NK cell and IFN signatures are positive prognostic biomarkers for resectable pancreatic cancer

To establish prognostic biomarkers and to identify potential novel therapeutic targets, we performed integrative immunomonitoring of blood and tumor in patients with resectable pancreatic cancer. Flow cytometry (FC) was employed for phenotyping immune cells, multiplex bead assays for plasma cytokine and chemokine determination, and RNA-Seq for the analysis of gene expression in the tumor. Nineteen pancreatic cancer patients were stratified into those with longer or shorter than median recurrence-free survival after surgery (median, 426 days). There were no significant differences between the two groups for clinical parameters including age, sex, surgical procedure, stage, or postoperative adjuvant therapy. However, we found that the percentages of NK cells as assessed by FC in peripheral blood mononuclear cells were higher in patients with late recurrence (P?=?.037). RNA-Seq data indicated no differences in the amount of immune cells or stromal cells between the two groups, although NK cells in the tumor did tend to be higher in patients with late recurrence (P?=?.058). Type I and II IFN signatures were enriched in late-recurring tumors (FDR q-value <0.001), while genes related to KRAS signaling and the epithelial mesenchymal transition (EMT) were enriched in early recurrence. We conclude that tumor-intrinsic properties of metastasis and recurrence influence prognosis, whereas NK cells that might contribute to prevent metastasis are associated with longer recurrence-free survival. Therefore, enhancement of NK cell activity and inhibition of the EMT and KRAS signaling might represent appropriate therapeutic targets following surgical resection of pancreatic cancer.     

Risk factors for pancreatic cancer

In the United States, the cumulative mortality or lifetime risk of dying from pancreatic cancer is about 1-2%, but although this form of cancer is rare, nearly all patients die from the disease within one to two years. Because of its lethality, pancreatic cancer now ranks fourth as a cause of death from cancer. There are country-specific differences in rates, perhaps explained by differences in life-style factors or diet. African-Americans in the USA have rates that are about 50% higher than Caucasians. Smoking is the major known risk factor for this cancer, explaining 20-30% of all cases. Another 5-10% of causes are caused by germline mutations, with mutations in BRCA2 being the most frequent. Two background diseases increase the risk of pancreatic cancer-pancreatitis, and diabetes. Major challenges presented by this cancer are: 1) determination of the molecular pathways that make this cancer so aggressive; 2) development of new modalities, perhaps based on proteomics, to enhance early detection.     

Expression and clinical significance of pepsinogen C in resectable pancreatic cancer

Pepsinogen C is an aspartyl-proteinase usually involved in the digestion of proteins in the stomach, and an androgen- inducible protein in breast cancer cells. In this study we evaluated its expression and clinical significance in patients with resectable pancreatic cancer. Pepsinogen C expression was examined by immunohistochemical methods in a series of 73 pancreatic carcinomas. The prognostic value of pepsinogen C was retrospectively evaluated by multivariate analysis. A total of 21 (28.8%) pancreatic carcinomas stained positively for pepsinogen C. The percentage of pepsinogen C-positive tumors was significantly higher in well-differentiated tumors (38.3%) than in moderately differentiated (15.8%) and poorly differentiated (O%) tumors (p<0.05). In addition, statistical analysis revealed that pepsinogen C expression was associated with clinical outcome. Thus, patients with pepsinogen C-negative tumors have a poorer overall survival than those with pepsinogen C-positive tumors. Our results led us to consider that the expression of pepsinogen C may represent a useful biological marker in pancreatic cancer. Expression of this protein may be a marker of gastric-type differentiation of the tumors and it might also reflect the existence of a complete hormone receptor pathway in a subset of pancreatic carcinomas.     

Molecular classification as prognostic factor and guide for treatment decision of pancreatic cancer

Clinico-pathological factors fail to consistently predict the outcome after pancreatic resection for pancreatic ductal adenocarcinoma (PDAC). PDACs show a high level of inter- and intra- tumor genetic heterogeneity. A molecular classification should help sort patients into less heterogeneous and more appropriate groups regarding the metastatic risk and the therapeutic response, with the consequences of better predicting evolution and better orienting the treatment. PDAC can be classified based on mutational subtypes and 18gene alterations. Whole-genome sequencing identified mutational signatures, mutational burden and hyper-mutated tumors with specific DNA repair defects. Their overlap/similarities allow the definition of molecular subtypes. DNA and RNA classifications can be used in prognosis assessment. They are useful in therapeutic choice for they allow the design of approaches that can predict the respective drug sensitivity of each molecular subtype. This review provides a comprehensive analysis of available molecular classifications in PDAC and how this can help guide clinical decisions.     

Biomarkers as prognostic factors in endometrial cancer

Endometrial cancer is the most common gynecologic malignancy in more developed countries. Approximately 75% of cases are diagnosed at an early stage with a tumor confined to the uterine corpus. Although most patients are cured by surgery alone, about 15-20% with no signs of locally advanced or metastatic disease at primary treatment recurs, with limited responsiveness to systemic therapy. The most common basis for determining the risk of recurrent disease has been classification of endometrial cancers into two subtypes. Type I, associated with a good prognosis and endometrioid histology and type II, associated with a poor prognosis and non-endometrioid histology. This review will focus primarily on the molecular biomarkers that have supported the dualistic model of endometrial carcinoma and help determine which patients would benefit from either adjuvant therapy or more aggressive primary treatment.     

Survival outcome after stereotactic body radiotherapy for locally advanced and borderline resectable pancreatic cancer: A systematic review and meta-analysis

BackgroundSome studies reported stereotactic body radiotherapy (SBRT) has demonstrated superior therapeutic results than conventional radiotherapy. Nevertheless, this statement is controversial and the trial attempting to prove this is underway. We conducted this systemic review and meta-analysis aiming to combine the latest and most complete information about the survival outcomes and toxicities following SBRT for locally advanced pancreatic cancer (LAPC) and borderline resectable pancreatic cancer (BRPC).MethodsItems involving SBRT and pancreatic cancer were searched in PubMed, EMBASE, Cochrane Library, SCOPUS and Web of Science. Median overall survival (OS), 1/2/3-year OS, median progression-free survival (PFS), 1/2/3-year PFS and incidence of grade 3–5 toxicities were the endpoints of interest in this meta-analysis. These endpoint proportions were pooled and analyzed using R.ResultsFor the LAPC series, the median OS was 14.1 months; pooled 1/2/3-year OS rates were 57%, 19% and 10%, respectively; the median PFS was 10 months; pooled 1/2/3-year PFS rates were 36%, 12% and 4%; pooled incidence rates of acute gastrointestinal (GI), acute hematologic and late GI toxicity (grade≥3) were 2%, 4% and 8%. For the BRPC series, the median OS was 17.5 months; pooled 1/2-year OS rates were 75% and 29%; the median PFS was 12.2 months; pooled 1/2-year PFS rates were 48% and 18%; the incidence rates of toxicity (grade ≥ 3) were all 0%.ConclusionsOur meta-analysis based on published results of OS, PFS and incidence rates of toxicity demonstrated that SBRT does not show desirable therapeutic result than the standard therapies for LAPC and BRPC.     

Expression of nerve growth factors in pancreatic neural tissue and pancreatic cancer.

One of the characteristics of pancreatic cancer is its tendency to invade neural tissue. We hypothesized that the affinity of cancer cells for nerve tissue is related to the presence of growth factors in neural tissue and their receptors in cancer cells. Sections of pancreatic cancer and normal pancreatic tissue were examined by immunohistochemistry for the expression of the neurotrophins NGF, BDNF, NT-3, NT-4, and their receptors TrkA, TrkB, and TrkC, as well as the low-affinity receptor, p75NTR. TrkA expression was found in duct, islet, and cancer cells; TrkB was found in the alpha-cells of the islet only. The anti-pan-Trk antibody (TrkB3), which is presumed to recognize all three receptors, immunoreacted with duct and acinar cells in normal tissue and with cancer cells. The staining with TrkC was similar to that of TrkA. The low-affinity receptor p75NTR was expressed in the neural tissue and in scattered duct cells of the normal tissue only. Duct and acinar cells, as well as neural tissue and cancer cells, showed weak to strong immunoreactivity with NGF. NT-3 expression was noted in capillary endothelia and erythrocytes. NT-4 showed specific staining for ductule cells. The expression and distribution of neurotrophins and their receptors suggest their role in the potential of pancreatic cancer cells for neural invasion.     

Tumor markers and prognostic factors of the primary lung cancer

Primary bronchial cancer is the most common cause of cancer death worldwide, and it shows a steadily increasing incidence. Beside classical histological typing and grading, immunohistochemical, cytometric, and molecular biological parameters are highly needed to assist light microscopy investigations to better characterize primary bronchial cancers. In this work the author summarizes the main tumor markers and prognostic factors in lung cancer studied intensively at present. Serum markers as well as different tissue markers, such as cell proliferation markers, oncogenes, growth factors, apoptosis markers and vascularisation markers, tumor suppressor genes and markers of drug resistance are discussed in details. The methods currently used in this field are also mentioned and the data of the literature is often completed with results of the author's own investigations. An overview is given about the role of tumor markers in the early detection of lung cancer, in the assessment of tumor aggressiveness, and in therapy of lung cancer. The aim of this work is to create a bridge between the research laboratory in which lung cancer is studied sometimes using very sophisticated techniques and the bedside with all its practical, difficult but very important questions. Getting closer the theory and the practice can be very promising in the establishment of a fruitful collaboration in order to be more effective in the fight against lung cancer.     

Proteomic analysis of selected prognostic factors of breast cancer

The incidence of breast cancer is on the rise but as yet there is no guaranteed beneficial treatment for many of the sufferers. The treatments specific for breast and other hormone-sensitive cancers work well at times, however, the population of women that they will benefit is relatively small. Many are limited to surgical, chemotherapy, and radiotherapy options. Here, using two-dimensional electrophoresis (2-DE) in conjunction with a silver stain and Western blotting approach, we attempt to locate selected known prognostic markers for breast cancer. With these results, we can exclude these proteins from the future search for potential pharmaceutical targets, using the same techniques. The proteins that were located include the estrogen receptor-alpha, beta-casein, cytokeratin 7, calponin and bax. For each protein an estimated M(r) and pI was gained. Each protein was found in multiple variants. By locating these proteins the number of unknown proteins found on the 2-DE gel has been reduced, helping the future search for novel markers that are shown as being differentially expressed between healthy and cancerous tissue samples.     

Identification of novel prognostic markers in relapsing localized resectable neuroblastoma

Patients with localized resectable neuroblastoma (NB) generally have an excellent prognosis and can be treated by surgery alone, but approximately 10% of them develop local recurrences or metastatic progression. The known predictive risk factors are important for the identification of localized resectable NB patients at risk of relapse and/or progression, who may benefit from early and aggressive treatment. These factors, however, identify only a subset of patients at risk, and the search for novel prognostic markers is warranted. This review focuses on the recent advances in the identification of new prognostic markers. Recently we addressed the search of novel genetic prognostic markers in a selected cohort of patients with stroma-poor localized resectable NB who underwent disease relapse or progression (group 1) or complete remission (group 2). High-resolution array-comparative genomic hybridization (CGH) DNA copy-number analysis technology was used. Chromosome 1p36.22p36.32 loss and 1q22qter gain, detected almost exclusively in group 1 patients, were significantly associated with poor event-free survival (EFS). Increasing evidence points to anaplastic lymphoma kinase (ALK) as a fundamental oncogene associated with NB. The immunohistochemical analysis of sporadic NB localized resectable primary tumors (stage 1-2) showed a correlation between aberrant ALK level of expression and tumor progression and clinical outcome. Moreover, other factors that might influence the clinical behavior of these tumors will be reviewed.     

Genetic characteristics and prognostic implications of m1A regulators in pancreatic cancer

Studies have identified the methylation of N1 adenosine (m1A), an RNA modification, playing an important role in the progression of the tumorigenesis. The present study aimed to analyze the genetic characteristics and prognostic value of m1A regulators in pancreatic cancer. In the present study, data on gene mutations, single-nucleotide variants (SNVs), and copy number variation (CNV) were obtained from 363 patients with pancreatic cancer in the Cancer Genome Atlas (TCGA) database, and survival analysis was performed using the logarithmic rank test and Cox regression model. The chi-squared test was used to examine the relationship between the changes in m1A regulatory factors and clinicopathological characteristics. And we used ICGC database to verify the reliability of prognostic markers. The results show that changes in m1A-regulating genes are related to clinical stage and that the expression of some m1A-regulating genes is positively correlated with CNV. In addition, the low expression of the ‘eraser’ gene ALKBH1 is related to the poor prognosis of patients with pancreatic cancer, and its expression level has important clinical significance for patients with pancreatic adenocarcinoma (PAAD). Mechanistically, ALKBH1 may participate in the occurrence and development of pancreatic cancer through mTOR and ErbB signaling pathway. The expression of m1A-regulating genes can be used as a prognostic marker for pancreatic cancer. These findings provide valuable clues for us to understand the epigenetics of m1A in pancreatic cancer.     

Evaluation of clinical, laboratory and morphologic prognostic factors in colon cancer

Background

Postoperative pancreas fistula (POPF) is a major complication after total gastrectomy with splenectomy. We retrospectively studied the effects of upper abdominal shape on the development of POPF after gastrectomy.

Methods

Fifty patients who underwent total gastrectomy with splenectomy were studied. The maximum vertical distance measured by computed tomography (CT) between the anterior abdominal skin and the back skin (U-APD) and the maximum horizontal distance of a plane at a right angle to U-APD (U-TD) were measured at the umbilicus. The distance between the anterior abdominal skin and the root of the celiac artery (CAD) and the distance of a horizontal plane at a right angle to CAD (CATD) were measured at the root of the celiac artery. The CA depth ratio (CAD/CATD) was calculated.

Results

POPF occurred in 7 patients (14.0%) and was associated with a higher BMI, longer CAD, and higher CA depth ratio. However, CATD, U-APD, and U-TD did not differ significantly between patients with and those without POPF. Logistic-regression analysis revealed that a high BMI (≥25) and a high CA depth ratio (≥0.370) independently predicted the occurrence of POPF (odds ratio = 19.007, p = 0.002; odds ratio = 13.656, p = 0.038, respectively).

Conclusion

Surgical procedures such as total gastrectomy with splenectomy should be very carefully executed in obese patients or patients with a deep abdominal cavity to decrease the risk of postoperative pancreatic fistula. BMI and body shape can predict the risk of POPF simply by CT.     

The prognostic role of time to diagnosis and presenting symptoms in patients with pancreatic cancer

Background: The aim of this study was to investigate the prognostic role of diagnostic delay and clinical presentation (regarding pain, jaundice, and weight loss) in pancreatic carcinoma. Methods: One hundred and seventy patients with pancreatic cancer were diagnosed and treated in the decade 2001–2010 (100 males and 70 females, with a mean age of 65.8 years [range, 36–91]). Patients were staged with spiral computed tomography and 75% were found to have advanced disease (28 stage III, 99 stage IV disease). Ductal adenocarcinoma was diagnosed in 147 cases, other subtypes of carcinoma in the remaining 23. Fifty patients were operated with radical intent, 19 had palliative surgery, 101 were considered inoperable because of advanced disease or heavy anesthesiologic risk; 31 of these inoperable patients underwent biliary decompression by insertion of an endoluminal or percutaneous stent. Gemcitabine-containing regimens were administered to 143 patients and radiotherapy was combined in 19. Overall and relative survival were the parameters studied. Multivariate analysis was performed by multiple regressions applied to proportional-hazards model. Results: From all the clinical, pathological and therapeutical factors evaluated the statistically significant ones were time to diagnosis and surgery. Among symptoms pain was related to the shortest mean time to diagnosis, weight loss to the longest, with corresponding differences in survival. These differences of observed survival were substantially confirmed in terms of relative survival. Conclusions: The poor prognosis of pancreatic carcinoma seems to depend, in part, on diagnostic delay and this, in turn, is influenced by the type of presenting symptoms.     

Urinary metabolite prognostic biomarker panel for pancreatic ductal adenocarcinomas

BackgroundPatients with pancreatic ductal adenocarcinoma (PDAC) have a very low survival rate and surgical resection is the only curative intent treatment available. However, the majority of patients relapse after surgery and identification of biomarkers for accurate prognostication of PDAC patients is required. We have recently identified a six biomarker (i.e., trigonelline, glycolate, hippurate, creatine, myoinositol and hydroxyacetone) urinary metabolite panel with very high potential to diagnose PDAC (Int J Cancer 2021;148:1508–18). This study aimed to assess the prognostic ability of these previously identified diagnostic metabolites in the urine of PDAC patients.MethodsMetabolite data from 88 PDAC patients was statistically assessed for their prognostic ability.ResultsA panel of three metabolites (i.e., trigonelline, hippurate and myoinositol) was able to stratify patients with good- or poor-prognosis based on overall survival. The PDAC patients with abnormal levels of 2 or more metabolites in their urine demonstrated significantly lower survival compared to patients with abnormal levels of one or less metabolites.ConclusionThese results demonstrate that the selected three metabolite panel could be used to stratify patients based on their prognostic outcomes and if independently validated may lead to the development of a urinary prognostic biomarker test for PDAC.General significanceThis study highlights the potential of using ¹H-nuclear magnetic resonance spectroscopy for the identification of novel metabolites which can prognosticate cancer patients.     

Predictive and prognostic factors in the complex treatment of patients with colorectal cancer

Colon cancer is the second most prevalent lethal cancer. The main cause for high mortality rate is that the prognosis for progressed metastatic colon cancer is most unfavorable. Recent data suggest that disease outcome can be further improved by the addition of targeted biological agents to the first- or second-line treatment. As a result of molecularly targeted anti-EGFR therapies (cetuximab and panitumumab) complementing chemotherapy, liver metastases can reduce in size and become operable in certain patients, which can contribute to the complete recovery of the patient. The main problem, however, is the fact that a positive response only occurs in one third of the patients, even in the case of chemotherapy combined protocol, and the side effects are considerable. For the application of individually tailored treatments, it is an urgent need to develop a system of biomarkers that can predict the effect of treatment and provide information about the optimal selection of both chemotherapy and biological treatment. It should be clarified what the most important requirements of a good and reliable biomarker are. As currently there is no precise predictive molecular diagnostics at our disposal, oncologists have to make one of two choices: they treat a large number of patients with anti-EGFR agents which has negative effects on the quality of life and also reduces the patient's chances of getting appropriate treatment or, if the oncologists refuse to take risks, they omit the use of anti-EGFR treatment in which case those patients for whom this would have been the appropriate treatment are also denied the chance of short-term survival or recovery. Clinical data (response rate, time to progression (TTP) and overall survival (OS)) of 130 colorectal cancer patients have been retrospectively analyzed. Patients have received different chemotherapy protocols in combination with anti-VEGF antibody or with anti-EGFR antibody therapies. EGFR expression was evaluated with immunohistochemistry, KRAS, BRAF and PIK3CA mutations were evaluated by direct sequencing and high resolution melting analysis in the archived formalin-fixed, paraffin-embedded tissue samples. The study found similar efficacy of first-line therapeutic protocols. Protocols combining chemotherapy with biological therapies achieved better overall survival but this difference was not significant (OS: 35.9 versus 36.7 months). The frequency of KRAS mutations was 44% (n=100). None of the KRAS mutant tumors responded to the anti-EGFR monotherapy. TTP in the case of cetuximab monotherapy was twice longer (208 months) than in the KRAS mutant tumors (104 months). One BRAF mutant tumor was also identified (4%) This tumor was also resistant to cetuximab monotherapy. The KRAS and BRAF mutations excluded each other. Except one case, the KRAS status was identical in both the primary tumor and the metastasis. In contrast, PIK3CA mutations were heterogeneous in different tumor samples. In 5 out of 6 cases the mutation status of PIK3CA was different in the primary tumor and the metastasis. New biological therapies provide an additional clinical benefit only for a subset of patients. We need biomarkers to identify these patients. KRAS and most probably BRAF testing can double the efficacy of the anti-EGFR therapies, but we need additional molecular diagnostic tests. PIK3CA is an important candidate but we might need to take biopsy directly from the metastasis or we have to evaluate the circulating tumor cells to judge the molecular status of distant metastasis.     

Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancer

Purpose: To identify differentially expressed immune-related genes (DEIRGs) and construct a model with survival-related DEIRGs for evaluating the prognosis of patients with pancreatic cancer (PC).Methods: Six microarray gene expression datasets of PC from the Gene Expression Omnibus (GEO) and Immunology Database and Analysis Portal (ImmPort) were used to identify DEIRGs. RNA sequencing and clinical data from The Cancer Genome Atlas Program-Pancreatic Adenocarcinoma (TCGA-PAAD) database were used to establish the prognostic model. Univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses were applied to determine the final variables of the prognostic model. The median risk score was used as the cut-off value to classify samples into low- and high-risk groups. The prognostic model was further validated using an internal validation set of TCGA and an external validation set of {"type":"entrez-geo","attrs":{"text":"GSE62452","term_id":"62452"}}GSE62452.Results: In total, 142 DEIRGs were identified from six GEO datasets, 47 were survival-related DEIRGs. A prognostic model comprising five genes (i.e., ERAP2, CXCL9, AREG, DKK1, and IL20RB) was established. High-risk patients had poor survival compared with low-risk patients. The 1-, 2-, 3-year area under the receiver operating characteristic (ROC) curve of the model reached 0.85, 0.87, and 0.93, respectively. Additionally, the prognostic model reflected the infiltration of neutrophils and dendritic cells. The expression of most characteristic immune checkpoints was significantly higher in the high-risk group versus the low-risk group.Conclusions: The five-gene prognostic model showed reliably predictive accuracy. This model may provide useful information for immunotherapy and facilitate personalized monitoring for patients with PC.