Evidence map›Paper›PMID 35444656›Full record

ArticleFrontiers in immunology2022

Identification and Validation in a Novel Quantification System of Ferroptosis Patterns for the Prediction of Prognosis and Immunotherapy Response in Left- and Right-Sided Colon Cancer.

Heng-Chun Zhang, Shen-Hui Deng, Ya-Nan Pi, Jun-Nan Guo, Hua Xi, Xin Shi, Xue-Fei Yang, Bo-Miao Zhang, Wei-Nan Xue, Bin-Bin Cui and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 35 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 2 institutions in 1 country.

Heng-Chun ZhangDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Shen-Hui DengDepartment of Anesthesiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
Ya-Nan PiDepartment of Gynecology, Harbin Medical University Cancer Hospital, Harbin, China.
Jun-Nan GuoDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Hua XiDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xin ShiDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xue-Fei YangThe First Department of Oncology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Bo-Miao ZhangDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Wei-Nan XueDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Bin-Bin CuiDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Yan-Long LiuDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to establish a novel quantification system of ferroptosis patterns and comprehensively analyze the relationship between ferroptosis score (FS) and the immune cell infiltration (ICI) characterization, tumor mutation burden (TMB), prognosis, and therapeutic sensitivity in left-sided and right-sided colon cancers (LCCs and RCCs, respectively). Methods: We comprehensively evaluated the ferroptosis patterns in 444 LCCs and RCCs based on 59 ferroptosis-related genes (FRGs). The FS was constructed to quantify ferroptosis patterns by using principal component analysis algorithms. Next, the prognostic value and therapeutic sensitivities were evaluated using multiple methods. Finally, we performed weighted gene co-expression network analysis (WGCNA) to identify the key FRGs. The IMvigor210 cohort, TCGA-COAD proteomics cohort, and Immunophenoscores were used to verify the predictive abilities of FS and the key FRGs. Results: Two ferroptosis clusters were determined. Ferroptosis cluster B demonstrated a high degree of congenital ICI and stromal-related signal enrichment with a poor prognosis. The prognosis, response of targeted inhibitors, and immunotherapy were significantly different between high and low FS groups (HSG and LSG, respectively). HSG was characterized by high TMB and microsatellite instability-high subtype with poor prognosis. Meanwhile, LSG was more likely to benefit from immunotherapy. ALOX5 was identified as a key FRG based on FS. Patients with high protein levels of ALOX5 had poorer prognoses. Conclusion: This work revealed that the evaluation of ferroptosis subtypes will contribute to gaining insight into the heterogeneity in LCCs and RCCs. The quantification for ferroptosis patterns played a non-negligible role in predicting ICI characterization, prognosis, and individualized immunotherapy strategies.

Indexed as

Colonic NeoplasmsFerroptosisBiomarkers, TumorHumansImmunotherapyPrognosisBiomarkers, Tumorcolon cancerferroptosisimmunityimmunotherapy responseleft-sidedprognosisright-sided

Identifiers

PMID35444656
PMCPMC9014300
OpenAlexW4225820071

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Registered trials

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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.