Evidence map›Paper›PMID 32547088›Full record

ArticleOncoTargets and therapy2020

Significance of Tumor-Infiltrating Immune Cells in the Prognosis of Colon Cancer.

Dejun Wu, Yue Ding, Tingfeng Wang, Peng Cui, Liangliang Huang, Zhijun Min, Ming Xu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 29 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

7 authors at 1 institution in 1 country.

Dejun Wu *Department of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Yue Ding *Department of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.ORCID 0000-0001-6007-7024
Tingfeng Wang *Department of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Peng CuiDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Liangliang HuangDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Zhijun MinDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Ming XuDepartment of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Pudong, Shanghai 201399, People's Republic of China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncreasing evidence has indicated an association between immune infiltration in colon cancer and clinical outcomes. The aim of this research is to comprehensively investigate the effect of 22 tumor-infiltrating immune cells (TIICs) on the prognosis of colon cancer patients.

methodsIn our research, CIBERSORT algorithm was used to calculate the proportion of 22 TIICs in 369 colon cancer cases and 39 normal cases from the TCGA cohort. Cox regression analysis was used to analyze the effect of 22 TIICs on the prognosis of colon cancer. Immune risk scoring model was constructed based on the statistical correlation between TIICs subpopulation and survival. Meanwhile, multivariate Cox regression analysis was utilized to investigate whether the immune risk score model was an independent factor for predicting the prognosis of colon cancer. Nomogram was constructed to comprehensively predict the survival rate of colon cancer. P< 0.05 was considered to be statistically significant.

resultsThe results of the difference analysis showed that except for 12 TIICs, the remaining immune cells exhibited no differential infiltration between normal and colon cancer tissues (p<0. 05). Univariate Cox regression analysis revealed 5 immune cells statistically correlated with colon cancer-related survival risk, including B cells naive, B cells memory, monocytes, macrophages M0, macrophages M1 (P<0.05). In addition, a four-cell based immune risk scoring model was constructed through LASSO Cox regression analysis. KM curve indicated that patients in highrisk were associated with poor outcomes (p<0.001). ROC curve indicated that the immune risk score model was reliable in predicting survival risk (AUC=0.848). Our model showed satisfying AUC and survival correlation in the validation dataset (3-year over survival (OS) AUC=0.941, 5-year OS AUC=0.865, P=0.022). Furthermore, multivariate Cox regression analysis confirmed that the immune risk score model was an independent factor for predicting the prognosis of colon cancer (hazard ratio (HR) =5.017, 95% confidence interval (CI) =2.336-10.777; P<0.001). Ultimately, a nomogram was established to comprehensively predict the survival of colon cancer patients with the results of multivariate Cox regression analysis.

conclusionCollectively, tumor-infiltrating immune cells played an essential role in the prognosis of colon cancer. Furthermore, immune risk score was an independent predictive factor of colon cancer, indicating a poor survival.

Indexed as

colon cancerimmune risk score modelnomogramprognosisTIICs

Identifiers

PMID32547088
PMCPMC7250301
OpenAlexW3026419726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.