Evidence map›Paper›PMID 35694099›Full record

ArticleGland surgery2022

Exploring the correlation analysis of immune microenvironment, mutation burden and prognosis of papillary thyroid carcinoma based on Estimate algorithm.

Ying Wang, Ying He, Liubin Cao, Xiaoqing Peng, Zhenyong Gu, Jun Yan

Open access · diamondAbstract read
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Article in Gland surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 9 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

6 authors at 1 institution in 1 country.

Ying WangDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Ying HeDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Liubin CaoDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Xiaoqing PengDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Zhenyong GuDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Jun YanDepartment of Forensic Medicine, Medical School, Nantong University, Nantong, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate the correlation between immune infiltration and tumor mutational burden (TMB) in papillary thyroid carcinoma. Methods: Transcriptome sequencing data sets, gene mutation data sets, and clinical data sets were downloaded from The Cancer Genome Atlas (TCGA) database. The immune and papillary carcinoma stromal scores were calculated using the "Estimate" package of R software. The relationship between the immune score, stromal score, TMB, and papillary thyroid carcinoma progression-free survival was analyzed. Pearson's test was used to analyze the correlation between the immune score, stromal score, and TMB. Results: The stromal score and immune score of papillary thyroid carcinoma tissue were lower than those of normal thyroid tissue (P=0.008 and P<0.001, respectively). There was no significant difference in progression-free survival between the high stromal and low stromal score groups (P=0.075). The progression-free survival of the high immune score group was better than that of the low immune score group (P=0.029), and the progression-free survival of the low TMB group was better than that of the high TMB group (P<0.001). The high immune score, low TMB group had the best prognosis (P=0.003). Univariate Cox analysis showed that age, pathological stage, and TMB were risk factors for progression-free survival [hazard ratio (HR) >1, P<0.05], and that the immune score was a protective factor for progression-free survival (HR <1, P<0.05). Multivariate Cox analysis showed that age and TMB were independent risk factors for progression-free survival (HR >1, P<0.05), and that the immune score was an independent protective factor for progression-free survival (HR <1, P<0.05). Correlation analysis showed that the immune and stromal score were both negatively correlated with TMB (r=-0.26, P=0.031 and r=-0.41, P=0.028, respectively). Conclusions: The immune and stromal scores of papillary thyroid carcinoma were negatively correlated with TMB. Thyroid cancer gene mutations inhibit immune cell infiltration and alter the thyroid cancer microenvironment. The immune score was an independent protective factor for progression-free survival, while TMB was an independent risk factor, both of which can be used for clinical prognosis assessment. Combined immunological and genomic analysis of papillary thyroid carcinoma can reveal potential prognostic markers and therapeutic targets and provide clues for the tumor immune escape mechanism.

Indexed as

immune scoretumor microenvironmentTumor mutational burden (TMB)

Identifiers

PMID35694099
PMCPMC9177282
OpenAlexW4282947276

What OpenQuestion holds

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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.