Histopathology and levels of proteins in plasma associate with survival after colorectal cancer diagnosis.

BACKGROUND: The TNM system is used to assess prognosis after colorectal cancer (CRC) diagnosis. Other prognostic factors reported include histopathological assessments of the tumour, tumour mutations and proteins in the blood. As some of these factors are strongly correlated, it is important to evaluate the independent effects they may have on survival. METHODS: Tumour samples from 2162 CRC patients were visually assessed for amount of tumour stroma, severity of lymphocytic infiltrate at the tumour margins and the presence of lymphoid follicles. Somatic mutations in the tumour were assessed for 2134 individuals. Pre-surgical levels of 4963 plasma proteins were measured in 128 individuals. The associations between these features and prognosis were inspected by a Cox Proportional Hazards Model (CPH). RESULTS: Levels of stroma, lymphocytic infiltration and presence of lymphoid follicles all associate with prognosis, along with high tumour mutation burden, high microsatellite instability and TP53 and BRAF mutations. The somatic mutations are correlated with the histopathology and none of the somatic mutations associate with survival in a multivariate analysis. Amount of stroma and lymphocytic infiltration associate with local invasion of tumours. Elevated levels of two plasma proteins, CA-125 and PPP1R1A, associate with a worse prognosis. CONCLUSIONS: Tumour stroma and lymphocytic infiltration variables are strongly associated with prognosis of CRC and capture the prognostic effects of tumour mutation status. CA-125 and PPP1R1A may be useful prognostic biomarkers in CRC.

Phagocytosis increases an oxidative metabolic and immune suppressive signature in tumor macrophages.

Phagocytosis is a key macrophage function, but how phagocytosis shapes tumor-associated macrophage (TAM) phenotypes and heterogeneity in solid tumors remains unclear. Here, we utilized both syngeneic and novel autochthonous lung tumor models in which neoplastic cells express the fluorophore tdTomato (tdTom) to identify TAMs that have phagocytosed neoplastic cells in vivo. Phagocytic tdTompos TAMs upregulated antigen presentation and anti-inflammatory proteins, but downregulated classic proinflammatory effectors compared to tdTomneg TAMs. Single-cell transcriptomic profiling identified TAM subset-specific and common gene expression changes associated with phagocytosis. We uncover a phagocytic signature that is predominated by oxidative phosphorylation (OXPHOS), ribosomal, and metabolic genes, and this signature correlates with worse clinical outcome in human lung cancer. Expression of OXPHOS proteins, mitochondrial content, and functional utilization of OXPHOS were increased in tdTompos TAMs. tdTompos tumor dendritic cells also display similar metabolic changes. Our identification of phagocytic TAMs as a distinct myeloid cell state links phagocytosis of neoplastic cells in vivo with OXPHOS and tumor-promoting phenotypes.

Sphingosine kinase activity is not required for tumor cell viability.

Sphingosine kinases (SPHKs) are enzymes that phosphorylate the lipid sphingosine, leading to the formation of sphingosine-1-phosphate (S1P). In addition to the well established role of extracellular S1P as a mitogen and potent chemoattractant, SPHK activity has been postulated to be an important intracellular regulator of apoptosis. According to the proposed rheostat theory, SPHK activity shifts the intracellular balance from the pro-apoptotic sphingolipids ceramide and sphingosine to the mitogenic S1P, thereby determining the susceptibility of a cell to apoptotic stress. Despite numerous publications with supporting evidence, a clear experimental confirmation of the impact of this mechanism on tumor cell viability in vitro and in vivo has been hampered by the lack of suitable tool reagents. Utilizing a structure based design approach, we developed potent and specific SPHK1/2 inhibitors. These compounds completely inhibited intracellular S1P production in human cells and attenuated vascular permeability in mice, but did not lead to reduced tumor cell growth in vitro or in vivo. In addition, siRNA experiments targeting either SPHK1 or SPHK2 in a large panel of cell lines failed to demonstrate any statistically significant effects on cell viability. These results show that the SPHK rheostat does not play a major role in tumor cell viability, and that SPHKs might not be attractive targets for pharmacological intervention in the area of oncology.

Use of cryopreserved cell aliquots in the high-throughput screening of small interfering RNA libraries.

Screening small interfering RNA (siRNA) libraries holds the potential to elucidate gene function as well as discover new targets for the therapeutic treatment of disease. Since the inception of siRNA as a discovery tool, there have been progressive improvements in siRNA design algorithms, the transfection reagents used to deliver them, and the assay formats used to monitor phenotypic changes. These changes have helped to improve the quality of the data emerging from siRNA screens. One variable that introduces inconsistency into high-throughput screening (HTS) of siRNA libraries is the state of the cells used in the assays. Multiple factors can contribute to differences in transfection efficiency as well as the basic cell biology, which can lead to differences in the genes identified in siRNA screens. The authors have developed a system using frozen cell aliquots to use in siRNA HTS, so that a major source of variability introduced into cell-based screens can be standardized. In addition, by transiently transfecting plasmids into cell lines and then freezing these cells down to use in siRNA transfection experiments, they have used this same technology to create new cell lines. This process of using aliquots of frozen cells is logistically advantageous in an HTS setting, as it reduces the time spent maintaining cell lines, as well as reducing possible downtime in screening due to lack of cells or poor cell health.

High-resolution array comparative genomic hybridization of chromosome arm 8q: evaluation of genetic progression markers for prostate cancer.

Copy number increase of 8q has previously been shown to be associated with a poor clinical outcome and tumor recurrence in patients with prostate cancer. In this study, a detailed genomic analysis of 8q was performed of archival primary and metastatic prostatic adenocarcinomas (n = 22), and prostate cancer xenografts (n = 9), and cell lines (n = 3). We performed array comparative genomic hybridization (aCGH) using a whole chromosome arm contig array consisting of 702 8q-specific BAC clones. Five regions of frequent copy number increase were identified, i.e. at chromosome bands 8q21.13 (81-82 Mb), 8q22.1 (94-96 Mb), 8q22.2-3 (101-103 Mb), 8q24.13 (124-126 Mb), and 8q24.21 (127-129 Mb), the most distal region containing the MYC oncogene. MYC and 13 genes of the other four regions with putative relevance to cancer were selected. Two additional genes were derived from high-level amplifications detected by 8q aCGH analysis of prostate cancer xenograft PC339. Quantitative RT-PCR of these 16 genes was performed in a series of 26 prostate specimens, including normal tissue (n = 5), fresh-frozen adenocarcinoma (n = 7), cancer xenograft (n = 9), and cancer cell line material (n = 2). Three of the 16 genes were significantly overexpressed in cancer compared with that in normal prostate tissue, i.e. PDP, located at 8q22.1 (95 Mb), PABPC1 located at 8q22.3 (102 Mb), and KIAA0196 located at 8q24.13 (126 Mb). These genes can be considered putative progression markers for prostate cancer.

Construction and application of a full-coverage, high-resolution, human chromosome 8q genomic microarray for comparative genomic hybridization.

BACKGROUND: Array-based comparative genomic hybridization (aCGH) enables genome-wide quantitative delineation of genomic imbalances. A high-resolution contig array was developed specifically for chromosome 8q because this chromosome arm is frequently altered in many human cancers. METHODS: A minimal tiling path contig of 702 8q-specific bacterial artificial chromosome (BAC) clones was generated with a novel computational tool (BAC Contig Assembler). BAC clones were amplified by degenerative oligonucleotide primer (DOP) polymerase chain reaction and subsequently printed onto glass slides. For validation of the array DNA samples of gastroesophageal and prostate cancer cell lines, and chronic myeloid leukemia specimens were used, which were previously characterized by multicolor fluorescence in situ hybridization and conventional CGH. RESULTS: Single and double copy gains were confidently demonstrated with the 8q array. Single copy loss and high-level amplifications were accurately detected and confirmed by bicolor fluorescence in situ hybridization experiments. The 8q array was further tested with paraffin-embedded prostate cancer specimens. In these archival specimens, the copy number changes were confirmed. In fresh and archival samples, additional alterations were disclosed. In comparison with conventional CGH, the resolution of the detected changes was much improved, which was demonstrated by an amplicon of 0.7 Mb and a deletion of 0.6 Mb, both spanned by only six BAC clones. CONCLUSIONS: A comprehensive array is presented, which provides a high-resolution method for mapping copy number alterations on chromosome 8q.

Decreased stromal expression and increased epithelial expression of WFDC1/ps20 in prostate cancer is associated with reduced recurrence-free survival.

BACKGROUND: WAP-type four disulfide core (WFDC1)/ps20 is a member of the whey acidic protein family, which includes several serine protease inhibitors. Expression of WFDC1/ps20 was previously demonstrated in the normal human prostate stromal compartment. To further current understanding of the role of WFDC1/ps20 in prostate cancer, altered expression of WFDC1/ps20 protein in prostate cancer was evaluated. METHODS: Immunohistochemical staining for WFDC1/ps20 was performed using tissue microarrays. Quantitation was based on the percentage of positive-staining stromal or epithelial cells and staining intensity. Resulting data was analyzed relative to the recurrence-free survival data and additional information for this patient set. RESULTS: Decreased stromal expression of WFDC1/ps20 predicted shorter recurrence-free survival time by univariate analysis. Decreased stromal WFDC1/ps20 expression correlated with higher radical prostatectomy Gleason scores, positive surgical margins, extracapsular extension, higher clinical stage, and higher preoperative prostate specific antigen levels. Increased epithelial expression of WFDC1/ps20 also predicted shorter recurrence-free survival times by univariate analysis. Increased epithelial expression of WFDC1/ps20 correlated with higher biopsy and radical prostatectomy Gleason scores, and higher clinical stage. CONCLUSIONS: Decreased stromal WFDC1/ps20 expression reflects the evolution of a prostate cancer reactive stroma, while increased epithelial WFDC1/ps20 expression may indicate progression to a more aggressive epithelial phenotype and may indicate an epithelial mesenchymal transition (EMT) process. Further evaluation of WFDC1/ps20 biologic functions will aid in the understanding of this interesting expression profile.

Molecular analysis of WFDC1/ps20 gene in prostate cancer.

BACKGROUND: WFDC1/ps20 protein has been previously established as a growth suppressor of the prostate cancer cell line PC3. It maps to chromosome 16q23.1, a region of frequent loss of heterozygosity, familial association, and genomic loss in prostate cancer. We, therefore, chose to examine WFDC1/ps20 for mutations and expression changes in prostate cancer. METHODS: DNA from 21 prostate cancer patients and 5 prostate cancer cell lines was screened for mutations in the WFDC1/ps20 gene by sequencing PCR products of each exon. An SphI polymorphism in the 5' UTR was screened in 23 tumors, 22 normal adjacent prostate tissue samples, and 35 control DNAs. Expression of WFDC1/ps20 in different tissue types was examined by Northern blot and by PCR across a multi-tissue cDNA panel. Expression patterns of WFDC1/ps20 in primary tumors were examined by full-length RT-PCR and products were cloned and sequenced to identify novel splice forms. Quantitative RT-PCR analysis of WFDC1/ps20 was performed in a separate cohort of matched tumor/benign tissues. RESULTS: No tumor-associated mutations were identified in the coding region of WFDC1/ps20. A novel polymorphism was found in exon 6 in DNA from cell lines, tumors, and normal adjacent benign tissue. A novel splice form completely deleted for exon 3 was found in tumor and normal prostate RNA. Quantitative RT-PCR demonstrated significant down regulation of WFDC1/ps20 in prostate tumors. Subdivision of normal tissue into stromal and epithelial compartments showed that WFDC1/ps20 expression correlates exponentially with the amount of stroma present. CONCLUSIONS: WFDC1/ps20 is down regulated but not frequently mutated in prostate cancer. It is expressed predominantly in the normal stroma of the prostate. We, therefore, propose that WFDC1/ps20 may not be a classical tumor suppressor gene, but might play a role in the maintenance of the normal extra cellular matrix milieu in the prostate.

Whole genome scanning identifies genotypes associated with recurrence and metastasis in prostate tumors.

Prostate cancer is the most commonly diagnosed non-cutaneous neoplasm among American males and is the second leading cause of cancer-related death. Prostate specific antigen screening has resulted in earlier disease detection, yet approximately 30% of men will die of metastatic disease. Slow disease progression, an aging population and associated morbidity and mortality underscore the need for improved disease classification and therapies. To address these issues, we analyzed a cohort of patients using array comparative genomic hybridization (aCGH). The cohort comprises 64 patients, half of whom recurred postoperatively. Analysis of the aCGH profiles revealed numerous recurrent genomic copy number aberrations. Specific loss at 8p23.2 was associated with advanced stage disease, and gain at 11q13.1 was found to be predictive of postoperative recurrence independent of stage and grade. Moreover, comparison with an independent set of metastases revealed approximately 40 candidate markers associated with metastatic potential. Copy number aberrations at these loci may define metastatic genotypes.

Integration of high-resolution array comparative genomic hybridization analysis of chromosome 16q with expression array data refines common regions of loss at 16q23-qter and identifies underlying candidate tumor suppressor genes in prostate cancer.

We have constructed a high-resolution genomic microarray of human chromosome 16q, and used it for comparative genomic hybridization analysis of 16 prostate tumors. We demarcated 10 regions of genomic loss between 16q23.1 and 16qter that occurred in five or more samples. Mining expression array data from four independent studies allowed us to identify 11 genes that were frequently underexpressed in prostate cancer and that co-localized with a region of genomic loss. Quantitative expression analyses of these genes in matched tumor and benign tissue from 13 patients showed that six of these 11 (WWOX, WFDC1, MAF, FOXF1, MVD and the predicted novel transcript Q9H0B8 (NM_031476)) had significant and consistent downregulation in the tumors relative to normal prostate tissue expression making them candidate tumor suppressor genes.