Cytoplasmic and nuclear parathyroid hormone-related proteins are opposing prognostic factors in patients with non-small-cell lung cancer who have undergone curative resection

High Expression of Parathyroid Hormone-related Protein and Tumor Necrosis Factor-α in Cancer Cells as Risk Factors for Hypercalcemia in Bone Metastases Lytic Lesions

BACKGROUND: Cancer mortality is more commonly due to metastases of the tumor to other organs and the complications that accompany it than the tumor growth itself. Until recently, metastasis has been an insurmountable problem. AIM: As the most frequent site of metastases, apart from the lungs and liver, tumor metastases to bone are associated with hypercalcemia which is fatal for the affected patient. METHODS: This study used a case-control study design. The case group consisted of paraffin block samples derived from bone metastatic cancer cell biopsies of patients with hypercalcemic lytic lesions. The control group consisted of paraffin block samples derived from bone metastatic cancer cell biopsies of patients with non-hypercalcemic lytic lesions. Radiological examination was performed to examine the presence of lytic lesions, followed by data collection of serum calcium levels. The data obtained from the histopathological examination was confirmed along with the availability of paraffin blocks of bone metastasis cancer cell biopsy samples, and immunohistochemical analysis was performed to determine the expression of tumor necrosis factor-α _(TNF-α) and parathyroid hormone-related protein (PTHrP). A Mann–Whitney test was performed to determine the expression of TNF-α _and PTHrP between hypercalcemia and non-hypercalcemia groups. To identify the cut-off point, Youden index on receiver operating characteristic was used, then the optimal cut-off point was determined where the sensitivity and specificity curves intersect. Analysis of risk factor assessment was done by creating a 2 × 2 cross-tabulations and calculating the association size in the form of odds ratio (OR). RESULTS: The expression of PTHrP and TNF-α _in the case group was significantly different from the control group with p < 0.05. The cut-off point for PTHrP expression was 267.5 with an area under the curve of 0.93, indicating a high accuracy value. The cut-off point for TNF-α _expression was 227.5 with an area under the curve of 0.68, indicating a moderate accuracy value. The OR between hypercalcemia and non-hypercalcemia to PTHrP expression was 110.3 (Fisher’s exact statistical test obtained p < 0.05), while the OR between hypercalcemia and non-hypercalcemia to TNF-α _expression was 7.27 (Fisher’s exact test statistical obtained p = 0.01). CONCLUSION: Significant differences in the expression of PTHrP and TNF-α _were found between patients with bone metastases lytic lesions with hypercalcemia compared to those without hypercalcemia. We can conclude that either a high level of PTHrP expression and/or TNF-α _expression in cancer cells can serve as risk factors for hypercalcemia in patients with bone metastatic lytic lesions.

Significance of p53, p27, Ki-67, E-cadherin, and HER2 expression in upper urinary tract urothelial carcinoma

BACKGROUND

The study investigated the expression and the clinicopathological significance of p53, p27, Ki-67, E-cadherin, and HER2 in upper urinary tract urothelial carcinomas (UTUC) from Tunisian patients. We performed a retrospective study of 66 UTUC. Main clinicopathological features were reported. The expression of p53, p27, Ki-67, E-cadherin, and HER2 was investigated by immunohistochemistry on whole tissue section.

RESULTS

Expression of p53, Ki-67, p27, E-cadherin, and HERE2 was reported in 36.4%, 69.7%, 90.9%, 100%, and 0% of cases, respectively. p53 expression was associated with stage (p = 0.001), positive surgical margin (p = 0.005), and shorter recurrence-free survival (RFS; Log Rank test, p = 0.026). Ki-67 and p27 expression was associated with stage (p < 0.001 and p = 0.001, respectively) and grade (p < 0.001 and p = 0.001, respectively). Using Kaplan-Meier test, the positive surgical margin was associated with shorter RFS compared to free surgical margin (Log Rank test, p = 0.031). Moreover, in univariate Cox regression analysis, surgical margin (p = 0.041; HR 0.325, 95% CI 0.110-0.956) and p53 expression (p = 0.035; HR 0.328, 95% CI 0.116-0.925) were the significant factors associated with RFS.

CONCLUSIONS

Together, our findings suggest that positive surgical margin and p53 expression were potential prognostic factors of UTUC since both were associated with shorter RFS in Tunisian patients.

Establishment of a serological molecular model for the early diagnosis and progression monitoring of bone metastasis in lung cancer

Background

The prognosis is very poor for lung cancer patients with bone metastasis. Unfortunately, a suitable method has yet to become available for the early diagnosis of bone metastasis in lung cancer patients. The present work describes an attempt to develop a novel model for the early identification of lung cancer patients with bone metastasis risk.

Methods

As the test group, 205 primary lung cancer patients were recruited, of which 127 patients had bone metastasis; the other 78 patients without bone metastasis were set as the negative control. Additionally, 106 healthy volunteers were enrolled as the normal control. Serum levels of several cytokines in the bone microenvironment (CaN, OPG, PTHrP, and IL-6) and bone turnover markers (tP1NP, β-CTx) were detected in all samples by ECLIA or ELISA assay. Receiver operating characteristic (ROC) curves and multivariate analyses were performed to evaluate diagnostic abilities and to assess the attributable risk of bone metastasis for each of these indicators; the diagnostic model was established via logistic regression analysis. The prospective validation group consisted of 44 patients with stage IV primary lung cancer on whom a follow-up of at least 2 years was conducted, during which serum bone biochemical marker concentrations were monitored.

Results

The serological molecular model for the diagnosis of bone metastasis was logit (p). ROC analysis showed that when logit (p) > 0.452, the area under curve of the model was 0.939 (sensitivity: 85.8%, specificity: 89.7%). Model validation demonstrated accuracy with a high degree of consistency (specificity: 85.7%, specificity: 87.5%, Kappa: 0.770). The average predictive time for bone metastasis occurrence of the model was 9.46 months earlier than that of the bone scan diagnosis. Serum OPG, PTHrP, tP1NP, β-CTx, and the diagnostic model logit (p) were all positively correlated with bone metastasis progression (P < 0.05).

Conclusions

This diagnostic model has the potential to be a simple, non-invasive, and sensitive tool for diagnosing the occurrence and monitoring the progression of bone metastasis in patients with lung cancer.