Evidence map›Paper›PMID 35874638›Full record

ArticleJournal of oncology2022

Identification of APC Mutation as a Potential Predictor for Immunotherapy in Colorectal Cancer.

Fen Feng, Huake Sun, Zhikun Zhao, Chao Sun, Yongtian Zhao, Hanqing Lin, Jie Yang, Yajie Xiao, Wei Wang, Dongfang Wu

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 17 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

10 authors at 2 institutions in 1 country.

Fen FengCancer Center, The First People's Hospital of Foshan City, Foshan 518100, China.
Huake SunDepartment of Geriatrics, Guangzhou First People's Hospital, Guangzhou 510180, China.
Zhikun ZhaoYuceBio Technology Co., Ltd., Shenzhen 518100, China.
Chao SunYuceBio Technology Co., Ltd., Shenzhen 518100, China.
Yongtian ZhaoYuceBio Technology Co., Ltd., Shenzhen 518100, China.
Hanqing LinYuceBio Technology Co., Ltd., Shenzhen 518100, China.
Jie YangYuceBio Technology Co., Ltd., Shenzhen 518100, China.
Yajie XiaoYuceBio Technology Co., Ltd., Shenzhen 518100, China.ORCID https://orcid.org/0000-0002-0954-267X
Wei WangCancer Center, The First People's Hospital of Foshan City, Foshan 518100, China.ORCID https://orcid.org/0000-0001-5224-9359
Dongfang WuYuceBio Technology Co., Ltd., Shenzhen 518100, China.ORCID https://orcid.org/0000-0002-9811-2291
First People's Hospital of Foshan · CNGuangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, anticancer immunotherapy has presented some clinical benefits to most of advanced mismatch repair deficient (dMMR)/microsatellite instability-high (MSI-H) colorectal cancer (CRC) patients. In addition to MSI status, we aimed to reveal the potential predictive value of adenomatous polyposis coli (APC) gene mutations in CRC patients. A total of 238 Chinese CRC patients was retrospectively identified and analyzed for clinical features and gene alternations in APC-mutant type (MT) and APC-wild-type (WT) groups. Clinical responses were then evaluated from the public TCGA database and MSKCC immunotherapy database. Although programmed cell death ligand 1 (PD-L1) level, MSI status, loss of heterogeneity at the human leukocyte antigen (HLA LOH), and tumor neoantigen burden (TNB) level were not statistically different between the APC-MT group and APC-WT group, tumor mutation burden (TMB) level was significantly higher in APC-MT patients (

Identifiers

PMID35874638
PMCPMC9300385
OpenAlexW4285088313

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.