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Perspective

Precision medicine in Thoracic Oncology: understanding disparities to tackle inequities in access

, , &
Pages 981-987 | Received 16 May 2023, Accepted 12 Sep 2023, Published online: 26 Sep 2023

References

  • Deininger MW. Milestones and monitoring in patients with CML treated with Imatinib. Hematology. 2008;2008(1):419–426. doi: 10.1182/asheducation-2008.1.419
  • Howlader N, Forjaz G, Mooradian MJ, et al. The effect of Advances in lung-cancer treatment on population mortality. N Engl J Med [Internet]. 2020;383(7):640–649. [cited 2021 Feb 21]. Available from: http://www.nejm.org/doi/10.1056/NEJMoa1916623
  • Mok T, Camidge DR, Gadgeel SM, et al. Updated overall survival and final progression-free survival data for patients with treatment-naive advanced ALK-positive non-small-cell lung cancer in the ALEX study. Ann Oncol. 2020;31(8):1056–1064. doi: 10.1016/j.annonc.2020.04.478
  • Slatko BE, Gardner AF, Ausubel FM. Overview of Next‐generation sequencing technologies. Curr Protoc Mol Biol. 2018;122(1):122. doi: 10.1002/cpmb.59
  • Magi A, Benelli M, Gozzini A, et al. Bioinformatics for next generation sequencing data. Genes (Basel). 2010;1(2):294–307. doi: 10.3390/genes1020294
  • Le DT, Uram JN, Wang H, et al. PD-1 blockade in tumors with mismatch-repair deficiency. N Engl J Med [Internet]. 2015;372(26):2509–2520. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26028255
  • Salama AKS, Li S, Macrae ER, et al. Dabrafenib and trametinib in patients with tumors with BRAF V600E mutations: results of the NCI-MATCH trial subprotocol H. J Clin Oncol. 2020;38(33):3895–3904. doi: 10.1200/JCO.20.00762
  • Drilon A, Laetsch TW, Kummar S, et al. Efficacy of Larotrectinib in TRK fusion–positive cancers in adults and children. N Engl J Med. 2018;378(8):731–739. doi: 10.1056/NEJMoa1714448
  • Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin [Internet]. 2021;71(3):209–249. Available from: https://onlinelibrary.wiley.com/doi/10.3322/caac.21660
  • Wood DE, Chair V, Aisner DL, et al. NCCN guidelines version 3.2019 non-small cell lung cancer [Internet]. 2019 [cited 2019 Jan 30]. Available from: https://www.nccn.org/professionals/physician_gls/pdf/nscl.pdf
  • Robert NJ, Nwokeji ED, Espirito JL, et al. Biomarker tissue journey among patients (pts) with untreated metastatic non-small cell lung cancer (mNSCLC) in the U.S. Oncology network community practices. J Clin Oncol. 2021;39(15_suppl):9004–9004. doi: 10.1200/JCO.2021.39.15_suppl.9004
  • Adizie JB, Tweedie J, Khakwani A, et al. Biomarker testing for people with advanced lung cancer in England. JTO Clin Res Rep. 2021;2(6):100176. doi: 10.1016/j.jtocrr.2021.100176
  • Provencio M, Cobo M, Rodriguez-Abreu D, et al. Determination of essential biomarkers in lung cancer: a real-world data study in Spain with demographic, clinical, epidemiological and pathological characteristics. BMC Cancer. 2022;22(1):732. doi: 10.1186/s12885-022-09830-8
  • Matsumoto S, Ikeda T, Yoh K, et al. Impact of rapid multigene assays with short turnaround time (TAT) on the development of precision medicine for non-small cell lung cancer (NSCLC). J Clin Oncol. 2021;39(15_suppl):9094–9094. doi: 10.1200/JCO.2021.39.15_suppl.9094
  • Bruno DS, Hess LM, Li X, et al. Racial disparities in biomarker testing and clinical trial enrollment in non-small cell lung cancer (NSCLC). J Clin Oncol. 2021;39(15_suppl):9005–9005. doi: 10.1200/JCO.2021.39.15_suppl.9005
  • Lynch JA, Berse B, Rabb M, et al. Underutilization and disparities in access to EGFR testing among medicare patients with lung cancer from 2010 – 2013. BMC Cancer. 2018;18(1):306. doi: 10.1186/s12885-018-4190-3
  • Kehl KL, Lathan CS, Johnson BE, et al. Race, poverty, and initial implementation of precision medicine for lung cancer. JNCI. 2019;111(4):431–434. doi: 10.1093/jnci/djy202
  • Kembou Nzale S, Weeks WB, Ouafik L, et al. Inequity in access to personalized medicine in France: evidences from analysis of geo variations in the access to molecular profiling among advanced non-small-cell lung cancer patients: results from the IFCT biomarkers France study. PLoS One. 2020;15(7):e0234387. doi: 10.1371/journal.pone.0234387
  • Smeltzer MP, Wynes MW, Lantuejoul S, et al. The International association for the study of lung cancer global survey on molecular testing in lung cancer. J Thorac Oncol. 2020;15(9):1434–1448. doi: 10.1016/j.jtho.2020.05.002
  • Duarte FA, Ferreira CG, Dienstmann R, et al. Barriers in precision medicine implementation among advanced nonsquamous cell lung cancer-patients: a real-world evidence scenario. J Mark Access Health Policy. 2022;10(1):10. doi: 10.1080/20016689.2022.2077905
  • Al-Kateb H, Nguyen TT, Steger-May K, et al. Identification of major factors associated with failed clinical molecular oncology testing performed by next generation sequencing (NGS). Mol Oncol. 2015;9(9):1737–1743. doi: 10.1016/j.molonc.2015.05.004
  • Claudio M, Mauricio C, Olga B, et al. Real‑world evaluation of molecular testing and treatment patterns for EGFR mutations in non‑small cell lung cancer in Latin America. Mol Clin Oncol. 2021;16(1):6. doi: 10.3892/mco.2021.2439
  • Bach PB, Cramer LD, Warren JL, et al. Racial differences in the treatment of early-stage lung cancer. N Engl J Med. 1999;341(16):1198–1205. doi: 10.1056/NEJM199910143411606
  • Forrest LF, Adams J, Wareham H, et al. Socioeconomic inequalities in lung cancer treatment: systematic review and meta-analysis. PLoS Med. 2013;10(2):e1001376. doi: 10.1371/journal.pmed.1001376
  • Compton CC, Robb JA, Anderson MW, et al. Preanalytics and precision pathology: pathology practices to ensure molecular integrity of cancer patient biospecimens for precision medicine. Arch Pathol Lab Med. 2019;143(11):1346–1363. doi: 10.5858/arpa.2019-0009-SA
  • Feero WG, Green ED. Genomics education for Health care professionals in the 21st Century. JAMA. 2011;306(9). doi: 10.1001/jama.2011.1245
  • Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. Genet Med. 2015;17(5):405–424. doi: 10.1038/gim.2015.30
  • Bourret P, Cambrosio A. Genomic expertise in action: molecular tumour boards and decision‐making in precision oncology. Sociol Health Illn. 2019;41(8):1568–1584. doi: 10.1111/1467-9566.12970
  • Ciardiello F, Adams R, Tabernero J, et al. Awareness, understanding, and adoption of precision medicine to deliver personalized treatment for patients with cancer: a multinational survey comparison of physicians and patients. Oncology. 2016;21(3):292–300. doi: 10.1634/theoncologist.2015-0279
  • Chen Y, Guzauskas G, Gu C, et al. Precision Health economics and outcomes research to support precision medicine: big data meets patient heterogeneity on the road to value. J Pers Med. 2016;6(4):20. doi: 10.3390/jpm6040020
  • Faulkner E, Annemans L, Garrison L, et al. Challenges in the development and reimbursement of personalized medicine—payer and manufacturer perspectives and implications for health economics and outcomes research: a report of the ISPOR personalized medicine special interest group. Value Health [Internet]. 2012;15(8):1162–1171. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1098301512016129
  • GoodSmith MS, Skandari MR, Huang ES, et al. The impact of biomarker screening and cascade genetic testing on the cost-effectiveness of MODY genetic testing. Diabetes Care. 2019;42(12):2247–2255. doi: 10.2337/dc19-0486
  • Pisapia P, Pepe F, Baggi A, et al. Next generation diagnostic algorithm in non-small cell lung cancer predictive molecular pathology: the KWAY Italian multicenter cost evaluation study. Crit Rev Oncol Hematol. 2022;169:103525. doi: 10.1016/j.critrevonc.2021.103525
  • Weymann D, Pataky R, Regier DA. Economic evaluations of Next-generation precision oncology: a critical review. JCO Precis Oncol. 2018;2:1–23. doi: 10.1200/PO.17.00311
  • Lieberthal RD, Dudash K, Axelrod R, et al. An economic model to value companion diagnostics in non-small-cell lung cancer. Per Med. 2013;10(2):139–147. doi: 10.2217/pme.13.7
  • Doble B, John T, Thomas D, et al. Cost-effectiveness of precision medicine in the fourth-line treatment of metastatic lung adenocarcinoma: an early decision analytic model of multiplex targeted sequencing. Lung Cancer. 2017;107:22–35. doi: 10.1016/j.lungcan.2016.05.024
  • Schluckebier L, Caetano R, Garay OU, et al. Cost-effectiveness analysis comparing companion diagnostic tests for EGFR, ALK, and ROS1 versus next-generation sequencing (NGS) in advanced adenocarcinoma lung cancer patients. BMC Cancer. 2020;20(1):875. doi: 10.1186/s12885-020-07240-2

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