Evidence map›Paper›PMID 31637211›Full record

ArticleFrontiers in oncology2019

Integrative Analysis Reveals Across-Cancer Expression Patterns and Clinical Relevance of Ribonucleotide Reductase in Human Cancers.

Yongfeng Ding, Tingting Zhong, Min Wang, Xueping Xiang, Guoping Ren, Zhongjuan Jia, Qinghui Lin, Qian Liu, Jingwen Dong, Linrong Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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

18 authors at 4 institutions in 2 countries.

Yongfeng DingDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tingting ZhongDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Min WangDepartment of Human Genetics, Zhejiang University School of Medicine, Hangzhou, China.
Xueping XiangDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Guoping RenKey Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Department of Medical Oncology, Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhongjuan JiaDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qinghui LinDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qian LiuDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jingwen DongDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Linrong LiDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiawei LiDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haiping JiangKey Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Department of Medical Oncology, Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lijun ZhuKey Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Department of Medical Oncology, Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haoran LiDiscovery Biochemistry, Kymera Therapeutics, Cambridge, MA, United States.
Dejun ShenSouthern California Permanente Medical Group, Department of Pathology, Downey Medical Center, Downey, CA, United States.
Lisong TengKey Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Department of Medical Oncology, Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Chen LiDepartment of Human Genetics, Zhejiang University School of Medicine, Hangzhou, China.
Jimin ShaoDepartment of Pathology & Pathophysiology, and Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhejiang University · CNAkebia Therapeutics (United States) · USMinistry of Education of the People's Republic of China · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining cancer-omics databases deepens our understanding of cancer biology and can lead to potential breakthroughs in cancer treatment. Here, we propose an integrative analytical approach to reveal across-cancer expression patterns and identify potential clinical impacts for genes of interest from five representative public databases. Using ribonucleotide reductase (RR), a key enzyme in DNA synthesis and cancer-therapeutic targeting, as an example, we characterized the mRNA expression profiles and inter-component associations of three

Indexed as

cancer-omicsclinical relevanceexpression characteristicsgene networksintegrative analysisribonucleotide reductase

Identifiers

PMID31637211
PMCPMC6788385
OpenAlexW2978169388

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.