Literature DB >> 24811212

Relationship between progression-free survival and overall survival in patients with advanced non-small cell lung cancer treated with anticancer agents after first-line treatment failure.

Hidekazu Suzuki1, Tomonori Hirashima, Norio Okamoto, Tadahiro Yamadori, Motohiro Tamiya, Naoko Morishita, Takayuki Shiroyama, Sawa Takeoka, Akio Osa, Yuichiro Azuma, Ichiro Kawase.   

Abstract

AIM: The hazard ratio of progression-free survival (PFS-HR) generally does not reflect that of overall survival (OS-HR) in advanced non-small cell lung cancer (NSCLC) patients treated with first-line therapy. Short survival post-progression (SPP) better reflects the PFS-HR and OS-HR in simulations. We aimed to evaluate whether the PFS-HR reflects the OS-HR in NSCLC clinical trials for post-first-line treatments.
METHOD: We reviewed clinical studies of post-first-line anticancer agents for NSCLC. We examined the sample size of the experimental arm (EA), median PFS (mPFS) or median time to progression in the EA, median overall survival (mOS) in the EA, the PFS-HR and the OS-HR. SPP was defined as the difference between mOS and mPFS. The association between mPFS and SPP, mPFS and mOS, and the PFS-HR and OS-HR was tested. We sought for the optimal point of correlation of PFS-HR and OS-HR by every 1 month of SPP.
RESULTS: We identified 32 trials (34 arms). mPFS and mOS were weakly correlated (correlation coefficient [r] = 0.376; P = 0.0286). The PFS-HR and OS-HR were also moderately correlated (r = 0.415; P = 0.015). The maximum r value was 0.770 (SPP < 6 months; P < 0.0001) when we tested the associations between the PFS-HR and OS-HR for SPP using 1-month increments. The estimated regression equation at this point was OS-HR = 0.679 × (PFS-HR) + 0.349.
CONCLUSION: The PFS-HR and OS-HR were strongly correlated in advanced NSCLC patients treated with post-first-line anticancer agents, with a SPP of less than 6 months.
© 2014 Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  anticancer agent; non-small cell lung cancer; overall survival; progression-free survival; survival post-progression

Mesh:

Substances:

Year:  2014        PMID: 24811212     DOI: 10.1111/ajco.12199

Source DB:  PubMed          Journal:  Asia Pac J Clin Oncol        ISSN: 1743-7555            Impact factor:   2.601


  3 in total

1.  Strength of Validation for Surrogate End Points Used in the US Food and Drug Administration's Approval of Oncology Drugs.

Authors:  Chul Kim; Vinay Prasad
Journal:  Mayo Clin Proc       Date:  2016-05-10       Impact factor: 7.616

2.  Estimation of time to progression and post progression survival using joint modeling of summary level OS and PFS data with an ordinary differential equation model.

Authors:  Mario Nagase; Sameer Doshi; Sandeep Dutta; Chih-Wei Lin
Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-07-23       Impact factor: 2.410

Review 3.  Clinical significance of post-progression survival in lung cancer.

Authors:  Hisao Imai; Kyoichi Kaira; Koichi Minato
Journal:  Thorac Cancer       Date:  2017-06-19       Impact factor: 3.500

  3 in total

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