Evidence map›Paper›PMID 39037536›Full record

ArticleOncology and therapy2024

Dynamic Changes in Circulating Tumor Fraction as a Predictor of Real-World Clinical Outcomes in Solid Tumor Malignancy Patients Treated with Immunotherapy.

Ryan D Gentzler, John Guittar, Akash Mitra, Wade T Iams, Terri Driessen, Regina Schwind, Michelle M Stein, Kristiyana Kaneva, Seung Won Hyun, Yan Liu and 12 more

Abstract read
In one paragraph

Article in Oncology and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  3. Overcoming tumour resistance in cancer immunotherapy through predictive and pharmacodynamic biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
    Review
  9. 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

22 authors.

Ryan D Gentzler *Department of Hematology and Oncology, University of Virginia, Charlottesville, VA, USA.
John Guittar *Tempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Akash MitraTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Wade T IamsDivision of Hematology/Oncology, Vanderbuilt-Ingram Cancer Center, Nashville, TN, USA.
Terri DriessenTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Regina SchwindTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Michelle M SteinTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Kristiyana KanevaTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Seung Won HyunTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Yan LiuTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Adam J DuganTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Cecile Rose T VibatTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Chithra SangliTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Jonathan FreaneyTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Zachary RiversTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Josephine L FelicianoHematology Oncology, John Hopkins Bayview Medical Center, Baltimore, MD, USA.
Christine LoTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Kate SasserTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Rotem Ben-ShacharTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA. rotem.benshachar@tempus.com.ORCID http://orcid.org/0000-0002-2717-0259
Halla NimeiriTempus AI, Inc., 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Jyoti D PatelDepartment of Medicine, Northwestern University, Evanston, IL, USA.
Aadel A ChaudhuriDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA dynamic molecular biomarker that can identify early efficacy of immune checkpoint inhibitor (ICI) therapy remains an unmet clinical need. Here we evaluate if a novel circulating tumor DNA (ctDNA) assay, xM, used for treatment response monitoring (TRM), that quantifies changes in ctDNA tumor fraction (TF), can predict outcome benefits in patients treated with ICI alone or in combination with chemotherapy in a real-world (RW) cohort.

methodsThis retrospective study consisted of patients with advanced cancer from the Tempus de-identified clinical genomic database who received longitudinal liquid-based next-generation sequencing. Eligible patients had a blood sample ≤ 40 days prior to the start of ICI initiation and an on-treatment blood sample 15-180 days post ICI initiation. TF was calculated via an ensemble algorithm that utilizes TF estimates derived from variants and copy number information. Patients with molecular response (MR) were defined as patients with a ≥ 50% decrease in TF between tests. In the subset of patients with rw-imaging data between 2 and 18 weeks of ICI initiation, the predictive value of MR in addition to rw-imaging was compared to a model of rw-imaging alone.

resultsThe evaluable cohort (N = 86) was composed of 14 solid cancer types. Patients received either ICI monotherapy (38.4%, N = 33) or ICI in combination with chemotherapy (61.6%, N = 53). Patients with MR had significantly longer rw-overall survival (rwOS) (hazard ratio (HR) 0.4, P = 0.004) and rw-progression free survival (rwPFS) (HR 0.4, P = 0.005) than patients with molecular non-response (nMR). Similar results were seen in the ICI monotherapy subcohort; HR 0.2, P = 0.02 for rwOS and HR 0.2, P = 0.01 for rwPFS. In the subset of patients with matched rw-imaging data (N = 51), a model incorporating both MR and rw-imaging was superior in predicting rwOS than rw-imaging alone (P = 0.02).

conclusionsxM used for TRM is a novel serial quantitative TF algorithm that can be used clinically to evaluate ICI therapy efficacy.

Indexed as

ctDNA longitudinal biomarkersImmune checkpoint inhibitorsReal-world dataTreatment response monitoring

Identifiers

PMID39037536
PMCPMC11333675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.