Lymphocyte percentage as a valuable predictor of prognosis in lung cancer

Lymphocytes and neutrophils are involved in the immune response against cancer. This study aimed to investigate the relationship between lymphocyte percentage/neutrophil percentage and the clinical characteristics of lung cancer patients, and to explore whether they could act as valuable predictors to ameliorate lung cancer prognosis. A total of 1312 patients were eligible to be recruited. Lymphocyte percentage and neutrophil percentage were classified based on their reference ranges. Survival curves were determined using Kaplan–Meier method, and univariate and multivariate cox regression analyses were performed to identify the significant predictors. Decision curve analysis was used to evaluate the clinical benefit. The results of both training and validation cohorts indicated that lymphocyte percentage exhibited high correlation with clinical characteristics and metastasis of lung cancer patients. Both lymphocyte percentage and neutrophil percentage were closely associated with survival status (all p < 0.0001). Low lymphocyte percentage could act as an indicator of poor prognosis; it offered a higher clinical benefit when combined with the clinical characteristic model. Our findings suggested that pretreatment lymphocyte percentage served as a reliable predictor of lung cancer prognosis, and it was also an accurate response indicator in lung adenocarcinoma and advanced lung cancer. Measurement of lymphocyte percentage improved the clinical utility of patient characteristics in predicting mortality of lung cancer patients.     

Gene expression profiling and clinical outcome in breast cancer

Pathologic and clinical heterogeneity of breast cancer reflects the poorly documented, complex, and combinatory molecular basis of the disease and is in part responsible for therapeutic failures. The DNA microarray technique allows the analysis of RNA expression of several thousands of genes simultaneously in a sample. There are multiple potential applications of the technique in cancer research. A number of recent studies have shown the promising role of gene expression profiling in breast cancer by identifying new prognostic subclasses unidentifiable by conventional parameters and new prognostic and/or predictive gene signatures, whose predictive impact is superior to conventional histoclinical prognostic factors. In this review we describe current use of DNA microarrays in the prognosis of breast cancer. We also discuss issues that need to be addressed in the near future to allow the method to reach its full potential.     

The prognostic impact of tumour NSD2 expression in advanced prostate cancer

Abstract

Purpose: To assess the prognostic significance of the nuclear receptor binding SET protein 2 (NSD2), a co-activator of the NFkB-pathway, on tumour progression in patients with advanced prostate cancer (PCa).

Methods: We retrospectively assessed NSD2 expression in 53 patients with metastatic and castration-resistant PCa. Immunohistochemical staining for NSD2 was carried out on specimen obtained from palliative resection of the prostate. Univariable and multivariable analyses were performed to assess the association between NSD2 expression and PCa progression.

Results: Of the 53 patients, 41 had castration-resistant PCa and 48 men had metastases at time of tissue acquisition. NSD2 expression was increased in tumour specimen from 42 patients (79.2%). In univariable Cox regression analyses, NSD2 expression was associated with PSA progression, progression on imaging and overall survival (p?=?0.04, respectively). In multivariable analyses, NSD2 expression did not retain its association with these endpoints.

Conclusions: NSD2 expression is abnormal in almost 80% of patients with advanced PCa. Expression levels of this epigenetic regulator are easily detected by immunohistochemistry while this biomarker exhibited prognostic value for PCa progression and death in univariable analysis. Further studies on NSD2 involvement in PCa proliferation, progression, metastasis and resistance mechanisms are needed.     

Cytomorphometric analysis of small cell neoplasms of the lung from specimens obtained via bronchoscopy.

Primary neoplasms of the lung composed of small cells consist of undifferentiated small cell carcinoma (UCS), carcinoid tumors (CT) and some non-small cell carcinomas (NonSC) that lack cytoplasmic differentiation. The cytologic identification of tumors from specimens obtained via bronchoscopy sometimes presents difficulties due to overlapping patterns. In order to define additional differentiating criteria, we evaluated Papanicolaou-stained smears from 30 histologically proven cases, 10 from each of the three groups, with statistical analysis of computer-assisted morphologic measures. We identified significant differences between NonSC versus USC and NonSC versus CT with regard to nuclear and cytoplasmic dimensions (P less than .0001) but not between USC and CT. The nuclear:cytoplasmic ratios were similar in all three groups (P = .39). From this preliminary study we conclude that morphometric analysis can distinguish NonSC from USC and CT but not USC from CT.     

Palatal length in cleft palate as a predictor of speech outcome

In an attempt to predict which patients might benefit from primary posterior pharyngeal flaps done at the time of palatal repair, palatal length was assessed before palatal repair and the patient was placed in one of four categories. Patients with longer palates preoperatively had statistically better speech outcomes than patients with shorter palates. Statistical significance was found for most speech parameters. Information on presurgical palatal length can be useful in predicting which patients might profit from primary "pharyngoplasties."     

Increased expression of matrix metalloproteinase-2 (MMP-2) predicts tumour recurrence and unfavourable outcome in non-small cell lung cancer

The purpose of this study was to analyse the expression of matrix metalloproteinase-2 (MMP-2) and its extracellular matrix metalloproteinase inducer (EMMPRIN) in non-small cell lung cancer (NSCLC), and to evaluate their significance to predict tumour behaviour. The study consists of 212 patients treated by the resection of the tumour. Tumour samples were stained immunohistochemically, and the expression of MMP-2 and EMMPRIN was evaluated both in tumour cells and in peritumoural stromal tissue. The results were compared with clinicopathological factors and survival of the patients. High expression of MMP-2 in tumour cells was found in 83 out of 191 cases (44%). Adenocarcinomas showed more often high expression of MMP-2 as compared with squamous cell or large cell carcinomas (p=0.001). High cancer cell associated MMP-2 expression was associated with increased tumour recurrence (p=0.001). Tumour stroma showed positive staining in 162 (98%) cases and was considered highly stained in 120 (72%) cases. The high stromal MMP-2 expression was noticed more often among large cell carcinomas as compared with other histological types (p=0.007). High cancer cell associated EMMPRIN expression was found in 115 (61%) cases and was associated only with high MMP-2 expression in tumour cells (p=0.006). In overall survival (OS) and disease free survival (DFS) analyses, type of tumour (p=0.001 and p=0.0004), advanced stage (p=0.001 and p=0.013) and high MMP-2 expression in tumour cells (p=0.018 and p=0.001) were associated with poor survival. Also, high stromal MMP-2 expression was related to poor outcome in both OS and DFS analyses (p=0.010 and 0.045, respectively). In multivariate analysis, stromal MMP-2 expression retained its prognostic value to predict OS and DFS (p=0.028 and p=0.039, respectively), together with tumour type and stage (p=0.017, p=0.001 and p=0.021, p=0.008, respectively). The present study shows the significant prognostic value of MMP-2 in NSCLC suggesting that the use of MMP-2 is valuable in determining the patients with more aggressive disease.     

MicroRNA expression and clinical outcome of small cell lung cancer

The role of microRNAs in small-cell lung carcinoma (SCLC) is largely unknown. miR-34a is known as a p53 regulated tumor suppressor microRNA in many cancer types. However, its therapeutic implication has never been studied in SCLC, a cancer type with frequent dysfunction of p53. We investigated the expression of a panel of 7 microRNAs (miR-21, miR-29b, miR-34a/b/c, miR-155, and let-7a) in 31 SCLC tumors, 14 SCLC cell lines, and 26 NSCLC cell lines. We observed significantly lower miR-21, miR-29b, and miR-34a expression in SCLC cell lines than in NSCLC cell lines. The expression of the 7 microRNAs was unrelated to SCLC patients' clinical characteristics and was neither prognostic in term of overall survival or progression-free survival nor predictive of treatment response. Overexpression or downregulation of miR-34a did not influence SCLC cell viability. The expression of these 7 microRNAs also did not predict in vitro sensitivity to cisplatin or etoposide in SCLC cell lines. Overexpression or downregulation of miR-34a did not influence sensitivity to cisplatin or etoposide in SCLC cell lines. In contrast to downregulation of the miR-34a target genes cMET and Axl by overexpression of miR-34a in NSCLC cell lines, the intrinsic expression of cMET and Axl was low in SCLC cell lines and was not influenced by overexpression of miR-34a. Our results suggest that the expression of the 7 selected microRNAs are not prognostic in SCLC patients, and miR-34a is unrelated to the malignant behavior of SCLC cells and is unlikely to be a therapeutic target.     

Neighborhood linking social capital as a predictor of lung cancer: A Swedish national cohort study

BackgroundThe aim of this nationwide follow-up study was to examine whether neighborhood linking social capital is associated with lung cancer, including incident and mortality cases, after adjustment for individual- and familial-level factors.MethodsThis follow-up study comprised 2,123,707 men and 2,046,174 women aged 25 years or older in Sweden. The follow-up period started on January 1, 2002 and proceeded until first incident of lung cancer, mortality of lung cancer, death from any other cause, emigration or the end of the study period on December 31, 2010. Multilevel logistic regression models (individual-level factors at the first level and neighborhood-level factors at the second level) were used to calculate odds ratios (ORs) with 95% confidence intervals (95% CIs).ResultsWe identified 16,561 lung cancer cases (8422 men and 8139 women) during the follow-up period. Higher ORs of lung cancer, including incident and mortality cases, were observed in individuals who lived in neighborhoods with low social capital (men: OR = 1.37, 95% CI = 1.27–1.47; women: OR = 1.32, 95% CI = 1.23–1.42) than in those living in neighborhoods with high social capital, after adjustment for potential confounding factors.ConclusionThe results of this large national cohort study suggest that neighborhood linking social capital has important independent effects on lung cancer, including incident and mortality cases. These findings indicate that decision-makers must consider the effect of neighborhood-level factors as well as individual- and familial-level factors.     

High LIMP2 expression serves as a predictor for improved clinical outcomes in gastric cancer patients

Lysosomal integral membrane protein-2 (LIMP2) is an important component of innate immunity. However, its role in the anti-tumor response remains unknown. Here, we found that the level of LIMP2 mRNA was frequently upregulated in gastric cancer (GC) tissues according to the TCGA, which was confirmed by immunohistochemistry in 329 cases. LIMP2 expression was significantly associated with Lauren classification (P=0.042), depth of invasion (P=0.016), lymph node metastasis (P=0.039) and TNM stage (P=0.027). LIMP2 expression (P<0.001), differentiation (P<0.001), TNM stage (P<0.001) and preoperative CEA (P=0.018) can be used as independent prognostic factors. GC patients with higher levels of LIMP2 mRNA experienced improved clinical outcomes. Mechanically, the TGF-β signaling pathway, the ERBB signaling pathway, and Toll-like receptor signaling were enriched in proteins with higher LIMP2. Moreover, LIMP2 expression was positively related with M1 tumor-associated macrophages (TAMs) in TCGA data, which was verified by capturing LIMP2 and CD86 co-expression in GC samples. The study suggests that LIMP2 expression in GC would pr edict improved outcomes with M1 TAMs infiltration.     

Use of extreme patient samples for outcome prediction from gene expression data

MOTIVATION: Patient outcome prediction using microarray technologies is an important application in bioinformatics. Based on patients' genotypic microarray data, predictions are made to estimate patients' survival time and their risk of tumor metastasis or recurrence. So, accurate prediction can potentially help to provide better treatment for patients. RESULTS: We present a new computational method for patient outcome prediction. In the training phase of this method, we make use of two types of extreme patient samples: short-term survivors who got an unfavorable outcome within a short period and long-term survivors who were maintaining a favorable outcome after a long follow-up time. These extreme training samples yield a clear platform for us to identify relevant genes whose expression is closely related to the outcome. The selected extreme samples and the relevant genes are then integrated by a support vector machine to build a prediction model, by which each validation sample is assigned a risk score that falls into one of the special pre-defined risk groups. We apply this method to several public datasets. In most cases, patients in high and low risk groups stratified by our method have clearly distinguishable outcome status as seen in their Kaplan-Meier curves. We also show that the idea of selecting only extreme patient samples for training is effective for improving the prediction accuracy when different gene selection methods are used.     

CA 15.3 as a tumour marker in breast cancer

CA 15.3 is an antigenic determinant associated with human mammary carcinomas. Two murine monoclonal antibodies have been raised against the determinants, and an immunoradiometric assay (IRMA-Kit, Centocor, USA) has been developed to determine the antigen levels in plasma of cancer patients. Based on the 99% confidence limit of healthy women, plasma values above 30 U/ml are considered abnormal. Plasma samples from 357 women were examined in the present study. Healthy females (n = 84) ranged below the cut-off level between less than 10 and 29 U/ml. Higher values were found in 12.5% of benign breast diseases and in 23.6% of breast cancer patients, including all stages. Depending on the stage of the disease, there were elevated levels in 11% of operable breast cancer patients preoperatively, in 7% of the cases with no evidence of disease after primary treatment and in 63.5% of patients with disseminated mammary carcinoma. In metastasized breast cancer the frequency and the degree of abnormal titers were closely related to the extent of the metastatic disease. Follow-up examinations of 63 patients under cytotoxic therapy showed CA 15.3 changes correlating well with the clinical course in up to 90% of the antigen positive cases. The present data indicate that CA 15.3 may be useful in the surveillance of breast cancer patients. However in our study one third of the patients with metastatic breast cancer did not show any increase in CA 15.3 and must be regarded as antigen negative.     

Gene expression signature analysis identifies vorinostat as a candidate therapy for gastric cancer

Background

Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future.

Methodology/Principal Findings

Using microarray technology, we generated a gene expression profile of human gastric cancer–specific genes from human gastric cancer tissue samples. We used this profile in the Broad Institute''s Connectivity Map analysis to identify candidate therapeutic compounds for gastric cancer. We found the histone deacetylase inhibitor vorinostat as the lead compound and thus a potential therapeutic drug for gastric cancer. Vorinostat induced both apoptosis and autophagy in gastric cancer cell lines. Pharmacological and genetic inhibition of autophagy however, increased the therapeutic efficacy of vorinostat, indicating that a combination of vorinostat with autophagy inhibitors may therapeutically be more beneficial. Moreover, gene expression analysis of gastric cancer identified a collection of genes (ITGB5, TYMS, MYB, APOC1, CBX5, PLA2G2A, and KIF20A) whose expression was elevated in gastric tumor tissue and downregulated more than 2-fold by vorinostat treatment in gastric cancer cell lines. In contrast, SCGB2A1, TCN1, CFD, APLP1, and NQO1 manifested a reversed pattern.

Conclusions/Significance

We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment.     

The role of miRNAs as a predictor of multicentricity in breast cancer

Expression profiles of miRNAs are shown to be different in various cancers to regulate expression of mRNA or to have a role in inhibition of translation, thus it shows the possible effect in progression, invasion and metastasis of breast cancer cells. The effect of breast conserving treatment in local recurrence and survival rates for the patients who have multicentric breast cancer is still controversial. In our study, we intended to evaluate the foresight of 84 miRNAs which are identified in breast cancer for having differentiated expressions. Thirty-one patients with unifocal and 26 patients with multicentric breast cancer were included in this study. These tissue samples of both malignant and normal breast tissues were kept in RNA later solution at ??80 °C. Eighty-four miRNAs were studied with miScript miRNA PCR Array Human Breast Cancer kit. Fold change, cut off value was accepted as four. In unifocal group, there were 13 upregulated and five downregulated miRNAs and in multicentric group, there were three upregulated and seven downregulated miRNAs. To reach better results for breast cancer diagnosis and treatment, it is important to enlighten tumor biology, and pay attention to target and individual therapy. Thus, miRNAs have potential role in identifying tumor characteristics in supporting diagnosis and resulting with better evaluated disease for better treatment results with individual strategies.

     

Radiation-induced DNA damage as a predictor of long-term toxicity in locally advanced breast cancer patients treated with high-dose hyperfractionated radical radiotherapy

This 14-year-long study makes a novel contribution to the debate on the relationship between the in vitro radiosensitivity of peripheral blood lymphocytes and normal tissue reactions after radiation therapy. The aims were (1) to prospectively assess the degree and time of onset of skin side effects in 40 prospectively recruited consecutive patients with locally advanced breast cancer treated with a hyperfractionated dose-escalation radiotherapy schedule and (2) to assess whether initial radiation-induced DNA damage in peripheral blood lymphocytes of these patients could be used to determine their likelihood of suffering severe late damage to normal tissue. Initial radiation-induced DNA double-strand breaks (DSBs) were assessed in peripheral blood lymphocytes of these patients by pulsed-field electrophoresis. Acute and late cutaneous and subcutaneous toxicity was evaluated using the Radiation Therapy Oncology Group morbidity score. A wide interindividual variation was observed in toxicity grades and in radiation-induced DNA DSBs in peripheral blood lymphocytes (mean 1.61 +/- 0.76 DSBs/Gy per 200 MBp, range 0.63- 4.08), which were not correlated. Multivariate analysis showed a correlation (P < 0.008) between late toxicity and higher prescribed protocol dose (81.6 Gy). Analysis of the 29 patients referred to 81.6 Gy revealed significantly (P < 0.031) more frequent late subcutaneous toxicity in those with intrinsic sensitivity to radiation-induced DNA DSBs of >1.69 DSBs/Gy per DNA unit. Our demonstration of a relationship between the sensitivity of in vitro-irradiated peripheral blood lymphocytes and the risk of developing late toxic effects opens up the possibility of predicting normal tissue response to radiation in individual patients, at least in high-dose non-conventional radiation therapy regimens.     

DNA repair gene expression level in peripheral blood and tumour tissue from non-small cell lung cancer and head and neck squamous cell cancer patients

BackgroundThe nucleotide excision repair pathway is crucial for cellular DNA integrity and the ERCC1 helicase is also potentially involved in resistance to platinum-based chemotherapy, and high levels of ERCC1 mRNA in tumours have been associated with cisplatin resistance in different human cancers. The aim of this work was to investigate the correlation between DNA repair gene expression levels in tumour tissue, normal tissue and peripheral blood samples from patients with two common human cancers, non-small cell lung cancer (NSCLC) and squamous cell carcinoma of the head and neck (HNSCC), to test if blood gene expression could be a proxy for tumour tissue gene expression to predict response to platinum-based chemotherapy.MethodsUsing RT-qPCR we determined ERCC1, ERCC2, ERCC4, XPA, XPC, XRCC1, XRCC3, APEX, OGG1, MGMT mRNA levels in fresh NSCLC, normal lung and HNSCC tissue, as well as blood, from NSCLC and HNSCC patients who were treated surgically.ResultsTarget gene expression in NSCLC and HNSCC tissue was higher than in blood. A statistically significant correlation (p < 0.05) was found between target gene mRNA expression in tumour tissue and blood, in particular ERCC1, MGMT, XPC, XRCC1 and XRCC3 in NSCLC and APEX, ERCC1, ERCC2, ERCC4, XRCC1 and XRCC3 in HNSCC.ConclusionsThe existence of a significant correlation between blood and tumour tissue expression of some genes of clinical interest, such as ERCC1 in NSCLC and HNSCC, could allow the introduction in clinical practice of a simple test that would measure mRNA levels of DNA repair genes in peripheral blood samples instead of tissue samples to determine prognostic and predictive factors in NSCLC and HNSCC patients.