Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC–MS/MS and machine learning

Li, J.; Mi, Lusi; Ran, Bingyu; Sui, Cheng; Zhou, Liping; Li, F.; Dionigi, Gianlorenzo; Sun, Hui; Liang, Nan

doi:10.1007/s40618-022-01960-x

Cited by 9 publications

(3 citation statements)

References 45 publications

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“…Li et al . 113 found that FN1 effectively discriminated between N1 and N0 PTMC patients. Similarly, Cao et al .…”

Section: Molecular Features Of Progressive Ptmcmentioning

confidence: 90%

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Wang,

Ji,

Zhang

et al. 2024

International Journal of Surgery

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In recent decades, the prevalence of thyroid cancer has risen substantially, with papillary thyroid microcarcinoma (PTMC) constituting over 50% of cases. Although most PTMCs exhibit indolent growth and a favorable prognosis, some present an increased risk of recurrence and an unfavorable prognosis due to high-risk characteristics such as lymph node metastasis, extrathyroidal extension, and distant metastasis. The early identification of clinically progressing PTMC remains elusive. In this review, we summarize findings from PTMC progression-related literature, highlighting that factors such as larger tumor size, cervical lymph node metastasis, extrathyroidal extension, younger age, higher preoperative serum thyroid-stimulating hormone levels, family history, and obesity positively correlate with PTMC progression. The role of multifocality in promoting PTMC progression, however, remains contentious. Furthermore, recent studies have shed light on the impact of mutations, such as BRAF and TERT mutations, on PTMC progression. Researchers have identified several mRNAs, non-coding RNAs, and proteins associated with various features of PTMC progression. Some studies propose that peripheral and tumor tissue-infiltrating immune cells could serve as biomarkers for the clinical progression of PTMC. Collectively, these clinical and molecular features offer a rationale for the early detection and the development of precision theranostic strategies of clinically progressive PTMC.

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“…Li et al . 113 found that FN1 effectively discriminated between N1 and N0 PTMC patients. Similarly, Cao et al .…”

Section: Molecular Features Of Progressive Ptmcmentioning

confidence: 90%

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Wang,

Ji,

Zhang

et al. 2024

International Journal of Surgery

View full text Add to dashboard Cite

show abstract

“…This gene is also a cancer signature gene, and high expression of FN1 correlates with advanced pathological stage, T-stage, N-stage and M-stage, predicting poor prognosis in breast cancer patients, while silencing of FN1 impairs the proliferation and invasive ability of breast cancer cells, suggesting that FN1 may be a prognostic marker and therapeutic target for breast cancer [23]. FN1 has likewise been found to be a prognostic marker and therapeutic target for papillary thyroid microcarcinoma (PTMC) as a potential diagnostic biomarker [24]. In gastric cancer, high FN1 expression is associated with reduced overall survival (OS) [25].…”

Section: Discussionmentioning

confidence: 99%

Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway

Zhang

Chen

Liu

et al. 2023

Preprint

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Objective To investigate the effect of COVID-19 infection on pancreatic cancer . Methods Based on the mRNA-Seq data of COVID-19 patients and pancreatic cancer (PC) patients in the GEO database, we used support vector machine (SVM), LASSO-Cox regression analysis and random forest tree (RF) to screen the common signature genes of the two diseases and further investigate their effects and functional characteristics on PC, respectively. And the above procedures were performed in R software. Results The proteins COL10A1/FAP/FN1 were found to be common signature genes for COVID-19 and PC, were significantly up-regulated in both diseases, and showed good diagnostic efficacy for PC. The risk model based on COL10A1/FAP/FN1 showed good PC risk prediction ability and clinical application potential. Tumor typing based on COL10A1/FAP/FN1 expression levels effectively classified PC into different subtypes, and showed significant differences between the two subtypes in terms of survival prognosis, immune levels, immune checkpoint expression levels, mutation status of common tumor mutation sites, and drug sensitivity analysis. While pathway analysis also revealed that FN1 as an extracellular matrix component may be involved in the biological process of PC by regulating the PI3K-AKT signaling axis. Conclusion The upregulated expression of COL10A1/FAP/FN1, the characteristic genes of COVID-19, are potential diagnostic targets for PC, and the upregulated expression of FN1 may promotes the progression of PC by activating the PI3K-AKT signaling pathway. The COL10A1/FAP/FN1-based typing provides a new typing approach for PC, also provides a good reference and idea for the refinement of PC treatment and subsequent clinical research.

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“…Silencing of FN1 impairs the proliferation and invasive ability of breast cancer cells, suggesting that FN1 may serve as a prognostic marker and therapeutic target for breast cancer [ 24 ]. FN1 has also been identified as a prognostic marker and therapeutic target for papillary thyroid microcarcinoma (PTMC) and may have potential as a diagnostic biomarker [ 25 ]. In gastric cancer, high expression of FN1 is associated with reduced overall survival (OS) [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway

Zhang,

Chen,

Liu

et al. 2023

Discov Onc

View full text Add to dashboard Cite

Objective To investigate the effect of COVID-19 infection on pancreatic cancer. Methods Based on the mRNA-Seq data of COVID-19 patients and pancreatic cancer (PC) patients in the GEO database, we used a support vector machine (SVM), LASSO-Cox regression analysis and random forest tree (RF) to screen the common signature genes of the two diseases and further investigate their effects and functional characteristics on PC, respectively. The above procedures were performed in R software. Results The proteins COL10A1/FAP/FN1 were found to be common signature genes for COVID-19 and PC, were significantly up-regulated in both diseases and showed good diagnostic efficacy for PC. The risk model based on COL10A1/FAP/FN1 showed good PC risk prediction ability and clinical application potential. Tumor typing based on COL10A1/FAP/FN1 expression levels effectively classified PC into different subtypes and showed significant differences between the two subtypes in terms of survival prognosis, immune levels, immune checkpoint expression levels, mutation status of common tumor mutation sites, and drug sensitivity analysis. While pathway analysis also revealed that FN1 as an extracellular matrix component may be involved in the biological process of PC by regulating the PI3K-AKT signaling axis. Conclusion The upregulated expression of COL10A1/FAP/FN1, the characteristic genes of COVID-19, are potential diagnostic targets for PC, and the upregulated expression of FN1 may promote the progression of PC by activating the PI3K-AKT signaling pathway. The COL10A1/FAP/FN1-based typing provides a new typing approach for PC, and also provides a good reference and idea for the refinement of PC treatment and subsequent clinical research.

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Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC–MS/MS and machine learning

Cited by 9 publications

References 45 publications

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway

Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway

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