Identification of HMGB2 associated with proliferation, invasion and prognosis in lung adenocarcinoma via weighted gene co-expression network analysis

Qiu, Xie; Liu, Wei; Zheng, Yifan; Zeng, Kai; Wang, Hao; Sun, Han‐Dong; Dai, Jianhua

doi:10.1186/s12890-022-02110-y

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…High levels of HMGB2 correlate with the primary tumor size, invasion capacity, and the stage of tumor development [50,71,175,197]. Recent experiments have shown that malignant cells contain significantly more protein than neighboring normal tissues [197,[201][202][203], which was reliably confirmed in the study of the mechanisms of development of non-small-cell lung cancer [201][202][203] and adenocarcinoma of the lung [204]. Additionally, high expression of HMGB2 correlates with metastasis and, in some cases, with a decrease in sensitivity to certain anticancer drugs, such as cisplatin [98], leading a resistance of cancer cells to chemotherapy and poor prognosis.…”

Section: Increased Hmgb2 Expressionmentioning

confidence: 76%

Structure and Functions of HMGB2 Protein

Starkova

Polyanichko

Tomilin

et al. 2023

IJMS

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High-Mobility Group (HMG) chromosomal proteins are the most numerous nuclear non-histone proteins. HMGB domain proteins are the most abundant and well-studied HMG proteins. They are involved in variety of biological processes. HMGB1 and HMGB2 were the first members of HMGB-family to be discovered and are found in all studied eukaryotes. Despite the high degree of homology, HMGB1 and HMGB2 proteins differ from each other both in structure and functions. In contrast to HMGB2, there is a large pool of works devoted to the HMGB1 protein whose structure–function properties have been described in detail in our previous review in 2020. In this review, we attempted to bring together diverse data about the structure and functions of the HMGB2 protein. The review also describes post-translational modifications of the HMGB2 protein and its role in the development of a number of diseases. Particular attention is paid to its interaction with various targets, including DNA and protein partners. The influence of the level of HMGB2 expression on various processes associated with cell differentiation and aging and its ability to mediate the differentiation of embryonic and adult stem cells are also discussed.

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Section: Increased Hmgb2 Expressionmentioning

confidence: 76%

Structure and Functions of HMGB2 Protein

Starkova

Polyanichko

Tomilin

et al. 2023

IJMS

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“…Researchers [11][12][13][14][15][16][17][18][19][20] used an identical data set, but the model's robustness was degraded. Because the U-NET could not be utilized with new data types, the IOU intersection and dice co-efficient index accuracy were unavailable.…”

Section: Related Workmentioning

confidence: 99%

Lung Cancer Classification with Improvised Three Parameter Logistic Type Distribution Model

Joshua¹,

Bhattacharyya²,

Rao³

et al. 2023

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Lung cancer is the leading cause of mortality worldwide, affecting both men and women equally. Identifying and treating these nodules when they are still tiny may increase their chances of survival significantly. However, due to the large amount of data generated by this CT scanner, manual segmentation and interpretation takes a long time and is quite challenging to do on your own. When a radiologist focuses on the patient's body, it increases the strain on the radiologist, and the likelihood of missing pathological information, such as abnormalities, is also increased. One of the primary objectives of this project is to develop computer-assisted diagnosis and detection of lung cancer. It also intends to make it easier for radiologists to identify and diagnose lung cancer more rapidly and accurately. Based on a unique picture feature, the proposed strategy k into consideration the spatial interaction of voxels that were next to one another. Using the U-NET+Three parameter logistic distribution-based technique, we were able to replicate the situation. According to the researchers, the proposed technique method DSC of 97.3%, a sensitivity of 96.5%, and a specificity of 94.1% when tested on the LuNa-16 dataset. At long last, this research investigates how diverse lung segmentation, juxta pleural nodule inclusion, and pulmonary nodule segmentation approaches may be applied to create CAD systems. Other objectives include making it possible to conduct research into lung segmentation and automated pulmonary nodule segmentation while also improving the power and effectiveness of computer-assisted diagnosis of lung cancer, which relies on correct pulmonary nodule segmentation to be successful.

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“…With the advancement of bioinformatics, new cancer-related genes can be recognized. Previous studies have successfully found some LUAD-related genes, including C10rf74 (7), CLDN18 (8), and HMGB2 (9). The identification of potential targets is conducive to the development of LUAD therapy.…”

Section: Introductionmentioning

confidence: 99%

Nucleophosmin promotes lung adenocarcinoma cell proliferation, migration and invasion by activating the EGFR/MAPK signaling pathway

Zhu

et al. 2023

Oncol Rep

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Lung adenocarcinoma (LUAD) is the main cause of death globally. The present study investigated the prognostic value and functional verification of nucleophosmin (NPM1) in LUAD. LUAD and normal samples from The Cancer Genome Atlas were analyzed to identify whether NPM1 is associated with LUAD prognosis. NPM1 protein expression level was verified by western blotting. Cell proliferation, migration and invasion were detected by Cell Counting Kit-8, wound healing and Transwell assays, respectively. EGFR/MAPK pathway-related proteins [phosphorylated (p)-EGFR/EGFR, p-MEK/MEK, and p-ERK/ERK] expression was measured through western blotting. A xenograft tumor mice model was constructed to perform the in vivo verification. NPM1 was upregulated in LUAD cells, and high-level NPM1 indicated poor prognosis in patients with LUAD. In vitro experiments revealed that NPM1 knockdown inhibited LUAD cell proliferation, migration and invasion. Moreover, protein expression of p-EGFR/EGFR, p-MEK/MEK and p-ERK/ERK was reduced with the NPM1 silencing. Furthermore, EGF, an activator of the EGFR/MAPK pathway, reversed the effects of NPM1. In vivo experiments showed that NPM1 knockdown inhibited tumor growth and protein levels of p-EGFR/EGFR, p-MEK/MEK and p-ERK/ERK. NPM1 is related to the poor prognosis of LUAD and promotes the malignant progression of LUAD by activating the EGFR/MAPK pathway. This discovery provides a new potential therapeutic target for the diagnosis and treatment of LUAD.

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Identification of HMGB2 associated with proliferation, invasion and prognosis in lung adenocarcinoma via weighted gene co-expression network analysis

Cited by 6 publications

References 41 publications

Structure and Functions of HMGB2 Protein

Structure and Functions of HMGB2 Protein

Lung Cancer Classification with Improvised Three Parameter Logistic Type Distribution Model

Nucleophosmin promotes lung adenocarcinoma cell proliferation, migration and invasion by activating the EGFR/MAPK signaling pathway

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