Evidence map›Paper›PMID 41516258›Full record

ReviewInternational journal of molecular sciences2025

Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.

Maja Chrzempiec, Urszula Oleksiewicz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Maja ChrzempiecDepartment of Cancer Immunology, Poznan University of Medical Sciences, Rokietnicka Street 8, 60-806 Poznan, Poland.
Urszula OleksiewiczDepartment of Cancer Immunology, Poznan University of Medical Sciences, Rokietnicka Street 8, 60-806 Poznan, Poland.ORCID 0000-0003-0357-9284

Funding

National Science Centre UMO-2023/50/E/NZ5/00507
6 · The paper itself

Abstract

Lung cancer, as one of the most prevalent and lethal malignancies, requires immediate and effective therapeutic solutions. Therefore, additional innovative methods are continually sought to achieve optimal treatment outcomes. Various markers are used to select the most effective therapies, assess clinical responses, and facilitate follow-up care for the patients. Circulating tumor cells (CTCs) remain a valuable biomarker in clinical management of cancer patients due to the range of information they provide and their high prognostic and predictive potential in monitoring anticancer therapy. CTCs constitute a heterogeneous population of cancer cells that undergo an epithelial-to-mesenchymal transition (EMT), are shed from the tumor mass, and migrate through the peripheral blood, ultimately causing metastases. In this literature review, we focus on the biological, biochemical, and biophysical properties of CTCs, specifically from the perspective of the design of CTC enumeration technologies. Furthermore, we combine the available data on the application of CTC count in monitoring various treatment modalities in lung cancer, including radiotherapy, chemotherapy, tyrosine kinase inhibitors, and immunotherapy. Although many published reports indicate that an increased number of CTCs in blood samples of lung cancer patients correlates with worse treatment outcomes, several limitations hinder the widespread usage of CTCs in the clinical setting.

Indexed as

Lung NeoplasmsNeoplastic Cells, CirculatingAnimalsBiomarkers, TumorEpithelial-Mesenchymal TransitionHumansLiquid BiopsyPrognosisBiomarkers, Tumorcirculating tumor cells (CTCs)liquid biopsylung cancerpredictive markerprognostic marker

Identifiers

PMID41516258
PMCPMC12785353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.