Increased TRIM31 gene expression is positively correlated with SARS-CoV-2 associated genes TMPRSS2 and TMPRSS4 in gastrointestinal cancers

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Besides typical respiratory symptoms, COVID-19 patients also have gastrointestinal symptoms. Studies focusing on the gastrointestinal tumors derived from gastrointestinal tissues have raised a question whether these tumors might express higher levels of SARS-CoV-2 associated genes and therefore patients diagnosed with GI cancers may be more susceptible to the infection. In this study, we have analyzed the expression of SARS-CoV-2 associated genes and their co-expressions in gastrointestinal solid tumors, cancer cell lines and patient-derived organoids relative to their normal counterparts. Moreover, we have found increased co-expression of TMPRSS2-TMPRSS4 in gastrointestinal cancers suggesting that SARS-CoV-2 viral infection known to be mediated by this protease pair might facilitate the effects of viral infection in GI cancer patients. Further, our findings also demonstrate that TRIM31 expression is upregulated in gastrointestinal tumors, while the inhibition of TRIM31 significantly altered viral replication and viral processes associated with cellular pathways in gastrointestinal cancer samples. Taken together, these findings indicate that in addition to the co-expression of TMPRSS2-TMPRSS4 protease pair in GI cancers, TRIM31 expression is positively correlated with this pair and TRIM31 may play a role in providing an increased susceptibility in GI cancer patients to be infected with SARS-CoV-2 virus.

Related collections

Most cited references 79

Record: found
Abstract: found
Article: not found

Clinical Characteristics of Coronavirus Disease 2019 in China

Wei-jie Guan, Zheng-yi Ni, Yu Hu … (2020)

Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)

0 comments Cited 13719 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

Fei Zhou, Ting Yu, Ronghui Du … (2020)

Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

0 comments Cited 13629 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

A. Subramanian, P. Tamayo, V. K. Mootha … (2005)

Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

0 comments Cited 13369 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Ahmet Acar: acara@metu.edu.tr

Journal

Journal ID (nlm-ta): Sci Rep

Journal ID (iso-abbrev): Sci Rep

Title: Scientific Reports

Publisher: Nature Publishing Group UK (London )

ISSN (Electronic): 2045-2322

Publication date (Electronic): 15 August 2022

Publication date PMC-release: 15 August 2022

Publication date Collection: 2022

Volume: 12

Electronic Location Identifier: 11763

Affiliations

GRID grid.6935.9, ISNI 0000 0001 1881 7391, Department of Biological Sciences, , Middle East Technical University, ; Universiteler Mah. Dumlupınar Bulvarı 1, 06800 Çankaya, Ankara Turkey

Article

Publisher ID: 15911

DOI: 10.1038/s41598-022-15911-2

PMC ID: 9378649

PubMed ID: 35970857

SO-VID: f74d407b-5e2c-404b-ad8d-34f6ada90305

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 9 February 2022

Date accepted : 30 June 2022

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100004410, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu;

Award ID: 118C197

Award Recipient : Mehmet Arda Temena Ahmet Acar

Custom metadata

ScienceOpen disciplines: Uncategorized

Keywords: computational biology and bioinformatics,data processing

Data availability:

ScienceOpen disciplines: Uncategorized

Keywords: computational biology and bioinformatics, data processing

Comments

Comment on this article

scite_

Cited by 7

See all cited by

Most referenced authors 6,502

See all reference authors

Increased TRIM31 gene expression is positively correlated with SARS-CoV-2 associated genes TMPRSS2 and TMPRSS4 in gastrointestinal cancers

Read this article at

Abstract

Related collections

Novel Coronavirus Disease COVID-19

Most cited references 79

Clinical Characteristics of Coronavirus Disease 2019 in China

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Author and article information

Contributors

Journal

Affiliations

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 527

Cited by 7

Most referenced authors 6,502