BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

BACKGROUND: Lung cancer currently ranks first globally in both incidence and mortality. Pemetrexed (PMX) serves as a first-line treatment for lung adenocarcinoma (LUAD), but the patients often develop drug resistance during therapy. Milk exosome (mEXO) have the advantages of low immunogenicity, high tissue affinity, and low cost, and mEXO itself has anti-tumor effects. Hyaluronan (HA) naturally bind to CD44, a receptor which is highly expressed in LUAD tissues. This study aims to construct hyaluronan-modified milk exosome (HA-mEXO) and preliminarily investigate their molecular mechanisms for reversing PMX resistance through cellular experiments. METHODS: Exosomes were extracted from milk using high-speed centrifugation, and HA-mEXO was constructed. PMX-resistant A549 and PC-9 cell lines were treated with mEXO and HA-mEXO, respectively. CCK-8 assays, colony formation assays, Transwell assays, and flow cytometry were performed to evaluate proliferation, colony formation, migration, invasion, and apoptosis phenotypes in the treated resistant cell lines. Finally, transcriptomic sequencing, analysis, and cellular functional recovery experiments were conducted to investigate the mechanism by which HA-mEXO reverses PMX resistance in LUAD cells. RESULTS: The expression of CD44 in A549 and PC-9 LUAD drug-resistant cell lines was significantly higher than that in parental cells, and the uptake rate of HA-mEXO by drug-resistant cell lines was significantly higher than that of mEXO. Compared to the mEXO group, HA-mEXO-treated A549 and PC-9 resistant cells exhibited significantly reduced half maximal inhibitory concentration (IC50) values for PMX, markedly diminished clonogenic, migratory, and invasive capabilities, and a significantly increased proportion of apoptotic cells. Western blot analysis revealed that, compared to parental cells, A549 and PC-9 drug-resistant cells exhibited downregulated ZNF516 expression and upregulated ABCC5 expression. Immunofluorescence analysis revealed that HA-mEXO treatment downregulated ABCC5 expression in A549 and PC-9 drug-resistant cells compared to the PBS group, whereas co-treatment with HA-mEXO and ZNF516 knockdown showed no significant change in ABCC5 expression. CONCLUSIONS HA-mEXO carrying ZNF516 suppress ABCC5 expression, thereby enhancing the sensitivity of A549 and PC-9 LAUD drug-resistant cells to PMX.
Humans ; Hyaluronic Acid/chemistry* ; Drug Resistance, Neoplasm/drug effects* ; Exosomes/chemistry* ; Adenocarcinoma of Lung/genetics* ; Pemetrexed/pharmacology* ; Animals ; Lung Neoplasms/pathology* ; Milk/chemistry* ; Cell Proliferation/drug effects* ; Apoptosis/drug effects* ; Cell Line, Tumor ; Hyaluronan Receptors/metabolism*

OBJECTIVE: To explore the potential role of mRNA m7G modification in the pathogenesis of human adenocarcinoma of esophagogastric junction (AEG). METHODS: Pathological tissue specimens from four AEG patients who underwent surgical treatment at the People's Hospital Affiliated to Jiangsu University between 2018 and 2019 were selected. Tumor tissues and adjacent normal tissues were collected from these patients. RNA was extracted from both tissue types and subjected to m7G methylated RNA immunoprecipitation sequencing (m7G-MeRIP-seq) to analyze the patterns of m7G modification, the characteristics of differential m7G modification sites, the differentially expressed mRNA, and the correlation between m7G modification and mRNA expression levels. Differential m7G-modified genes (MSH6, BRCA1, and SOX9) were further validated using methylated RNA immunoprecipitation quantitative PCR (MeRIP-qPCR), while the expression of METTL1 and WDR4 genes was examined by real-time quantitative PCR (RT-qPCR). This study was approved by the Medical Ethics Committee of the People's Hospital Affiliated to Jiangsu University (Ethics No. 20150083). RESULTS: m7G-MeRIP-seq analysis revealed that m7G modifications in both AEG and adjacent normal tissues were predominantly located in the GC-rich region surrounding the internal start codon of mRNA. Differential m7G modification sites between the two groups were closely associated with cancer-related genes. mRNA library analysis showed that differentially expressed mRNA were predominantly upregulated in AEG tissues and downregulated in adjacent normal tissues. Cross-analysis indicated that genes with hypermethylation tended to exhibit upregulated expression, while genes with hypomethylation were typically downregulated in AEG tissues. MeRIP-qPCR validation confirmed that the mRNA expression of MSH6, BRCA1, and SOX9 were significantly upregulated in AEG tissues compared to adjacent normal tissues (AEG vs. normal, P < 0.05). RT-qPCR results demonstrated that the mRNA expression levels of METTL1 and WDR4 were also upregulated in AEG tissues (AEG vs. normal, P < 0.000 5). CONCLUSION These findings suggest that mRNA m7G modification plays a significant role in the development of AEG. Furthermore, proteins as METTL1 and WDR4 may facilitate AEG progression by regulating mRNA m7G modification. These results provide valuable insights into the molecular mechanisms underlying AEG and may inform future therapeutic strategies for this malignancy.
Humans ; RNA, Messenger/metabolism* ; Adenocarcinoma/pathology* ; Esophagogastric Junction/metabolism* ; Esophageal Neoplasms/metabolism* ; Gene Expression Regulation, Neoplastic ; Female ; Male ; Middle Aged ; DNA Methylation ; Methyltransferases/metabolism* ; Stomach Neoplasms/genetics*

BACKGROUND: Lung cancer prevails and induces high mortality around the world. This study provided real-world information on the evolution of clinicopathological profiles and survival outcomes of lung cancer, and provided survival information within stage I subtypes. METHODS: Patients pathologically confirmed with lung cancer between January 2009 and December 2018 were identified with complete clinicopathological information, molecular testing results, and follow-up data. Shifts in clinical characteristics were evaluated using χ2 tests. Overall survival (OS) was calculated through the Kaplan-Meier method. RESULTS: A total of 26,226 eligible lung cancer patients were included, among whom 62.55% were male and 52.89% were smokers. Non-smokers and elderly patients took increasingly larger proportions in the whole patient population. The proportion of adenocarcinoma increased from 51.63% to 71.80%, while that of squamous carcinoma decreased from 28.43% to 17.60%. Gene mutations including EGFR (52.14%), KRAS (12.14%), and ALK (8.12%) were observed. Female, younger, non-smoking, adenocarcinoma patients and those with mutated EGFR had better survival prognoses. Importantly, this study validated that early detection of early-stage lung cancer patients had contributed to pronounced survival benefits during the decade. Patients with stage I lung cancer, accounted for an increasingly considerable proportion, increasing from 15.28% to 40.25%, coinciding with the surgery rate increasing from 38.14% to 54.25%. Overall, period survival analyses found that 42.69% of patients survived 5 years, and stage I patients had a 5-year OS of 84.20%. Compared with that in 2009-2013, the prognosis of stage I patients in 2014-2018 was dramatically better, with 5-year OS increasing from 73.26% to 87.68%. Regarding the specific survival benefits among stage I patients, the 5-year survival rates were 95.28%, 93.25%, 82.08%, and 74.50% for stage IA1, IA2, IA3, and IB, respectively, far more promising than previous reports. CONCLUSIONS Crucial clinical and pathological changes have been observed in the past decade. Notably, the increased incidence of stage I lung cancer coincided with an improved prognosis, indicating actual benefits of early detection and management of lung cancer.
Humans ; Male ; Female ; Aged ; Lung Neoplasms/genetics* ; Adenocarcinoma/pathology* ; Prognosis ; Survival Rate ; Mutation ; ErbB Receptors/genetics* ; Neoplasm Staging ; Retrospective Studies

We explored clinicopathological features and treatment strategies for thoracic SMARCA4-deficient undifferentiated tumor (SMARCA4-UT). Thoracic SMARCA4-UT is a new entity recently acknowledged in the 2021 edition of World Health Organization Classification of Thoracic Tumors, and doctors are relatively unfamiliar with its diagnosis, treatment, and prognosis. Taking a case of SMARCA4-UT treated in Peking University First Hospital as an example, this multi-disciplinary discussion covered several hot issues on diagnosing and treating thoracic SMARCA4-UT, including histological features, immu- nohistochemical and molecular phenotype, immune checkpoint inhibitor (ICI) therapy, and pathological assessment of neoadjuvant therapy response. The patient was an older man with a long history of smoking and was admitted due to a rapidly progressing solid tumor in the lower lobe of the right lung. Histologically, tumor cells were epithelioid, undifferentiated, diffusely positive for CD34, and partially positive for SALL4.The expression of BRG1 protein encoded by SMARCA4 gene was lost in all of tumor cells, and next-generation sequencing(NGS)confirmed SMARCA4 gene mutation (c.2196T>G, p.Y732Ter). The pathological diagnosis reached as thoracic SMARCA4-UT, and the preoperative TNM stage was T1N2M0 (ⅢA). Tumor proportion score (TPS) detected by immunohistochemistry of programmed cell death 1-ligand 1 (PD-L1, clone SP263) was 2%. Tumor mutation burden (TMB) detected by NGS of 1 021 genes was 16. 3/Mb. Microsatellite detection showed the tumor was microsatellite stable (MSS). Neo-adjuvant therapy was implemented with the combined regimen of chemotherapy and ICI. Right lower lobectomy was performed through thoracoscopy after the two weeks' neoadjuvant. The pathologic assessment of lung tumor specimens after neoadjuvant therapy revealed a complete pathological response (CPR). The post-neoadjuvant tumor TNM stage was ypT0N0M0. Then, five cycles of adjuvant therapy were completed. Until October 2022, neither tumor recurrence nor metastasis was detected, and minimal residual disease (MRD) detection was negative. At present, it is believed that if BRG1 immunohistochemical staining is negative, regardless of whether SMARCA4 gene mutation is detected, it should be classified as SMARCA4-deficient tumors. SMARCA4-deficient tumors include a variety of carcinomas and sarcomas. The essential criteria for diagnosing SMARCA4-UT includes loss of BRG1 expression, speci-fic histological morphology, and exclude other common thoracic malignant tumors with SMARCA4-deficiency, such as squamous cell carcinoma, adenocarcinoma and large cell carcinoma. SMARCA4-UT is a very aggressive malignant tumor with a poor prognosis. It has almost no targeted therapy mutations, and little response to chemotherapy, but ICI is currently the only effective drug. The successful diagnosis and treatment for this case of SMARCA4-UT should enlighten significance for various kinds of SMARCA4-deficient tumors.
Humans ; Immune Checkpoint Inhibitors ; Neoplasm Recurrence, Local ; Lung Neoplasms/genetics* ; Thoracic Neoplasms/pathology* ; Adenocarcinoma ; DNA Helicases ; Nuclear Proteins ; Transcription Factors

OBJECTIVE: To investigate the effects of expression levels of S100 calcium-binding protein A10 (S100A10) in lung adenocarcinoma (LUAD) on patient prognosis and the regulatory role of S100A10 in lung cancer cell proliferation and metastasis. METHODS: Immunohistochemistry was used to detect the expression levels of S100A10 in LUAD and adjacent tissues, and the relationship between S100A10 expression and clinicopathological parameters and prognosis of the patients was statistically analyzed. The lung adenocarcinoma expression dataset in TCGA database was analyzed using gene enrichment analysis (GSEA) to predict the possible regulatory pathways of S100A10 in the development of lung adenocarcinoma. Lactate production and glucose consumption of lung cancer cells with S100A10 knockdown or overexpression were analyzed to assess the level of glycolysis. Western blotting, CCK-8 assay, EdU-594 assay, and Transwell assays were performed to determine the expression level of S100A10 protein, proliferation and invasion ability of lung cancer cells. A549 cells with S100A10 knockdown and H1299 cells with S100A10 overexpression were injected subcutaneously in nude mice, and tumor growth was observed. RESULTS: The expression level of S100A10 was significantly upregulated in LUAD tissues as compared with the adjacent tissues, and an elevated S100A10 expression level was associated with lymph node metastasis, advanced tumor stage and distant organ metastasis (P < 0.05), but not with tumor differentiation or the patients' age or gender (P > 0.05). Survival analysis showed that elevated S100A10 expressions in the tumor tissue was associated with a poor outcome of the patients (P < 0.001). In the lung cancer cells, S100A10 overexpression significantly promoted cell proliferation and invasion in vitro (P < 0.001). GSEA showed that the gene sets of glucose metabolism, glycolysis and mTOR signaling pathway were significantly enriched in high expressions of S100A10. In the tumor-bearing nude mice, S100A10 overexpression significantly promoted tumor growth, while S100A10 knockdown obviously suppressed tumor cell proliferation (P < 0.001). CONCLUSION S100A10 overexpression promotes glycolysis by activating the Akt-mTOR signaling pathway to promote proliferation and invasion of lung adenocarcinoma cells.
Animals ; Mice ; Adenocarcinoma of Lung/pathology* ; Cell Proliferation ; Lung Neoplasms/pathology* ; Mice, Nude ; Proto-Oncogene Proteins c-akt ; Signal Transduction ; TOR Serine-Threonine Kinases ; Humans ; S100 Proteins/genetics*

Objective: To investigate the mechanism of S100A7 inducing the migration and invasion in cervical cancers. Methods: Tissue samples of 5 cases of cervical squamous cell carcinoma and 3 cases of adenocarcinoma were collected from May 2007 to December 2007 in the Department of Gynecology of the Affiliated Hospital of Qingdao University. Immunohistochemistry was performed to evaluate the expression of S100A7 in cervical carcinoma tissues. S100A7-overexpressing HeLa and C33A cells were established with lentiviral systems as the experimental group. Immunofluorescence assay was performed to observe the cell morphology. Transwell assay was taken to detect the effect of S100A7-overexpression on the migration and invasion of cervical cancer cells. Reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR) was used to examine the mRNA expressions of E-cadherin, N-cadherin, vimentin and fibronectin. The expression of extracellular S100A7 in conditioned medium of cervical cancer cell was detected by western blot. Conditioned medium was added into Transwell lower compartment to detect cell motility. Exosomes were isolated and extracted from the culture supernatant of cervical cancer cell, the expressions of S100A7, CD81 and TSG101 were detected by western blot. Transwell assay was taken to detect the effect of exosomes on the migration and invasion of cervical cancer cells. Results: S100A7 expression was positively expressed in cervical squamous carcinoma and negative expression in adenocarcinoma. Stable S100A7-overexpressing HeLa and C33A cells were successfully constructed. C33A cells in the experimental group were spindle shaped while those in the control group tended to be polygonal epithelioid cells. The number of S100A7-overexpressed HeLa cells passing through the Transwell membrane assay was increased significantly in migration and invasion assay (152.00±39.22 vs 105.13±15.75, P<0.05; 115.38±34.57 vs 79.50±13.68, P<0.05). RT-qPCR indicated that the mRNA expressions of E-cadherin in S100A7-overexpressed HeLa and C33A cells decreased (P<0.05) while the mRNA expressions of N-cadherin and fibronectin in HeLa cells and fibronectin in C33A cells increased (P<0.05). Western blot showed that extracellular S100A7 was detected in culture supernatant of cervical cancer cells. HeLa cells of the experimental group passing through transwell membrane in migration and invasion assays were increased significantly (192.60±24.41 vs 98.80±47.24, P<0.05; 105.40±27.38 vs 84.50±13.51, P<0.05) when the conditional medium was added into the lower compartment of Transwell. Exosomes from C33A cell culture supernatant were extracted successfully, and S100A7 expression was positive. The number of transmembrane C33A cells incubated with exosomes extracted from cells of the experimental group was increased significantly (251.00±49.82 vs 143.00±30.85, P<0.05; 524.60±52.74 vs 389.00±63.23, P<0.05). Conclusion: S100A7 may promote the migration and invasion of cervical cancer cells by epithelial-mesenchymal transition and exosome secretion.
Female ; Humans ; Uterine Cervical Neoplasms/pathology* ; HeLa Cells ; Fibronectins/metabolism* ; Culture Media, Conditioned ; Carcinoma, Squamous Cell/metabolism* ; Adenocarcinoma ; Cadherins/metabolism* ; RNA, Messenger/metabolism* ; Cell Movement ; Epithelial-Mesenchymal Transition/genetics* ; Cell Line, Tumor ; Cell Proliferation ; S100 Calcium Binding Protein A7/metabolism*

Objective: To study the diagnostic value of different detection markers in histological categories of endocervical adenocarcinoma (ECA), and their assessment of patient prognosis. Methods: A retrospective study of 54 patients with ECA in the Cancer Hospital, Chinese Academy of Medical Sciences from 2005-2010 were performed. The cases of ECA were classified into two categories, namely human papillomavirus-associated adenocarcinoma (HPVA) and non-human papillomavirus-associated adenocarcinoma (NHPVA), based on the 2018 international endocervical adenocarcinoma criteria and classification (IECC). To detect HR-HPV DNA and HR-HPV E6/E7 mRNA in all patients, we used whole tissue section PCR (WTS-PCR) and HPV E6/E7 mRNA in situ hybridization (ISH) techniques, respectively. Additionally, we performed Laser microdissection PCR (LCM-PCR) on 15 randomly selected HR-HPV DNA-positive cases to confirm the accuracy of the above two assays in identifying ECA lesions. Receiver operating characteristic (ROC) curves were used to analyze the efficacy of markers to identify HPVA and NHPVA. Univariate and multifactorial Cox proportional risk model regression analyses were performed for factors influencing ECA patients' prognoses. Results: Of the 54 patients with ECA, 30 were HPVA and 24 were NHPVA. A total of 96.7% (29/30) of HPVA patients were positive for HR-HPV DNA and 63.3% (19/30) for HR-HPV E6/E7 mRNA, and 33.3% (8/24) of NHPVA patients were positive for HR-HPV DNA and HR-HPV E6/E7 mRNA was not detected (0/24), and the differences were statistically significant (P<0.001). LCM-PCR showed that five patients were positive for HR-HPV DNA in the area of glandular epithelial lesions and others were negative, which was in good agreement with the E6/E7 mRNA ISH assay (Kappa=0.842, P=0.001). Analysis of the ROC results showed that the AUC of HR-HPV DNA, HR-HPV E6/E7 mRNA, and p16 to identify HPVA and NHPVA were 0.817, 0.817, and 0.692, respectively, with sensitivities of 96.7%, 63.3%, and 80.0% and specificities of 66.7%, 100.0%, and 58.3%, respectively. HR-HPV DNA identified HPVA and NHPVA with higher AUC than p16 (P=0.044). The difference in survival rates between HR-HPV DNA (WTS-PCR assay) positive and negative patients was not statistically significant (P=0.156), while the difference in survival rates between HR-HPV E6/E7 mRNA positive and negative patients, and p16 positive and negative patients were statistically significant (both P<0.05). Multifactorial Cox regression analysis showed that International Federation of Obstetrics and Gynecology (FIGO) staging (HR=19.875, 95% CI: 1.526-258.833) and parametrial involvement (HR=14.032, 95% CI: 1.281-153.761) were independent factors influencing the prognosis of patients with ECA. Conclusions: HR-HPV E6/E7 mRNA is more reflective of HPV infection in ECA tissue. The efficacy of HR-HPV E6/E7 mRNA and HR-HPV DNA (WTS-PCR assay) in identifying HPVA and NHPVA is similar, with higher sensitivity of HR-HPV DNA and higher specificity of HR-HPV E6/E7 mRNA. HR-HPV DNA is more effective than p16 in identifying HPVA and NHPVA. HPV E6/E7 mRNA and p16 positive ECA patients have better survival rates than negative.
Female ; Humans ; Papillomavirus Infections/diagnosis* ; Retrospective Studies ; Uterine Cervical Neoplasms/pathology* ; Prognosis ; Oncogene Proteins, Viral/genetics* ; Human Papillomavirus Viruses ; Adenocarcinoma/pathology* ; RNA, Messenger/genetics* ; Papillomaviridae/genetics* ; RNA, Viral/genetics*

Objective To explore the diagnostic efficacy of American Thyroid Association(ATA)guidelines,American College of Radiology Thyroid Imaging Report and Data System(ACR-TIRADS),and Chinese Thyroid Imaging Reporting and Data System(C-TIRADS)alone and combined with BRAF^V600E mutation in atypia of undetermined significance/follicular lesion of undetermined significance(AUS/FLUS).Methods A total of 138 patients who underwent ultrasound-guided fine needle aspiration(FNA)in the Chinese PLA General Hospital from January 2020 to May 2023 were selected.The clinicopathological and ultrasound characteristics were retrospectively analyzed for each nodule.Each nodule underwent preoperative BRAF^V600E mutation testing and was diagnosed according to the ATA guidelines,ACR-TIRADS,and C-TIRADS.The diagnostic efficacy of ATA guidelines,ACR-TIRADS,and C-TIRADS alone and combined with BRAF^V600E mutation was assessed based on the results of histopathological diagnosis.Results The 138 AUS/FLUS thyroid nodules included 45(32.6%)benign ones and 93(67.4%)malignant ones.The patient age(t=1.444,P=0.151),gender(χ²=0.259,P=0.611),and location of nodules(χ²=2.055,P=0.358)had no statistical significance for the differentiation between benign and malignant nodules,while nodule size(Z=2.500,P=0.012),echo(χ²=14.693,P<0.001),composition(χ²=17.075,P<0.001),aspect ratio ≥1(χ²=9.477,P=0.002),and microcalcification(χ²=6.892,P=0.009)were of significance for the differentiation.When applied alone,BRAF^V600E mutation showed high specificity(95.56%)and positive predictive value(95.65%).Among the three ultrasound grading systems,ACR-TIRADS had the highest sensitivity(χ²=37.923,P<0.001;χ²=40.462,P<0.001)and accuracy(χ²=81.595,P<0.001;χ²=76.912,P<0.001),while C-TIRADS had the highest specificity(χ²=11.746,P<0.001;χ²=21.235,P<0.001).However,the three systems showed no statistically significant difference in the diagnostic efficiency when applied alone(Z=1.177,P=0.239;Z=0.213,P=0.831;Z=1.016,P=0.310).The combination of BRAF^V600E mutation with ACR-TIRADS or C-TIRADS improved the diagnostic efficacy of BRAF^V600E mutation in distinguishing the benign and malignant AUS/FLUS nodules(Z=2.107,P=0.035;Z=2.752,P=0.006).The combination of ATA guidelines with BRAF^V600E mutation increased the diagnostic accuracy of BRAF^V600E mutation(χ²=20.679,P<0.001),while it had no statistically significant difference in distinguishing the benign and malignant AUS/FLUS nodules(Z=1.321,P=0.186).The combination of ATA guidelines,ACR-TIRADS,or C-TIRADS with BRAF^V600E mutation improved the diagnostic efficacy of ultrasound grading systems for AUS/FLUS nodules(Z=2.770,P=0.006;Z=2.770,P=0.006;Z=2.890,P=0.004).Specifically,ACR-TIRADS combined with BRAF^V600E mutation showed the highest sensitivity(χ²=4.712,P=0.030;χ²=4.712,P=0.030),while C-TIRADS combined with BRAF^V600E mutation showed the highest accuracy(χ²=77.627,P<0.001;χ²=85.827,P<0.001).However,there were no statistically significant differences in diagnostic performance between the combinations(Z=1.276,P=0.202;Z=0.808,P=0.419;Z=1.615,P=0.106).Conclusion ATA guidelines,ACR-TIRADS,and C-TIRADS combined with BRAF^V600E mutation can improve the diagnostic efficacy of BRAF^V600E mutation or ultrasound grading system alone in AUS/FLUS nodules,which can facilitate the further management and treatment of such patients.
Humans ; United States ; Infant ; Thyroid Neoplasms/genetics* ; Proto-Oncogene Proteins B-raf/genetics* ; Adenocarcinoma, Follicular/pathology* ; Retrospective Studies ; Data Systems ; Thyroid Nodule/genetics* ; Ultrasonography/methods* ; Mutation ; China ; Radiology

Medical studies have found that tumor mutation burden (TMB) is positively correlated with the efficacy of immunotherapy for non-small cell lung cancer (NSCLC), and TMB value can be used to predict the efficacy of targeted therapy and chemotherapy. However, the calculation of TMB value mainly depends on the whole exon sequencing (WES) technology, which usually costs too much time and expenses. To deal with above problem, this paper studies the correlation between TMB and slice images by taking advantage of digital pathological slices commonly used in clinic and then predicts the patient TMB level accordingly. This paper proposes a deep learning model (RCA-MSAG) based on residual coordinate attention (RCA) structure and combined with multi-scale attention guidance (MSAG) module. The model takes ResNet-50 as the basic model and integrates coordinate attention (CA) into bottleneck module to capture the direction-aware and position-sensitive information, which makes the model able to locate and identify the interesting positions more accurately. And then, MSAG module is embedded into the network, which makes the model able to extract the deep features of lung cancer pathological sections and the interactive information between channels. The cancer genome map (TCGA) open dataset is adopted in the experiment, which consists of 200 pathological sections of lung adenocarcinoma, including 80 data samples with high TMB value, 77 data samples with medium TMB value and 43 data samples with low TMB value. Experimental results demonstrate that the accuracy, precision, recall and F1 score of the proposed model are 96.2%, 96.4%, 96.2% and 96.3%, respectively, which are superior to the existing mainstream deep learning models. The model proposed in this paper can promote clinical auxiliary diagnosis and has certain theoretical guiding significance for TMB prediction.
Humans ; Lung Neoplasms/pathology* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Mutation ; Adenocarcinoma of Lung/genetics* ; Biomarkers, Tumor/genetics*