Can magnetic resonance imaging distinguish clinical stages of frozen shoulder? A state-of-the-art review.

Background: Frozen shoulder (FS) is a common disorder causing shoulder pain and limited motion. Magnetic resonance imaging (MRI) is expected to help diagnose FS and realize the disease stage if stage-specific features are present. We aimed to survey stage-related MRI findings of FS in the literature. Methods: MEDLINE, SCOPUS, and Google Scholar databases were searched with search terms "frozen shoulder" or "adhesive capsulitis" combined with "magnetic resonance imaging." Studies that discussed MRI findings in relation to FS stages were retrieved. The course of FS was divided into stages 1 to 4 according to Hannafin and Chiaia. Results: Two of the noncontrast-enhanced MRI findings were stage-related. T2 signal hyperintensity of the joint capsule was more frequent in stages 1 and 2. The axillary capsule thickness was greater in stages 1 and 2. However, these findings were also seen in the later stages to a lesser degree. Effusion around the long head of biceps, subcoracoid fat obliteration, and coracohumeral ligament thickening were common in FS but their relation to the stages was not evident. Signal enhancement on contrast-enhanced MRI was not consistently linked to stages. Conclusion: T2 signal hyperintensity and axillary capsule thickening are characteristic of the early stages of FS, although MRI alone cannot completely define the disease stage.

Opportunistic infections among people living with HIV/AIDS attending antiretroviral therapy clinics in Gedeo Zone, Southern Ethiopia.

INTRODUCTION: Opportunistic infections (OIs) are more common and severe among people with suppressed immunity like those living with HIV/AIDS (PLWH). This study aimed to assess the prevalence of OIs and associated factors among PLWH attending antiretroviral therapy (ART) clinics in the Gedeo zone, Southern Ethiopia. METHODS: A facility based retrospective cohort study was conducted from April to June 2018 among PLWH attending ART clinics in Gedeo zone, Ethiopia from November 2016 - November 2017. A simple random sampling method was used to select the both paper based and electronic study participants' charts. Adjusted odds ratios were calculated using multivariable logistic regression analysis for variables statistically significant at 95% confidence interval under bivariable logistic regression analysis, and significance was declared at P < 0.05. RESULTS: a total of 266 PLWH attended the selected ART clinics of Gedeo zone during the one year period were participated in the current study. The majority 104(39.1%) were within the age group 30-39, 106(60.2%) male, 184(69.2%) married, and 167(62.9%) urban residents. The study revealed the prevalence of OIs was 113(42.5%) with oral candidiasis 28(24.5%) the most prevalent followed by pulmonary tuberculosis 22(19.5%) and herpes zoster 15(13.4%). Further, study participants with ambulatory [AOR = 2.40(95% CI: 1.14, 5.03)], and bedridden [AOR = 3.27(95% CI:1.64, 6.52)] working functional status; with lower CD4 count: less than 200cells/mm3 [AOR = 9.14(95% CI: 2.75, 30.39)], 200-350cells/mm3 [AOR = 9.45(95% CI: 2.70,33.06)], 351-500cells/mm3 [AOR = 5.76(95% CI: 1.71, 19.39)]; being poor in ART adherence level [AOR = 10.05(95% CI: 4.31,23.46)]; being in stage III/IV WHO clinical stage of HIV/AIDS [AOR = 2.72(95% CI: 1.42, 5.20)]; and being chewing khat [AOR = 2.84(95% CI: 1.21, 6.65)] were found positively predicting the occurrence of OIs. CONCLUSION: This study speckled a high prevalence of OIs with several predicting factors. Therefore, the study acmes there should be interventional means which tackles the higher prevalence of OIs with focus to the predicting factors like lower CD4 count level, less/bedridden working functional status, poor ART adherence level, advanced stage of HIV/AIDS stage and chewing khat.

Molecular Tumor Board for Unicorns: Outcomes for rare and ultra-rare cancers using an N-of-One personalized treatment strategy.

Treatment of rare/ultra-rare tumors is an unmet need due to a lack of standardized therapies and clinical trials. We developed the Molecular Tumor Board (MTB), a multidisciplinary team that integrates molecular profiling to generate personalized, N-of-One treatments for advanced cancers. This study evaluates 112 patients with rare/ultra-rare tumors who presented to the MTB and were evaluable for clinical therapeutic outcome. Overall, 46/112 patients (41%) received a treatment regimen with a high degree of matching between tumor molecular alterations and drugs given (reflected by a high Matching Score (≥50%)). Patients with a high versus low Matching Score experienced significantly longer progression-free survival (p = 0.005) and overall survival (p = 0.047), and higher rates of clinical benefit (stable disease ≥6 months, partial response, or complete response) (54% vs. 32% p = 0.027). The MTB facilitated personalized N-of-One matching of drugs to tumor molecular alterations, which was associated with improved clinical outcomes in patients with rare/ultra-rare cancers.

Predictive efficacy of the preoperative neutrophil-lymphocyte ratio in lymph node metastasis of cN0 hormone receptor-positive breast cancer.

Breast cancer, as the most common cancer, has surpassed lung cancer worldwide. The neutrophil-to-lymphocyte ratio (NLR) has been linked to the onset of cancer and its prognosis in recent studies. However, quite a few studies have shown that there is a link between NLR and lymph node metastases in cN0 hormone receptor-positive (HR(+)) breast cancer. The purpose of this study was to evaluate the correlation between NLR and lymph node metastases in cN0 HR(+) breast cancer patients. From January 2012 to January 2022, 220 patients with cN0 HR(+) invasive breast cancers were enrolled in this study. The relationship between NLR and pathological data was statistically examined. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff of NLR, a chi-squared test was used for the univariate analysis, and logistic analysis was used for the multivariate analysis. The NLR had an optimal cutoff of 2.4 when the Jorden index was at a maximum. Patients with axillary lymph node metastases had a higher NLR (P < 0.05). A Univariate analysis showed that there were significant differences in cN0 HR(+) breast cancer with axillary lymph node metastasis among different clinical stages, histological grades, Ki-67 levels, tumor sizes, and NLR levels (P < 0.05). Clinical stage, tumor size, and NLR were found to be independent risk factors for lymph node metastases in multifactorial analysis. In cN0 HR(+) breast cancer, NLR is an independent risk factor for lymph node metastases. An NLR ≥ 2.4 indicates an increased probability of lymph node metastases. An elevated preoperative NLR has a high predictive value for axillary lymph node metastases.

Inaccurate Clinical Stage is Common and Associated With Poor Survival in Patients With Lung Cancer.

INTRODUCTION: Clinical staging in lung cancer has implications for treatment planning and prognosis. We sought to determine the rate of inaccurate clinical stage (relative to pathologic), identify risk factors for inaccuracy, and evaluate the association of inaccuracy on survival. We hypothesized that inaccurate staging was associated with poor survival. METHODS: In this retrospective cohort study, adult patients who received surgical resection without neoadjuvant treatment for nonsmall cell lung cancer from 2004 to 2020 in the National Cancer Database were categorized by accuracy of clinical stage (relative to pathologic stage). Multivariate models were used to determine risk factors for inaccuracy. The association between inaccuracy and overall survival was also analyzed. RESULTS: We identified 255,598 patients with lung cancer, including 84,543 patients (33.1%) who were inaccurately staged. Stage inaccuracy was associated with higher tumor, node, metastasis stage (T-category 3: odds ratio [OR] = 1.2, 95% confidence interval [CI] 1.15-1.28; N-category 2: OR = 2.6, 95% CI 2.47-2.79), greater quantity of lymph nodes evaluated, and more extensive resection (extended lobectomy/bilobectomy: OR = 1.3, 95% CI 1.20-1.37; pneumonectomy: OR = 1.6, 95% CI 1.54-1.74). Patients undergoing robotic surgery were less likely to be inaccurately staged (OR = 0.89, 95% CI 0.852-0.939). Inaccurate staging was associated with worse overall survival (5-y 67.5% accurate versus 55.4% inaccurate, P < 0.001). Inaccurate staging was also associated with worse survival in a multivariate Cox model (hazard ratio [HR] = 1.3, 95% CI 1.29-1.33). Both "understaging" (path > clinical) and "overstaging" (clinical > path) were associated with inferior survival. CONCLUSIONS: Inaccurate clinical stage (relative to pathologic) occurs in one-third of patients receiving surgery for lung cancer. Inaccuracy is associated with poor survival. Quality improvement initiatives should focus on improving clinical staging accuracy.

Systematic DOE Approach for Dry Granulation Study at Early Clinical Stage of Novel Drugs: An Industrial Case.

In order to introduce a cost-effective strategy method for commercial scale dry granulation at the early clinical stage of drug product development, we developed dry granulation process using formulation without API, fitted and optimized the process parameters adopted Design of Experiment (DOE). Then, the process parameters were confirmed using one formulation containing active pharmaceutical ingredient (API). The results showed that the roller pressure had significant effect on particle ratio (retained up to #60 mesh screen), bulk density and tapped density. The roller gap had significant influence on particle ratio and specific energy. The particle ratio was significantly affected by the mill speed (second level). The tabletability of the powder decreased after dry granulation. The effect of magnesium stearate on the tabletability was significant. In the process validation study, the properties of the prepared granules met the requirements for each response studied in the DOE. The prepared tablets showed higher tensile strength, good content uniformity of filled capsules, and the dissolution profiles of which were consistent with that of clinical products. This drug product process development and research strategies could be used as a preliminary experiment for the dry granulation process in the early clinical stage.

Exploring immune status in peripheral blood and tumor tissue in association with survival in patients with multi-organ metastatic colorectal cancer.

Colorectal cancer (CRC) raises considerable clinical challenges, including a high mortality rate once the tumor spreads to distant sites. At this advanced stage, more accurate prediction of prognosis and treatment outcome is urgently needed. The role of cancer immunity in metastatic CRC (mCRC) is poorly understood. Here, we explore cellular immune cell status in patients with multi-organ mCRC. We analyzed T cell infiltration in primary tumor sections, surveyed the lymphocytic landscape of liver metastases, and assessed circulating mononuclear immune cells. Besides asking whether immune cells are associated with survival at this stage of the disease, we investigated correlations between the different tissue types; as this could indicate a dominant immune phenotype. Taken together, our analyses corroborate previous observations that higher levels of CD8+ T lymphocytes link to better survival outcomes. Our findings therefore extend evidence from earlier stages of CRC to indicate an important role for cancer immunity in disease control even after metastatic spreading to multiple organs. This finding may help to improve predicting outcome of patients with mCRC and suggests a future role for immunotherapeutic strategies.

Construction of a Model for Predicting the Risk of pT3 Based on Perioperative Characteristics in cT1 Renal Cell Carcinoma: A Retrospective Study at a Single Institution.

INTRODUCTION: This study explored the predictors of upstaging and multiple sites of extension, and constructed a predictive model based on perioperative characteristics to calculate the risk of upstaging of cT1 renal cell carcinoma to pT3. METHODS: We retrospectively reviewed 1012 patients diagnosed with cT1 renal cell carcinoma who underwent surgical treatment at the Affiliated Hospital of Qingdao University between June 2016 and August 2021. The continuous and categorical variables were analyzed using the Mann-Whitney U test and Chi-square test, respectively. After randomly dividing patients into a training set and an internal validation set with a ratio of 7:3, univariate and multivariate logistic regression analyses were used to explore the predictors of upstaging and multiple sites of extension. A nomogram model was established based on the predictors of upstaging and was validated. RESULTS: Ninety-one cases (8.99%) of renal cell carcinoma were upstaged to pT3. In the training set, multivariate logistic regression identified the following predictors of upstaging: maximum tumor diameter, hilus involvement, tumor necrosis, tumor edge irregularity, symptoms, smoking, and platelet-lymphocyte ratio. A nomogram model was established based on the predictors. The area under the receiver operating characteristic curve was 0.810 in the training set, and 0.804 in the validation set. A 10-fold internal cross-validation conducted 200 times showed that the mean area under the curve was 0.797. The calibration curve and decision curve analysis suggested that the nomogram had robust clinical predictive power. Analyses showed higher neutrophil-lymphocyte ratio and tumor necrosis were associated with multiple sites of extrarenal extension in patients with pT3a renal cell carcinoma. CONCLUSIONS: We identified 7 predictors of upstaging to pT3 and 2 predictors of multiple sites of extension. A nomogram model was constructed with satisfactory accuracy for predicting upstaging to pT3.

Comparison of different treatment strategies for T3N1-3 stage gastric cancer based on the SEER database.

Treatment options for T3N1 stage gastric cancer exhibit regional variation, with optimal approach remaining unclear. We derived our data from the SEER database, using Cox proportional risk regression models for univariate and multivariate analyses of 5-years overall survival (5yOS) and 5-years cancer-specific survival (5yCSS). The results showed that younger age, female, non-white race, highly differentiated histologic grade, non-Signet ring cell adenocarcinoma, low N stage, lesser curvature of the stomach, OP followed by adjuvant C/T with or without RT, partial gastrectomy, C/T and others, Radiation therapy, and Chemotherapy were significantly associated with better 5yOS and 5yCSS. For patients with stage T3N1-3 gastric cancer, multimodal treatment regimens demonstrate superior survival outcomes compared to surgery or radiotherapy alone. Among them, OP followed by adjuvant C/T with or without RT emerges as particularly efficacious, potentially offering enhanced benefits for non-Asian populations.

Preoperatively predicting survival outcome for clinical stage IA pure-solid non-small cell lung cancer by radiomics-based machine learning.

OBJECTIVE: Clinical stage IA non-small cell lung cancer (NSCLC) showing a pure-solid appearance on computed tomography is associated with a worse prognosis. This study aimed to develop and validate machine-learning models using preoperative clinical and radiomic features to predict overall survival (OS) in clinical stage IA pure-solid NSCLC. METHODS: Patients who underwent lung resection for NSCLC between January 2012 and December 2020 were reviewed. The radiomic features were extracted from the intratumoral and peritumoral regions on computed tomography. The machine-learning models were developed using random survival forest and eXtreme Gradient Boosting (XGBoost) algorithms, whereas the Cox regression model was set as a benchmark. Model performance was assessed using the integrated time-dependent area under the curve (iAUC) and validated by 5-fold cross-validation. RESULTS: In total, 642 patients with clinical stage IA pure-solid NSCLC were included. Among 3748 radiomic and 34 preoperative clinical features, 42 features were selected. Both machine-learning models outperformed the Cox regression model (iAUC, 0.753; 95% confidence interval [CI], 0.629-0.829). The XGBoost model showed a better performance (iAUC, 0.832; 95% CI, 0.779-0.880) than the random survival forest model (iAUC, 0.795; 95% CI, 0.734-0.856). The XGBoost model showed an excellent survival stratification performance with a significant OS difference among the low-risk (5-year OS, 100.0%), moderate low-risk (5-year OS, 88.5%), moderate high-risk (5-year OS, 75.6%), and high-risk (5-year OS, 41.7%) groups (P < .0001). CONCLUSIONS: A radiomics-based machine-learning model can preoperatively and accurately predict OS and improve survival stratification in clinical stage IA pure-solid NSCLC.

Prognostic factors for relapse in patients with clinical stage I testicular non-seminoma: A nationwide, population-based cohort study.

BACKGROUND: Approximately 30% of patients with clinical stage I non-seminoma (CSI-NS) relapse. Current risk stratification is based on lymphovascular invasion (LVI) alone. The extent to which additional tumor characteristics can improve risk prediction remains unclear. OBJECTIVE: To determine the most important prognostic factors for relapse in CSI-NS patients. DESIGN, SETTING, AND PARTICIPANTS: Population-based cohort study including all patients with CSI-NS diagnosed in Denmark between 2013 and 2018 with follow-up until 2022. Patients were identified in the prospective Danish Testicular Cancer database. By linkage to the Danish National Pathology Registry, histological slides from the orchiectomy specimens were retrieved. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Histological slides were reviewed blinded to the clinical outcome. Clinical data were obtained from medical records. The association between prespecified potential prognostic factors and relapse was assessed using Cox regression analysis. Model performance was evaluated by discrimination (Harrell's C-index) and calibration. RESULTS: Of 453 patients included, 139 patients (30.6%) relapsed during a median follow-up of 6.3 years. Tumor invasion into the hilar soft tissue of the testicular hilum, tumor size, LVI and embryonal carcinoma were independent predictors of relapse. The estimated 5-year risk of relapse ranged from < 5% to > 85%, depending on the number of risk factors. After internal model validation, the model had an overall concordance statistic of 0.75. Model calibration was excellent. CONCLUSION AND RELEVANCE: The identified prognostic factors provide a much more accurate risk stratification than current clinical practice, potentially aiding clinical decision-making.

The International Association for the Study of Lung Cancer Mesothelioma Staging Project: Proposals for Revisions of the "T" Descriptors in the Forthcoming Ninth Edition of the TNM Classification for Pleural Mesothelioma.

INTRODUCTION: The primary tumor (T) component in the eighth edition of pleural mesothelioma (PM) staging system is based on pleural involvement and extent of invasion. Quantitative assessment of pleural tumor has been found to be prognostic. We explored quantitative and qualitative metrics to develop recommendations for T descriptors in the upcoming ninth edition of the PM staging system. METHODS: The International Association for the Study of Lung Cancer prospectively collected data on patients with PM. Sum of maximum pleural thickness (Psum) was recorded. Optimal combinations of Psum and eighth edition cT descriptors were assessed using recursive binary splitting algorithm, with bootstrap resampling to correct for the adaptive nature of the splitting algorithm, and validated in the eighth edition data. Overall survival (OS) was calculated by the Kaplan-Meier method and differences in OS assessed by the log-rank test. RESULTS: Of 7338 patients submitted, 3598 were eligible for cT analysis and 1790 had Psum measurements. Recursive partitioning identified optimal cutpoints of Psum at 12 and 30 mm, which, in combination with extent of invasion, yielded four prognostic groups for OS. Fmax greater than 5 mm indicated poor prognosis. cT4 category (based on invasion) revealed similar performance to eighth edition. Three eighth edition descriptors were eliminated based on low predictive accuracy. Eighth edition pT descriptors remained valid in ninth edition analyses. CONCLUSION: Given reproducible prognostication by Psum, size criteria will be incorporated into cT1 to T3 categories in the ninth edition. Current cT4 category and all pT descriptors will be maintained, with reclassification of fissural invasion as pT2.

Gross Hematuria Does not Affect the Selection of Nephrectomy Types for Clinical Stage 1 Clear Cell Renal Cell Carcinoma: A Multicenter, Retrospective Cohort Study.

PURPOSE: This study aimed to discuss the correlation between gross hematuria and postoperative upstaging (from T1 to T3a) in patients with cT1 clear cell renal cell carcinoma (ccRCC) and to compare oncologic outcomes of partial nephrectomy (PN) and radical nephrectomy (RN) in patients with gross hematuria. METHODS: A total of 2145 patients who met the criteria were enrolled in the study (including 363 patients with gross hematuria). The least absolute selection and shrinkage operator logistic regression was used to evaluate the risk factor of postoperative pathological upstaging. The propensity score matching (PSM) and stable inverse probability of treatment weighting (IPTW) analysis were used to balance the confounding factors. The Kaplan-Meier analysis and multivariate Cox proportional risk regression model were used to assess the prognosis. RESULTS: Gross hematuria was a risk factor of postoperative pathological upstaging (odds ratio [OR] = 3.96; 95% confidence interval [CI] 2.44-6.42; P < 0.001). After PSM and stable IPTW adjustment, the characteristics were similar in corresponding patients in the PN and RN groups. In the PSM cohort, PN did not have a statistically significant impact on recurrence-free survival (hazard ratio [HR] = 1.48; 95% CI 0.25-8.88; P = 0.67), metastasis-free survival (HR = 1.24; 95% CI 0.33-4.66; P = 0.75), and overall survival (HR = 1.46; 95% CI 0.31-6.73; P = 0.63) compared with RN. The results were confirmed in sensitivity analyses. CONCLUSIONS: Although gross hematuria was associated with postoperative pathological upstaging in patients with cT1 ccRCC, PN should still be the preferred treatment for such patients.

Opportunistic Infections among newly diagnosed HIV patients in the largest tertiary facility in Ghana.

Background: Opportunistic infections (OIs) among newly diagnosed HIV patients are a marker for inadequateness of HIV awareness and testing. Despite global efforts at creating awareness for early detection, late HIV diagnosis and its associated OIs still exist. This study sought to determine the prevalence and patterns of OIs and associated factors among newly diagnosed HIV patients in Ghana. Methods: A retrospective study using data extraction was conducted among 423 newly diagnosed HIV patients aged ≥18 years at the Korle-Bu Teaching Hospital from July 1st 2018 to December 2019. Multivariate logistic regression was adopted to assess factors associated to OIs. Analysis was performed using SPSS version 16, and p-value < 0.05 was deemed significant. Results: The mean age of patients with a new HIV diagnosis was 40.15 ± 11.47 years. Male versus female sex differential was 30.3% and 69.7%, respectively. The prevalence of OIs among newly diagnosed HIV patients was 33.1% (95% CI = 34.6-44.1). About 70% (120/166) of patients with OIs were classified into WHO clinical stage III and IV. The most common OIs were candidiasis (oro-pharyhngeal-esophageal) (36.9%), and cerebral toxoplasmosis (19.9%). The odds of an OI at the time of HIV diagnosis among females was 51% lower than in males (aOR = 0.49, 95% CI = 0.28-0.86). Being employed increased the odds of OIs by 2.5 compared to the unemployed (aOR = 2.5; 95% CI = 1.11-5.61). Participants classified as World Health Organization (WHO) HIV clinical stage III and IV were 15.88 (95% CI = 9.41-26.79) times more likely to experience OIs. Conclusion: One in three patients newly diagnosed with HIV presented with an opportunistic infection, with men more likely to experience such infections. Significant attention should be given to improving case-finding strategies, especially among men.

Analysis of risk factors related to clinical stage in patients with non-small cell lung cancer / 中国现代医生

@#Objective To investigate the risk factors associated with clinical stage in patients with non-small cell lung cancer(NSCLC).Methods The clinical data of 182 patients with non-small cell lung cancer admitted from July 2019 to March 2023 were retrospectively analyzed,and they were divided into stage Ⅰ,stage Ⅱ group(n=73)and stage Ⅲ,stage Ⅳ group(n=109)according to the clinical stage.Inter-group comparison and Logistic regression analysis were used to screen the risk factors affecting the clinical stage of patients,and receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of these risk factors.Results Antinuclear antibody(ANA),fibrinogen(FIB)and cytokeratin 19 fragment(CYFRA21-1)were independent risk factors affecting the clinical stage of NSCLC patients.The optimal cut-off values of FIB and CYFRA21-1 were 4.07g/L and 7.07μg/L,respectively.The area under curve(AUC)of the combined diagnosis of clinical stage was 0.859,the sensitivity was 64.2％,and the specificity was 95.9％.Conclusion ANA,FIB and CYFRA21-1 are independent risk factors for the progression of clinical stage of NSCLC patients.The combined detection of the three indicators has certain reference value for the diagnosis of clinical stage in NSCLC patients.

Pathological N1/N2 in Clinical Stage I Bronchogenic Carcinoma. Analysis From a Prospective Multicentre Database

Objectives: To determine the incidence of occult N1/N2 nodal metastases and associated risk factors in patients with non-small cell lung cancer no larger than 3cm and deemed cN0 by CT and PET-CT in a prospective, multicentre national database. Methods: Patients with a NSCLC no larger than 3cm, deemed cN0 by PET-CT and CT scan, who had undergone at least a lobectomy, were selected from a national multicentre database of 3533 patients who had undergone anatomic lung resection between 2016 and 2018. Clinical and pathological variables of patients with pN0 and patients with pN1/N2 were compared to identify factors associated with the presence of lymph node metastases. Chi2 and the Mann–Whitney U test were used for categorical and numerical variables, respectively. All variables with p<0.2 in the univariate analysis were included in the multivariate logistic regression analysis. Results: The study included 1205 patients from the cohort. The incidence of occult pN1/N2 disease was 10.70% (95%CI, 9.01–12.58). The multivariable analysis revealed that the degree of differentiation, size, location (central or peripheral) and SUV of the tumour in PET, surgeon experience and number of lymph nodes resected were associated with occult N1/N2 metastases. Conclusions: The incidence of occult N1/N2 in patients with bronchogenic carcinoma with cN0 tumours no larger than 3cm is no negligible. Data about the degree of differentiation, tumour size in CT scan, maximal uptake of the tumour in PET-CT, location (central or peripheral), number of lymph nodes resected and surgeon seniority is relevant in order to detect patients at risk. (AU)

Number of involved nodal stations: a better lymph node classification for clinical stage IA lung adenocarcinoma.

Background: With the popularization of lung cancer screening, more early-stage lung cancers are being detected. This study aims to compare three types of N classifications, including location-based N classification (pathologic nodal classification [pN]), the number of lymph node stations (nS)-based N classification (nS classification), and the combined approach proposed by the International Association for the Study of Lung Cancer (IASLC) which incorporates both pN and nS classification to determine if the nS classification is more appropriate for early-stage lung cancer. Methods: We retrospectively reviewed the clinical data of lung cancer patients treated at the Cancer Hospital, Chinese Academy of Medical Sciences between 2005 and 2018. Inclusion criteria was clinical stage IA lung adenocarcinoma patients who underwent resection during this period. Sub-analyses were performed for the three types of N classifications. The optimal cutoff values for nS classification were determined with X-tile software. Kaplan‒Meier and multivariate Cox analyses were performed to assess the prognostic significance of the different N classifications. The prediction performance among the three types of N classifications was compared using the concordance index (C-index) and decision curve analysis (DCA). Results: Of the 669 patients evaluated, 534 had pathological stage N0 disease (79.8%), 82 had N1 disease (12.3%) and 53 had N2 disease (7.9%). Multivariate Cox analysis indicated that all three types of N classifications were independent prognostic factors for prognosis (all P < 0.001). However, the prognosis overlaps between pN (N1 and N2, P = 0.052) and IASLC-proposed N classification (N1b and N2a1 [P = 0.407], N2a1 and N2a2 [P = 0.364], and N2a2 and N2b [P = 0.779]), except for nS classification subgroups (nS0 and nS1 [P < 0.001] and nS1 and nS >1 [P = 0.006]). There was no significant difference in the C-index values between the three N classifications (P = 0.370). The DCA results demonstrated that the nS classification provided greater clinical utility. Conclusion: The nS classification might be a better choice for nodal classification in clinical stage IA lung adenocarcinoma.

Development of a nomogram prediction model based on 3D quantitative parameters for mediastinal lymph node metastases in clinical stage ⅠA lung adenocarcinoma / 实用放射学杂志

Objective To develop a nomogram based on pulmonary nodules preoperative CT signs and 3D quantitative parameters for predicting mediastinal lymph node metastases in patients with clinical stage ⅠA lung adenocarcinoma.Methods The imaging data of 164 patients who underwent preoperative CT scan and systematic lymph node dissection were analyzed retrospectively.Commercially available AI software was used to extract 3D quantitative parameters of pulmonary nodules automatically,and CT signs of pulmonary nodules were analyzed.Logistic regression was used to explore the role of these parameters in predicting pathological nodal involvement.A nomogram prediction model was established,then discrimination and calibration of the model were evaluated.Results Among 164 enrolled patients,19(11.6％)were tested positive for mediastinal lymph node metastases at pathology review.The nomogram incorporated spiculation,lobulation,the largest cross-sectional area,and carcinoembryonic antigen(CEA).The model showed great discrimination and calibration,with a C-index of 0.942[95％confidence interval(CI)0.923-0.961].The predicted value of the model fitted well with the actual observed value on the calibration curve.Conclusion The nomogram prediction model based on preoperative CT signs,3D quantitative parameters,and CEA can estimate the probability of mediastinal lymph node metastases in clinical stage ⅠA lung adenocarcinoma.This model may help with clinical decision-making and individualized evaluation.

Expression of programmed cell death protein 5 in cervical cancer and its relationship with lymph node metastasis / 实用医学杂志

Objective To explore the expression of programmed cell death protein 5 in cervical cancer and its relationship with lymph node metastasis.Methods 98 cases of cervical cancer patients admitted to our hospital were selected as the observation group,and 98 cases of cervical benign lesions were selected as the control group.The expression levels of PDCD5 in serum and lesion tissues of the two groups were compared to analyze the relationship between PDCD5 and pathological features of cervical cancer,and the diagnostic value of PDCD5 in lymph node metastasis of patients with cervical cancer was analyzed by ROC curve.Results The expression levels of PDCD5 in serum and lesion tissue of observation group were lower than those of control group(P<0.05).With the increase of clinical stage and pathological grade of cervical cancer,the expression of PDCD5 in serum and lesion tissue was significantly decreased(P<0.05).Among the 98 patients with cervical cancer,32 had lymph node metastasis.The expression levels of PDCD5 in serum and lesion tissue of lymph node metastasis group were lower than those of non-lymph node metastasis group(P<0.05).ROC curve results showed that the AUCs of PDCD5 in serum and lesion tissue to predict lymph node metastasis of cervical cancer patients were 0.810 and 0.850,respectively,with no statistical significance(P>0.05).Conclusion The Programmed cell death protein 5 is closely related to the pathological features of patients with cervical cancer,and it has a good predictive effect on lymph node metastasis,which is worthy of further study and application.

Advances in post-operative prognostic models for hepatocellular carcinoma / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Hepatocellular carcinoma (HCC) is one of the most common malignancies and a leading cause of cancer-related death worldwide. Surgery remains the primary and most successful therapy option for the treatment of early- and mid-stage HCCs, but the high heterogeneity of HCC renders prognostic prediction challenging. The construction of relevant prognostic models helps to stratify the prognosis of surgically treated patients and guide personalized clinical decision-making, thereby improving patient survival rates. Currently, the prognostic assessment of HCC is based on several commonly used staging systems, such as Tumor-Node-Metastasis (TNM), Cancer of the Liver Italian Program (CLIP), and Barcelona Clinic Liver Cancer (BCLC). Given the insufficiency of these staging systems and the aim to improve the accuracy of prognostic prediction, researchers have incorporated further prognostic factors, such as microvascular infiltration, and proposed some new prognostic models for HCC. To provide insights into the prospects of clinical oncology research, this review describes the commonly used HCC staging systems and new models proposed in recent years.