten years. CAB risk score was an independent prognostic factor in the consideration of clinical parameters in multivariate analysis. At ten years, CAB high-risk had the worst DRFi of 69.8%, CAB low-risk in the exemestane monotherapy arm had the best DRFi of 92.7% [vs CAB high-risk, HR, 0.21 (95% CI, 0.11-0.43), P < 0.001], and CAB low-risk in the sequential arm had a DRFi of 84.2% [vs CAB high-risk, HR, 0.48 (95% CI, 0.28-0.82), P = 0.009]. CONCLUSIONS Cost-effective CAB is a statistically robust prognostic and predictive tool for ten-year DM for postmenopausal women with HR+/HER2-, early breast cancer. CAB low-risk patients who received exemestane monotherapy had an excellent ten-year DRFi.
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Affiliation(s)
- Xi Zhang
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Aparna Gunda
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Gerrit-Jan Liefers
- Geriatric Oncology Research Group, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | | | - Payal Shrivastava
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Taranjot Kaur
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India
| | | | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Cornelis J H van de Velde
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | | | - Manjiri Bakre
- OncoStem Diagnostics Pvt Ltd, #4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, 560027, India.
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center (LUMC), Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
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Gunda A, Eshwaraiah MS, Gangappa K, Kaur T, Bakre MM. A comparative analysis of recurrence risk predictions in ER+/HER2− early breast cancer using NHS Nottingham Prognostic Index, PREDICT, and CanAssist Breast. Breast Cancer Res Treat 2022; 196:299-310. [PMID: 36085534 PMCID: PMC9581859 DOI: 10.1007/s10549-022-06729-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/26/2022] [Indexed: 11/30/2022]
Abstract
Abstract
Aims
Clinicians use multi-gene/biomarker prognostic tests and free online tools to optimize treatment in early ER+/HER2− breast cancer. Here we report the comparison of recurrence risk predictions by CanAssist Breast (CAB), Nottingham Prognostic Index (NPI), and PREDICT along with the differences in the performance of these tests across Indian and European cohorts.
Methods
Current study used a retrospective cohort of 1474 patients from Europe, India, and USA. NPI risk groups were categorized into three prognostic groups, good (GPG-NPI index ≤ 3.4) moderate (MPG 3.41–5.4), and poor (PPG > 5.4). Patients with chemotherapy benefit of < 2% were low-risk and ≥ 2% high-risk by PREDICT. We assessed the agreement between the CAB and NPI/PREDICT risk groups by kappa coefficient.
Results
Risk proportions generated by all tools were: CAB low:high 74:26; NPI good:moderate:poor prognostic group- 38:55:7; PREDICT low:high 63:37. Overall, there was a fair agreement between CAB and NPI[κ = 0.31(0.278–0.346)]/PREDICT [κ = 0.398 (0.35–0.446)], with a concordance of 97%/88% between CAB and NPI/PREDICT low-risk categories. 65% of NPI-MPG patients were called low-risk by CAB. From PREDICT high-risk patients CAB segregated 51% as low-risk, thus preventing over-treatment in these patients. In cohorts (European) with a higher number of T1N0 patients, NPI/PREDICT segregated more as LR compared to CAB, suggesting that T1N0 patients with aggressive biology are missed out by online tools but not by the CAB.
Conclusion
Data shows the use of CAB in early breast cancer overall and specifically in NPI-MPG and PREDICT high-risk patients for making accurate decisions on chemotherapy use. CAB provided unbiased risk stratification across cohorts of various geographies with minimal impact by clinical parameters.
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Affiliation(s)
- Aparna Gunda
- OncoStem Diagnostics Pvt. Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore, 560 0027 India
| | - Mallikarjuna S. Eshwaraiah
- OncoStem Diagnostics Pvt. Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore, 560 0027 India
| | - Kiran Gangappa
- OncoStem Diagnostics Pvt. Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore, 560 0027 India
| | - Taranjot Kaur
- OncoStem Diagnostics Pvt. Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore, 560 0027 India
| | - Manjiri M. Bakre
- OncoStem Diagnostics Pvt. Ltd., # 4 Raja Ram Mohan Roy Rd, Aanand Tower, 2nd Floor, Bangalore, 560 0027 India
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