Evidence map›Paper›PMID 37099174›Full record

ArticleEuropean radiology2023

Advanced non-small-cell lung cancer treated with first-line pembrolizumab plus chemotherapy: tumor response dynamics as a marker for survival.

Mizuki Nishino, Xinan Wang, Biagio Ricciuti, Shu-Chi Tseng, Hyesun Park, Joao V Alessi, Victor R Vaz, Hiroto Hatabu, Xihong Lin, David C Christiani and 1 more

Abstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mizuki NishinoDepartment of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA. Mizuki_Nishino@DFCI.HARVARD.EDU.ORCID http://orcid.org/0000-0003-0275-0502
Xinan WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
Biagio RicciutiDepartment of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA.
Shu-Chi TsengDepartment of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA.
Hyesun ParkDepartment of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA.
Joao V AlessiDepartment of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA.
Victor R VazDepartment of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA.
Hiroto HatabuDepartment of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
Mark M AwadDepartment of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA.

Funding

The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Automated in vivo analysis of tumor growth rate as a guide for therapeutic decisions to advance personalized cancer treatmentR01CA203636 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NISHINO, MIZUKI · 2017 to 2021
$2.9M
NCI NIH HHS R01 CA203636NCI NIH HHS R01CA203636NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA209414NCI NIH HHS U01CA209414
6 · The paper itself

Abstract

objectivesThe study investigated tumor burden dynamics on computed tomography (CT) scans in patients with advanced non-small-cell lung cancer (NSCLC) during first-line pembrolizumab plus chemotherapy, to provide imaging markers for overall survival (OS).

methodsThe study included 133 patients treated with first-line pembrolizumab plus platinum-doublet chemotherapy. Serial CT scans during therapy were assessed for tumor burden dynamics during therapy, which were studied for the association with OS.

resultsThere were 67 responders, with overall response rate of 50%. The tumor burden change at the best overall response ranged from - 100.0% to + 132.1% (median of - 30%). Higher response rates were associated with younger age (p < 0.001) and higher programmed cell death-1 (PD-L1) expression levels (p = 0.01). Eighty-three patients (62%) showed tumor burden below the baseline burden throughout therapy. Using an 8-week landmark analysis, OS was longer in patients with tumor burden below the baseline burden in the first 8 weeks than in those who experienced ≥ 0% increase (median OS: 26.8 vs. 7.6 months, hazard ratio (HR): 0.36, p < 0.001). Tumor burden remained below their baseline throughout therapy was associated with significantly reduced hazards of death (HR: 0.72, p = 0.03) in the extended Cox models, after adjusting for other clinical variables. Pseudoprogression was noted in only one patient (0.8%).

conclusionsTumor burden staying below the baseline burden throughout the therapy was predictive of prolonged overall survival in patients with advanced NSCLC treated with first-line pembrolizumab plus chemotherapy, and may be used as a practical marker for therapeutic decisions in this widely used combination regimen. CLINICAL RELEVANCE STATEMENT: The analysis of tumor burden dynamics on serial CT scans in reference to the baseline burden can provide an additional objective guide for treatment decision making in patients treated with first-line pembrolizumab plus chemotherapy for their advanced NSCLC. KEY POINTS: • Tumor burden remaining below baseline burden during therapy predicted longer survival during first-line pembrolizumab plus chemotherapy. • Pseudoprogression was noted in 0.8%, demonstrating the rarity of the phenomenon. • Tumor burden dynamics may serve as an objective marker for treatment benefit to guide treatment decisions during first-line pembrolizumab plus chemotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsHumansAntibodies, Monoclonal, HumanizedpembrolizumabCarcinoma, Non-small-cell lungImmune checkpoint inhibitorsResponse Evaluation Criteria in Solid TumorsTumor burden

Identifiers

PMID37099174
PMCPMC10896107

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.