Evidence map›Paper›PMID 37480572›Full record

ArticleAging2023

Comparative analyses of the prognosis, tumor immune microenvironment, and drug treatment response between left-sided and right-sided colon cancer by integrating scRNA-seq and bulk RNA-seq data.

Lichao Cao, Shenrui Zhang, Danni Yao, Ying Ba, Qi Weng, Jin Yang, Hezi Zhang, Yanan Ren

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

8 authors at 2 institutions in 1 country.

Lichao CaoProvincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi’an, China.
Shenrui ZhangShenzhen Nucleus Gene Technology Co., Ltd., Shenzhen, China.
Danni YaoProvincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi’an, China.
Ying BaShenzhen Nucleus Gene Technology Co., Ltd., Shenzhen, China.
Qi WengShenzhen Nucleus Gene Technology Co., Ltd., Shenzhen, China.
Jin YangProvincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi’an, China.
Hezi ZhangShenzhen Nucleus Gene Technology Co., Ltd., Shenzhen, China.
Yanan RenProvincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi’an, China.
Ministry of Education of the People's Republic of China · CNNorthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we compared the prognosis, tumor immune microenvironment (TIM), and drug treatment response between left-sided (LCC) and right-sided (RCC) colon cancer to predict outcomes in patients with LCC and RCC.

methodsBased on identified differentially expressed genes and using single-cell RNA sequencing data, we constructed and validated a prognostic model for LCC and RCC patients in the TCGA-COAD cohort and GSE103479 cohort. Moreover, we compared the differences of TIM characteristics and drug treatment response between LCC and RCC patients.

resultsWe constructed and validated a five-gene prognostic model for LCC patients and a four-gene prognostic model for RCC patients, and both showed excellent performance. The RCC patients with higher risk scores were significantly associated with greater metastasis (

conclusionsWe investigated the differences in prognosis, TIM, and drug treatment response between LCC and RCC patients, which may contribute to accurate colon cancer prognosis and treatment of colon cancer.

Indexed as

Carcinoma, Renal CellColonic NeoplasmsKidney NeoplasmsHumansPrognosisRNA-SeqSingle-Cell Gene Expression AnalysisTumor Microenvironmentcolon cancerleft-sided and right-sidedprognosisscRNA-seqtreatment

Identifiers

PMID37480572
PMCPMC10415577
OpenAlexW4384942772

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.