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Objective: To investigate the diagnostic efficiency of conventional serum tumor markers and their combination with chest CT for stage ⅠA lung cancer. Methods: A total of 1 155 patients with stage ⅠA lung cancer and 200 patients with benign lung lesions (confirmed by surgery) treated at the Cancer Hospital, Chinese Academy of Medical Sciences from January 2016 to October 2020 were retrospectively enrolled in this study. Six conventional serum tumor markers [carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125), squamous cell carcinoma associated antigen (SCCA), cytokeratin 19 fragment (CYFRA21-1), neuron-specific enolase (NSE), and gastrin-releasing peptide precursor (ProGRP)] and chest thin-slice CT were performed on all patients one month before surgery. Pathology was taken as the gold standard to analyze the difference of positivity rates of tumor markers between the lung cancer group and the benign group, the moderate/poor differentiation group and the well differentiation group, the adenocarcinoma group and the squamous cell carcinoma group, the lepidic and non-lepidic predominant adenocarcinoma groups, the solid nodule group and the subsolid nodule group based on thin-slice CT, and subgroups of ⅠA1 to ⅠA3 lung cancers. The diagnostic performance of tumor markers and tumor markers combined with chest CT was analyzed using the receiver operating characteristic curve. Results: The positivity rates of six serum tumor markers in the lung cancer group and the benign group were 2.32%-20.08% and 0-13.64%, respectively; only the SCCA positivity rate in the lung cancer group was higher than that in the benign group (10.81% and 0, P =0.022). There were no significant differences in the positivity rates of other serum tumor markers between the two groups (all P >0.05). The combined detection of six tumor markers showed that the positivity rate of the lung cancer group was higher than that of the benign group (40.93% and 18.18%, P =0.004), and the positivity rate of the adenocarcinoma group was lower than that of the squamous cell carcinoma group (35.66% and 47.41%, P =0.045). The positivity rates in the poorly differentiated group and moderately differentiated group were higher than that in the well differentiated group (46.48%, 43.75% and 22.73%, P =0.025). The positivity rate in the non-lepidic adenocarcinoma group was higher than that in lepidic adenocarcinoma group (39.51% and 21.74%, P =0.001). The positivity rate of subsolid nodules was lower than that of solid nodules (30.01% vs 58.71%, P =0.038), and the positivity rates of stageⅠA1, ⅠA2 and ⅠA3 lung cancers were 33.33%, 48.96% and 69.23%, respectively, showing an increasing trend ( P =0.005). The sensitivity and specificity of the combined detection of six tumor markers in the diagnosis of stage ⅠA lung cancer were 74.00% and 56.30%, respectively, and the area under the curve (AUC) was 0.541. The sensitivity and specificity of the combined detection of six serum tumor markers with CT in the diagnosis of stage ⅠA lung cancer were 83.0% and 78.3%, respectively, and the AUC was 0.721. Conclusions: For stage ⅠA lung cancer, the positivity rates of commonly used clinical tumor markers are generally low. The combined detection of six markers can increase the positivity rate. The positivity rate of markers tends to be higher in poorly differentiated lung cancer, squamous cell carcinoma, or solid nodules. Tumor markers combined with thin-slice CT showed limited improvement in diagnostic efficiency for early lung cancer.

Background: Cancer stem cells (CSCs) are responsible for drug resistance, cancer relapse, and metastasis. Here, we report the first analysis of Palladin expression and its impacts on stem cell-like properties in lung cancer., Methods: Tissue microarrays were used to investigate Palladin expression and its association with prognosis. Immunofluorescence (IF), flow fluorescence assay, and Western blot were performed to detect Palladin expression in 6 NSCLC cell lines. Cell phenotypes and drug resistance were evaluated. Xenograft models were constructed to confirm the role of Palladin in vivo., Results: By using the tissue microarrays, Palladin was identified to be highly expressed in the cytoplasm, specifically in the cytomembrane of NSCLC, and its high expression is associated with poor prognosis. Palladin is widely expressed and enriched in the sphere cells. The in vitro and in vivo studies showed that Palladin promoted stem cell-like properties, including cell viability, invasion, migration, self-renewal abilities, taxol resistance, and tumorigenicity. Western blot revealed that Palladin promoted the accumulation of β-catenin and activated Wnt/β-catenin signaling. Tissue microarrays analysis further confirmed the positive correlation between Palladin and β-catenin. Wnt/β-catenin pathway inhibitor blocked the Palladin-induced enhancement of sphere-forming., Conclusions: Palladin might act as an oncogene by promoting CSCs-like properties and tumorigenicity of NSCLC cells via the Wnt/β-catenin signaling pathway. Besides, Palladin was identified to have the potential as a cell surface marker for LCSCs identification. These findings provide a possible target for developing putative agents targeted to LCSCs., (© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

One of the cardinal questions in tumor immunology is the identification of antigenic structures in human tumors that are recognized by host immune system. A powerful new methodology for identifying human tumor antigens eliciting humoral immune response is SEREX (serological identification of antigen by recombinant cDNA expression cloning). Here, by using this method, a recombinant cDNA expression library from lung cancer was analysed and several new tumor antigens were isolated. Using the lambda-ZAP vector, cDNA expression library was constructed from lung cancer tissues of three patients including a moderately differentiated lung adenocarcinoma, a highly differentiated lung squamous cell carcinoma and a moderately differentiated lung adeno-squamous carcinoma. The primary library consisted of 0.8 x 10(6) recombinants. 33 positive clones encoding antigen genes were obtained after immunoscreening, and the nucleotide sequences of cDNA inserts were determined and analysed with DNASIS and BLAST softwares in EMBL and GenBank. These antigen genes included known genes, such as MAGE (melanoma antigen gene), vitiligo-associated protein VIT-1, fibronectin, Na-K-ATPase et al and unknown genes or ESTs. To characterize expression profile of these genes, antibodies in sera from 48 lung cancer patients and 48 health donors were assayed with three antigens (L-8, L-19, L-51) to screen specific and relative serum markers for lung cancer. The results show that positive rates in lung cancer patients are higher than in health donors. Our research indicates that some of these antigens may be related to lung cancer and may be valuable tumor markers in diagnosis of lung cancer.