Evidence map›Paper›PMID 40983343›Full record

ArticleJournal for immunotherapy of cancer2025

Molecular response cutoffs and ctDNA collection timepoints influence on interpretation of associations between early changes in ctDNA and overall survival in patients treated with anti-PD(L)1 and/or chemotherapy.

Hillary S Andrews, Nevine Zariffa, Katherine K Nishimura, Yu Deng, Megan Eisele, Joe Ensor, Carin Espenschied, David Fabrizio, Emily M Goren, Vincent Haddad and 10 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

20 authors.

Hillary S AndrewsFriends of Cancer Research, Washington, District of Columbia, USA handrews@focr.org.ORCID http://orcid.org/0000-0002-0177-2024
Nevine ZariffaNMD Group Inc, Bala Cynwyd, Pennsylvania, USA.
Katherine K NishimuraCancer Research And Biostatistics, Seattle, Washington, USA.
Yu DengGenentech Inc, South San Francisco, California, USA.
Megan EiseleCancer Research And Biostatistics, Seattle, Washington, USA.
Joe EnsorNatera Inc, Austin, Texas, USA.
Carin EspenschiedGuardant Health Inc, Redwood City, California, USA.
David FabrizioFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Emily M GorenCancer Research And Biostatistics, Seattle, Washington, USA.
Vincent HaddadAstraZeneca, Cambridge, UK.
Minetta C LiuNatera Inc, Austin, Texas, USA.
Dimple ModiRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Achim K MoestaRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Katie J QuinnGuardant Health Inc, Redwood City, California, USA.
Adam RosenthalCancer Research And Biostatistics, Seattle, Washington, USA.
Diana Merino VegaAstraZeneca, Gaithersburg, Maryland, USA.ORCID http://orcid.org/0000-0002-6173-6957
Wei ZouGenentech Inc, South San Francisco, California, USA.
Antje HoeringCancer Research And Biostatistics, Seattle, Washington, USA.
Mark StewartFriends of Cancer Research, Washington, District of Columbia, USA.ORCID http://orcid.org/0000-0002-4847-0736
Jeff AllenFriends of Cancer Research, Washington, District of Columbia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor DNA (ctDNA) is a promising intermediate end point for oncology drug development, potentially accelerating regulatory approvals by providing early insights into treatment response. However, challenges remain in standardizing ctDNA assessment, including optimal blood collection timing and defining molecular response (MR) cutoffs. The ctDNA for Monitoring Treatment Response (ctMoniTR) project, led by Friends of Cancer Research, aggregates patient-level data from clinical trials to evaluate associations between ctDNA changes and overall survival (OS).

methodsThis analysis included four randomized clinical trials of patients with advanced non-small cell lung cancer (aNSCLC) treated with either anti-programmed death (ligand) 1 (anti-PD(L)1) therapy (with or without chemotherapy) or chemotherapy alone. MR was assessed using three predefined per cent-change thresholds in ctDNA levels (≥50% decrease, ≥90% decrease, and 100% clearance). ctDNA samples were analyzed at two timepoints: an early window (T1, up to 7 weeks post-treatment initiation) and a later window (T2, 7-13 weeks post-treatment initiation). Multivariable Cox proportional hazards models and time-dependent analyses were used to evaluate associations between ctDNA changes and OS.

resultsA total of 918 patients were included. In the anti-PD(L)1 group, ctDNA reductions at both T1 and T2 were significantly associated with improved OS across all MR thresholds. In the chemotherapy group, associations were weaker at T1 but became more pronounced at T2. Patients with MR at both T1 and T2 had the strongest OS associations. Overall, the results suggest that T2 had marginally stronger association with OS than T1.

conclusionsThis study supports the potential of ctDNA as an intermediate end point in aNSCLC, with MR at both early (T1) and later (T2) timepoints showing significant associations with OS. Differences in ctDNA dynamics between treatment modalities highlight the importance of considering the timing of blood collection. Further research is needed to determine the optimal time window for assessing ctDNA response. Prospective trials and trial-level meta-analyses will be critical to validating ctDNA as a regulatory-grade intermediate end point for oncology drug development.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCirculating Tumor DNAImmune Checkpoint InhibitorsLung NeoplasmsAgedFemaleHumansMaleMiddle AgedB7-H1 AntigenBiomarkers, TumorCirculating Tumor DNAImmune Checkpoint Inhibitorsbiomarkercirculating tumor DNA - ctDNAimmune checkpoint inhibitorlung cancer

Identifiers

PMID40983343
PMCPMC12458711

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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.