Evidence map›Paper›PMID 34665935›Full record

ArticleCancer cytopathology2022

Evaluation and diagnostic value of next-generation sequencing analysis of residual liquid-based cytology specimens of pancreatic masses.

Yoko Sekita-Hatakeyama, Tomomi Fujii, Takeshi Nishikawa, Akira Mitoro, Masayoshi Sawai, Hiroe Itami, Kouhei Morita, Tomoko Uchiyama, Maiko Takeda, Masayuki Sho and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer cytopathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Finding More in Less: Precision Medicine for Pancreatic Cancer Using Residual Cytology Samples.Cytopathology : official journal of the British Society for Clinical Cytology · 2026
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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

13 authors at 3 institutions in 1 country.

Yoko Sekita-HatakeyamaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Tomomi FujiiDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Takeshi NishikawaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Akira MitoroDepartment of Gastroenterology, Nara Medical University, Kashihara, Japan.
Masayoshi SawaiDepartment of Gastroenterology, Minami-Nara General Medical Center, Oyodo-Cho, Japan.
Hiroe ItamiDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Kouhei MoritaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Tomoko UchiyamaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Maiko TakedaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.
Masayuki ShoDepartment of Surgery, Nara Medical University, Kashihara, Japan.
Hitoshi YoshijiDepartment of Gastroenterology, Nara Medical University, Kashihara, Japan.
Kinta HatakeyamaDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.ORCID 0000-0001-7729-1836
Chiho OhbayashiDepartment of Diagnostic Pathology, Nara Medical University, Kashihara, Japan.ORCID 0000-0002-8046-9508
Nara Medical University · JPNational Cerebral and Cardiovascular Center · JPOsaka Minami Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiquid-based cytology (LBC) is a widely used method for processing specimens obtained by endoscopic biopsy. This study evaluated next-generation sequencing (NGS) analysis of LBC specimens to improve the diagnostic accuracy of pancreatic lesions.

methodsUpon the diagnosis of a suspected pancreatic mass, LBC residues were used retrospectively. The quantity and quality of DNA extracted from residual LBC samples were evaluated, and an NGS analysis targeting 6 genes (KRAS, GNAS, TP53, CDKN2A, SMAD4, and PIK3CA) was performed.

resultsThe library was prepared from LBC specimens taken from 52 cases: 44 were successful, and 8 preparations failed. An analysis of DNA quantity and quality suggested that the success or failure of NGS implementation depended on both properties. The final diagnosis was achieved by a combination of the pathological analysis of the surgical excision or biopsy material with clinical information. Among the 33 cases of pancreatic ductal adenocarcinoma (PDAC), KRAS, TP53, CDKN2A, and SMAD4 mutations were identified in 31 (94%), 16 (48%), 3 (9%), and 2 (6%), respectively. Among the 11 benign cases, only a KRAS mutation was identified in 1 case. On the basis of NGS results, 18 of 33 PDACs (55%) were classified as highly dysplastic or more, and 10 of 11 benign lesions were evaluated as nonmalignant, which was consistent with the final diagnosis.

conclusionsNGS analysis using LBC specimens from which DNA of appropriate quantity and quality has been extracted could contribute to improving the assessment of pancreatic tumor malignancies and the application of molecular-targeted drugs.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsEndoscopic Ultrasound-Guided Fine Needle AspirationHigh-Throughput Nucleotide SequencingHumansMutationProto-Oncogene Proteins p21(ras)Retrospective StudiesProto-Oncogene Proteins p21(ras)liquid-based cytologymutationnext-generation sequencingpancreatic ductal carcinomapancreatic lesionsproto-oncogene proteins p21(ras)

Identifiers

PMID34665935
PMCPMC9297882
OpenAlexW3207737048

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.