Evidence map›Paper›PMID 33888849›Full record

ArticleCommunications biology2021

Increased expression of peptides from non-coding genes in cancer proteomics datasets suggests potential tumor neoantigens.

Rong Xiang, Leyao Ma, Mingyu Yang, Zetian Zheng, Xiaofang Chen, Fujian Jia, Fanfan Xie, Yiming Zhou, Fuqiang Li, Kui Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. 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
2.3field-weighted citation impact, top 11% 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, 37 citations in OpenAlex.

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  20. Sources of Cancer Neoantigens beyond Single-Nucleotide Variants.International journal of molecular sciences · 2022
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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.

Rong XiangBGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
Leyao MaBGI-Shenzhen, Shenzhen, China.
Mingyu YangBGI-Shenzhen, Shenzhen, China.
Zetian ZhengBGI-Shenzhen, Shenzhen, China.
Xiaofang ChenBGI-Shenzhen, Shenzhen, China.
Fujian JiaBGI-Shenzhen, Shenzhen, China.
Fanfan XieBGI-Shenzhen, Shenzhen, China.
Yiming ZhouGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Fuqiang LiBGI-Shenzhen, Shenzhen, China.ORCID 0000-0002-2085-1457
Kui WuBGI-Shenzhen, Shenzhen, China.ORCID 0000-0002-6857-7231
Yafeng ZhuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. zhuyaf@mail.sysu.edu.cn.ORCID 0000-0003-1947-9026
BGI Group (China) · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoantigen-based immunotherapy has yielded promising results in clinical trials. However, it is limited to tumor-specific mutations, and is often tailored to individual patients. Identifying suitable tumor-specific antigens is still a major challenge. Previous proteogenomics studies have identified peptides encoded by predicted non-coding sequences in human genome. To investigate whether tumors express specific peptides encoded by non-coding genes, we analyzed published proteomics data from five cancer types including 933 tumor samples and 275 matched normal samples and compared these to data from 31 different healthy human tissues. Our results reveal that many predicted non-coding genes such as DGCR9 and RHOXF1P3 encode peptides that are overexpressed in tumors compared to normal controls. Furthermore, from the non-coding genes-encoded peptides specifically detected in cancers, we predict a large number of "dark antigens" (neoantigens from non-coding genomic regions), which may provide an alternative source of neoantigens beyond standard tumor specific mutations.

Indexed as

Antigens, NeoplasmHumansNeoplasmsPeptidesProteogenomicsProteomeAntigens, NeoplasmPeptidesProteome

Identifiers

PMID33888849
PMCPMC8062694
OpenAlexW3156919028

What OpenQuestion holds

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LicenceCC BY
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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.