Evidence map›Paper›PMID 35463211›Full record

ArticleMolecular and clinical oncology2022

Size-based isolation and detection of renal carcinoma cells from whole blood.

Roger De Alwis, Jennifer Hansson, David Lindgren, Sarah Schoch, Alexander Tejera, Bianca Scholtz, Peter Elfving, Christina Möller, Helén Nilsson, Martin Johansson and 1 more

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2022. 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

11 authors.

Roger De AlwisDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
Jennifer HanssonDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
David LindgrenDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
Sarah SchochDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
Alexander TejeraDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
Bianca ScholtzDepartment of Urology, Skåne University Hospital, 214 28 Malmö, Sweden.
Peter ElfvingDepartment of Urology, Skåne University Hospital, 214 28 Malmö, Sweden.
Christina MöllerDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.
Helén NilssonCenter for Molecular Pathology, Department of Translational Medicine, Skåne University Hospital, 214 28 Malmö, Sweden.
Martin JohanssonCenter for Molecular Pathology, Department of Translational Medicine, Skåne University Hospital, 214 28 Malmö, Sweden.
Håkan AxelsonDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, 223 81 Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a tumour type with an indolent growth pattern and rather vague symptoms. The present study developed a platform for liquid biopsy of RCC based upon the isolation of circulating tumour cells (CTCs). Founded on the observation that RCC tumour cells are considerably larger than leucocytes, the present study employed a microfluidics-based system for isolation of RCC CTCs from whole blood. Using this system, it was revealed that 66% of spiked-in RCC tumour cells could be retrieved using this approach. Furthermore, it was demonstrated that these cells could be molecularly detected with digital PCR using RCC-specific genes down to one tumour cell, whilst avoiding detection in samples lacking tumour cells. Finally, subtype specific transcripts were identified to distinguish the different subtypes of RCC, which were then validated in patient tumours. The present study established a novel workflow for the isolation of RCC CTCs from whole blood, with the potential to detect these cells irrespective of subtype.

Indexed as

circulating tumour cellskidney cancerliquid biopsymolecular diagnostics

Identifiers

PMID35463211
PMCPMC9022084

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Registered trials

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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.