Evidence map›Paper›PMID 39304879›Full record

ArticleJournal of translational medicine2024

Miniaturized protein profiling permits targeted signaling pathway analysis in individual circulating tumor cells to improve personalized treatment.

Mahdi Rivandi, André Franken, Liwen Yang, Anna Abramova, Nadia Stamm, Jens Eberhardt, Berthold Gierke, Meike Beer, Tanja Fehm, Dieter Niederacher and 2 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. 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

12 authors.

Mahdi RivandiDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
André FrankenDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Liwen YangDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Anna AbramovaDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Nadia StammDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Jens EberhardtSartorius Automated Lab Solutions GmbH, Jena, Germany.
Berthold GierkeNMI TT GmbH, Protein Profiling, Reutlingen, Germany.
Meike BeerNMI Natural and Medical Sciences Institute at the University of Tuebingen, Reutlingen, Germany.
Tanja FehmDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Dieter NiederacherDepartment of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Michael Pawlak *NMI TT GmbH, Protein Profiling, Reutlingen, Germany. Michael.Pawlak@nmi-tt.de.
Hans Neubauer *Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of Heinrich Heine University Duesseldorf, Duesseldorf, Germany. Hans.Neubauer@med.uni-duesseldorf.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional genomic profiling and mutation analysis of single cells like Circulating Tumor Cells (CTCs) fails to capture post-translational and functional alterations of proteins, often leading to limited treatment efficacy. To overcome this gap, we developed a miniaturized 'protein analysis on the single cell level' workflow-baptized ZeptoCTC. It integrates established technologies for single-cell isolation with sensitive Reverse Phase Protein Array (RPPA) analysis, thus enabling the comprehensive assessment of multiple protein expression and activation in individual CTCs.

methodsThe ZeptoCTC workflow involves several critical steps. Firstly, individual cells are labeled and isolated. This is followed by cell lysis and the printing of true single cell lysate preparations onto a ZeptoChip using a modified micromanipulator, CellCelector™. The printed lysates then undergo fluorescence immunoassay RPPA protein detection using a ZeptoReader. Finally, signal quantification is carried out with Image J software, ensuring precise measurement of multiple protein levels.

resultsThe efficacy of ZeptoCTC was demonstrated through various applications. Initially, it was used for measuring EpCAM protein expression, a standard marker for CTC detection, revealing higher levels in single MCF-7 over MDA-MB-231 tumor cells. Furthermore, in Capivasertib (Akt-inhibitor)-treated MCF-7 single cells, ZeptoCTC detected a 2-fold increase in the pAkt/Akt ratio compared to control cells, and confirmed co-performed bulk-cell western blot analysis results. Notably, when applied to individual CTCs from metastasized breast cancer patients, ZeptoCTC revealed significant differences in protein activation levels, particularly in measured pAkt and pErk levels, compared to patient-matched WBCs. Moreover, it successfully differentiated between CTCs from patients with different Akt1 genotypes, highlighting its potential to determine the activation status of druggable cancer driving proteins for individual and targeted treatment decision making.

conclusionsThe ZeptoCTC workflow represents a valuable tool in single cell cancer research, crucial for personalized medicine. It permits detailed analysis of key proteins and their activation status of targeted, cancer-driven signaling pathways in single cell samples, aiding in understanding tumor response, progression, and treatment efficacy beyond bulk analysis. The method significantly advances clinical investigations in cancer, improving treatment precision and effectiveness. The workflow will be applicable to protein analysis on other types of single cells like relevant in stem cell, neuropathology and hemopoietic cell research.

Indexed as

Neoplastic Cells, CirculatingPrecision MedicineSignal TransductionSingle-Cell AnalysisBreast NeoplasmsCell Line, TumorFemaleHumansProtein Array AnalysisProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-aktBreast cancerCirculating tumor cellPersonalized medicineProtein analysisSingle cell proteomics

Identifiers

PMID39304879
PMCPMC11414235

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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.