Evidence map›Paper›PMID 42321882›Full record

ArticleExperimental hematology & oncology2026

A multimodal single-cell framework for ecosystem-level profiling of circulating tumor and non-tumor cells.

Gabriela Felix, Francesca Aguirre, Lisa Zhou, Aaron Denmark, Rocio Alvarez, Daniel M Kim, Jun Gong, Megan P Hitchins

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Gabriela FelixDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. gabriela.felix@moffitt.org.
Francesca AguirreDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Lisa ZhouDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Aaron DenmarkDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Rocio AlvarezDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel M KimDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jun GongDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Megan P HitchinsDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. megan.hitchins@moffitt.org.

Funding

Discovery and verification of methylated circulating tumor DNA markers for the detection of colorectal cancer in subjects under 50 years of ageR01CA252042 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI HAILE, ROBERT WILLIAM, HITCHINS, MEGAN P · 2021 to 2025
$3.3M
NCI NIH HHS R01CA252042
6 · The paper itself

Abstract

Multimodal profiling of circulating tumor cells (CTCs) and non-tumor circulating cells was performed in six patients with advanced colorectal cancer to identify biological programs beyond enumeration-based analyses. Across all patients, we identified 3,981 CTCs characterized by pronounced EpCAM/L1CAM co-expression, variable PD-L1 expression, and low LGR5 expression, consistent with metastatic-associated phenotypes. Integrated single-cell multi-omics analysis of 1,720 cells revealed genomic instability within EpCAM⁺, L1CAM⁺, LGR5⁺, and PD-L1⁺ CTC subsets, including Y-chromosome loss in male patients and marked intra-patient heterogeneity. In parallel, non-CTCs exhibited upregulation of inflammatory and metabolic dysregulation programs. This hypothesis-generating study highlights the relevance of blood-based multimodal single-cell profiling for interrogating tumor-host states beyond insights from CTC enumeration alone.

Indexed as

Circulating tumor cellsColorectal cancerSingle-cell multimodal profiling

Identifiers

PMID42321882
PMCPMC13281560

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.