Evidence map›Paper›PMID 42052464›Full record

ArticleFrontiers in oncology2026

Comprehensive profiling of alternative splicing and immune landscapes in rectal cancer: implications for mRNA vaccine design and immune subtype stratification.

Jiawen Weng, Huangjin Luo, Tong Gao, Yichi Zhang, Yingting Zhuang, Yongmei Dai

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jiawen Weng *Departments of Oncology, Shengli Clinical Medical College of Fujian Medical University & Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Huangjin Luo *Department of Gynecology, Shengli Clinical Medical College of Fujian Medical University& Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Tong Gao *Departments of Oncology, Shengli Clinical Medical College of Fujian Medical University & Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Yichi ZhangSchool of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Yingting ZhuangSchool of Pharmacy, Fujian Medical University, Fuzhou, China.
Yongmei DaiDepartments of Oncology, Shengli Clinical Medical College of Fujian Medical University & Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: mRNA vaccines have emerged as a promising platform for cancer immunotherapy, particularly following the success of COVID-19 vaccines. However, the development of cancer vaccines presents challenges such as difficulties in antigen prediction and poor immunogenicity, especially in identifying and delivering highly immunogenic tumor-specific antigens. The variability and low immunogenicity of tumor antigens further complicates this process. Methods: This study utilized public data and bioinformatics analysis to identify potential tumor antigens in cancer and characterize different immune subtypes. This approach aims to guide the development of cancer mRNA vaccines with enhanced immune response. Results: In the cancer genome atlas rectal adenocarcinoma(TCGA-READ), Exon skipping was the most common alternative splicing event in TCGA-READ, whereas mutually exclusive exons were the least common. We identified 4480 upregulated and 3328 downregulated AS events, with missense mutations being the most frequent. A total of 217 potential antigen genes were identified by intersecting upregulated AS anomalies and frameshift mutations. Conclusions:

Indexed as

FAM135Aimmune subtypesmRNA vaccinesrectal cancertumor antigen

Identifiers

PMID42052464
PMCPMC13110952

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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.