Evidence map›Paper›PMID 29541203›Full record

ArticleOncology letters2018

Transcriptome-derived stromal and immune scores infer clinical outcomes of patients with cancer.

Wei Liu, Hua Ye, Ying-Fu Liu, Chao-Qun Xu, Yue-Xian Zhong, Tian Tian, Shi-Wei Ma, Huan Tao, Ling Li, Li-Chun Xue and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

55 citing papers in PubMed, 63 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

11 authors at 3 institutions in 1 country.

Wei LiuSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Hua YeDepartment of Gastroenterology, Ningbo Medical Treatment Center Lihuili Hospital, Ningbo, Zhejiang 315040, P.R. China.
Ying-Fu LiuDepartment of Cell Biology, Logistics University of Chinese Armed Police Forces, Tianjin 300309, P.R. China.
Chao-Qun XuSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Yue-Xian ZhongSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Tian TianSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Shi-Wei MaSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Huan TaoSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Ling LiSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Li-Chun XueSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Hua-Qin HeSchool of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, P.R. China.
Fujian Agriculture and Forestry University · CNLogistics University of People's Armed Police Force · CNNingbo Medical Center Lihuili Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stromal and immune cells that form the tumor microenvironment serve a key role in the aggressiveness of tumors. Current tumor-centric interpretations of cancer transcriptome data ignore the roles of stromal and immune cells. The aim of the present study was to investigate the clinical utility of stromal and immune cells in tissue-based transcriptome data. The 'Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data' (ESTIMATE) algorithm was used to probe diverse cancer datasets and the fraction of stromal and immune cells in tumor tissues was scored. The association between the ESTIMATE scores and patient survival data was asessed; it was indicated that the two scores have implications for patient survival, metastasis and recurrence. Analysis of a colorectal cancer progression dataset revealed that decreased levels immune cells could serve an important role in cancer progression. The results of the present study indicated that trasncriptome-derived stromal and immune scores may be a useful indicator of cancer prognosis.

Indexed as

immune cellsrecurrencestromal cellssurvival

Identifiers

PMID29541203
PMCPMC5835954
OpenAlexW2790394531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.