Evidence map›Paper›PMID 38994174›Full record

ArticleWorld journal of gastrointestinal oncology2024

Fine-needle aspiration technique under endoscopic ultrasound guidance: A technical approach for RNA profiling of pancreatic neoplasms.

Sabina Sherafedinovna Seyfedinova, Olga Aleksandrovna Freylikhman, Polina Sergeevna Sokolnikova, Konstantin Aleksandrovich Samochernykh, Anna Aleksandrovna Kostareva, Olga Viktorovna Kalinina, Evgeniy Gennadievich Solonitsyn

Abstract read
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Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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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

7 authors.

Sabina Sherafedinovna SeyfedinovaResearch Laboratory of Digestive Cancer, Almazov Medical Research Centre, Saint-Petersburg 197341, Russia. seysabina000@gmail.com.
Olga Aleksandrovna FreylikhmanResearch Laboratory of Digestive Cancer, Almazov Medical Research Centre, Saint-Petersburg 197341, Russia.
Polina Sergeevna SokolnikovaResearch Laboratory of Molecular and Cellular Modeling and Gene Therapy, Almazov Medical Research Centre, Saint-Petersburg 197341, Russia.
Konstantin Aleksandrovich SamochernykhHead of Russian Neurosurgical Institute Named after Prof. A. L. Polenova, Russian Neurosurgical Institute Named after Prof. A. L. Polenova, Saint-Petersburg 191014, Russia.
Anna Aleksandrovna KostarevaHead of Institute of Molecular Biology and Genetics, Almazov National Medical Research Centre, Saint-Petersburg 197341, Russia.
Olga Viktorovna KalininaResearch Laboratory of Autoimmune and Autoinflammatory Diseases, Almazov National Medical Research Centre, Saint-Petersburg 197341, Russia.
Evgeniy Gennadievich SolonitsynResearch Laboratory of Digestive Cancer, Almazov Medical Research Centre, Saint-Petersburg 197341, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of pancreatic ductal adenocarcinoma (PDAC) has been a longstanding challenge. The prognosis of patients with PDAC depends on the stage at diagnosis. It is necessary to identify biomarkers for the detection and differentiation of pancreatic tumors and optimize PDAC sample preparation procedures for DNA and RNA analysis. Most molecular studies are done using paraffin-embedded blocks; however, the integrity of DNA and RNA is often compromised in this format. Moreover, RNA isolated from human pancreatic tissue samples is generally of low quality, in part, because of the high concentration of endogenous pancreatic RNAse activity present.

aimTo assess the potential of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) to obtain specimens from pancreatic neoplasms for subsequent RNA molecular profiling, including next-generation sequencing (NGS).

methodsThirty-four EUS-FNA samples were included in this study: PDAC (

resultsRNA was successfully extracted from 29/34 (85%) EUS-FNA samples: 100% pancreatic adenocarcinoma samples, 100% chronic pancreatitis samples, 70% pancreatic fluid cyst samples, and 50% TTNB samples. The relative expression of GAPDH and HPRT were obtained for all successfully extracted RNA samples (

conclusionThe results demonstrate the high potential of EUS-FNA material for RNA profiling of various pancreatic lesions, including low-quality RNA specimens.

Indexed as

Endoscopic ultrasound-guided, fine-needle aspirationNext-generation sequencingPancreatic cancerPancreatic cystsRNA extractionThrough-the-needle biopsy

Identifiers

PMID38994174
PMCPMC11236257

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