Evidence map›Paper›PMID 36569270›Full record

ReviewWorld journal of gastroenterology2022

Liquid biopsy leads to a paradigm shift in the treatment of pancreatic cancer.

Fumiaki Watanabe, Koichi Suzuki, Hiroshi Noda, Toshiki Rikiyama

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

4 authors.

Fumiaki WatanabeDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama 330-8503, Japan. fwatanabe@jichi.ac.jp.
Koichi SuzukiDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama 330-8503, Japan.
Hiroshi NodaDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama 330-8503, Japan.
Toshiki RikiyamaDepartment of Surgery, Saitama Medical Center, Jichi Medical University, Saitama 330-8503, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most cancers. Its 5-year survival rate is very low. The recent induction of neoadjuvant chemotherapy and improvements in chemotherapy for patients with pancreatic cancer have resulted in improved survival outcomes. However, the prognosis of pancreatic cancer is still poor. To dramatically improve the prognosis, we need to develop more tools for early diagnosis, treatment selection, disease monitoring, and response rate evaluation. Recently, liquid biopsy (circulating free DNA, circulating tumor DNA, circulating tumor cells, exosomes, and microRNAs) has caught the attention of many researchers as a new biomarker that is minimally invasive, confers low-risk, and displays an overall state of the tumor. Thus, liquid biopsy does not employ the traditional difficulties of obtaining tumor samples from patients with advanced PDAC to investigate their molecular biological status. In addition, it allows for long-term monitoring of the molecular profile of tumor progression. These could help in identifying tumor-specific alterations that use the target structure for tailor-made therapy. Through this review, we highlighted the latest discoveries and advances in liquid biopsy technology in pancreatic cancer research and showed how it can be applied in clinical practice.

Indexed as

Carcinoma, Pancreatic DuctalLiquid BiopsyPancreatic NeoplasmsBiomarkers, TumorDNA, NeoplasmHumansPrognosisBiomarkers, TumorDNA, NeoplasmCell-free DNACirculating tumor cellsCirculating tumor DNAExosomesMicroRNAsPancreatic cancer

Identifiers

PMID36569270
PMCPMC9782840

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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.