Evidence map›Paper›PMID 21347785›Full record

ArticleAnnals of surgical oncology2011

MicroRNA expression as a predictive marker for gemcitabine response after surgical resection of pancreatic cancer.

Kenoki Ohuchida, Kazuhiro Mizumoto, Tadashi Kayashima, Hayato Fujita, Taiki Moriyama, Takao Ohtsuka, Junji Ueda, Eishi Nagai, Makoto Hashizume, Masao Tanaka

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  12. Evaluation of Serum microRNA Let-7c and Let-7d as Predictive Biomarkers for Metastatic Pancreatic Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Kenoki OhuchidaDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. kenoki@surg1.med.kyushu-u.ac.jp
Kazuhiro Mizumoto
Tadashi Kayashima
Hayato Fujita
Taiki Moriyama
Takao Ohtsuka
Junji Ueda
Eishi Nagai
Makoto Hashizume
Masao Tanaka
Kyushu University · JPKyushu University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve the prognosis of patients after resection of pancreatic cancer, the most appropriate and efficient treatment should be provided to specific subsets of patients. Our aim was to identify promising microRNAs as markers to predict responses to gemcitabine in patients with resected pancreatic cancer.

methodsTwo gemcitabine-resistant pancreatic cancer cell lines were established, and global microRNA expression analyses was performed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Eleven miRNAs were selected as putative predictive markers and analyzed by means of macrodissected formalin-fixed, paraffin-embedded samples obtained from 90 patients with or without gemcitabine treatment after resection of pancreatic cancer.

resultsWe identified 24 microRNAs whose expression was altered in gemcitabine-resistant cells. qRT-PCR analyses showed that patients with high miR-142-5p and miR-204 expression had significantly longer survival times than those with low miR-142-5p (P = 0.0077) and miR-204 (P = 0.0054) expression in the gemcitabine-treated group. This was not seen in the nontreated group. Multivariate analyses showed that miR-142-5p expression was an independent prognostic marker only in patients treated with gemcitabine (P = 0.034).

conclusionsmiR-142-5p is a promising predictive marker for gemcitabine response in patients with resected pancreatic cancer.

Indexed as

AdultAgedAged, 80 and overAntimetabolites, AntineoplasticBiomarkers, TumorCarcinoma, Pancreatic DuctalCombined Modality TherapyDeoxycytidineFemaleGemcitabineGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedOligonucleotide Array Sequence AnalysisAntimetabolites, AntineoplasticBiomarkers, TumorDeoxycytidineGemcitabineMicroRNAsRNA, Messenger

Identifiers

PMID21347785
PMCPMC3136688
OpenAlexW2068588364

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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.