Evidence map›Paper›PMID 35406597›Full record

ArticleCancers2022

Robust Validation and Comprehensive Analysis of a Novel Signature Derived from Crucial Metabolic Pathways of Pancreatic Ductal Adenocarcinoma.

Wenchao Gu, Shaocong Mo, Yulin Wang, Reika Kawabata-Iwakawa, Wei Zhang, Zongcheng Yang, Chenyu Sun, Yoshito Tsushima, Huaxiang Xu, Takahito Nakajima

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 8 institutions in 4 countries.

Wenchao GuDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan.ORCID 0000-0002-1505-9887
Shaocong MoDepartment of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200437, China.
Yulin WangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai 200437, China.
Reika Kawabata-IwakawaDivision of Integrated Oncology Research, Gunma University Initiative for Advanced Research, Maebashi 371-8511, Japan.ORCID 0000-0002-3504-1393
Wei ZhangDivision of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Zongcheng YangDivision of Life Sciences and Medicine, Center of Stomatology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230026, China.
Chenyu SunAMITA Health St. Joseph Hospital, Chicago, IL 60657, USA.ORCID 0000-0003-3812-3164
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan.ORCID 0000-0002-6889-1570
Huaxiang XuDepartment of Pancreatic Surgery, Shanghai Cancer Center, Fudan University, Shanghai 200437, China.
Takahito NakajimaDepartment of Diagnostic and Interventional Radiology, University of Tsukuba, Ibaraki 305-8577, Japan.ORCID 0000-0001-6704-2297
Gunma University · JPUniversity of Tsukuba · JPFudan University · CNFudan University Shanghai Cancer Center · CNSun Yat-sen University · CNTrinity Hospital of Augusta · USUniversity of Manchester · GBUniversity of Science and Technology of China · CN

Funding

Natural Science Foundation of Shanghai 19ZR1410800
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with a dismal prognosis. PDAC have extensively reprogrammed metabolic characteristics influenced by interactions with normal cells, the effects of the tumor microenvironment and oncogene-mediated cell-autonomous pathways. In this study, we found that among all cancer hallmarks, metabolism played an important role in PDAC. Subsequently, a 16-gene prognostic signature was established with genes derived from crucial metabolic pathways, including glycolysis, bile acid metabolism, cholesterol homeostasis and xenobiotic metabolism (gbcx). The signature was used to distinguish overall survival in multiple cohorts from public datasets as well as a validation cohort followed up by us at Shanghai Cancer Center. Notably, the gbcx-related risk score (gbcxMRS) also accurately predicted poor PDAC subtypes, such as pure-basal-like and squamous types. At the same time, it also predicted PDAC recurrence. The gbcxMRS was also associated with immune cells, especially CD8 T cells, Treg cells. Furthermore, a high gbcxMRS may indicate high drug sensitivity to irinotecan and docetaxel and CTLA4 inhibitor immunotherapy. Taken together, these results indicate a robust and reproducible metabolic-related signature based on analysis of the overall pathogenesis of pancreatic cancer, which may have excellent prognostic and therapeutic implications for PDAC.

Indexed as

drug sensitivitymetabolic pathwayspancreatic ductal adenocarcinomaprognosisrecurrence

Identifiers

PMID35406597
PMCPMC8997486
OpenAlexW4223448111

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.