LTF Induces Radioresistance by Promoting Autophagy and Forms an AMPK/SP2/NEAT1/miR-214-5p Feedback Loop in Lung Squamous Cell Carcinoma.

Radiotherapy is the most predominant treatment strategy for lung squamous cell carcinoma (LUSC) patients, but radioresistance is the major obstacle to therapy effectiveness. The mechanisms and regulators of LUSC radioresistance remain unclear. Here, lactotransferrin (LTF) is found to be significantly upregulated in radioresistant LUSC cell lines (H226R and H1703R) and clinical samples and promotes radioresistance of LUSC both in vitro and in vivo. Comprehensive enrichment analyses suggested that LTF potentially modulates autophagy in LUSC. Interestingly, the level of autophagy was raised in the radioresistant cells, and suppression of autophagy sensitized LUSC to irradiation. Functional experiments showed that LTF deficiency inhibits cellular autophagy through the AMPK pathway, ultimately leading to radiosensitization. Mechanistically, LTF can directly interact with AMPK to facilitate its phosphorylation and activate autophagy signaling. Moreover, NEAT1 functions as a ceRNA that targets miR-214-5p resulting in an increased LTF expression. Intriguingly, SP2, a transcription factor regulated by AMPK, induced NEAT1 expression by directly binding to its promoter region and thus forming a LTF/AMPK/SP2/NEAT1/miR-214-5p feedback loop. Our work reveals for the first time that LTF induces radioresistance by promoting autophagy and enhancing its self-expression via forming a positive feedback loop, suggesting that LTF is an appealing radiosensitization target for treating LUSC.

The molecular mechanism of kinesin family member 2A (KIF2A) underlying non-small cell lung cancer: the effect of its knockdown on malignant behaviors, stemness, chemosensitivity, and potential regulated signaling pathways.

Kinesin family member 2A (KIF2A) represents an oncogene in several cancers, however, its involvement in non-small cell lung cancer (NSCLC) is limitedly investigated. Therefore, the present study aimed to explore potential molecular mechanism of KIF2A knockdown in repressing NSCLC malignant behaviors. The effect of KIF2A knockdown on cell proliferation, apoptosis, invasion, epithelial-mesenchymal transition (EMT) markers, stemness, chemosensitivity was detected after transfecting KIF2A short hairpin RNA (ShRNA) plasmids into A549 and NCI-H1975 cells. Moreover, KIF2A knockdown mediated signaling pathways were analyzed by RNA sequencing (RNA-seq), and then validated by western blot assay. Both KIF2A mRNA and protein expressions were increased in A549, NCI-H650, NCI-H358, NCI-H2106, NCI-H1299, NCI-H1650 and NCI-H1975 cells compared with BEAS-2B cells. KIF2A knockdown inhibited proliferation, invasion, EMT, stemness, but enhanced chemosensitivity to cisplatin and paclitaxel in both A549 and NCI-H1975 cells. Meanwhile, it only promoted apoptosis in NCI-H1975 cells but not in A549 cells. Moreover, after KIF2A knocking down, RNA-seq data indicated that 356 accordant differentially expressed genes (DEGs) in both A549 and NCI-H1975 cells, and these DEGs were enriched in PI3K-Akt, Wnt and Notch signaling pathways. Further western blot disclosed that KIF2A knockdown indeed inactivated PI3K-Akt, Wnt and Notch signaling pathways in both A549 and NCI-H1975 cells. In conclusion, KIF2A knockdown suppresses NSCLC cell malignant behaviors, EMT and stemness, but enhances chemosensitivity via inactivating PI3K-Akt, Wnt, and Notch signaling pathways, which proposes it as a potential therapeutic target for NSCLC treatment.

Benefit of adjuvant chemotherapy for patients with stage IB non-small cell lung cancer: a systematic review and meta-analysis.

BACKGROUND: Adjuvant chemotherapy (ACT) is routinely the recommended treatment for patients with advanced non-small cell lung cancer (NSCLC) but remains a controversial option in stage IB patients. We therefore pooled the current evidence to determine the prognostic impact of ACT in stage IB NSCLC patients in the context of the eighth tumor, node, metastasis (TNM) staging system. METHODS: Five electronic databases were searched for eligible studies up to December 2020 without language restrictions. The primary and secondary outcomes were overall survival (OS) and disease-free survival (DFS). Search results were filtered by a set of eligibility criteria and analyzed in line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The risk of bias was assessed independently using a modified set. Stata 16.0 was used for general data analysis and meta-analysis, and subgroup analyses were performed to investigate the source of interstudy heterogeneity. RESULTS: In all, 12 eligible studies were identified and 15,678 patients included. Our results demonstrated that ACT was associated with improved OS [n=11; hazard ratio (HR) =0.65; 95% confidence interval (CI): 0.60-0.70; P<0.001; I2=33.4%, P=0.131] and DFS (n=9; HR =0.73; 95% CI: 0.63-0.83; P<0.001; I2=66.7%, P=0.002) in stage IB NSCLC patients. Subgroup analysis by histology indicated that administration of ACT conferred more favorable survival to both stage IB squamous cell carcinoma (n=1; HR =0.56; 95% CI: 0.28-0.84; P<0.001) and adenocarcinoma (n=6; HR =0.59; 95% CI: 0.47-0.71; P<0.001; I2=31.0%, P=0.203). Meanwhile, both platinum-based ACT (n=7; HR =0.62; 95% CI: 0.51-0.74; P<0.001; I2=44.8%, P=0.093) and other regimens (n=2; HR =0.66; 95% CI: 0.61-0.72; P<0.001; I2=0.7%, P=0.316) could benefit patients with stage IB disease. DISCUSSION: ACT might provide survival benefits to patients with stage IB NSCLC irrespective of histology or regimens. Patient selection and time trend biases were inevitable due to the limitation of retrospective studies. More prospective studies should be initiated to investigate the optimal ACT regimens in different histologic types in stage IB NSCLC patients.

Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study.

BACKGROUND: We aim to assess the prognostic ability of three common lymph node-based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC). METHODS: A total of 3902 ESCC patients treated at 10 Chinese institutions between 2003 and 2013 were included, along with 2465 patients from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic ability of the aforementioned algorithms was evaluated using time-dependent receiver operating characteristic (tdROC) curves, R 2, Harrell's concordance index (C-index), and the likelihood ratio chi-square score. The primary outcomes included cancer-specific survival (CSS), overall survival (OS), and CSS with a competing risk of death by non-ESCC causes. RESULTS: LODDS had better prognostic performance than pN or LNR in both continuous and stratified patterns. In the multicenter cohort, the multivariate analysis showed that the model based on LODDS classification was superior to the others in predictive accuracy and discriminatory capacity. Two nomograms integrating LODDS classification and other clinicopathological risk factors associated with OS as well as cancer-specific mortality were constructed and validated in the SEER database. Finally, a novel TNLODDS classification which incorporates the LODDS classification was built and categorized patients in to three new stages. CONCLUSION: Among the three lymph node-based staging algorithms, LODDS demonstrated the highest discriminative capacity and prognostic accuracy for ESCC patients. The nomograms and novel TNLODDS classification based on LODDS classification could serve as precise evaluation tools to assist clinicians in estimating the survival time of individual patients and improving clinical outcomes postoperatively in the future.

Nomogram for the prediction of individualized overall survival of patients diagnosed with small cell esophageal carcinoma.

BACKGROUND: A nomogram was developed for the estimation of individualized overall survival (OS) of patients diagnosed with small cell esophageal carcinoma (SCEC). METHODS: From the SEER dataset, 427 patients diagnosed with SCEC during the period from 2004 to 2015 were selected as training sets. For the establishment of a nomogram capable of estimating the OS possibility of patients diagnosed with SCEC, a group of independent prognostic factors were identified and incorporated. The effectiveness of the nomogram was then both externally and internally verified among 159 patients from Fudan University Shanghai Cancer Center (FUSCC) who were diagnosed with SCEC between 2006 and 2015. The predictive accuracy and discriminative ability of the nomogram were measured by concordance index (C-index). Comparisons between nomogram and the AJCC staging systems (6th and 7th) were performed with calibration plots and area under the curves (AUC) values. RESULTS: We identified age, gender, primary site, SEER stage, surgery, radiotherapy, and chemotherapy as seven independent risk factors which were then used to set up the nomogram. Calibration curves indicated that the prediction of the nomogram was consistent with real observations for the possibilities of 1-, 3-, and 5-year OS, and applying the nomogram to the cohort for validation led to reproducible results. Moreover, the C-indices and AUC values were higher in the nomogram than those in the AJCC staging system AJCC which is also aimed at the prediction of OS. CONCLUSIONS: This study resulted in the establishment of the first nomogram for the prediction of individualized OS of patients diagnosed with SCEC. The accuracy rate of prediction of this model may be higher than previously established staging systems.

A Comparative Analysis of the Gene Expression Profiles of Small Cell Esophageal Carcinoma, Small Cell Lung Cancer, and Esophageal Adeno/Squamous Carcinoma.

Purpose/objectives: Primary small cell esophageal carcinoma (SCEC) is a rare malignancy without an established treatment strategy. This study investigated the gene expression profile of SCEC and compared it with the expression profiles of small cell lung cancer (SCLC) and esophageal adeno/squamous carcinoma (EAC/ESCC). Materials/methods: All patients with SCEC, SCLC, and EAC/ESCC in the Surveillance, Epidemiology, and End Results (SEER) database 1973-2014 were included. Overall survival (OS) and prognostic analysis were conducted. De novo expression array analysis was performed on three pairs of frozen primary SCEC tissues and the corresponding normal samples from the institutional tissue bank using the Affymetrix HG U133 plus 2.0 Array. These data were complemented with public domain expression data sets from the Gene Expression Omnibus (GEO) repository using the same working platforms, which included primary SCLC, EAC/ESCC, and normal lung/esophagus specimens (series GSE30219 and GSE26886). After individual normalization, the primary tumors were submitted to statistical analysis (GeneSpring GX 13.0) to identify the differentially expressed genes (DEGs) relative to their paired normal tissues. Enrichments of genes categorized by function and gene interactions were analyzed by DAVID 6.8 and STRING 11.0, respectively. Results: The clinical outcomes of the patients with SCEC were significantly more worse than those with EAC/ESCC and SCLC in the SEER database. SCEC had more DEGs in common with SCLC than EAC/ESCC [829 vs. 450; false discovery rate (FDR) < 0.01; and fold change ≥2], leading to a stronger correlation between SCEC and SCLC (Pearson's correlation coefficient was 0.60 for SCEC vs. SCLC, 0.51 or 0.45 for SCEC vs. ESCC or EAC, and the coefficient was 0.73 for ESCC vs. EAC). Similar findings were obtained by principal component analysis (PCA) using all DEGs retrieved from these four groups. Functional annotation showed that a higher proportion of pathways and biological processes were common between SCEC and SCLC and were associated with the cell cycle (mitosis), DNA replication, telomere maintenance, DNA repair, and P53 and RB pathways (Benjamini p < 0.05). Compared with EAC/ESCC, SCEC shared more co-upregulated DEGs coding for the aforementioned common pathways with SCLC (584 vs. 155). In addition, SCEC and SCLC were found to have possessed overlapping gene-interactive networks, with centromere protein F (CENPF), never in mitosis gene A-related kinase 2 ( NEK2), kinesin family member 11 (KIF11), thymopoietin (TMPO), and forkhead box protein M1 (FOXM1) as common skeletons centered by gene regulatory network (NUF2). Conclusions: This study is the first attempt to examine the genomic signatures of SCEC at the transcriptomic level and compare the expression profiles between SCEC, SCLC, and EAC/ESCC. Our preliminary data indicate that SCEC and SCLC display notably similar patterns of gene expression for mitosis and DNA repair. Further validation studies are warranted.

Identification of a EML4-ALK exon 19 fusion variant in lung adenocarcinoma and alectinib resistance.

Alectinib, a highly selective inhibitor of anaplastic lymphoma kinase (ALK), has shown a high response rate and long progression-free survival in primary treatment of ALK-positive non-small-cell lung cancer (NSCLC). De novo resistance or refractory subtype is rare event. Herein, we identify the first case with serial next-generation sequencing (NGS) results that harboured a rare echinoderm microtubule associated protein like 4 gene (EML4) -ALK (breaking site at exon 19) fusion in a lung adenocarcinoma (LUAD) patient who acquired alectinib resistance rapidly (less than 3 months), followed by multi-drug resistance and short survival time.

Extracapsular lymph node involvement is a robust survival predictor in esophageal cancer patients: A pooled analysis.

BACKGROUND: Although extracapsular lymph node involvement (EC-LNI) has been proposed to be incorporated into the staging system of esophageal cancer, the prognostic value of EC-LNI remains controversial with conflicting data available, especially in the era of neoadjuvant therapy. METHODS: An electronic literature search was undertaken using four public databases. Studies investigating the effects of EC-LNI on survival were included. In addition to analysis of the entire cohort, subset analyses were also performed to assess the impact of EC-LNI on patients receiving different treatment modalities. RESULTS: A total of 20 studies were included in this meta-analysis. Pooling 13 studies on overall survival (OS), we observed that presence of EC-LNI was associated with significantly worse OS (HR = 2.09, 95%CI: 1.63-2.68; p < 0.01). Nine studies describing disease-free survival (DFS) included, the pooled data revealed that presence of EC-LNI was associated with significantly worse DFS (HR = 1.89, 95%CI: 1.63-2.20; p < 0.001). Subset analyses of patients receiving neoadjuvant therapy demonstrated a survival disadvantage of EC-LNI on OS (HR = 1.928, 95%CI: 1.196-3.107; p = 0.007) and DFS (HR = 1.985, 95%CI: 1.585-2.487; p < 0.001). Similar result was also seen in patients receiving primary surgery (OS: HR = 2.219, 95%CI: 1.720-2.864; p < 0.001; DFS: HR = 1.659, 95%CI: 1.285-2.141; p < 0.001). CONCLUSION: EC-LNI is a strong prognostic predictor of inferior survival in patients with esophageal cancer irrespective of treatment modality. The currently pooled evidence indicates that EC-LNI has great potential to be incorporated into the future staging system.

Prognostic Value of an Immunohistochemical Signature in Patients With Bladder Cancer Undergoing Radical Cystectomy.

BACKGROUND: This study aimed to assess the prognostic value of various diagnostic immunohistochemical (IHC) markers and develop an IHC-based classifier to predict the disease-free survival (DFS) of patients with bladder cancer undergoing radical cystectomy. METHODS: IHC was performed on tumor specimens from 366 patients with transitional cell bladder cancer. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to develop a multi-marker classifier for predicting DFS of patients with bladder cancer. The Kaplan-Meier estimate was performed to assess DFS, and unadjusted and adjusted Cox regression models were used to identify independent risk factors to predict DFS of patients with bladder cancer. RESULTS: Based on the LASSO Cox regression model, nine prognostic markers were identified in the training cohort. Patients were stratified into low- and high-risk groups using the IHC-based classifier. In the training cohort, the 10-year DFS was significantly better in low-risk patients (71%) compared with high-risk patients (18%) (p < 0.001); in the validation cohort, the 10-year DFS was 86% for the low-risk group and 20% for the high-risk group (p < 0.001). Multivariable Cox regression analyses showed that the high-risk group based on the classifier was associated with poorer DFS adjusted by clinicopathological characteristics. Finally, a nomogram comprising the classifier and clinicopathological factors was developed for clinical application. CONCLUSION: The nine-IHC-based classifier is a reliable prognostic tool, which can eventually guide clinical decision making regarding treatment strategy and follow-up scheduling of bladder cancer.

Choice of Treatment for Patients With Non-small-cell Lung Cancer >5 cm Between Surgery Alone and Surgery Plus Adjuvant Radiotherapy.

Background: According to the lung cancer staging project, T2b (>5-7 cm) and T3 (>7 cm) non-small cell lung cancers (NSCLC) should be reclassified into T3 and T4 groups. The objective of this study was to evaluate the effect of surgery alone or surgery plus adjuvant radiation (SART) on survival of node-negative patients with NSCLC >5 cm. Methods: We identified 4557 N0 patients with NSCLC >5 cm in the Surveillance, Epidemiology, and End Results database from 2004 to 2014. Overall survival (OS) and cancer-specific survival (CSS) were compared among patients who underwent surgery alone and SART. The proportional hazards model was applied to evaluate multiple prognostic factors. Results: 1,042 and 525 patients who underwent surgery alone and SART, respectively were enrolled after propensity-score matching. OS and CSS favored surgery alone rather than SART. Multivariate analysis showed that the number of lymph nodes examined more than six was associated with better OS and CSS for NSCLC >5 cm, especially in patients treated with surgery alone. Lobectomy should be recommended as the primary option for NSCLC >5 to 7 cm, whereas its superiority was not significant over sublobectomy for NSCLC >7 cm. Conclusion: Surgery alone should be recommended as the first choice for patients with NSCLC >5 cm. The number of examined lymph nodes should be more than six in patients with NSCLC >5 cm, especially for those who undergo surgery alone. For patients with NSCLC >7 cm who could not tolerate lobectomy, sublobectomy might be an alternative surgical procedure.

Comprehensive analysis of prognostic value of lymph node staging classifications in patients with head and neck squamous cell carcinoma after cervical lymph node dissection.

PURPOSE: To determine the optimal threshold of examined lymph node (ELN) number from cervical lymph node dissection for head and neck squamous cell carcinoma (HNSCC). Further to compare the prognostic value of multiple lymph node classification systems and to determine the most suitable scheme to predict survival. METHODS: A total of 20991 HNSCC patients were included. Odds ratios (ORs) for negative-to-positive node stage migration and hazard ratios (HRs) for survival were fitted using the LOWESS smoother. Structural breakpoints were determined by the Chow test. The R square, C-index, likelihood ratio, and Akaike information criterion (AIC) were used to compare the prognostic abilities among AJCC N stage, number of positive lymph nodes (pN), positive lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS) stages. RESULTS: A minimal threshold ELN number of fifteen had the discriminatory capacities for both stage migration and survival. LODDS stages had the highest R square value (0.208), C-index (0.736) and likelihood ratio (2467) and the smallest AIC value (65874). LODDS stages also showed prognostic value in estimating patients with AJCC N0 stage. A novel staging system was proposed and showed good prognostic performance when stratified by different primary sites. CONCLUSION: Fifteen lymph nodes should be examined for HNSCC patients. LODDS stage allows better prognostic stratification, especially in N0 stage. The proposed staging system may serve as precise evaluation tools to estimate postoperative prognoses.

Impact of the Extent of Lymph Node Dissection on Precise Staging and Survival in Clinical I-II Pure-Solid Lung Cancer Undergoing Lobectomy.

BACKGROUND: This study sought to determine the optimal number of examined lymph nodes (ELNs) and examined node stations (ENSs) in patients with radiologically pure-solid non-small cell lung cancer (NSCLC) who underwent lobectomy and ipsilateral lymphadenectomy by investigating the impact of ELNs and ENSs on accurate staging and long-term survival. MATERIALS AND METHODS: Data from 6 institutions in China on resected clinical stage I-II (cI-II) NSCLCs presenting as pure-solid tumors were analyzed for the impact of ELNs and ENSs on nodal upstaging, stage migration, recurrence-free survival (RFS), and overall survival (OS). Correlations between different endpoints and ELNs or ENSs were fitted with a LOWESS smoother, and the structural break points were determined by Chow test. RESULTS: Both ELNs and ENSs were identified as independent prognostic factors for OS (ENS hazard ratio [HR], 0.690; 95% CI, 0.597-0.797; P<.001; ELN HR, 0.950; 95% CI, 0.917-0.983; P=.004) and RFS (ENS HR, 0.859; 95% CI, 0.793-0.931; P<.001; ELN HR, 0.960; 95% CI, 0.942-0.962; P<.001), which were also associated with postoperative nodal upstaging (ENS odds ratio [OR], 1.057; 95% CI, 1.002-1.187; P=.004; ELN OR, 1.186; 95% CI, 1.148-1.226; P<.001). A greater number of ELNs and ENSs correlated with a higher accuracy of nodal staging and a lower probability of stage migration. Cut-point analysis revealed an optimal cutoff of 18 LNs and 6 node stations for stage cI-II pure-solid NSCLCs, which were validated in our multi-institutional cohort. CONCLUSIONS: Extensive examination of LNs and node stations seemed crucial to predicting accurate staging and survival outcomes. A threshold of 18 LNs and 6 node stations might be considered for evaluating the quality of LN examination in patients with stage cI-II radiologically pure-solid NSCLCs.

Proposal of organ-specific subdivision of M component and staging system for metastatic pulmonary neuroendocrine tumor.

OBJECTIVES: To evaluate the prognostic significance of patterns of distant metastatic organs in metastatic pulmonary neuroendocrine tumors (PNETs). METHODS: 891 metastatic PNETs patients (G1-typical carcinoid, 200; G2-atypical carcinoid, 68; G3-large-cell neuroendocrine carcinoma, 623) diagnosed between 2010 and 2016 were identified. Multivariate analysis was performed using a Cox regression model to identify prognostic factors associated with cancer-specific survival (CSS). The novel M component was established based on the hazard ratio of different metastatic organs. A disease-specific staging system was then proposed by using k-means cluster analysis. RESULTS: For metastatic PNETs, involvement of bone, liver or brain and multiple metastatic organs were identified as independent prognostic factors in multivariate analysis. M categories was subdivided into three subcategories: M1a, lung involvement only or distant lymph node involvement only; M1b, bone involvement only or liver involvement only; M1c, brain involvement regardless of number of metastatic organs or multiple organs involvement except brain. Primary site surgery, chemotherapy and histologic subtypes were independently associated with CSS, but T component and N component were not. After regrouping histologic subtypes and novel M component, we proposed the following modified staging system: stage IVA (G1M1any, G2M1a-b), stage IVB (G2M1c, G3M1a-b) and stage IVC (G3M1c). The 2-year CSS were 77.9 %, 16.4 % and 5.3 %. CONCLUSIONS: Subdivision of M component according to patterns of distant metastatic organs facilitates prognostic significance for PNETs. Brain metastases and multiple metastatic organs were associated with significantly inferior prognosis. Incorporating histologic subtypes and novel M categories create a disease-specific staging system showed good discriminatory capacity.

Comparison of sublobar resection and lobectomy for patients with small (≤2cm) second primary non-small-cell lung cancer.

BACKGROUND: This study aimed to investigate whether sublobar resection (SR) is equivalent to lobectomy for small (≤ 2 cm) second primary lung cancer (SPLC). METHODS: We identified 834 patients with T1aN0M0 SPLC from the Surveillance, Epidemiology, and End Results (SEER) database during 2000-2016. Overall survival (OS) was compared between lobectomy and SR after propensity-score matching. A total of 228 patients with SPLC were identified from three institutions in China as the validation set. RESULTS: SR was an independent risk factor for patients with 1 to 2 cm SPLC (SR vs Lob: hazard ratio [HR], 1.593; 95% confidence interval [CI], 1.186-2.141; P = .002) but not for patients with SPLC ≤ 1 cm (SR vs Lob: HR, 1.206; 95% CI, 0.790-1.841; P = .385). Subgroup analysis on the SEER data indicated that OS favored lobectomy compared with SR for contralateral SPLC ≤ 2 cm but not for ipsilateral ones (ipsilateral: P = .692; contralateral: P = .030). Our multi-institutional data also revealed that SR was equivalent to lobectomy for patients with ≤2 cm ipsilateral SPLC. CONCLUSIONS: SR is equivalent to lobectomy for SPLC ≤ 1 cm but not for SPLC > 1 to 2 cm. SR might be recommended for patients with ipsilateral small SPLC considering the difficulty in reoperations.

Metastasis Patterns and Prognosis of Octogenarians with NSCLC: A Population-based Study.

Non-small cell lung cancer (NSCLC) is the most common cancer and the leading cause of cancer-related deaths worldwide. Age at diagnosis of advanced NSCLC is much older, but studies describing the practice patterns for octogenarians with distant metastasis NSCLC are limited. A retrospective, population-based study using national representative data from the Surveillance, Epidemiology, and End Results (SEER) program was conducted to evaluate 34 882 NSCLC patients with extrathoracic metastases from 2010 to 2013. Patients were classified into three groups (older group: ≥80 yrs, middle-aged group: 60-79 yrs, and younger group: ≤59 yrs). The role of different age at diagnosis of NSCLC in metastasis patterns was investigated, and survival of different age groups of metastatic NSCLC was assessed. The analysis revealed that older patients were more likely to only have bone or liver metastasis (p< 0.001), but less likely to have brain only metastasis (p<0.001) and multiple metastatic sites (p< 0.001) than other two groups. Age at diagnosis was an independent risk factor for different metastasis types. Older group had the worst overall survival (p<0.001) and cancer-specific survival (p<0.001). Furthermore, older age patients with only bone metastasis had the best cancer specific survival (p<0.05) while younger patients with only brain metastasis had the best prognosis (p<0.001). Over 60% octogenarians with metastatic NSCLC did not receive anti-cancer therapy and had the highest rate of cancer deaths among all patients. Our results may help clinicians make positive decisions regarding personalized treatment of metastatic NSCLC in the elderly.

Significance of TIM-3 Expression in Resected Esophageal Squamous Cell Carcinoma.

BACKGROUND: T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) is a promising checkpoint. However, its features and prognostic value remain undetermined in esophageal squamous cell carcinoma (ESCC). This study evaluated the prognostic value of TIM-3 expression and its relationship with programmed cell death 1 (PD-1) and CD8+ tumor-infiltrating lymphocytes (TILs) in patients with surgically resected ESCC. METHODS: Expression levels of TIM-3, PD-1, and CD8+ TILs in ESCC were determined by immunohistochemistry. The association between clinicopathologic features or clinical outcomes and TIM-3 expression was analyzed. RESULTS: A total of 183 patients with ESCC who had undergone esophagectomy without implementation of neoadjuvant therapy at the Second Affiliated Hospital of Soochow University in Suzhou, China from January 2009 to December 2014 were included. PD-1 positivity (P = .032) and high CD8+ TIL density (P = .035) significantly correlated with positive TIM-3 expression. TIM-3 positivity was an independent risk factor for recurrence-free survival (RFS) (P < .001) and overall survival (OS) (P < .001). Subgroup analysis revealed that the TIM-3+PD-1+CD8 low group had the worst RFS and OS, whereas the TIM-3-PD-1-CD8 high group had the best RFS and OS (RFS: log-rank test P < .001; OS: log-rank test P < .001). CONCLUSIONS: Positive TIM-3 expression was associated with PD-1 positivity and high CD8+ TIL density and was an independent risk factor for RFS and OS in ESCC. Furthermore, the combination of TIM-3 and PD-1 expression or CD8+ TIL density could further stratify patients into different groups with distinct prognosis.

Numbers and Stations: Impact of Examined Lymph Node on Precise Staging and Survival of Radiologically Pure-Solid NSCLC: A Multi-Institutional Study.

OBJECTIVES: To determine the optimal number of examined lymph nodes (ELNs) and examined node stations (ENSs) in patients with radiologically pure-solid NSCLC and to investigate the impact of ELNs and ENSs on accurate staging and long-term survival. METHODS: Data from six institutions in the People's Republic of China on resected c-stage Ⅰ to Ⅱ NSCLCs presenting as pure-solid tumors were analyzed for the impact of ELNs and ENSs on nodal upstaging, stage migration, recurrence-free survival, and overall survival by using multivariate models. The correlations between different end points and ELNs or ENSs were fitted with a smoother (using Locally Weighted Scatterplot Smoothing tool), and the structural break points were determined by the Chow test. RESULTS: Both ELNs and ENSs were identified as prognostic factors for overall survival (ENS: hazard ratio [HR], 0.697; 95% confidence interval [CI]: 0.590-0.824; p < 0.001; ELN: HR, 0.945; 95% CI: 0.909-0.983; p = 0.005) and recurrence-free survival (ENS: HR, 0.863; 95% CI: 0.791-0.941; p = 0.001; ELN: HR, 0.960; 95% CI: 0.938-0.981; p < 0.001). Intraoperative ELNs and ENSs were found to be associated with postoperative nodal upstaging. Cut point analysis revealed an optimal cutoff of 16 LNs and five node stations for patients with c-stage Ⅰ to Ⅱ pure-solid NSCLCs, which were examined in our multi-institutional cohort. CONCLUSIONS: Both ELNs and ENSs are associated with more accurate node staging and better long-term survival. We recommend 16 LNs and five stations as the cut point for evaluating the quality of LN examination for c-stage Ⅰ to Ⅱ patients with radiologically pure-solid NSCLCs.