Literature DB >> 35038126

Real-world data of off-label drug use in patients with actionable genomic alterations on next-generation sequencing.

Gabriel Roman Souza1, Ahmed Abdalla2, Sukeshi Arora2, Daruka Mahadevan2.   

Abstract

Introduction We analyzed the outcomes of patients with advanced cancers in our institution treated with off-label drugs targeting actionable genomic alteration based on next-generation sequencing who did not qualify for clinical trials. Purposes Our study endpoint was objective tumor response or stable disease at 16 weeks or later after treatment initiation. Methods Sixteen patients were included, 8 treated with immune checkpoint inhibitors targeting PD-L1 expression or TP53 mutations and 8 with other drugs. Tumors were analyzed based on PD-L1 expression, TP53 mutation, MSI, TMB, MMR status, and other targetable alterations. Results Of the 16 patients in the intention-to-treat group, no patients had an objective response after 16 weeks. Eleven patients met the primary study endpoint with stable disease, 8 in the immune checkpoint inhibitors group and 3 in the non-immune checkpoint inhibitors group. Using the log-rank test, the p-value for the difference between groups was 0.008. Conclusions In this study with off-label drugs, immune checkpoint inhibitors targeting TP53 mutations or PD-L1 expression were superior to the other drugs. This suggests the possibility of off-label use of anti-cancer drugs based on next-generation sequencing to be beneficial for advanced cancer patients without other therapeutic options.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cancer drugs; Immune checkpoint inhibitors; Next-generation sequencing; Off-label drug use; PD-L1; TP53

Mesh:

Substances:

Year:  2022        PMID: 35038126     DOI: 10.1007/s10637-022-01213-x

Source DB:  PubMed          Journal:  Invest New Drugs        ISSN: 0167-6997            Impact factor:   3.651


  6 in total

1.  High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types.

Authors:  D J McGrail; P G Pilié; N U Rashid; L Voorwerk; M Slagter; M Kok; E Jonasch; M Khasraw; A B Heimberger; B Lim; N T Ueno; J K Litton; R Ferrarotto; J T Chang; S L Moulder; S-Y Lin
Journal:  Ann Oncol       Date:  2021-03-15       Impact factor: 32.976

2.  Association of TP53 mutations with response and longer survival under immune checkpoint inhibitors in advanced non-small-cell lung cancer.

Authors:  Sandra Assoun; Nathalie Theou-Anton; Marina Nguenang; Aurélie Cazes; Claire Danel; Baptiste Abbar; Johan Pluvy; Valérie Gounant; Antoine Khalil; Céline Namour; Solenn Brosseau; Gérard Zalcman
Journal:  Lung Cancer       Date:  2019-04-08       Impact factor: 5.705

3.  Next-Generation Sequencing in 305 Consecutive Patients: Clinical Outcomes and Management Changes.

Authors:  William Davis; Gabriel Makar; Pallav Mehta; Gord G Zhu; Robert Somer; Jamin Morrison; Gregory J Kubicek
Journal:  J Oncol Pract       Date:  2019-08-02       Impact factor: 3.840

4.  Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study.

Authors:  Aurélien Marabelle; Marwan Fakih; Juanita Lopez; Manisha Shah; Ronnie Shapira-Frommer; Kazuhiko Nakagawa; Hyun Cheol Chung; Hedy L Kindler; Jose A Lopez-Martin; Wilson H Miller; Antoine Italiano; Steven Kao; Sarina A Piha-Paul; Jean-Pierre Delord; Robert R McWilliams; David A Fabrizio; Deepti Aurora-Garg; Lei Xu; Fan Jin; Kevin Norwood; Yung-Jue Bang
Journal:  Lancet Oncol       Date:  2020-09-10       Impact factor: 41.316

5.  KRASG12C/TP53 co-mutations identify long-term responders to first line palliative treatment with pembrolizumab monotherapy in PD-L1 high (≥50%) lung adenocarcinoma.

Authors:  Nikolaj Frost; Jens Kollmeier; Claudia Vollbrecht; Christian Grah; Burkhard Matthes; Dennis Pultermann; Maximilian von Laffert; Heike Lüders; Elisabeth Olive; Matthias Raspe; Thomas Mairinger; Sebastian Ochsenreither; Torsten Blum; Michael Hummel; Norbert Suttorp; Martin Witzenrath; Christian Grohé
Journal:  Transl Lung Cancer Res       Date:  2021-02

6.  Specific TP53 subtype as biomarker for immune checkpoint inhibitors in lung adenocarcinoma.

Authors:  Hao Sun; Si-Yang Liu; Jia-Ying Zhou; Jin-Tian Xu; Huang-Kai Zhang; Hong-Hong Yan; Jiao-Jiao Huan; Ping-Ping Dai; Chong-Rui Xu; Jian Su; Yan-Fang Guan; Xin Yi; Rong-Shan Yu; Wen-Zhao Zhong; Yi-Long Wu
Journal:  EBioMedicine       Date:  2020-09-11       Impact factor: 8.143

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.