Evidence map›Paper›PMID 36968641›Full record

ArticleJournal of oncology2023

Construction of a Prognostic Model for Predicting Colorectal Cancer Prognosis and Response to Immunotherapy Based on Cuproptosis-Associated lncRNAs.

Yi Yang, Xiaoli Wang, Jin Lu, Zhiyong Dong, Ruixiang Hu, Wenhui Chen, Songhao Hu, Guanhua Lu, Biao Huang, Shiliang Dong and 2 more

Open access · hybridFull text read
In one paragraph

Article in Journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 1 country.

Yi YangDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-9111-346X
Xiaoli WangWest General Department, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID https://orcid.org/0009-0000-8120-2082
Jin LuKey Laboratory of Computational Medicine and Intelligent Health of Anhui Higher Education Institutes, Bengbu Medical College, Bengbu, Anhui, China.ORCID https://orcid.org/0009-0009-1079-4573
Zhiyong DongDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-6934-8043
Ruixiang HuDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0004-2068-8583
Wenhui ChenDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-8206-0733
Songhao HuDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-7382-0489
Guanhua LuDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0002-9969-7156
Biao HuangDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2166-2444
Shiliang DongDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0006-9418-9079
Lu WangInstitute of Precision Cancer Medicine and Pathology, Jinan University Medical College, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0009-3819-5185
Cunchuan WangDepartment of Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2576-7462
First Affiliated Hospital of Jinan University · CNJinan University · CNBengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a common and highly lethal gastrointestinal malignancy. Immunotherapy has shown positive efficacy in the treatment of CRC; however, only a minority of patients benefit from immunotherapy. The aim of this study is to construct a cuproptosis-related lncRNA (CRLs) risk score model to predict the prognosis and immune infiltration of CRC patients. Firstly, we synthetically analyzed 19 cuproptosis-related genes (CRGs) from CRC samples derived from the TCGA and obtained 33 CRLs that were significantly associated with prognosis. Next, we defined three cuproptosis modification patterns via consensus clustering analysis (C1, C2, and C3). Further analysis showed that there were significant differences in the abundance of B cells, NK cells, fibroblasts, monocytes, CD8

Identifiers

PMID36968641
PMCPMC10033210
OpenAlexW4324353494

What OpenQuestion holds

Textfull text, public
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.