Evidence map›Paper›PMID 39343959›Full record

ReviewScientific reports2024

Nanoparticles as a novel key driver for the isolation and detection of circulating tumour cells.

Shahab Bashir, Muhammad Amn Zia, Madiha Shoukat, Imdad Kaleem, Shahid Bashir

Abstract readReview
In one paragraph

Review in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  9. Minimal Residual Disease in Metastatic Soft Tissue Sarcoma.Current treatment options in oncology · 2025
    Review
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  11. 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

5 authors.

Shahab BashirTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Muhammad Amn ZiaTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Madiha ShoukatTranslational Genomics Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.
Imdad KaleemDepartment of Biosciences, COMSATS University Islamabad (CUI), Islamabad, 45550, Pakistan. kaleem.imdad@comsats.edu.pk.
Shahid BashirNeuroscience Centre, King Fahad Specialist Hospital, Dammam, KSA, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumour cells (CTCs), derived from primary tumours, play a pivotal role in cancer metastasis by migrating into the peripheral bloodstream. These cells are paramount in clinical research, serving as early diagnostic markers for metastatic cancer. Analysing CTC counts and their biomarker characteristics can provide invaluable insights into tumour identification, profiling, and metastatic capabilities. However, the rarity and diverse nature of CTCs in the bloodstream present significant challenges to their isolation and detection, especially in the initial stages of metastasis. Recent advancements in nanotechnology have led to the development of innovative CTC separation and detection methods. This review focuses on applying nanoparticles, nanomaterials, and microfluidic platforms to simplify the isolation and detection of CTCs. The infusion of nanotechnology in this field marks a crucial turning point, enabling the necessary progress to advance CTC research.

Indexed as

Cell SeparationNanoparticlesNeoplastic Cells, CirculatingBiomarkers, TumorHumansMicrofluidic Analytical TechniquesNanotechnologyNeoplasmsBiomarkers, TumorDetectionIsolationNanoparticlesNanotechnologyTumour circulating cells

Identifiers

PMID39343959
PMCPMC11439955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.