Evidence map›Paper›PMID 34055645›Full record

ArticleFrontiers in oncology2021

Characterization of the Immune Cell Infiltration Profile in Pancreatic Carcinoma to Aid in Immunotherapy.

De Luo, Fei Kuang, Juan Du, Mengjia Zhou, Fangyi Peng, Yu Gan, Cheng Fang, Xiaoli Yang, Bo Li, Song Su

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

  1. Review
  2. A novel CD8Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  3. Review
  4. Article
  5. 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

10 authors.

De LuoDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Fei KuangDepartment of General Surgery, Changhai Hospital of The Second Military Medical University, Shanghai, China.
Juan DuDepartment of Clinical Medicine, Southwest Medical University, Luzhou, China.
Mengjia ZhouDepartment of Ultrasound, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Fangyi PengDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yu GanDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Cheng FangDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xiaoli YangDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Bo LiDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Song SuDepartment of Hepatobiliary Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is comprised of tumor cells, infiltrating immune cells, and stroma. Multiple reports suggest that the immune cell infiltration (ICI) in TME is strongly associated with responsiveness to immunotherapy and prognosis of certain cancers. Thus far, the ICI profile of pancreatic carcinoma (PC) remains unclear. Here, we employed two algorithms to characterize the ICI profile of PC patients. Based on our results, we identified 2 ICI patterns and calculated the ICI score by using principal component analysis. Furthermore, we revealed that patients with low ICI scores had a better prognosis, compared to high ICI scores. Moreover, we discovered that a low tumor mutation burden (TMB) offered better overall survival (OS), relative to high TMB. In this study, a high ICI score referred to elevated PD-L1/TGF-β levels, increased activation of cell cycle pathway and DNA repair pathway, as well as reduced expression of immune-activation-related genes. We also demonstrated that three metabolic pathways were suppressed in the low ICI score group. These data may explain why a high ICI score equates to a poor prognosis. Based on our analysis, the ICI score can be used as an effective predictor of PC prognosis. Hence, establishing an ICI profile, based on a large patient population, will not only enhance our knowledge of TME but also aid in the development of immunotherapies specific to PC.

Indexed as

immune cell infiltrationimmunotherapypancreatic carcinomaprognostic biomarkertumor microenvironment

Identifiers

PMID34055645
PMCPMC8155731

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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.