Objective:To investigate the causal effects of plasma lipidomics on pancreatitis using Mendelian ran-domization(MR)and evaluate the roles of intra-pancreatic fat deposition(IPFD)and gallstone disease in this relation-ship.Methods:A bidirectional MR analysis was conducted,with 179 plasma lipids as exposures and acute pancreati-tis(AP)and chronic pancreatitis(CP)as outcomes.Data were sourced from genome-wide association studies(GWAS),the UK Biobank,and the FinnGen project.Two-step Mendelian randomization(TSMR)and multivariable Mendelian ran-domization(MVMR)analyses were applied to assess the mediating roles of IPFD and gallstone disease in the associa-tion between plasma lipids and pancreatitis.Results:MR analysis identified two sterols negatively associated with AP(P＜0.05)and seven sterols negatively associated with CP(P＜0.05).One phospholipid showed a positive association with CP(P＜0.05).IPFD was positively associated with both AP and CP.Gallstone disease was confirmed as a risk fac-tor for AP.However,TSMR analysis indicated that neither IPFD nor gallstone disease mediated the relationship be-tween plasma lipids and pancreatitis.Conclusion:The causal relationship exists among plasma lipomics and AP/CP,also between IPFD,cholelithiasis and pancreatitis.These findings highlight novel risk factors and potential biomarkers to support early diagnosis and intervention for pancreatitis.

Objective:To investigate biomarkers that are significantly associated with the immune checkpoint(ICs)genes of colorectal cancer(CRC)and have a key impact on the prognosis of patients,and to search for related sensitive drugs by using bioinformatics methods.Methods:Genes with up-regulated expression in TCGA database and associated with poor prognosis of patients were screened,and molecules with high correlation with immune checkpoint were extracted to verify their impact on the prognosis of patients with colorectal cancer.Finally,their im-pact on immune cell infiltration and correlation were detected,and sensitive drugs that act on target genes were ana-lyzed and searched.Results:Colorectal cancer patients with up-regulated expression of tissue inhibitor of metallo-proteinase 1(TIMP1)had poor prognosis.Different TIMP1 expression levels showed significant differences in the infil-tration levels of various immune cells.Further drug sensitivity analysis predicted that bleomycin and middotolin could be highly sensitive to samples with high TIMP1 expression.Conclusion:TIMP1 is expected to be a new predictive biomarker to identify the benefits of cancer immunotherapy,and bleomycin and middotolin may be potential individualized treatment options for patients with high expression of TIMP1.

Objective:To investigate the causal effects of plasma lipidomics on pancreatitis using Mendelian ran-domization(MR)and evaluate the roles of intra-pancreatic fat deposition(IPFD)and gallstone disease in this relation-ship.Methods:A bidirectional MR analysis was conducted,with 179 plasma lipids as exposures and acute pancreati-tis(AP)and chronic pancreatitis(CP)as outcomes.Data were sourced from genome-wide association studies(GWAS),the UK Biobank,and the FinnGen project.Two-step Mendelian randomization(TSMR)and multivariable Mendelian ran-domization(MVMR)analyses were applied to assess the mediating roles of IPFD and gallstone disease in the associa-tion between plasma lipids and pancreatitis.Results:MR analysis identified two sterols negatively associated with AP(P＜0.05)and seven sterols negatively associated with CP(P＜0.05).One phospholipid showed a positive association with CP(P＜0.05).IPFD was positively associated with both AP and CP.Gallstone disease was confirmed as a risk fac-tor for AP.However,TSMR analysis indicated that neither IPFD nor gallstone disease mediated the relationship be-tween plasma lipids and pancreatitis.Conclusion:The causal relationship exists among plasma lipomics and AP/CP,also between IPFD,cholelithiasis and pancreatitis.These findings highlight novel risk factors and potential biomarkers to support early diagnosis and intervention for pancreatitis.

Objective:To investigate biomarkers that are significantly associated with the immune checkpoint(ICs)genes of colorectal cancer(CRC)and have a key impact on the prognosis of patients,and to search for related sensitive drugs by using bioinformatics methods.Methods:Genes with up-regulated expression in TCGA database and associated with poor prognosis of patients were screened,and molecules with high correlation with immune checkpoint were extracted to verify their impact on the prognosis of patients with colorectal cancer.Finally,their im-pact on immune cell infiltration and correlation were detected,and sensitive drugs that act on target genes were ana-lyzed and searched.Results:Colorectal cancer patients with up-regulated expression of tissue inhibitor of metallo-proteinase 1(TIMP1)had poor prognosis.Different TIMP1 expression levels showed significant differences in the infil-tration levels of various immune cells.Further drug sensitivity analysis predicted that bleomycin and middotolin could be highly sensitive to samples with high TIMP1 expression.Conclusion:TIMP1 is expected to be a new predictive biomarker to identify the benefits of cancer immunotherapy,and bleomycin and middotolin may be potential individualized treatment options for patients with high expression of TIMP1.

Objective:To investigate the relationship between the longitudinal trajectory of perioperative changes in TSH and recovery after microwave ablation of benign thyroid nodules.Methods:251 BTN patients admitted to our hospital from October 2021 to October 2024 were selected as the study subjects,and the group-based trajectory mod-eling(GBTM)model grouping principle was applied to determine the development trajectory of TSH levels.Multiple lin-ear regression was used to analyze the relationship between thyroid function and serum inflammatory factors before and after surgery in patients with different TSH level development trajectories;Cox regression was used to analyze the relationship between TSH level change trajectories and therapeutic efficacy and trend test was performed;binary log-binomial regression model was applied to calculate the relative risk(RR)of postoperative complication rates in different groups of patients.Results:In patients with BTN,four different trajectories of TSH level development were identified:low-stable(90 cases),low-growth(47 cases),medium-growth(63 cases),and high-growth(51 cases).There was a sta-tistically significant difference in surgical efficacy between the developmental trajectories of different TSH levels(P＜0.05),and the low-stable type had the highest apparent and overall efficacy rates,followed by the low-growth type.The postoperative and preoperative thyroid function indexes and serum inflammatory factors of patients with different TSH level development trajectories showed statistical differences(P＜0.05),the postoperative index levels of FT3 and FT4 were lower than preoperative,and the postoperative index levels of IL-8,hs-CRP,and TNF-α were higher than the preoperative ones,and the postoperative indexes of thyroid function(FT3,FT4)and serum inflammatory factors of the four groups of patients(IL-8,hs-CRP,TNF-α)showed statistically significant differences(P＜0.05).The results of multiple linear regression showed that TSH levels were negatively correlated(P＜0.05)with thyroid function indices(FT3,FT4)and positively correlated(P＜0.05)with serum inflammatory factors(IL-8,hs-CRP,TNF-α).The results of COX re-gression analysis showed that the difference in trend test was statistically significant(P＜0.001)among low-growth,medium-growth,and high-growth types,using low-stable type as a reference.The difference in the total postopera-tive complication rate among the four groups was statistically significant(P＜0.05),and the risk of total postoperative complications was elevated in patients with low-growth,medium-growth,and high-growth types compared with low-stable types(RR>1,P＜0.05).Conclusion:TSH levels were closely associated with recovery after microwave ablation of benign thyroid nodules,TSH levels were negatively correlated with FT3 and FT4,and positively correlated with IL-8,hs-CRP,and TNF-α.The low-stabilized type had the highest apparent and total efficiency,followed by the low-growth type.

Objective:To analyze the clinical and ultrasonographic characteristics of papillary thyroid carcinoma(PTC)and explore their correlation with cervical lymph node metastasis(CLNM),thereby constructing a nomogram pre-diction model for assessing the risk of CLNM in PTC.Methods:A total of 553 patients(corresponding to 553 nod-ules)with papillary thyroid carcinoma(PTC),confirmed by postoperative pathology,who underwent ultrasonography and had complete clinical data at the Second Hospital of Shandong University between December 2019 and December 2022,were included.228 patients(228 nodules)hadcervical lymph node metastasis,and 325 patients(325 nodules)were without cervical lymph node metastasis.All patients were categorized into metastasis and non-metastasis groups based on the presence or absence of cervical lymph node metastasis.These groups were then randomly di-vided into training and validation sets in a 7:3 ratio.Differences in clinical and ultrasonographic characteristics between the two groups were compared,and a nomogram was constructed.Results:Univariate analysis revealed statistically significant differences between the metastasis group and the non-metastasis group in terms of age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,capsular contact,and blood flow(P<0.05).Logistic regression analysis in the training set indicated that age,presence of Hashimoto's thyroiditis,multifocality,taller-than-wide shape,calcification,and blood flow were associated with lymph node metastasis in papillary thyroid carcinoma(PTC)(P<0.05).These indicators were incorporated into a nomogram model,which demonstrated high predictive performance,good calibration,and significant clinical utility in both the training and validation sets.Conclu-sion:The nomogram prediction model,constructed based on clinical and ultrasonographic features,effectively predicts the risk of cervical lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC).Patients who were older,had concomitant Hashimoto's thyroiditis,or exhibited a nodule aspect ratio≥1 were less likely to have concurrent CLNM.Conversely,patients presenting with multiple nodules,nodules with microcalcifications,or nodules demonstrating central or rich/peripheral vascularity were more likely to have concurrent CLNM.

Objective:To investigate the effect of KRAS,NRAS and BRAF gene mutations on the efficacy of pre-operative short-course radiotherapy combined with chemotherapy and postoperative liver metastasis in patients with stage Ⅱ～Ⅲ mid-low rectal cancer.Methods:The clinical data of 149 patients with stage Ⅱ～Ⅲ low rectal cancer admitted to Dongnan Hospital of Xiamen University from January 2017 to June 2020 were retrospectively analyzed.All patients received neoadjuvant therapy with preoperative short-course radiotherapy combined with chemotherapy and radical surgery,and were followed up until June 30,2023.The mutations of KRAS,NRAS and BRAF genes were de-tected by pathological tissue before surgery.The effect of neoadjuvant therapy was evaluated according to tumor re-gression grade(TRG).The risk factors of postoperative liver metastasis were analyzed by Logistic multivariate analysis.Results:There were 44 cases of KRAS,10 cases of NRAS and 12 cases of BRAF gene mutation in 149 patients with stage Ⅱ～Ⅲ low rectal cancer,and the mutation rates were 29.53%,6.71%and 8.05%.The incidence of positive vas-cular invasion in patients with KRAS gene mutation was higher than negative(P＜0.05).In NRAS mutation patients,the incidence of positive lymph node metastasis was higher than negative(P＜0.05),and the incidence of maximum tumor diameter≥5 cm was higher than that of maximum tumor diameter＜5 cm(P＜0.05).The clinical stage of BRAF muta-tion was higher in stage Ⅲ than in stage Ⅱ(P＜0.05),and the incidence of positive lymph node metastasis was higher than negative(P＜0.05).During the follow-up period,liver metastasis occurred in 42 patients,and the liver metastasis rate was 28.18%.The KRAS,NRAS and BRAF gene mutations in the effective group were 25.81%,2.15%and 3.23%,lower than those in the ineffective group(35.71%,14.29%and 17.07%,P＜0.05).Multiple factors found clinical stage Ⅲ(OR=10.620,95%CI:2.645～22.575),lymph node metastasis was positive(OR=8.774,95%CI:1.878～19.645),neoadju-vant therapy failed(OR=3.373,95%CI:1.014～11.218),KRAS gene mutation(OR=6.245,95%CI:1.876～20.789),BRAF gene mutation(OR=9.497,95%CI:1.754～19.335)were independent risk factors for postoperative liver metastasis of stage Ⅱ～Ⅲ mid-low rectal cancer.Conclusion:Mutations in the KRAS and BRAF genes of middle are associated with poorer efficacy of neoadjuvant therapy in patients with stage Ⅱ～Ⅲ mid-low rectal cancer and are also indepen-dent risk factors for postoperative liver metastasis.

Inflammatory breast cancer(IBC)is a rare but highly aggressive subtype of breast cancer characterized by rapid clinical progression and poor prognosis.Although it accounts for only 2%-4%of all breast cancer cases,it is responsible for 8%-10%of breast cancer-related mortality.The etiology of IBC is multifactorial,involving genetic,hormonal,environmental,and socioeconomic factors.Pathologically,IBC is marked by the presence of dermal lymphatic tumor emboli,and molecular subtypes are predominantly HER2-positive and triple-negative,indicating high tumor invasiveness.Diagnosis relies on characteristic clinical manifestations and histopathological confirmation,while imaging techniques such as MRI and PET/CT play important roles in evaluating disease extent and metastasis.Given that IBC is often diagnosed at a locally advanced or metastatic stage,there is currently no specific treatment protocol.Instead,management generally follows the treatment paradigm of non-IBC,emphasizing systemic therapy within a multidisciplinary framework.HER2-positive IBC benefits from chemotherapy combined with dual-targeted anti-HER2 therapy;triple-negative IBC may respond to immune checkpoint inhibitors;and CDK4/6 inhibitors show potential efficacy in hormone receptor-positive subtypes.Despite advancements,the prognosis remains poor,with a high risk of early recurrence and distant metastasis.Prognostic factors include lymph node involvement,molecular subtype,and response to neoadjuvant therapy.As research into the tumor microenvironment and molecular mechanisms deepens,targeted and individualized therapies hold promise for improving outcomes.This review summarizes the epidemiology,pathology,diagnostic criteria,treatment strategies,and prognostic factors of IBC,aiming to inform clinical practice and future research.

The incidence of thyroid cancer has been increasing,and early diagnosis and treatment are crucial for improving patient prognosis.With the advancement of artificial intelligence(AI)technology,significant progress has been made in its application in the diagnosis and treatment of thyroid cancer.AI technology has notably enhanced the diagnostic accuracy of thyroid cancer.By optimizing imaging examinations such as ultrasound and CT scans,it can more precisely identify malignant features of thyroid nodules.In fine-needle aspiration biopsy,the integration of AI with genetic testing technologies has improved both the accuracy and efficiency of diagnosis.In terms of treatment,AI assists in intraoperative functional preservation,reducing the risk of surgical trauma.For instance,it can accurately identify the locations of the recurrent laryngeal nerve and parathyroid glands.Additionally,AI is capable of predicting the efficacy of 131I treatment and the risk of complications,thereby guiding postoperative follow-up and management.The core strength of AI technology lies in its powerful data processing and analytical capabilities,enabling it to uncover latent patterns within data and provide a scientific basis for treatment decision-making.Looking ahead,with continuous technological advancements,AI is expected to propel the diagnosis and treatment of thyroid cancer towards greater intelligence and precision.However,challenges such as data privacy and algorithm transparency need to be addressed.This article provides a review of the research progress of AI technology in the fields of diagnosis,treatment,and prognosis prediction of thyroid cancer,explores the current strengths and weaknesses of AI technology,and looks forward to its future development directions while acknowledging challenges like data privacy and algorithm transparency.

Background and Aims:Breast-conserving surgery,which balances tumor excision with preservation of breast tissue,has become a widely adopted surgical approach for breast cancer.However,postoperative tumor recurrence remains a major factor affecting patient prognosis.Accurate risk prediction tools are urgently needed to guide personalized treatment strategies.This study aimed to develop a risk prediction model for tumor recurrence after BCS based on admission clinical data and to evaluate its predictive performance to provide a scientific and practical tool for clinical decision-making.Methods:A total of 224 breast cancer patients who underwent breast-conserving surgery between May 2017 and May 2019 were enrolled.Postoperative recurrence was recorded during follow-up.Multivariate Logistic regression analysis was used to identify independent risk factors for recurrence and to construct a risk prediction model.The model's discriminative ability was assessed using the receiver operating characteristic(ROC)curve,and its calibration was evaluated using a calibration curve.Results:208 patients completed follow-up,ranging from 32 to 84 months,with a mean duration of(58.41±7.33)months.The recurrence rate was 17.79%.Multivariate Logistic regression analysis revealed that TNM stage Ⅲ(OR=2.029),tumor diameter≥4 cm(OR=1.782),≥4 lymph node metastases(OR=1.958),lymphovascular invasion(OR=1.984),and HER2 positivity(OR=1.774)were independent risk factors for recurrence(all P<0.05).The Logistic regression model was established as follows:Y=-12.788+0.707X?+0.578X?+0.672X?+0.685X?+0.573X?.The model yielded an area under the ROC curve(AUC)of 0.934(95%CI=0.891-0.963),with a sensitivity of 86.49%and specificity of 96.49%.The calibration curve demonstrated good agreement between predicted and observed outcomes(χ2=0.501,P=0.392).Conclusion:TNM stage Ⅲ,tumor diameter≥4 cm,≥4 lymph node metastases,lymphovascular invasion,and HER2 positivity are independent risk factors for tumor recurrence after breast-conserving surgery.The risk prediction model based on these factors demonstrates favorable discrimination and calibration,offering valuable guidance for postoperative risk assessment and clinical intervention.