Evidence map›Paper›PMID 39127745›Full record

Trial reportNature communications2024

Identifying key circulating tumor DNA parameters for predicting clinical outcomes in metastatic non-squamous non-small cell lung cancer after first-line chemoimmunotherapy.

Haolun Ding, Min Yuan, Yaning Yang, Xu Steven Xu

Registry-linked trialAbstract readClinical Trial, Phase III
In one paragraph

Trial report in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02366143 (A Phase III, Open-Label, Randomized Study of Atezolizumab), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT02366143 phase3completednot on this map

A Phase III, Open-Label, Randomized Study of Atezolizumab (MPDL3280A, Anti-PD-L1 Antibody) in Combination With Carboplatin+Paclitaxel With or Without Bevacizumab Compared With Carboplatin + Paclitaxel + Bevacizumab in Chemotherapy-Naïve Patients With Stage IV Non-Squamous Non-Small Cell Lung Cancer

TypeinterventionalSponsorHoffmann-La RocheRan2015 to 2020Enrolled1,202ConditionsCarcinoma, Non-Small-Cell LungArmsAtezolizumab (MPDL3280A), an engineered anti-PD-L1 antibody, Bevacizumab, Carboplatin, Paclitaxel
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
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  8. Article
  9. Observational
  10. Article
  11. Article
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  13. Review
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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

4 authors.

Haolun DingDepartment of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China.
Min YuanDepartment of Health Data Science, Anhui Medical University, Hefei, Anhui, China. myuan@ustc.edu.cn.ORCID 0000-0002-7172-7253
Yaning YangDepartment of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China.
Xu Steven XuClinical Pharmacology and Quantitative Science, Genmab Inc., Princeton, NJ, USA. sxu@genmab.com.ORCID 0000-0001-6997-5533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) provides valuable tumor-related information without invasive biopsies, yet consensus is lacking on optimal parameters for predicting clinical outcomes. Utilizing longitudinal ctDNA data from the large phase 3 IMpower150 study (NCT02366143) of atezolizumab in combination with chemotherapy with or without bevacizumab in patients with stage IV non-squamous Non-Small Cell Lung Cancer (NSCLC), here we report that post-treatment ctDNA response correlates significantly with radiographic response. However, only modest concordance is identified, revealing that ctDNA response is likely not a surrogate for radiographic response; both provide distinct information. Various ctDNA metrics, especially early ctDNA nadirs, emerge as primary predictors for progression-free survival and overall survival, potentially better assessing long-term benefits for chemoimmunotherapy in NSCLC. Integrating radiographic and ctDNA assessments enhances prediction of survival outcomes. We also identify optimal cutoff values for risk stratification and key assessment timepoints, notably Weeks 6-9, for insights into clinical outcomes. Overall, our identified optimal ctDNA parameters can enhance the prediction of clinical outcomes, refine trial designs, and inform therapeutic decisions for first-line NSCLC patients.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungCirculating Tumor DNALung NeoplasmsAgedAntibodies, Monoclonal, HumanizedBevacizumabBiomarkers, TumorFemaleHumansImmunotherapyMaleMiddle AgedProgression-Free SurvivalTreatment OutcomeAntibodies, Monoclonal, HumanizedatezolizumabBevacizumabBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID39127745
PMCPMC11316765

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Registered trials

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.