Background: Non-small cell lung cancer (NSCLC) with brain metastases represents approximately 10% of new cancer cases globally. Brain local treatments in addition to resection of the primary lung tumor has been shown to benefit patients with oligometastases. This study aimed to identify the potential beneficiaries of brain local treatment and the timing of lung and brain treatment. Methods: A total of 198 patients diagnosed with NSCLC with synchronous limited brain metastases undergoing thoracic surgery were included. Kaplan-Meier analysis and Cox regression model were used to evaluate the associations between treatments patterns and prognosis. Results: Compared to patients who did not receive brain local treatment, significantly better prognosis was observed for those who received upfront brain treatment [overall survival (OS): hazard ratio (HR); 0.52, 95% confidence interval (CI): 0.28-0.97, P=0.04; progression-free survival (PFS): HR, 0.51; 95% CI: 0.32-0.84, P=0.007] and for those who received subsequent brain treatment (OS: HR, 0.50, 95% CI: 0.31-0.82, P=0.005; PFS: HR, 0.51; 95% CI: 0.35-0.74, P<0.001). Kaplan-Meier curves indicated that there was no significant difference in OS and PFS between the upfront and subsequent brain treatment groups. However, the postoperative brain recurrence rate in upfront group was significantly lower than that in subsequent group (24.0% vs. 46.0%, P=0.048). Conclusions: We identified that local brain treatments combined with thoracic surgery serve as a significant protective factor for the prognosis of NSCLC patients with brain oligometastasis, particularly for those with solitary metastatic lesion. In comparison to subsequent brain treatment, upfront brain treatment was associated with a lower rate of postoperative brain recurrence.

OBJECTIVES:The 9th edition of the tumor-node-metastasis (TNM) staging system for lung cancer was proposed at the 2023 World Conference on Lung Cancer in Singapore. This study aimed to externally validate and compare the latest staging of small-cell lung cancer (SCLC). METHODS:Four hundred and eight patients with limited-stage SCLC were collected after lung resection from four centers. Survival curves by TNM stages were drawn using the Kaplan-Meier method and further compared by the Log-rank test. The Cox regression, receiver operating characteristics curves, area under the curve (AUC), Akaike information criterion (AIC), Bayesian information criterion (BIC), and Concordance index (C-index) were used in this study. RESULTS:In comparing IA vs. IIB, IIA vs. IIB, IIA vs. IIIA, IIA vs. IIIB, and IIIA vs. IIIB, the 9th edition had a better distinguishing ability than the eighth staging system (all p < 0.05). Besides, the 9th edition TNM staging had better predictive power and accuracy for the overall survival (OS) of SCLC patients over the 8th edition (AUC of 3-year OS: 0.680 vs. o.668; AIC: 4425.25 vs. 4444.52; BIC: 4493.44 vs. 4512.71; C-index: 0.637 [0.04] vs. 0.629 [0.039], p < 0.001). CONCLUSIONS:Our external validation demonstrates that the ninth edition of pathological TNM staging for limited-stage SCLC is reasonable and valid based on a multicenter study. The ninth edition has better prognostic accuracy than the eighth edition.

BACKGROUND:The standard surgical treatment for early-stage non-small cell lung cancer (NSCLC) involves anatomical lobectomy and mediastinal lymph node dissection (MLND). According to the principle of "from distal to proximal" during tumour resection, MLND should ideally be performed before lobectomy to fit the criteria of surgical oncology. However, no prospective randomised controlled trial (RCT) has compared MLND-first versus lobectomy-first approaches in early-stage NSCLC. This provides the rationale for this multicentre RCT. METHODS:This multicentre, prospective, open-label, RCT investigates the superiority of MLND-first over lobectomy-first in terms of long-term survival in patients with clinical stage T1-2N0-1M0 (stages I-II) NSCLC (LOFTY study). We plan to enrol 620 patients from multiple institutions. Stratified block randomisation will be performed in this trial. The primary endpoint is the 5-year disease-free survival rate, and the secondary endpoints comprise the 5-year overall survival rate and short-term outcomes, such as conversion rate, perioperative complication rate, number of resected mediastinal lymph nodes, operative death rate, postoperative hospital stays, R0 rate, operative time, chest tube duration, number of circulating tumour cells before and after operation, and the total cost of hospitalisation. The primary endpoint will be assessed by a central committee of blinded expert radiologists. Patient recruitment is currently ongoing. DISCUSSION:This multicentre, prospective, open-label RCT investigates whether MLND-first is superior to lobectomy-first in terms of long-term outcomes in early-stage NSCLC patients who are suitable for lobectomies. The results of this trial will provide high-level evidence to clarify the standard surgical sequence for early-stage operable NSCLC. TRIAL REGISTRATION:Guangdong Association Study of Thoracic Oncology GASTO-10129. Registered on 26 March. 2022. Chinese Clinical Trials Registry ChiCTR2300068586. Registered on 24 February 2023. CLINICALTRIAL:gov NCT06577792. Registered on 29 August 2024.

Background:The prognostic significance of skip metastasis remains controversial in the context of the recently revised N2a (single-station) and N2b (multi-station) of non-small cell lung cancer (NSCLC). This study aims to investigate the survival impact of skip metastasis in these subgroups. Methods:We retrospectively analyzed 1,873 NSCLC patients who underwent surgery with systematic lymph node dissection at a single institution. Patients were categorized into pN1, skip pN2a, non-skip pN2a, skip pN2b, and non-skip pN2b groups. Overall survival (OS) and disease-free survival (DFS) were assessed using Kaplan-Meier analysis and Cox proportional hazards regression, with propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) applied to minimize confounding. Results:Skip metastasis was identified in 34.1% of pN2 cases, with a higher incidence in pN2a (41.3%) than in pN2b (24.3%). Skip pN2a showed significantly better 5-year OS and DFS rates compared to non-skip pN2a (72% vs. 67%, P=0.02; 57% vs. 48%, P=0.002). Similarly, skip pN2b had superior outcomes compared to non-skip pN2b (5-year OS: 65% vs. 58%, P=0.008; DFS: 42% vs. 37%, P=0.03). Notably, no significant survival difference was observed between skip pN2a and pN1, or between non-skip pN2a and skip pN2b, even after PSM and IPTW adjustments. Conclusions:Skip metastasis confers a survival advantage in both pN2a and pN2b NSCLC subgroups with comparable survival between skip pN2a and pN1, as well as between non-skip pN2a and skip pN2b.

Objective This study aimed to construct a model based on 23 enrolled molecules to evaluate prognoses of pT2/3N0M0 esophageal squamous cell carcinoma (ESCC) patients with up to 20 years of follow-up. Methods The lasso-Cox model was used to identify the candidate molecule. A nomogram was conducted to develop the survival model (molecular score, MS) based on the molecular features. Cox regression and Kaplan-Meier analysis were used in this study. The concordance index (C-index) was measured to compare the predicted ability between different models. The primary endpoint was overall survival (OS). Results A total of 226 patients and 23 proteins were enrolled in this study. Patients were classified into high-risk (MS-H) and low-risk (MS-L) groups based on the MS score of 227. The survival curves showed that the MS-L cohort had better 5-year and 10-year survival rates than the MS-H group (5-year OS: 51.0% vs. 8.0%; 10-year OS: 45.0% vs. 5.0%, all p < 0.001). Furthermore, multivariable analysis confirmed MS as an independent prognostic factor after eliminating the confounding factors (Hazard ratio 3.220, p < 0.001). The pT classification was confirmed to differentiate ESCC patients' prognosis (Log-rank: p = 0.029). However, the combination of pT and MS could classify survival curves evidently (overall p < 0.001), which showed that the prognostic prediction efficiency was improved significantly by the combination of the pT and MS than by the classical pT classification (C-index: 0.656 vs. 0.539, p < 0.001). Conclusions Our study suggested an MS for significant clinical stratification of T2/3N0M0 ESCC patients to screen out subgroups with poor prognoses. Besides, the combination of pT staging and MS could predict survival more accurately for this cohort than the pT staging system alone.

Background:The relationship between quality of life and survival outcomes in esophageal cancer patients following curative resection is not well established. This study aimed to longitudinally assess quality of life indicators and their association with overall survival (OS) in these patients. Methods:A total of 232 patients were included in the study, and their quality of life was prospectively assessed at different time points using the European Organisation for Research and Treatment of Cancer (EORTC) 30-item core quality of life questionnaire (QLQ-C30) and the disease-specific esophageal module (QLQ-OES18). The scores of QLQ indicators at each time point were summarized, and changes in postoperative assessment were compared with preoperative assessments. The association of deterioration in certain indicators with OS was evaluated at each time point using Cox univariable analysis. Further confirmation of independent variables was carried out using Cox multivariable analysis. Results:The study cohort comprised 62 females (26.7%), and 113 patients (48.7%) aged over 60 years. The median follow-up time was 80 months (range, 8-118 months). At 24 months after discharge, patients reported improvements in role function, fatigue, cognition function, emotional function, social function, insomnia, appetite loss, nausea and vomiting, constipation, financial status, trouble swallowing saliva, and pain related to esophageal cancer. However, physical function, dyspnea, diarrhea, global health status, choking when swallowing, trouble talking, and reflux remained compromised. Multivariable regression analysis revealed deterioration in role function, emotional function, and coughing difficulty at 6 months, and dyspnea, pain, and cognitive function at 24 months post-discharge were identified as independent prognostic factors for OS. Conclusions:Our findings underscore the importance of monitoring quality of life indicators in esophageal cancer patients as they may significantly influence survival outcomes. The identification of specific quality of life indicators as prognostic factors highlights the need for a patient-centered approach in clinical practice to enhance care and potentially improve survival.

Aim: This population-based analysis aimed to explore the associations among marital status, prognosis and treatment of stage I non-small-cell lung cancer. Materials & methods: The propensity score matching (PSM), logistic regression and Cox proportional hazards model were used in this study. Results: A total of 13,937 patients were included. After PSM, 10579 patients were co-insured. The married were more likely to receive surgical treatment compared with the unmarried patients (OR: 1.841, p < 0.001), and patients who underwent surgery also tended to have better survival (HR: 0.293, p < 0.001). Conclusion: Compared with unmarried patients, a married group with stage I NSCLC had timely treatment and more satisfactory survival. This study highlights the importance of prompt help and care for unmarried patients.

Background The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort. Materials and methods We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathological N modification categories, new pN#1 (pN0-#ELNs > 3), new pN#2 (pN0-#ELNs ≤ 3 or pN1-2-#LNR ≤ 0.14), and new pN#3 (N1-2-#LNR > 0.14). The Akaike information criterion (AIC), Bayesian Information Criterion, and Concordance index (C-index) were used to compare the prognostic, predictive ability between the current pN classification and the new pN component. Results The new pN classification had a satisfactory effect on survival curves (Log-rank P < 0.001). After adjusting for other confounders, the new pN classification could be an independent prognostic indicator. Besides, the new pN component had a much more accurate predictive ability in the prognostic assessment for SCLC patients of pathological classifications T1-2N0-2M0 compared with the current pN classification in the SEER database (AIC: 4705.544 vs. 4731.775; C-index: 0.654 vs. 0.617, P < 0.001). Those results were validated in the MCDB from China. Conclusions The multicenter cohort developed and validated a modified nodal classification for SCLC patients with pathological category T1-2N0-2M0 after surgery. Besides, we propose that an adequate lymph node dissection is essential; surgeons should perform and consider the situation of ELNs and LNR when they evaluate postoperative prognoses of SCLC patients.

Background The efficacy of monotherapy of AMG-510 is limited. This study explored whether the AMG-510 and cisplatin combination increases the anti-tumor effect in lung adenocarcinoma with the mutation of Kirsten rat sarcoma viral oncogene (KRAS) G12C. Methods Patients’ data were used to analyze the proportion of KRAS G12C mutation. Besides, the next-generation sequencing data was used to uncover information about co-mutations. The cell viability assay, the concentration inhibiting 50% of cell viability (IC50) determination, colony formation, and cell-derived xenografts were conducted to explore the anti-tumor effect of AMG-510, Cisplatin, and their combination in vivo. The bioinformatic analysis was conducted to reveal the potential mechanism of drug combination with improved anticancer effect. Results The proportion of KRAS mutation was 2.2% (11/495). In this cohort with KRAS mutation, the proportion of G12D was higher than others. Besides, KRAS G12A mutated tumors had the likelihood of concurrent serine/threonine kinase 11 (STK11) and kelch-like ECH-associated protein 1 (KEAP1) mutations. KRAS G12C and tumor protein p53 (TP53) mutations could appear at the same time. In addition, KRAS G12D mutations and C-Ros oncogene 1 (ROS1) rearrangement were likely to be present in one tumor simultaneously. When the two drugs were combined, the respective IC50 values were lower than when used alone. In addition, there was a minimum number of clones among all wells in the drug combination. In in vivo experiments, the tumor size reduction in the drug combination group was more than twice that of the single drug group ( p < 0.05). The differential expression genes were enriched in the pathways of phosphatidylinositol 3 kinase-protein kinase B (PI3K-Akt) signaling and extracellular matrix (ECM) proteoglycans compared the combination group to the control group. Conclusions The anticancer effect of the drug combination was confirmed to be better than monotherapy in vitro and in vivo. The results of this study may provide some information for the plan of neoadjuvant therapy and the design of clinical trials for lung adenocarcinoma patients with KRAS G12C mutation.

Abstract Introduction At present, clinical factors and hematological indicators have been proved to have great potential in predicting the prognosis of cancer patients, and no one has combined these two valuable indicators to establish a prognostic model for esophageal squamous cell carcinoma (ESCC) patients with stage T1-3N0M0 after R0 resection. To verify, we aimed to combine these potential indicators to establish a prognostic model. Methods Stage T1-3N0M0 ESCC patients from two cancer centers (including training cohort: N = 819, and an external validation cohort: N = 177)—who had undergone esophagectomy in 1995–2015 were included. We integrated significant risk factors for death events by multivariable logistic regression methods and applied them to the training cohort to build Esorisk. The parsimonious aggregate Esorisk score was calculated for each patient; the training set was divided into three prognostic risk classes according to the 33rd and 66th percentiles of the Esorisk score. The association of Esorisk with cancer-specific survival (CSS) was assessed using Cox regression analyses. Results The Esorisk model was: [10 + 0.023 × age + 0.517 × drinking history − 0.012 × hemoglobin–0.042 × albumin − 0.032 × lymph nodes]. Patients were grouped into three classes—Class A (5.14–7.26, low risk), Class B (7.27–7.70, middle risk), and Class C (7.71–9.29, high risk). In the training group, five-year CSS decreased across the categories (A: 63%; B: 52%; C: 30%, Log-rank P < 0.001). Similar findings were observed in the validation group. Additionally, Cox regression analysis showed that Esorisk aggregate score remained significantly associated with CSS in the training cohort and validation cohort after adjusting for other confounders. Conclusions We combined the data of two large clinical centers, and comprehensively considered their valuable clinical factors and hematological indicators, established and verified a new prognostic risk classification that can predict CSS of stage T1-3N0M0 ESCC patients.

Background: Thymic carcinoma (TC) is a rare malignant tumor that can have a poor prognosis, and accurate prognostication prediction remains difficult. We aimed to develop a nomogram to predict overall survival (OS) and cancer-specific survival (CSS) based on a large cohort of patients. Methods: The Surveillance Epidemiology and End Results (SEER) database was searched to identify TC patients (1975–2016). Univariate and multivariable Cox regression analyses were used to identify predictors of OS and CSS, which were used to construct nomograms. The nomograms were evaluated using the concordance index (C-index), calibration curve, receiver operating characteristic curve, and decision curve analysis (DCA). Subgroup analysis was performed to identify high-risk patients. Results: The analysis identified six predictors of OS (Masaoka stage, surgical method, lymph node metastasis, liver metastasis, bone metastasis, and radiotherapy) and five predictors of CSS (Masaoka stage, surgical method, lymph node metastasis, tumor size, and brain metastasis), which were used to create nomograms for predicting three-year and five-year OS and CSS. The nomograms had reasonable C-index values (OS: 0.687 [training] and 0.674 [validation], CSS: 0.712 [training] and 0.739 [validation]). The DCA curve revealed that the nomograms were better for predicting OS and CSS, relative to the Masaoka staging system. Conclusion: We developed nomograms using eight clinicopathological factors that predicted OS and CSS among TC patients. The nomograms performed better than the traditional Masaoka staging system and could identify high-risk patients. Based on the nomograms’ performance, we believe they will be useful prognostication tools for TC patients.

Abstract Background Lung cancer is the second most commonly diagnosed cancer and ranks the first in mortality. Pathological lymph node status(pN) of lung cancer affects the treatment strategy after surgery while systematic lymph node dissection(SLND) is always unsatisfied. Methods We reviewed the clinicopathological features of 2,696 patients with LUAD and one single lesion ≤ 5 cm who underwent SLND in addition to lung resection at the Sun Yat-Sen University Cancer Center. The relationship between the pN status and all other clinicopathological features was assessed. All participants were stochastically divided into development and validation cohorts; the former was used to establish a logistic regression model based on selected factors from stepwise backward algorithm to predict pN status. C-statistics, accuracy, sensitivity, and specificity were calculated for both cohorts to test the model performance. Results Nerve tract infiltration (NTI), visceral pleural infiltration (PI), lymphovascular infiltration (LVI), right upper lobe (RUL), low differentiated component, tumor size, micropapillary component, lepidic component, and micropapillary predominance were included in the final model. Model performance in the development and validation cohorts was as follows: 0.861 (95% CI: 0.842–0.883) and 0.840 (95% CI: 0.804–0.876) for the C-statistics and 0.803 (95% CI: 0.784–0.821) and 0.785 (95% CI: 0.755–0.814) for accuracy, and 0.754 (95% CI: 0.706–0.798) and 0.686 (95% CI: 0.607–0.757) for sensitivity and 0.814 (95% CI: 0.794–0.833) and 0.811 (95% CI: 0.778–0.841) for specificity, respectively. Conclusion Our study showed an easy and credible tool with good performance in predicting pN in patients with LUAD with a single tumor ≤ 5.0 cm without SLND and it is valuable to adjust the treatment strategy.

Background: The study on skip-N2 metastasis in small-cell lung cancer (SCLC) is lacking. Therefore, this study aimed to explore the prognostic significance of skip-N2 metastasis based on a multicenter cohort. Methods: We collected 176 SCLC patients with pathological categories T1-4N1-2M0 from four hospitals in China. Survival curves were drawn through the Kaplan–Meier method and compared by the log-rank test. The Cox regression method was used to calculate the hazard ratio (HR) and 95% confidence interval of the characteristics for cancer-specific survival (CSS). Two propensity-score methods were used to reduce the bias, including the inverse probability of treatment weighting (IPTW) and propensity-score matching (PSM). Results: This multicenter database included 64 pN1 patients, 63 non-skip-N2 cases, and 49 skip-N2 cases. Skip-N2 and the non-skip-N2 patients had gap CSS rates (skip-N2 no versus yes: 41.0% versus 62.0% for 1-year CSS, 32.0% versus 46.0% for 2-year CSS, and 20.0% versus 32.0% for 3-year CSS). After PSM, there were 32 pairs of patients to compare survival differences between N2 and skip-N2 diseases, and 34 pairs of patients to compare prognostic gaps between N1 and skip-N2 diseases, respectively. The results of IPTW and PSM both suggested that skip-N2 cases had better survival outcomes than the non-skip-N2 cases (IPTW-adjusted HR = 0.578; PSM-adjusted HR = 0.510; all log-rank p < 0.05). Besides, the above two analytic methods showed no difference in prognoses between pN1 and skip-N2 diseases (all log-rank p > 0.05). Conclusions: Skip-N2 patients were confirmed to have a better prognosis than non-skip-N2 patients. Besides, there was no survival difference between pN1 and skip-N2 cases. Therefore, we propose that the next tumor-node-metastasis staging system needs to consider the situation of skip metastasis with lymph nodes in SCLC.

Background: The objective of the present study was to identify patients with pathologic stage I lung adenocarcinoma (LUAD) who are at high risk of recurrence and assess the efficacy of adjuvant chemotherapy (ACT) in these individuals.Methods: A retrospective study was conducted on 1504 patients with pathologic stage I LUAD who underwent surgical resection at Shanghai Pulmonary Hospital and Sun Yat-sen University Cancer Center. Cox proportional hazard regression analyses were performed to identify indicators associated with a high risk of recurrence, while the Kaplan-Meier method and Log-rank test were employed to compare recurrence-free survival (RFS) and overall survival (OS) between patients with ACT and those without it.Results: Four independent indicators, including age (>= 62 years), visceral pleural invasion (VPI), predominant pattern (micropapillary/solid), and lymphovascular invasion (LVI), were identified to be significantly related with RFS. Subsequently, patients were classified into high-risk and lowrisk groups by LVI, VPI, and predominant pattern. The administration of ACT significantly increased both RFS (P < 0.001) and OS (P = 0.03) in the high-risk group (n = 250). Conversely, no significant difference was observed in either RFS (P = 0.45) or OS (P = 0.063) between ACT and non-ACT patients in the low-risk group (n = 1254).Conclusions: Postoperative patients with stage I LUAD with factors such as LVI, VPI, and micropapillary/solid predominant pattern may benefit from ACT.

INTRODUCTION:Thymic epithelial tumors are the most common mediastinal tumors. Despite the high survival rate after surgery, some patients still require postoperative adjuvant therapy and closer follow-up. Hematological indicators such as biochemical routines and coagulation indicators have been reported to be independently associated with the prognosis of various malignancies. Therefore, we included hematological indicators in the analysis.METHODS:The data of 105 patients with thymic epithelial tumors were retrospectively collected from Sun Yat-sen University Cancer Center, and the patients with missing preoperative hematological indicators were excluded. X-tile software was used to obtain the best cutoff value of each preoperative hematological indicator, and COX regression analysis and Kaplan-Meier survival curves were used to demonstrate statistically significant results.RESULTS:COX univariate regression analysis of all patients showed that Masaoka stage, T stage, WHO histologic types, D-dimer, albumin-fibrinogen ratio (AFR), Fibrinogen (Fbg) were associated with postoperative overall survival (P < .05). T stage, WHO histologic types, D-dimer, and AFR were associated with postoperative recurrence-free survival (P < .05). Finally, multivariate regression analysis showed that T stage, D-dimer levels were independently associated with postoperative overall survival (OS) and recurrence-free survival (RFS) in patients with thymic epithelial tumors.CONCLUSIONS:For thymic epithelial tumors, higher preoperative D-dimer levels predict poorer survival and shorter recurrence-free survival. This may help guide postoperative adjuvant therapy and follow-up patterns in patients with thymic epithelial tumors.

Introduction: Tumor markers have been shown to be closely related to the long-term survival of patients with cancer and the recurrence of various malignant tumors. However, their role in thymic epithelial tumors (TETs) remains to be elucidated. We aimed to investigate whether the preoperative tumor biomarkers carcinoembryonic antigen (CEA) and neuron-specific enolase (NSE) could serve as independent predictors of postoperative prognosis in patients with TETs. Materials and Methods: We retrospectively included a total of 111 patients with TETs who underwent thymectomy at our hospital. Cox regression analysis was used to evaluate the statistical significance of CEA and NSE as independent predictors of overall survival (OS) and recurrence-free survival (RFS). Kaplan-Meier curves were used to present the results of our survival analyses. Results: Cox regression analysis showed that T stage, World Health Organization (WHO) histologic type, tumor size, and CEA levels served as independent prognostic factors for OS (P < .05). Whereas for RFS, multivariate analysis showed that only T stage, WHO histologic type, and drinking history were independently associated with it (P < .05). Conclusion: Our study found that preoperative serum CEA levels and tumor size may be strong predictors of postoperative OS in patients with TETs.

ObjectiveThis study was to explore the difference and significance of parietal pleura invasion and rib invasion in pathological T classification with non-small cell lung cancer.MethodsA total of 8681 patients after lung resection were selected to perform analyses. Multivariable Cox analysis was used to identify the mortality differences in patients between parietal pleura invasion and rib invasion. Eligible patients with chest wall invasion were re-categorized according to the prognosis. Cancer-specific survival curves for different pathological T (pT) classifications were presented.ResultsThere were 466 patients considered parietal pleura invasion, and 237 patients served as rib invasion. Cases with rib invasion had poorer survival than those with the invasion of parietal pleura (adjusted hazard ratio [HR]= 1.627, P =0.004). In the cohort for parietal pleura invasion, patients with tumor size ≤5cm reached more satisfactory survival outcomes than patients with tumor size >5cm (unadjusted HR =1.598, P =0.006). However, there was no predictive difference in the cohort of rib invasion. The results of the multivariable analysis revealed that the mortality with parietal pleura invasion plus tumor size ≤5cm were similar to patients with classification pT3 (P =0.761), and patients for parietal pleura invasion plus tumor size >5cm and pT4 had no stratified survival outcome (P =0.809). Patients identified as rib invasion had a poorer prognosis than patients for pT4 (P =0.037).ConclusionsRib invasion has a poorer prognosis than pT4. Patients with parietal pleura invasion and tumor size with 5.1-7.0cm could be appropriately up-classified from pT3 to pT4.

Introduction Systemic nutrition and immune inflammation are the key factors in cancer development and metastasis. This study aimed to compare and assess four nutritional status and immune indicators: prognostic nutritional index (PNI), nutritional risk index (NRI), neutrophil-to-lymphocyte ratio (NLR), and the systemic immune-inflammatory index (SII) as prognostic indicators for patients with thymic epithelial tumors. Materials We retrospectively reviewed 154 patients who underwent thymic epithelial tumor resection at our hospital between 2004 and 2015. The optimal cutoff value for each nutritional and immune index was obtained using the X-tile software. Kaplan-Meier curves and Cox proportional hazards models were used for survival analysis. Results Univariate analysis showed that PNI, NRI, NLR, SII, albumin (ALB), the albumin/globulin ratio (A/G), WHO stage, T stage, and drinking history were associated with the overall survival (OS) of patients (P < 0.05). The NRI, NLR, A/G, ALB, T stage, and WHO stage were significant independent prognostic factors of OS in multivariate analysis (P < 0.05). Finally, we constructed a coNRI-NLR model to predict OS and recurrence-free survival (RFS). Conclusions This study suggests that the preoperative NRI, NLR, and coNRI-NLR model may be important prognostic factors for patients with thymic epithelial tumors who undergo surgical resection.