Evidence map›Paper›PMID 38300468›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2024

Robust detection of clinically relevant features in single-cell RNA profiles of patient-matched fresh and formalin-fixed paraffin-embedded (FFPE) lung cancer tissue.

Alexandra Trinks, Miha Milek, Dieter Beule, Julie Kluge, Stefan Florian, Christine Sers, David Horst, Markus Morkel, Philip Bischoff

Open access · hybridAbstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 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
3.0field-weighted citation impact, top 9% of its field
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, 14 citations in OpenAlex.

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  11. Single-Nucleus RNA-Seq: Open the Era of Great Navigation for FFPE Tissue.International journal of molecular sciences · 2023
    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

9 authors at 3 institutions in 1 country.

Alexandra TrinksBioportal Single Cells, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-9983-1506
Miha MilekCore Unit Bioinformatics (CUBI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0803-8439
Dieter BeuleCore Unit Bioinformatics (CUBI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-3284-0632
Julie KlugeInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Stefan FlorianInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-0193-1320
Christine SersInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-6219-1514
David HorstInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0003-4755-5743
Markus Morkel *Bioportal Single Cells, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany. markus.morkel@charite.de.ORCID http://orcid.org/0000-0002-2553-9999
Philip Bischoff *Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. philip.bischoff@charite.de.ORCID http://orcid.org/0000-0002-4442-7116
German Cancer Research Center · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEHumboldt-Universität zu Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSingle-cell transcriptional profiling reveals cell heterogeneity and clinically relevant traits in intra-operatively collected patient-derived tissue. So far, single-cell studies have been constrained by the requirement for prospectively collected fresh or cryopreserved tissue. This limitation might be overcome by recent technical developments enabling single-cell analysis of FFPE tissue.

methodsWe benchmark single-cell profiles from patient-matched fresh, cryopreserved and archival FFPE cancer tissue.

resultsWe find that fresh tissue and FFPE routine blocks can be employed for the robust detection of clinically relevant traits on the single-cell level. Specifically, single-cell maps of fresh patient tissues and corresponding FFPE tissue blocks could be integrated into common low-dimensional representations, and cell subtype clusters showed highly correlated transcriptional strengths of signaling pathway, hallmark, and clinically useful signatures, although expression of single genes varied due to technological differences. FFPE tissue blocks revealed higher cell diversity compared to fresh tissue. In contrast, single-cell profiling of cryopreserved tissue was prone to artifacts in the clinical setting.

conclusionOur analysis highlights the potential of single-cell profiling in the analysis of retrospectively and prospectively collected archival pathology cohorts and increases the applicability in translational research.

Indexed as

FormaldehydeLung NeoplasmsParaffin EmbeddingSingle-Cell AnalysisTissue FixationCryopreservationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTranscriptomeFormaldehydeFFPE tissue analysisLung cancerSingle-cell RNA sequencingSingle-cell transcriptomicsTumor heterogeneity

Identifiers

PMID38300468
PMCPMC11322409
OpenAlexW4391447275

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.