Clinicopathological and prognostic significance of thyroid transcription factor-1 expression in small cell lung cancer: A systemic review and meta-analysis

Clinical significances of TTF-1, neuroendocrine (chromogranin, synaptophysin, CD56), and keratin (pancytokeratin, CK7, CK5/6) marker immunostaining in small cell lung cancer

PURPOSE

Immunohistochemistry (IHC) markers have established a role in the pathological diagnosis of small cell lung cancer (SCLC) and especially neuroendocrine markers help to differentiate SCLC from other tumors. The study aimed to evaluate the clinical role of different IHC markers in SCLC patients.

METHODS

A total of 378 SCLC patients were enrolled in the study and analyzed retrospectively. TTF-1, neuroendocrine markers (chromogranin, synaptophysin, and CD56), and keratin markers (pancytokeratin, CK7 and CK5/6) were assessed.

RESULTS

CD56 had the highest expression (92.3%) followed by pancytokeratin (82.8%), TTF-1 (74.8%), synaptophysin (72.7%), chromogranin (55.6%), CK7 (54.8%), and CK5/6 (9%). No differences were observed in the expression of all markers according to the stage of the disease. Extended disease SCLC (ED-SCLC) patients with synaptophysin expression had a higher response to chemotherapy compared to those without staining (p = 0.01); on the other hand, the chemotherapy response of these patients was not significantly different when they expressed CK7 (p = 0.06). Pancytokeratin expression was associated with favorable survival in both limited disease SCLC (LD-SCLC) (p = 0.02) and ED-SCLC (p = 0.005) patients. Similarly, ED-SCLC patients with CD56 staining lived longer than those without expression (p = 0.001). The lack of synaptophysin expression in LD-SCLC patients (p = 0.06) and TTF-1 expression in ED-SCLC patients (p = 0.06) were correlated with better survival rates.

CONCLUSION

We conclude that IHC markers, used frequently in the diagnosis of SCLC, might also be used in clinical decision-making, since they are correlated with predictive and prognostic factors for the disease.

GABPB1 plays a cancer-promoting role in non-small cell lung cancer

BACKGROUND

GABPB1, the gene that encodes two isoforms of the beta subunit of GABP, has been identified as an oncogene in multiple malignant tumors. However, the role and mode of action of GABPB1 in malignant tumors, especially in lung cancer, are not well understood and need further research.

METHODS

Our research focused on examining the biological function of GABPB1 in NSCLC (Non-Small Cell Lung Cancer). We analysed tumor data from public databases to assess the expression of GABPB1 in NSCLC  and its correlation with patient prognosis and investigated GABPB1 expression and methylation patterns in relation to the tumor microenvironment. In parallel, experiments were conducted using short hairpin RNA (shRNA) to suppress the GABPB1 gene in human lung cancer cells to evaluate the effects on cell proliferation, viability, and apoptosis.

RESULTS

GABPB1 was widely expressed in various tissues of the human body. Compared to that in normal tissues, the expression of this gene was different in multiple tumor tissues. GABPB1 was highly expressed in lung cancer tissues and cell lines. Its expression was associated with molecular subtype and cellular signalling pathways, and a high level of GABPB1 expression was related to a poor prognosis in lung adenocarcinoma patients. The expression and methylation of GABPB1 affect the tumor microenvironment. After suppressing the expression of GABPB1 in both A549 and H1299 cells, we found a decrease in cell growth and expression, the formation of clones and an increase in the apoptosis rate.

CONCLUSIONS

Our research verified that GABPB1 promotes the tumorigenesis of NSCLC and has an inhibitory effect on tumor immunity. The specific role of GABPB1 may vary among different pathological types of NSCLC. This molecule can serve as a prognostic indicator for lung adenocarcinoma, and its methylation may represent a potential breakthrough in treatment by altering the tumor immune microenvironment in lung squamous cell carcinoma. The role and mechanism of action of GABPB1 in NSCLC should be further explored.

Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer

BACKGROUND

The prognosis of SCLC is poor and difficult to predict. The aim of this study was to explore whether a model based on radiomics and clinical features could predict the prognosis of patients with limited-stage small cell lung cancer (LS-SCLC).

METHODS

Simulated positioning CT images and clinical features were retrospectively collected from 200 patients with histological diagnosis of LS-SCLC admitted between 2013 and 2021, which were randomly divided into the training (n = 140) and testing (n = 60) groups. Radiomics features were extracted from simulated positioning CT images, and the t-test and the least absolute shrinkage and selection operator (LASSO) were used to screen radiomics features. We then constructed radiomic score (RadScore) based on the filtered radiomics features. Clinical factors were analyzed using the Kaplan-Meier method. The Cox proportional hazards model was used for further analyses of possible prognostic features and clinical factors to build three models including a radiomic model, a clinical model, and a combined model including clinical factors and RadScore. When a model has prognostic predictive value (AUC > 0.7) in both train and test groups, a nomogram will be created. The performance of three models was evaluated using area under the receiver operating characteristic curve (AUC) and Kaplan-Meier analysis.

RESULTS

A total of 1037 features were extracted from simulated positioning CT images which were contrast enhanced CT of the chest. The combined model showed the best prediction, with very poor AUC for the radiomic model and the clinical model. The combined model of OS included 4 clinical features and RadScore, with AUCs of 0.71 and 0.70 in the training and test groups. The combined model of PFS included 4 clinical features and RadScore, with AUCs of 0.72 and 0.71 in the training and test groups. T stages, ProGRP and smoke status were the independent variables for OS in the combined model, whereas T stages, ProGRP and prophylactic cranial irradiation (PCI) were the independent factors for PFS. There was a statistically significant difference between the low- and high-risk groups in the combined model of OS (training group, p < 0.0001; testing group, p = 0.0269) and PFS (training group, p < 0.0001; testing group, p < 0.0001).

CONCLUSION

Combined models involved RadScore and clinical factors can predict prognosis in LS-SCLC and show better performance than individual radiomics and clinical models.

Expression and Clinicopathological Significance of SOX11 in Small-Cell Lung Cancer

Objective

This study aims to investigate the expression of neuronal transcription factor SOX11 in small-cell lung cancer (SCLC) and compare it with the expression of CD56 (nerve cell adhesion molecule), synaptophysin (Syn), chromogranin A (CgA), and thyroid transcription factor-1 (TTF-1) to explore the application value of SOX11 in the pathological diagnosis of SCLC.

Methods

Immunohistochemical methods were used to detect the expression of SOX11, TTF-1, CD56, Syn, and CgA in 120 lung tumor tissues, and experimental results were analyzed using SPSS23.0 statistical software.

Results

Immunohistochemical results showed that in the 120 lung tumor samples, SOX11 was highly expressed in SCLC and localized to the nucleus, with low or no expression in control carcinoid/lung neuroendocrine tumors, lung adenocarcinomas, and lung squamous cell carcinomas. Statistical analysis results revealed the following points. First, the expression of SOX11 was closely related to the tumor histological type. The expression of SOX11 in SCLC (positive rate of 63.33%) was significantly higher than that in carcinoid/neuroendocrine tumors (positive rate of 12.50%), lung adenocarcinoma (positive rate of 0%), and lung squamous cell carcinoma (positive rate of 0%). Second, immunohistochemical investigation of 60 SCLC cases revealed that the highest positive rates of CD56, TTF-1, and Syn, respectively, were 93.33 percent, 95 percent, and 86.67 percent. SOX11 also exhibited high sensitivity (0.633) and specificity (0.875) in SCLC. The positive rates of SOX11 and CgA were 63.33% and 50.00%, respectively. Statistical results revealed that the positive rate of CgA had no significant difference (P > 0.05). Lastly, the combined use of antibodies SOX11, CgA, CD56, Syn, and TTF-1 was more beneficial to improving the diagnosis rate of SCLC than the single use of one or two antibodies.

Conclusion

The expression of SOX11 in different histological types of lung tumors differs considerably. SOX11 is highly expressed in SCLC. SOX11 can be used as a beneficial supplement to the combination of classical neuroendocrine markers and in combination with CgA, CD56, Syn, and TTF-1 to assist in the diagnosis of SCLC.

[Analysis of Correlation between TTF-1 and Sensitivity to First-line Chemotherapy and Prognosis in Patients with Small Cell Lung Cancer]

背景与目的

甲状腺转录因子-1（thyroid transcription factor-1, TTF-1）在非小细胞肺癌中被广泛研究，被认为是非小细胞肺癌的独立预后因子，但TTF-1在小细胞肺癌（small cell lung cancer, SCLC）中的预后价值研究较少。本研究旨在探讨TTF-1的表达状态与SCLC患者一线化疗敏感性及预后的关系。

方法

回顾性分析2017年1月1日-2019年1月1日在青岛大学附属医院确诊并治疗的、一线应用以铂类为基础的化疗的SCLC患者234例，随访患者临床特征及治疗、生存情况，采用χ²检验及Logistic回归模型分析TTF-1的表达状况与化疗反应率的关系，Kaplan-Meier法和Cox比例风险回归模型分析TTF-1的表达对患者生存期的影响。

结果

234例患者中，TTF-1阳性表达188例（80.3%, 188/234），TTF-1阴性表达46例（19.7%, 46/234），TTF-1阳性患者一线化疗客观反应率（objective response rate, ORR）高于阴性患者（70.7% vs 47.8%）（χ²=8.681, P=0.003）。Logistic回归多因素分析显示，TTF-1的表达是一线化疗ORR的独立预测因素（OR=0.216, 95%CI: 0.076-0.615, P=0.004），但此差异仅体现在局限期SCLC（limited-stage SCLC, LS-SCLC）中。TTF-1阴性表达患者中位无进展生存期（progression free survival, PFS）6.9个月短于TTF-1阳性表达患者的9.0个月（χ²=9.357, P=0.002）。TTF-1阴性组患者中位总生存期（overall survival, OS）13.3个月短于TTF-1阳性组患者的20.1个月（χ²=12.082, P=0.001）。

结论

TTF-1表达状态为SCLC患者一线化疗反应率及生存的独立预测因素，可能成为预测SCLC治疗疗效及预后的生物标志物。

Prognostic immunohistochemical markers for small cell lung cancer: A review

BACKGROUND

Small Cell Lung Cancer (SCLC) is one of the most aggressive thoracic malignancies and has been very challenging in developing personalized medicine. While immunohistochemistry (IHC) markers have established role in pathology diagnosis of SCLC, it is particularly important to apply early and simple methods to effectively determine the prognosis. This study aimed to review and identify prognostic protein markers that have potential to be incorporated into clinical care for SCLC.

METHODS

we systematically reviewed PubMed, Embase, Web of Science and Cochrane Library until October 19th, 2019 that reported prognostic IHC markers in SCLC. In this review, we focused on markers evaluated in at least two independent studies to compile the most forthcoming prognostic markers.

RESULTS

According to their function in the tumor, including proliferation-related markers, growth suppression-related markers, invasion- and metastasis-related markers, apoptosis-related markers, angiogenesis-related markers, immune regulation-related markers. Extensive reports into informative tables based on sufficiencies of evidence were summarized as some easy-to-use literature reservoirs for further referring.

CONCLUSIONS

Strong evidence supports that the 24 emerging markers or their combinations may be useful in predicting prognosis, helping personalized therapy decision-making for SCLC patients.

Clinical Significance of PIK3CA Gene in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis

Aim

To explore the clinicopathological and prognostic role of PIK3CA gene mutation and expression in non-small-cell lung cancer (NSCLC) patients.

Methods

A systematic and comprehensive literature search was conducted through EMBASE (via OVID), Web of Science, and PubMed. Relative risks (RRs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to evaluate the relationship of the PIK3CA gene with clinicopathological parameters and the survival of NSCLC patients, respectively.

Results

A total of 13 studies involving 3908 patients were analyzed in our study. Only lymph node metastasis status had an association with PIK3CA mutation (RR = 2.823; 95% CI: 1.128-7.065; P = 0.029). The results indicated that PICK3CA mutation was related with overall survival (OS) (HR = 1.55; 95% CI: 1.13-2.13; P = 0.007), progression-free survival (PFS) (HR = 1.48; 95% CI: 1.06-2.08; P = 0.023), and cancer-specific survival (CSS) (HR = 2.63; 95% CI: 1.00-6.92; P = 0.005). Furthermore, PIK3CA high expression was more prevalent in NSCLC patients with smoking history (RR = 2.42; 95% CI: 1.04-5.61; P = 0.040). However, no significant relation between PIK3CA expression and OS was found (HR = 0.80; 95% CI: 0.58-1.12; P = 0.193).

Conclusion

PIK3CA mutation may affect lymph node metastasis and serve as a promising prognostic factor, and smoking may be related with PIK3CA high expression in NSCLC patients. However, more well-designed prospective researches are needed to verify the abovementioned findings.