Evidence map›Paper›PMID 35967414›Full record

ArticleFrontiers in immunology2022

Classification of colon adenocarcinoma based on immunological characterizations: Implications for prognosis and immunotherapy.

Midie Xu, Jinjia Chang, Wenfeng Wang, Xin Wang, Xu Wang, Weiwei Weng, Cong Tan, Meng Zhang, Shujuan Ni, Lei Wang and 5 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 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 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

15 authors at 5 institutions in 1 country.

Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jinjia ChangDepartment of Oncology, Shanghai Medical college, Fudan University, Shanghai, China.
Wenfeng WangShanghai Urological Cancer Institute, Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
Xin WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xu WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Weiwei WengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Cong TanDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Meng ZhangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shujuan NiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Lei WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhaohui HuangWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Zhenzhong DengDepartment of Oncology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wenhua LiDepartment of Oncology, Shanghai Medical college, Fudan University, Shanghai, China.
Dan HuangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Weiqi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNFudan University · CNWuxi Fourth People's Hospital · CNXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate immune molecular typing is pivotal for screening out patients with colon adenocarcinoma (COAD) who may benefit from immunotherapy and whose tumor microenvironment (TME) was needed for reprogramming to beneficial immune-mediated responses. However, little is known about the immune characteristic of COAD. Here, by calculating the enrichment score of immune characteristics in three online COAD datasets (TCGA-COAD, GSE39582, and GSE17538), we identified 17 prognostic-related immune characteristics that overlapped in at least two datasets. We determined that COADs could be stratified into three immune subtypes (IS1-IS3), based on consensus clustering of these 17 immune characteristics. Each of the three ISs was associated with distinct clinicopathological characteristics, genetic aberrations, tumor-infiltrating immune cell composition, immunophenotyping (immune "hot" and immune "cold"), and cytokine profiles, as well as different clinical outcomes and immunotherapy/therapeutic response. Patients with the IS1 tumor had high immune infiltration but immunosuppressive phenotype, IS3 tumor is an immune "hot" phenotype, whereas those with the IS2 tumor had an immune "cold" phenotype. We further verified the distinct immune phenotype of IS1 and IS3 by an in-house COAD cohort. We propose that the immune subtyping can be utilized to identify COAD patients who will be affected by the tumor immune microenvironment. Furthermore, the ISs may provide a guide for personalized cancer immunotherapy and for tumor prognosis.

Indexed as

AdenocarcinomaColonic NeoplasmsHumansImmunotherapyPrognosisTumor Microenvironmentcolon adenocarcinomaimmune characteristicsimmune subtype analysisprognosistherapy response

Identifiers

PMID35967414
PMCPMC9363576
OpenAlexW4288033574

What OpenQuestion holds

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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.