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Gensheimer MF, Gupta D, Patel MI, Fardeen T, Hildebrand R, Teuteberg W, Seevaratnam B, Asuncion MK, Alves N, Rogers B, Hansen J, DeNofrio J, Shah NH, Parikh D, Neal J, Fan AC, Moore K, Ruiz S, Li C, Khaki AR, Pagtama J, Chien J, Brown T, Tisch AH, Das M, Srinivas S, Roy M, Wakelee H, Myall NJ, Huang J, Shah S, Lee H, Ramchandran K. Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer. JCO Oncol Pract 2023; 19:e176-e184. [PMID: 36395436 DOI: 10.1200/op.22.00128] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
PURPOSE Patients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures. METHODS In this study of a quality improvement initiative, providers in four medical oncology clinics received Serious Illness Care Program training. Two clinics (thoracic/genitourinary) participated in an intervention, and two (cutaneous/sarcoma) served as controls. ACP conversations were documented in a centralized form in the electronic medical record. In the intervention, providers and care coaches received weekly e-mails highlighting upcoming clinic patients with < 2 year computer-predicted survival and no prior prognosis documentation. Care coaches contacted these patients for an ACP conversation (excluding prognosis). Providers were asked to discuss and document prognosis. RESULTS In the four clinics, 4,968 clinic visits by 1,251 patients met inclusion criteria (metastatic cancer with no prognosis previously documented). In their first visit, 28% of patients were high-risk (< 2 year predicted survival). Preintervention, 3% of both intervention and control clinic patients had ACP documentation during a visit. By intervention end (February 2021), 35% of intervention clinic patients had ACP documentation compared with 3% of control clinic patients. Providers' prognosis documentation rate also increased in intervention clinics after the intervention (2%-27% in intervention clinics, P < .0001; 0%-1% in control clinics). End-of-life care intensity was similar in intervention versus control clinics, but patients with ≥ 1 provider ACP edit met fewer high-intensity care measures (P = .04). CONCLUSION Combining a computer prognosis model with care coaches increased ACP documentation.
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Affiliation(s)
| | - Divya Gupta
- Stanford University School of Medicine, Stanford CA
| | - Manali I Patel
- Stanford University School of Medicine, Stanford CA.,VA Palo Alto Health Care System, Palo Alto, CA
| | | | | | | | | | | | - Nina Alves
- Stanford University School of Medicine, Stanford CA
| | - Brian Rogers
- Stanford University School of Medicine, Stanford CA
| | | | - Jan DeNofrio
- Stanford University School of Medicine, Stanford CA
| | - Nigam H Shah
- Stanford University School of Medicine, Stanford CA
| | - Divya Parikh
- Stanford University School of Medicine, Stanford CA
| | - Joel Neal
- Stanford University School of Medicine, Stanford CA
| | - Alice C Fan
- Stanford University School of Medicine, Stanford CA
| | - Kaidi Moore
- Stanford University School of Medicine, Stanford CA
| | - Shann Ruiz
- Stanford University School of Medicine, Stanford CA
| | - Connie Li
- Stanford University School of Medicine, Stanford CA
| | | | - Judy Pagtama
- Stanford University School of Medicine, Stanford CA
| | - Joanne Chien
- Stanford University School of Medicine, Stanford CA
| | | | | | - Millie Das
- Stanford University School of Medicine, Stanford CA
| | | | - Mohana Roy
- Stanford University School of Medicine, Stanford CA
| | | | | | - Jane Huang
- Stanford University School of Medicine, Stanford CA
| | - Sumit Shah
- Stanford University School of Medicine, Stanford CA
| | - Howard Lee
- Stanford University School of Medicine, Stanford CA
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Waliany S, Wakelee H, Ramchandran K, Das M, Huang J, Myall N, Li C, Pagtama J, Tisch AH, Neal JW. Characterization of ERBB2 (HER2) Alterations in Metastatic Non-small Cell Lung Cancer and Comparison of Outcomes of Different Trastuzumab-based Regimens. Clin Lung Cancer 2022; 23:498-509. [PMID: 35753988 DOI: 10.1016/j.cllc.2022.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/30/2022] [Accepted: 05/31/2022] [Indexed: 11/17/2022]
Abstract
INTRODUCTION About 3%-5% of mNSCLC have ERBB2 (HER2) alterations, but currently, there are no FDA-approved targeted therapies for this indication. We compared treatment response between trastuzumab-based and non-targeted regimens in ERBB2-mutant mNSCLC. METHODS This retrospective, single-institution study included patients with mNSCLC with ERBB2 alterations identified by next-generation sequencing. Best overall response was determined using Response Evaluation Criteria in Solid Tumors 1.1. RESULTS We identified 3 groups of patients: ERBB2-mutant/EGFR-wildtype mNSCLC (n = 33), ERBB2-amplified/EGFR-wildtype mNSCLC without concurrent ERBB2 mutations (n = 6), and ERBB2-altered/EGFR-mutant mNSCLC (n = 8). Observed mutations included A775_G776insYVMA (n = 23), Gly778_Pro780dup (n = 4), Ser310Phe (n = 3), and others (n = 5). Among the 33 with ERBB2-mutant/EGFR-wildtype mNSCLC, those with and without A775_G776insYVMA had significantly different median overall survival (OS) of 17.7 and 52.9 months, respectively (Cox regression multivariable HR: 5.03, 95% CI: 1.37-18.51, P = .02). In those with mNSCLC with A775_G776insYVMA, trastuzumab-based therapies were associated with greater OS (20.3 vs. 9.8 months; multivariable HR: 0.19, 95% CI: 0.04-0.87, P = .032). Objective response and disease control rates (median tumor size change) in the 33 patients with ERBB2-mutant/EGFR-wildtype mNSCLC were 40.0% and 80.0% (-35.8%), respectively, for patients treated with trastuzumab deruxtecan; 0% and 30.0% (-5.2%) for trastuzumab emtansine; and 7.1% and 50.0% (-13.0%) for trastuzumab/chemotherapy combinations. CONCLUSION In ERBB2-mutant/EGFR-wildtype mNSCLC, while most trastuzumab-based regimens had modest activity in this real-world analysis, trastuzumab deruxtecan had highest response rates and best tumor size reduction. Receipt of any trastuzumab-based regimen was associated with greater OS with A775_G776insYVMA. There remains an unmet need for approved targeted therapies for ERBB2-mutant/EGFR-wildtype NSCLC.
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Affiliation(s)
- Sarah Waliany
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Heather Wakelee
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA
| | - Kavitha Ramchandran
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA
| | - Millie Das
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA; Department of Medicine, VA Palo Alto Health Care System, Palo Alto, CA
| | - Jane Huang
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA
| | - Nathaniel Myall
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA
| | - Connie Li
- Stanford Cancer Institute, Stanford, CA
| | | | | | - Joel W Neal
- Department of Medicine, Stanford University School of Medicine, Stanford, CA; Division of Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford, CA.
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Das M, Tisch AH. Diagnosis and Treatment of Adenocarcinomas and Squamous Cell Carcinomas of the Lung. J Adv Pract Oncol 2017; 8:267-272. [PMID: 29928550 PMCID: PMC6003759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Following years in which there were only modest gains in treatment options for non-small cell lung cancer, recognition of targetable mutations and immunogenicity of lung cancer now impact treatment decisions.
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Affiliation(s)
- Millie Das
- Stanford University and VA Palo Alto Health Care System;
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Nagpal S, Wakelee H, Padda S, Bertrand S, Acevedo B, Tisch AH, Pagtama J, Soltys S, Neal J. P2.03b-012 A Phase II Study of Etirinotecan Pegol (NKTR-102) in Patients with Refractory Brain Metastases and Advanced Lung Cancer. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2016.11.1293] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Neal JW, Wakelee H, Padda SK, Bertrand S, Acevedo B, Holmes Tisch A, Pagtama JY, Soltys SG, Nagpal S. PS01.04: A Phase II Study of Etirinotecan Pegol (NKTR-102) in Patients with Refractory Brain Metastases and Advanced Lung Cancer. J Thorac Oncol 2016. [DOI: 10.1016/j.jtho.2016.09.040] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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