Evidence map›Paper›PMID 38732320›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Comprehensive Genomic Studies on the Cell Blocks of Pancreatic Cancer.

Ricella Souza da Silva, Maria João Pina, Luís Cirnes, Luís Gouveia, André Albergaria, Fernando Schmitt

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Next step of molecular pathology: next-generation sequencing in cytology.Journal of pathology and translational medicine · 2024
    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

6 authors.

Ricella Souza da SilvaIPATIMUP Diagnostics, IPATIMUP-Institute of Molecular Pathology and Immunology of Porto University, 4200-135 Porto, Portugal.ORCID 0000-0002-3860-6660
Maria João PinaIPATIMUP Diagnostics, IPATIMUP-Institute of Molecular Pathology and Immunology of Porto University, 4200-135 Porto, Portugal.
Luís CirnesIPATIMUP Diagnostics, IPATIMUP-Institute of Molecular Pathology and Immunology of Porto University, 4200-135 Porto, Portugal.
Luís GouveiaFaculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
André AlbergariaIPATIMUP Diagnostics, IPATIMUP-Institute of Molecular Pathology and Immunology of Porto University, 4200-135 Porto, Portugal.ORCID 0000-0002-2315-2360
Fernando SchmittIPATIMUP Diagnostics, IPATIMUP-Institute of Molecular Pathology and Immunology of Porto University, 4200-135 Porto, Portugal.ORCID 0000-0003-1006-6946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the deadliest malignancies, characterized by late-stage diagnosis and limited treatment options. Comprehensive genomic profiling plays an important role in understanding the molecular mechanisms underlying the disease and identifying potential therapeutic targets. Cell blocks (CBs), derived from EUS-FNA, have become valuable resources for diagnosis and genomic analysis. We examine the molecular profile of pancreatic ductal adenocarcinoma (PDAC) using specimens obtained from CB EUS-FNA, across a large gene panel, within the framework of next-generation sequencing (NGS). Our findings revealed that over half (55%) of PDAC CB cases provided adequate nucleic acid for next-generation sequencing, with tumor cell percentages averaging above 30%. Despite challenges such as low DNA quantification and degraded DNA, sequencing reads showed satisfactory quality control statistics, demonstrating the detection of genomic alterations. Most cases (84.6%) harbored at least one gene variant, including clinically significant gene mutation variants such as KRAS, TP53, and CDKN2A. Even at minimal concentrations, as long as the extracted DNA is of high quality, performing comprehensive molecular profiling on PDAC samples from cell blocks has remained feasible. This strategy has yielded valuable information about the diagnosis, genetic landscape, and potential therapeutic targets, aligning closely with a precision cytopathology approach.

Indexed as

cell blockscytopathologylarge genomic panelmolecular testingpancreatic cancer

Identifiers

PMID38732320
PMCPMC11083533

What OpenQuestion holds

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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.