Evidence map›Paper›PMID 35943151›Full record

ArticleThe Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology2022

Evaluation of Serum microRNA Let-7c and Let-7d as Predictive Biomarkers for Metastatic Pancreatic Cancer.

Atike Gökçen Demiray, Aydın Demiray, Arzu Yaren, Burcu Yapar Taşköylü, Gamze Gököz Doğu, Serkan Değirmencioğlu, Umut Çakıroğlu, Nail Özhan, Canan Karan, Burçin Çakan Demirel and 2 more

Open access · diamondAbstract read
In one paragraph

Article in The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 1 institution in 1 country.

Atike Gökçen DemirayDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Aydın DemirayDepartment of Medical Genetics, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Arzu YarenDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Burcu Yapar TaşköylüDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Gamze Gököz DoğuDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Serkan DeğirmencioğluDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Umut ÇakıroğluDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Nail ÖzhanDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Canan KaranDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Burçin Çakan DemirelDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Tolga DoğanDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Melek ÖzdemirDepartment of Medical Oncology, Pamukkale University Faculty of Medicine, Denizli, Turkey.
Pamukkale University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFirst-line treatments for metastatic pancreatic cancer are chemotherapy regimens consisting of 5-fluorouracil or gemcitabine; however, there are no biomarkers to help determine which patients might benefit from which treatment regimens. We aimed to show that microRNAs let-7c and 7d can be used as independent predictive biomarkers for metastatic pancreatic cancer.

methodsA total of 55 patients who had first-line chemotherapy with FOLFIRINOX or gemcitabine+capecitabine were included. Patients were divided into groups based on let-7c and let-7d levels and chemotherapy treatment as let-7c-7d high FOLFIRINOX, let7c-7d high gemcitabine+capecitabine, let-7c-7d low FOLFIRINOX, and let-7c-7d low gemcitabine+capecitabine. Blood samples were taken from patients before chemotherapy for microRNA let-7c and 7d analysis. MicroRNA isolation was performed using a miRNeasy Serum/Plasma Kit and identified using spectrophotometric measurements. After isolation, microRNA was converted to cDNA using a microRNA cDNA Synthesis Kit with poly (A) polymerase tailing. The expression of microRNA was examined using quantitative real-time polymerase chain reaction.

resultsThe overall survival of patients who received FOLFIRINOX treatment with a high let-7c-7d level was statistically significantly longer than those who received gemcitabine+capecitabine with a high let-7c-7d level. In addition, patients with low let-7c expression receiving FOLFIRINOX progressed significantly 2.104 times earlier than patients with high let-7c expression receiving FOLFIRINOX.

conclusionThe serum MicroRNA let-7c level was found to be an independent predictive biomarker in the FOLFIRINOX treatment group.

Indexed as

MicroRNAsPancreatic NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsBiomarkersCapecitabineDNA, ComplementaryHumansRNA, MessengerBiomarkersCapecitabineDNA, ComplementaryMicroRNAsMIRNlet-7c microRNA, humanmirnlet7 microRNA, humanRNA, Messenger

Identifiers

PMID35943151
PMCPMC9524463
OpenAlexW4281561982

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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.