The Role of Cancer-Associated Fibroblasts in Lung Tumorigenesis

The extracellular milieu is rich in growth factors that drive tumor progression,but the mechanisms that govern tumor cell sensitivity to those ligands have notbeen fully defined. In this study, we address this question in mice that developmetastatic lung adenocarcinomas through the suppression of the microRNA-200 (miR-200) family. Cancer-associated fibroblasts (CAF) enhance tumorgrowth and invasion by secreting VEGF-A that binds to VEGFR1, a processrequired for tumor growth and metastasis in mice and correlated with a poorprognosis in lung adenocarcinoma patients. In this study, we discovered thatmiR-200 blocked CAF-induced tumor cell invasion by directly targetingVEGFR1 in tumor cells. In the context of previous studies, our findings suggestthat the miR-200 family is a point of convergence for diverse biologic processesthat regulate tumor cell proliferation, invasion, and metastasis; its target genesixdrive epithelial-to-mesenchymal transition (ZEB1 and ZEB2) and promotesensitivity to a potent tumor growth factor emanating from the microenvironment(VEGFR1). Clinical trials should focus not only on the role of VEGFR1 inangiogenesis but also on the expression and activation of VEGFR1 in tumorcells by stromal sources of VEGF-A in the tumor microenvironment as a targetfor metastasis prevention.

Statistical characterization and development of summary measures of non-normal distributions of nuclear morphometry data from prostate cancer cells for use as prognostic indicators

Nuclear morphometry (NM) uses image analysis to measure features of the cell nucleus which are classified as: bulk properties, shape or form, and DNA distribution. Studies have used these measurements as diagnostic and prognostic indicators of disease with inconclusive results. The distributional properties of these variables have not been systematically investigated although much of the medical data exhibit nonnormal distributions. Measurements are done on several hundred cells per patient so summary measurements reflecting the underlying distribution are needed.^ Distributional characteristics of 34 NM variables from prostate cancer cells were investigated using graphical and analytical techniques. Cells per sample ranged from 52 to 458. A small sample of patients with benign prostatic hyperplasia (BPH), representing non-cancer cells, was used for general comparison with the cancer cells.^ Data transformations such as log, square root and 1/x did not yield normality as measured by the Shapiro-Wilks test for normality. A modulus transformation, used for distributions having abnormal kurtosis values, also did not produce normality.^ Kernel density histograms of the 34 variables exhibited non-normality and 18 variables also exhibited bimodality. A bimodality coefficient was calculated and 3 variables: DNA concentration, shape and elongation, showed the strongest evidence of bimodality and were studied further.^ Two analytical approaches were used to obtain a summary measure for each variable for each patient: cluster analysis to determine significant clusters and a mixture model analysis using a two component model having a Gaussian distribution with equal variances. The mixture component parameters were used to bootstrap the log likelihood ratio to determine the significant number of components, 1 or 2. These summary measures were used as predictors of disease severity in several proportional odds logistic regression models. The disease severity scale had 5 levels and was constructed of 3 components: extracapsulary penetration (ECP), lymph node involvement (LN+) and seminal vesicle involvement (SV+) which represent surrogate measures of prognosis. The summary measures were not strong predictors of disease severity. There was some indication from the mixture model results that there were changes in mean levels and proportions of the components in the lower severity levels. ^

The molecular signature of the stroma response in prostate cancer-induced osteoblastic bone metastasis highlights expansion of hematopoietic and prostate epithelial stem cell niches

The reciprocal interaction between cancer cells and the tissue-specific stroma is critical for primary and metastatic tumor growth progression. Prostate cancer cells colonize preferentially bone (osteotropism), where they alter the physiological balance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption, and elicit prevalently an osteoblastic response (osteoinduction). The molecular cues provided by osteoblasts for the survival and growth of bone metastatic prostate cancer cells are largely unknown. We exploited the sufficient divergence between human and mouse RNA sequences together with redefinition of highly species-specific gene arrays by computer-aided and experimental exclusion of cross-hybridizing oligonucleotide probes. This strategy allowed the dissection of the stroma (mouse) from the cancer cell (human) transcriptome in bone metastasis xenograft models of human osteoinductive prostate cancer cells (VCaP and C4-2B). As a result, we generated the osteoblastic bone metastasis-associated stroma transcriptome (OB-BMST). Subtraction of genes shared by inflammation, wound healing and desmoplastic responses, and by the tissue type-independent stroma responses to a variety of non-osteotropic and osteotropic primary cancers generated a curated gene signature ("Core" OB-BMST) putatively representing the bone marrow/bone-specific stroma response to prostate cancer-induced, osteoblastic bone metastasis. The expression pattern of three representative Core OB-BMST genes (PTN, EPHA3 and FSCN1) seems to confirm the bone specificity of this response. A robust induction of genes involved in osteogenesis and angiogenesis dominates both the OB-BMST and Core OB-BMST. This translates in an amplification of hematopoietic and, remarkably, prostate epithelial stem cell niche components that may function as a self-reinforcing bone metastatic niche providing a growth support specific for osteoinductive prostate cancer cells. The induction of this combinatorial stem cell niche is a novel mechanism that may also explain cancer cell osteotropism and local interference with hematopoiesis (myelophthisis). Accordingly, these stem cell niche components may represent innovative therapeutic targets and/or serum biomarkers in osteoblastic bone metastasis.

Nuclear iASPP may facilitate prostate cancer progression

One of the major challenges in prostate cancer (PCa) research is the identification of key players that control the progression of primary cancers to invasive and metastatic disease. The majority of metastatic PCa express wild-type p53, whereas loss of p63 expression, a p53 family member, is a common event. Here we identify inhibitor of apoptosis-stimulating protein of p53 (iASPP), a common cellular regulator of p53 and p63, as an important player of PCa progression. Detailed analysis of the prostate epithelium of iASPP transgenic mice, iASPP(Δ8/Δ8) mice, revealed that iASPP deficiency resulted in a reduction in the number of p63 expressing basal epithelial cells compared with that seen in wild-type mice. Nuclear and cytoplasmic iASPP expression was greater in PCa samples compared with benign epithelium. Importantly nuclear iASPP associated with p53 accumulation in vitro and in vivo. A pair of isogenic primary and metastatic PCa cell lines revealed that nuclear iASPP is enriched in the highly metastatic PCa cells. Nuclear iASPP is often detected in PCa cells located at the invasive leading edge in vivo. Increased iASPP expression associated with metastatic disease and PCa-specific death in a clinical cohort with long-term follow-up. These results suggest that iASPP function is required to maintain the expression of p63 in normal basal prostate epithelium, and nuclear iASPP may inactivate p53 function and facilitate PCa progression. Thus iASPP expression may act as a predictive marker of PCa progression.

Methylation of PITX2, HOXD3, RASSF1 and TDRD1 predicts biochemical recurrence in high-risk prostate cancer

PURPOSE To explore differential methylation of HAAO, HOXD3, LGALS3, PITX2, RASSF1 and TDRD1 as a molecular tool to predict biochemical recurrence (BCR) in patients with high-risk prostate cancer (PCa). METHODS A multiplexed nested methylation-specific PCR was applied to quantify promoter methylation of the selected markers in five cell lines, 42 benign prostatic hyperplasia (BPH) and 71 high-risk PCa tumor samples. Uni- and multivariate Cox regression models were used to assess the importance of the methylation level in predicting BCR. RESULTS A PCa-specific methylation marker HAAO in combination with HOXD3 and a hypomethylation marker TDRD1 distinguished PCa samples (>90 % of tumor cells each) from BPH with a sensitivity of 0.99 and a specificity of 0.95. High methylation of PITX2, HOXD3 and RASSF1, as well as low methylation of TDRD1, appeared to be significantly associated with a higher risk for BCR (HR 3.96, 3.44, 2.80 and 2.85, correspondingly) after correcting for established risk factors. When DNA methylation was treated as a continuous variable, a two-gene model PITX2 × 0.020677 + HOXD3 × 0.0043132 proved to be the best predictor of BCR (HR 4.85) compared with the individual markers. This finding was confirmed in an independent set of 52 high-risk PCa tumor samples (HR 11.89). CONCLUSIONS Differential promoter methylation of HOXD3, PITX2, RASSF1 and TDRD1 emerges as an independent predictor of BCR in high-risk PCa patients. A two-gene continuous DNA methylation model "PITX2 × 0.020677 + HOXD3 × 0.0043132" is a better predictor of BCR compared with individual markers.

Survival in patients with high-risk prostate cancer is predicted by miR-221, which regulates proliferation, apoptosis, and invasion of prostate cancer cells by inhibiting IRF2 and SOCS3

A lack of reliably informative biomarkers to distinguish indolent and lethal prostate cancer is one reason this disease is overtreated. miR-221 has been suggested as a biomarker in high-risk prostate cancer, but there is insufficient evidence of its potential utility. Here we report that miR-221 is an independent predictor for cancer-related death, extending and validating earlier findings. By mechanistic investigations we showed that miR-221 regulates cell growth, invasiveness, and apoptosis in prostate cancer at least partially via STAT1/STAT3-mediated activation of the JAK/STAT signaling pathway. miR-221 directly inhibits the expression of SOCS3 and IRF2, two oncogenes that negatively regulate this signaling pathway. miR-221 expression sensitized prostate cancer cells for IFN-γ-mediated growth inhibition. Our findings suggest that miR-221 offers a novel prognostic biomarker and therapeutic target in high-risk prostate cancer.

Intratumoral hypoxia as the genesis of genetic instability and clinical prognosis in prostate cancer

Intratumoral hypoxia is prevalent in many solid tumors and is a marker of poor clinical prognosis in prostate cancer. The presence of hypoxia is associated with increased chromosomal instability, gene amplification, downregulation of DNA damage repair pathways, and altered sensitivity to agents that damage DNA. These genomic changes could also lead to oncogene activation or tumor suppressor gene inactivation during prostate cancer progression. We review here the concept of repair-deficient hypoxic tumor cells that can adapt to low oxygen levels and acquire an aggressive "unstable mutator" phenotype. We speculate that hypoxia-induced genomic instability may also be a consequence of aberrant mitotic function in hypoxic cells, which leads to increased chromosomal instability and aneuploidy. Because both hypoxia and aneuploidy are prognostic factors in prostate cancer, a greater understanding of these biological states in prostate cancer may lead to novel prognostic and predictive tests and drive new therapeutic strategies in the context of personalized cancer medicine.

Biology of Bone Metastases in Prostate Cancer

Advanced-stage prostate cancer (PCa) patients are often diagnosed with bone metastases. Bone metastases remain incurable and therapies are palliative. PCa cells prevalently cause osteoblastic lesions, characterized by an excess of bone formation. The prevailing concept indicates that PCa cancer cell secrete an excess of paracrine factors stimulating osteoblasts directly or indirectly, thereby leading to an excess of bone formation. The exact mechanisms by which bone formation stimulates PCa cell growth are mostly elusive. In this review, the mechanisms of PCa cancer cell osteotropism, the cancer cell-induced response within the bone marrow/bone stroma, and therapeutic stromal targets will be summarized.

Expression cloning of a candidate prostate cancer oncogene

Genetic analysis, both karyotyping and comparative genomic hybridization, of prostate cancer cell lines and specimens have revealed multiple areas of concordant increases in DNA content. An increase of DNA in specific regions of the genome in cancer is often associated with the amplification of oncogenes. Based on these observations we have hypothesized that oncogenes are involved in the initiation or progression of prostate cancer. An expression cloning approach was utilized to identify candidate oncogenes in prostate cancer. ^ A full-length, unidirectional cDNA expression library was constructed from DU145 prostate cancer cells. The cDNA library was screened using CP12, a rat prostate epithelial cell line. In soft agarose assays, CP12 (parental or vector transfected) do not form colonies. However, upon the introduction of a number of known oncogenes CP12 becomes anchorage independent in soft agarose. Based on this in-vitro phenotypic shift, a DU145 cDNA library was stably transfected into CP12, and selected for anchorage independence. Two hundred fifty nine anchorage independent clones were isolated. Some colonies contained more than one insert, bringing the candidate oncogene pool to approximately 400. Seven inserts were sequenced at random. Using the sequences obtained, GenBank was screened, and matches were found with p53, PARG1, a mitochondrial ATPase, RNF6, and three unknown genes that mapped to Unigene clusters. As the pool of cDNA inserts appeared promising, overexpressed genes were further selected. From 259 clones, 17 clones were overexpressed more than 6-fold in DU145 compared to Normal Prostate. From the 17 clones, 12 cDNA inserts were strongly expressed in DU145 and were isolated for sequencing. ^ Two of the sequences, 1G6 and 3E9, were identical. Expression of 1G6/2G9/3E9 was tested by RT-PCR. 1G6/2G9/3E9 was not expressed in normal prostate, but was expressed in all prostate cancer cell lines tested as well as six prostate cancer samples. When retransfected into CP12, 1G6/2G9/3E9 induced the formation of foci and anchorage independent colonies. Thus, functional and expression data suggest that 1G6/2G9/3E9 may be a prostate cancer oncogene. ^

Genetic alterations associated with prostate cancer progression

Prostate cancer is the second most commonly diagnosed cancer among men in the United States. In this study, evidence is presented to support the hypothesis that specific chromosomal aberrations (involving one or more chromosomal regions) are associated with prostate cancer progression from organ-confined to locally advanced tumors and that some aberrations seen in high frequency in metastatic tumors may also be present in a subset of primary tumors. To determine the appropriate approach to address this hypothesis, I have established a modified CGH protocol by microdissection and DOP-PCR for use in detecting chromosomal changes in clinical prostate tumor specimens that is more sensitive and accurate than conventional CGH methods. I have successfully performed the improved CGH protocol to screen for genetic changes of 24 organ confined (pT2) and 21 locally advanced (pT3b) clinical prostate cancer specimens without metastases (N0M0). Comparisons of tumors by stage or Gleason scores following contingency table analysis showed that seven regions of the genome differed significantly between pT2 and pT3b tumors or between low and high Gleason tumors suggesting that these regions may be important in local prostate cancer progression. These included losses on 6p21–25, 6q24–27, 8p, 10q25–26, 15q22–26, and 18cen–q12 as well as gain of 3p13–q13. Multivariate analyses showed that loss of 8p (step1) and loss of 6q25–26 (or 6p21–25 or 10q25–26) (step 2) were predictive of pathologic stage or Gleason groups with 80% accuracy. Additional 5–7 steps in the multivariate model increased the predictive value to 91–95%. Comparison of the CGH data from the primary prostate tumors of this study with those obtained from published literature on metastases and recurrent tumors showed that the clinically more aggressive stage pT3b tumors shared more abnormalities in high frequency with metastases and recurrent tumors than less aggressive stage pT2 tumors. Furthermore, loss of 11cen–q22 was shared only between the primary tumors and metastases while gain of Xcen–q13 and loss of 18cen–q12 were in common between primary and recurrent tumors. These analyses suggest that the multistage model of prostate cancer progression is not linear and that some early primary tumors may be predisposed to metastasize or evolve into recurrent tumors due to the presence of specific genetic alterations. ^

Alteration of CEACAM1 gene transcription in prostate cancer cells: The role of AR, Sp2, and HDAC

Cell to cell adhesion molecule (CEACAM1), a type II tumor suppressor, has been found to be down-regulated in prostate cancer cells. The mechanism that causes CEACAM1's down-regulation in tumorigenesis is unknown. Here we show that the transcriptional activity of CEACAM1 is decreased in prostate cancer cells. This decrease is not due to methylation of the CEACAM1's promoter, but rather to the alteration of transcription factors regulating CEACAM1 expression. ^ Since androgen/androgen receptors (AR) are potent regulators of prostate growth and differentiation, their role on CEACAM1 gene transcription was examined. The androgen receptor could directly increase CEACAM1 transcriptional activity in a ligand dependent manner by interacting with an AR consensus element that resides in the CEACAM1 promoter. However, AR binding to the CEACAM1 promoter is not related to the loss of CEACAM1 during prostate cancer progression. ^ Further analysis enabled us to determine the particular region in the CEACAM1 promoter that mediates a decrease in CEACAM1 transcriptional activity in prostate cancer cells. Upon further examination, we found that this CEACAM1 promoter region interacts with the Sp1, Sp2, and Sp3 transcription factors. However, only Sp2 expression was found to increase in prostate cancer cells. Inhibiting Sp2 from binding to the CEACAM1 promoter caused an increase in CEACAM1 transcriptional activity in prostate cancer cells. In addition, over-expressing Sp2 in normal prostate cells resulted in a decrease in CEACAM1 transcriptional activity and endogenous protein expression. These observations suggest that Sp2 is a transcription repressor of CEACAM1. Furthermore, prostate cancer cells treated with trichostatin A (TSA), a specific histone deacetylase (HDAC) inhibitor, activated CEACAM1 transcriptional activity. This implies that HDACs are involved in CEACAM1 transcriptional activity. Mutation of the Sp2 DNA binding region on the CEACAM1 promoter inhibited TSA activation of CEACAM1 transcriptional activity. This indicates that HDACs inhibit CEACAM1 transcriptional activity through Sp2. Base on these results, we propose that Sp2 is critical for down-regulating CEACAM1 expression, and one mechanism by which Sp2 represses CEACAM1 expression is by recruiting HDAC to the CEACAM1 promoter in prostate cancer cells. Collectively, these findings provide novel insights into mechanisms that cause the down-regulation of CEACAM1 expression in prostate cancer cells. ^

Calcium mobilization from the endoplasmic reticulum to the mitochondria during apoptosis in prostate cancer

Previous studies have implicated Ca2+ fluxes in the control of apoptosis but their exact roles in regulating the process remain obscure. Because Ca2+ can serve as a signal for cytochrome c release from isolated mitochondria, we hypothesized that alterations in intracellular Ca2+ compartmentalization might serve as a release signal in whole cells undergoing apoptosis. Exposure of human PC-3 prostate adenocarcinoma cells to staurosporine or DNA damaging agent (doxorubicin) but not to anti-Fas antibody led to early release of Ca2+ from the endoplasmic reticulum and subsequent accumulation of Ca2+ within mitochondria. Both events were blocked in cells stably transfected with Bcl-2 but were not affected by treatment with the pancaspase inhibitor, zVADfmk. The effects of staurosporine were associated with re-localization of Bax from the cytosol to both endoplasmic reticular and mitochondrial membranes. Neither ER Ca 2+ pool depletion nor mitochondrial Ca2+ uptake were observed in DU-145 cells that possess a frameshift mutation in the Bax gene unless wild-type Bax was restored via adenoviral gene transfer. Cytochrome c release and downstream features of apoptosis were attenuated by treatment with an inhibitor of mitochondria) Ca2+ uptake (RU-360). Although, direct pharmacological ER Ca2+ pool emptying in cells treated with thapsigargin did not lead to early cytochrome c release, pretreatment of cells with staurosporine dramatically sensitized mitochondria to thapsigargin-induced cytochrome c release. Together, our data demonstrate that ER-to-mitochondrial Ca2+ fluxes promote cytochrome c release and apoptosis in cells exposed to some (but not all) pro-apoptosic stimuli. ^

Bortezomib modulates TRAIL sensitivity in human bladder and prostate cancer

Tumor necrosis factor-related apoptosis-inducing ligand (Apo2L/TRAIL) is a member of the TNF superfamily of cytokines that can induce cell death through engagement of cognate death receptors. Unlike other death receptor ligands, it selectively kills tumor cells while sparing normal cells. Preclinical studies in non-human primates have generated much enthusiasm regarding its therapeutic potential. However, many human cancer cell lines exhibit significant resistance to TRAIL-induced apoptosis, and the molecular mechanisms underling this are controversial. Possible explanations are typically cell-type dependent, but include alterations of receptor expression, enhancement of pro-apoptotic intracellular signaling molecules, and reductions in anti-apoptotic proteins. We show here that the proteasome inhibitor bortezomib (Velcade, PS-341) produces synergistic apoptosis in both bladder and prostate cancer cell lines within 4-6 hours when co-treated with recombinant human TRAIL which is associated with accumulation of p21 and cdk1/2 inhibition. Our data suggest that bortezomib's mechanism of action involves a p21-dependent enhancement of caspase maturation. Furthermore, we found enhanced tumor cell death in in vivo models using athymic nude mice. This is associated with increases in caspase-8 and caspase-3 cleavage as well as significant reductions in microvessel density (MVD) and proliferation. Although TRAIL alone had less of an effect, its biological significance as a single agent requires further investigations. Toxicity studies reveal that the combination of bortezomib and rhTRAIL has fatal consequences that can be circumvented by altering treatment schedules. Based on our findings, we conclude that this strategy has significant therapeutic potential as an anti-cancer agent. ^

The effects of proteasome inhibition in chronic lymphocytic leukemia and prostate cancer

The use of proteasome inhibitors in cancer has received much attention with the recent FDA approval of bortezomib (Velcade/PS-341). However, in the chronic lymphocytic leukemia (CLL) clinical trial, bortezomib was not as effective as it was in vitro. Accordingly, results in prostate cancer were not remarkable, although regression of lymphadenopathy was observed. This response was also seen in CLL. ^ The proteasome degrades ∼80% of intracellular proteins. Although specific pathways affected by proteasome inhibitors are known, there are still unidentified mechanisms by which they induce apoptosis. The efficacy and mechanism of action of the reversible proteasome inhibitor bortezomib were compared to the novel irreversible inhibitor NPI-0052 in this study, and their mechanisms of action in CLL and prostate cancer were examined. ^ NPI-0052 inhibited proteasome activity and induced apoptosis with more rapid kinetics than bortezomib in CLL. Inhibition of proteasome activity with NPI-0052 was also more durable. Interestingly, bortezomib is cleared from the serum within 15min, which is insufficient time for bortezomib to effectively inhibit the proteasome. However, only 5min exposure was needed for NPI-0052 to produce maximal proteasome inhibition. The data suggest that bortezomib's slow kinetics and reversible nature limit its potential in vivo and the use of NPI-0052 should be considered. ^ In examining the mechanism(s) by which bortezomib and NPI-0052 induce apoptosis in CLL, both were found to elicit the ER stress pathway. A stromal cell co-culture system prevented apoptosis induced by both proteasome inhibitors, suggesting that if such factors in vivo were responsible for reducing bortezomib's efficacy, NPI-0052 would not prove useful either. Finally, Lyn, a Src family kinase (SFK), was decreased in response to bortezomib and NPI-0052 and correlated with apoptosis induction in CLL and prostate cancer. Both proteasome inhibitors specifically targeted Lyn rather than SFKs in general. ^ SFKs are overexpressed in cancer and involved in cell signaling, survival, and metastasis. In prostate cancer cells, both proteasome inhibition and Lyn-silencing significantly inhibited migration. Preliminary evidence also suggested that Lyn downregulation decreases invasion potential. Together, these data suggest that proteasome inhibitors are potential candidates for anti-metastasic therapy and further investigation is warranted for the use of Lyn-targeted therapy to treat metastases. ^