Evidence map›Paper›PMID 33653340›Full record

ArticleCancer cell international2021

Prognostic biomarker TUBA1C is correlated to immune cell infiltration in the tumor microenvironment of lung adenocarcinoma.

Tingting Bian, Miaosen Zheng, Daishan Jiang, Jian Liu, Hui Sun, Xiaoli Li, Lei Liu, Jianguo Zhang, Yifei Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 39 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

9 authors at 1 institution in 1 country.

Tingting Bian *Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.ORCID http://orcid.org/0000-0001-5577-9216
Miaosen Zheng *Department of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Daishan JiangDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Jian LiuDepartment of Chemotherapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Hui SunDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Xiaoli LiDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Lei LiuDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Jianguo ZhangDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. 13815212431@163.com.
Yifei LiuDepartment of Pathology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. ntdxliuyifei@sina.com.
Nantong University · CN

Funding

Jiangsu Post-doctoral Foundation Research Project No.2019Z142Key Talents of Medical Science in Jiangsu Province, China No. QNRC2016682Nantong Municipal Science and technology project No.JCZ0001Nantong Municipal Science and technology project No.MSZ19164Nantong university clinical medicine special clinical basic research youth project No. 2019JQ001
6 · The paper itself

Abstract

backgroundTUBA1C is a microtubule component that is involved in a variety of cancers. Our main objective was to investigate TUBA1C expression, its prognostic value, its potential biological functions, and its impact on the immune system of patients with lung adenocarcinoma (LUAD).

methodsThe Cancer Genome Atlas (TCGA), Gene Expression Profiling Interactive Analysis (GEPIA) and Immunohistochemistry Analysis were used to analyze TUBA1C expression, its clinicopathology, overall survival (OS), and disease-free survival (DFS) in LUAD patients. We also determined the correlation between TUBA1C and tumor-infiltrating immune cells (TIICs) by using CIBERSORT and GEPIA databases. To determine the expression of TUBA1C in LUAD, we analyzed a collection of immune infiltration levels and cumulative survival of LUAD tissues in TIMER database. By using UALCAN, STRING, and GeneMANIA databases, we investigated the protein-coding genes related to TUBA1C and its co-expression genes in LUAD tissues. Gene set enrichment analysis (GSEA) was performed by using the TCGA dataset.

resultsThe mRNA and the protein expression of TUBA1C were found to be up-regulated in LUAD tissues. The univariate analysis indicated that an increased expression of TUBA1C was significantly correlated to the following parameters: age, stage, and lymph node metastasis. An over-expression of TUBA1C was associated with a poor prognosis of LUAD. In TIMER and CIBERSORT databases, we found that TUBA1C is correlated with 13 types of TIICs: activated B cell, activated CD4 T cell, central memory CD4 T cell, effector memory CD8 T cell, eosinophils, immature B cell, gamma-delta T cell, immature dendritic cell, mast cell, memory B cell, natural killer T cell, regulatory T cell, and type 2T helper cell. By performing GSEA, we found that TUBA1C is closely correlated to cell cycle, p53 signaling pathway, glycolysis, and gluconeogenesis.

conclusionsOur findings indicate that TUBA1C is associated with TIICs in tumor microenvironment. Therefore, it serves as a novel prognostic biomarker and a target for future treatment methods of LUAD.

Indexed as

DiagnosisLung adenocarcinomaPrognosisTUBA1CTumor-infiltrating immune cells

Identifiers

PMID33653340
PMCPMC7923461
OpenAlexW3134912163

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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.