Evidence map›Paper›PMID 34589110›Full record

ArticleFrontiers in genetics2021

Gene Expression Profiling of Tricarboxylic Acid Cycle and One Carbon Metabolism Related Genes for Prognostic Risk Signature of Colon Carcinoma.

Zheying Zhang, Huifang Zhu, Qian Li, Wuji Gao, Dan Zang, Wei Su, Rui Yang, Jiateng Zhong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Biomarker Identification and Risk Prediction Model Development for Differentiated Thyroid Carcinoma Lung Metastasis Based on Primary Lesion Proteomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

8 authors at 2 institutions in 1 country.

Zheying ZhangDepartment of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.
Huifang ZhuDepartment of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.
Qian LiDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Wuji GaoDepartment of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.
Dan ZangDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Wei SuDepartment of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Rui YangSynthetic Biology Engineering Laboratory of Henan Province, School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, China.
Jiateng ZhongDepartment of Pathology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.
Xinxiang Medical University · CNFirst Affiliated Hospital of Xinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most prevalent malignant tumors worldwide. Colon adenocarcinoma (COAD) is the most common pathological type of CRC and several biomarkers related to survival have been confirmed. Yet, the predictive effect of a single gene biomarker is not enough. The tricarboxylic acid (TCA) cycle and carbon metabolism play an important role in tumors. Thus, we aimed to identify new gene signatures from the TCA cycle and carbon metabolism to better predict the survival of COAD. This study performed mRNA expression profiling in large COAD cohorts (

Indexed as

colon adenocarcinomaone carbon metabolismprognosticsignatureTCA cycle

Identifiers

PMID34589110
PMCPMC8475515
OpenAlexW3199238029

What OpenQuestion holds

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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.