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Low-affinity immunoglobulin gamma Fc region receptor III-A (FcγRIIIa) is a cell surface protein that belongs to a family of Fc receptors that facilitate the protective function of the immune system against pathogens. However, the role of FcγRIIIa in prostate cancer (PCa) progression remained unknown. In this study, we found that FcγRIIIa expression was present in PCa cells and its level was significantly higher in metastatic lesions than in primary tumors from the PCa cohort (P = 0.006). PCa patients with an elevated level of FcγRIIIa expression had poorer biochemical recurrence (BCR)-free survival compared with those with lower FcγRIIIa expression, suggesting that FcγRIIIa is of clinical importance in PCa. We demonstrated that overexpression of FcγRIIIa increased the proliferative ability of PCa cell line C4-2 cells, which was accompanied by the upregulation of androgen receptor (AR) and phosphatidylinositol-4-phosphate 5-kinase alpha (PIP5Kα), which are the key players in controlling PCa progression. Conversely, targeted inhibition of FcγRIIIa via siRNA-mediated knockdown or using its inhibitory antibody suppressed growth of xenograft PC-3 and PC-3M prostate tumors and reduced distant metastasis in xenograft mouse models. We further showed that elevated expression of AR enhanced FcγRIIIa expression, whereas inhibition of AR activity using enzalutamide led to a significant downregulation of FcγRIIIa protein expression. Similarly, inhibition of PIP5K1α decreased FcγRIIIa expression in PCa cells. FcγRIIIa physically interacted with PIP5K1α and AR via formation of protein-protein complexes, suggesting that FcγRIIIa is functionally associated with AR and PIP5K1α in PCa cells. Our study identified FcγRIIIa as an important factor in promoting PCa growth and invasion. Further, the elevated activation of FcγRIII and AR and PIP5K1α pathways may cooperatively promote PCa growth and invasion. Thus, FcγRIIIa may serve as a potential new target for improved treatment of metastatic and castration-resistant PCa.

Sialic acid (SA) is a monosaccharide usually linked to the terminus of glycan chains on the cell surface. It plays a crucial role in many biological processes, and hypersialylation is a common feature in cancer. Lectins are widely used to analyze the cell surface expression of SA. However, these protein molecules are usually expensive and easily denatured, which calls for the development of alternative glycan-specific receptors and cell imaging technologies. In this study, SA-imprinted fluorescent core-shell molecularly imprinted polymer particles (SA-MIPs) were employed to recognize SA on the cell surface of cancer cell lines. The SA-MIPs improved suspensibility and scattering properties compared with previously used core-shell SA-MIPs. Although SA-imprinting was performed using SA without preference for the α2,3-and α2,6-SA forms, we screened the cancer cell lines analyzed using the lectins Maackia Amurensis Lectin I (MAL I, α2,3-SA) and Sambucus Nigra Lectin (SNA, α2,6-SA). Our results show that the selected cancer cell lines in this study presented a varied binding behavior with the SA-MIPs. The binding pattern of the lectins was also demonstrated. Moreover, two different pentavalent SA conjugates were used to inhibit the binding of the SA-MIPs to breast, skin, and lung cancer cell lines, demonstrating the specificity of the SA-MIPs in both flow cytometry and confocal fluorescence microscopy. We concluded that the synthesized SA-MIPs might be a powerful future tool in the diagnostic analysis of various cancer cells.

Purpose: There is an urgent need for developing new biomarker tools to accurately predict treatment response of breast cancer, especially the deadly triple-negative breast cancer. We aimed to develop gene-mutation-based machine learning (ML) algorithms as biomarker classifiers to predict treatment response of first-line chemotherapy with high precision. Methods: Random Forest ML was applied to screen the algorithms of various combinations of gene mutation profiles of primary tumors at diagnosis using a TCGA Cohort (n = 399) with up to 150 months follow-up as a training set and validated in a MSK Cohort (n = 807) with up to 220 months follow-up. Subtypes of breast cancer including triple-negative and luminal A (ER+, PR+ and HER2−) were also assessed. The predictive performance of the candidate algorithms as classifiers was further assessed using logistic regression, Kaplan–Meier progression-free survival (PFS) plot, and univariate/multivariate Cox proportional hazard regression analyses. Results: A novel algorithm termed the 12-Gene Algorithm based on mutation profiles of KRAS, PIK3CA, MAP3K1, MAP2K4, PTEN, TP53, CDH1, GATA3, KMT2C, ARID1A, RunX1, and ESR1, was identified. The performance of this algorithm to distinguish non-progressed (responder) vs. progressed (non-responder) to treatment in the TCGA Cohort as determined using AUC was 0.96 (95% CI 0.94–0.98). It predicted progression-free survival (PFS) with hazard ratio (HR) of 21.6 (95% CI 11.3–41.5) (p < 0.0001) in all patients. The algorithm predicted PFS in the triple-negative subgroup with HR of 19.3 (95% CI 3.7–101.3) (n = 42, p = 0.000). The 12-Gene Algorithm was validated in the MSK Cohort with a similar AUC of 0.97 (95% CI 0.96–0.98) to distinguish responder vs. non-responder patients, and had a HR of 18.6 (95% CI 4.4–79.2) to predict PFS in the triple-negative subgroup (n = 75, p < 0.0001). Conclusions: The novel 12-Gene algorithm based on multitude gene-mutation profiles identified through ML has a potential to predict breast cancer treatment response to therapies, especially in triple-negative subgroups patients, which may assist personalized therapies and reduce mortality.

PIP5K1α has emerged as a promising drug target for the treatment of castration-resistant prostate cancer (CRPC), as it acts upstream of the PI3K/AKT signaling pathway to promote prostate cancer (PCa) growth, survival and invasion. However, little is known of the molecular actions of PIP5K1α in this process. Here, we show that siRNA-mediated knockdown of PIP5K1α and blockade of PIP5K1α action using its small molecule inhibitor ISA-2011B suppress growth and invasion of CRPC cells. We demonstrate that targeted deletion of the N-terminal domain of PIP5K1α in CRPC cells results in reduced growth and migratory ability of cancer cells. Further, the xenograft tumors lacking the N-terminal domain of PIP5K1α exhibited reduced tumor growth and aggressiveness in xenograft mice as compared to that of controls. The N-terminal domain of PIP5K1α is required for regulation of mRNA expression and protein stability of PIP5K1α. This suggests that the expression and oncogenic activity of PIP5K1α are in part dependent on its N-terminal domain. We further show that PIP5K1α acts as an upstream regulator of the androgen receptor (AR) and AR target genes including CDK1 and MMP9 that are key factors promoting growth, survival and invasion of PCa cells. ISA-2011B exhibited a significant inhibitory effect on AR target genes including CDK1 and MMP9 in CRPC cells with wild-type PIP5K1α and in CRPC cells lacking the N-terminal domain of PIP5K1α. These results indicate that the growth of PIP5K1α-dependent tumors is in part dependent on the integrity of the N-terminal sequence of this kinase. Our study identifies a novel functional mechanism involving PIP5K1α, confirming that PIP5K1α is an intriguing target for cancer treatment, especially for treatment of CRPC.

Sialyl-Tn (STn or sialyl-Thomsen-nouveau) is a carbohydrate antigen expressed by more than 80% of human carcinomas. We here report a strategy for ratiometric STn detection and dual-color cancer cell labeling, particularly, by molecularly imprinted polymers (MIPs). Imprinting was based on spectroscopic studies of a urea-containing green-fluorescent monomer 1 and STn-Thr-Na (sodium salt of Neu5Acα2-6GalNAcα-O-Thr). A few-nanometer-thin green-fluorescent polymer shell, in which STn-Thr-Na was imprinted with 1, other comonomers, and a cross-linker, was synthesized from the surface of red-emissive carbon nanodot (R-CND)-doped silica nanoparticles, resulting in dual fluorescent STn-MIPs. Dual-color labeling of cancer cells was achieved since both red and green emissions were detected in two separate channels of the microscope and an improved accuracy was obtained in comparison with single-signal MIPs. The flow cytometric cell analysis showed that the binding of STn-MIPs was significantly higher (p < 0.001) than that of non-imprinted polymer (NIP) control particles within the same cell line, allowing to distinguish populations. Based on the modularity of the luminescent core-fluorescent MIP shell architecture, the concept can be transferred in a straightforward manner to other target analytes.

Metastasis is the leading cause of cancer death because of a lack of early diagnosis tools and efficient treatment drugs. The lipid kinase phosphatidylinositol 4-phosphate 5 kinase (PIP5K1α) has been shown to play a vital role in the PI3K/AKT and KRAS signaling pathways. My PhD work, therefore, aims: (i) to study the role of PIP5K1α as a potential target for cancer treatment and the utility of its inhibitor ISA-2011B for the treatment of castration-resistant prostate cancer (CRPC) and pancreatic cancer, (ii) to establish genetically engineered mouse models and murine syngeneic models to recapitulate pancreatic cancer progression and test targeted anticancer drugs, (iii)  to utilize the state-of-the-art molecularly imprinting technique for cancer biomarker detection.

My thesis work has shown a clear inhibitory effect of ISA-2011B on human CRPC cell lines C4-2, DU145, and PC-3. The siRNA-mediated downregulation of PIP5K1α and ISA-2011B treatments both showed inhibition of the in vitro growth in all three cell lines. The PC-3 cell and its xenograft tumor can be inhibited by tamoxifen or ISA-2011B treatment alone, and a combination treatment from both compounds can selectively block the ERα and PIP5K1α/AKT network. The results, therefore, suggest that it is possible to treat CRPC by targeting PIP5K1α/AKT and ERα pathways.

We established the KPC [Krastm4Tyj Trp53tm1Brn Tg(Pdx1-Cre/Esr1*)] mouse model, in which spontaneous pancreatic ductal adenocarcinoma (PDAC) develops under tamoxifen induction. Three PDAC cell lines bearing KRASG12D and P53 mutations from spontaneous tumors were established and characterized. ISA-2011B in vitro treatment on those cell lines showed that KRASG12D and pErk were significantly decreased in at least one of the cell lines. It suggests that PIP5K1α is a potential target, and its inhibitor ISA-2011B is a promising drug for treating KRAS-mutated PDAC. The syngeneic PDAC model was also prepared by subcutaneous injection of the three cell lines back into the KPC mice, which will be used as an in vivo model to study the function of PIP5K1α in PDAC further.

We developed molecularly imprinted polymers (MIPs) for the potential biomarker Neu5Acα2-6GalNAcα-O-Ser/Thr (STn), as well as the non-imprinted polymers(NIPs) as a control. We identified human PDAC cell lines CFPAC-1 and BxPC-3 are STn-positive and -negative cells, respectively. Although STn-MIPs have a higher affinity than NIPs to both cancer cell lines, STn-MIPs cannot differentiate the STn-positive CFPAC-1 cells from the STn-negative BxPC-3 cells. It remains challenging to apply MIPs to detect biological molecules.

Our data provide a novel therapeutic strategy to treat advanced cancers such as CRPC and KRAS-mutated PDAC by targeting PIP5K1α-associate PI3K/AKT and/or KRAS signaling pathways.

Cancerspridning är den vanligaste orsaken till dödlighet. Det saknar förförande biomedicinska och diagnostiska metoder för tidigt upptäckten av cancer samt finns inte många effektiva och skrädd-sydda läkemedel. Lipidkinas såsom fosfatidylinositol 4-fosfat 5 kinas (PIP5K1α) har en viktig roll i styra cancer-specifika signalvägar PI3K/AKT och KRAS som ge upphov till cancerspridning. Målen för min doktorands forskningsprojekt är: (i) att studera rollen av PIP5K1α som ett potentiellt mål-protein i cancerspridning och testa PIP5K1α-hämmare ISA-2011B som läkemedel för att behandla aggressiva prostatacancer och bukspottkörtelcancer som är mycket dödliga cancertyper. (ii) att etablera genetiskt modifierade musmodeller som bära genetiska förändringar likande bukspottkörtelcancer i människor. Använda dessa musmodeller för att testa nya läkemedel för riktade behandling. (iii) att använda nya tekniken för att utveckla biomarkör för att upptäckten av cancer i tidigt fas.

Vi har visat att PIP5K1α-hämmare ISA-2011B ha goda och specifika effekter på prostatacancer celler. Behandling av cancerceller genom att hämma PIP5K1α gen- och protein-uttrycket led till cancercellens dödlighet och hämning av cancertillväxten i musmodeller och i cell-baserade modeller. Vidare har vi visade att läkemedel såsom östrogen-hämmare tamoxifen kan användas i kombination med ISA-2011B för att förhindra tumörtillväxt genom att selektivt blockera cancer signalvägar associerade med ERα, PIP5K1α/AKT-nätverket. Våra Resultat tyder på att det är möjligt att behandla prostatacancer genom att rikta in sig på PIP5K1α/AKT cancer-nätverket och/eller östrogen-vägen.

Vi etablerade genetiskt modifierade musmodeller som bära genetiska förändringar likande bukspottkörtelcancer i patienter. Vi testade effekt av ISA-2011B på tumörceller som odlade från tumör i dessa musmodeller. Vi har visat att ISA-2011B behandling led till minskade uttrycket av cancersignalvägar såsom KRASG12D och pErk. Våra resultat tyder på att PIP5K1α är ett lovande mål-protein, och dess hämmare ISA-2011B är ett potentiellt läkemedel för behandling av KRAS-muterad bukspottkörtelcancer. 

Vi utvecklade potentiella biomarkören som heter molekylärt präglade polymerer (MIPs) Neu5Acα2-6GalNAcα-O-Ser/Thr (STn). Vi visade att MIPs med STn kan känna igen cancerceller framförallt aggressiva bukspottkörtelcancer celler. Vi hoppas att STn-MIPs som nya biomarkör kan utvecklas vidare för att kunna upptäcka cancerceller i blodet, eftersom cancerceller i blodet har mycket högre halter av STn men inte normala blodceller. På så sätt patienter med risk att få eller ha bukspottkörtelcancer i tidig stadium kan få tidig diagnostik. 

Sammanfattningsvis våra studier kan bidra till en ny terapeutisk strategi för att behandla avancerad cancer och kan rikta in cancer-specifika PIP5K1α-associerade PI3K/AKT och KRAS-signalvägar.

Selective ERα modulator, tamoxifen, is well tolerated in a heavily pretreated castration‐resistant prostate cancer (PCa) patient cohort. However, its targeted gene network and whether expression of intratumor ERα due to androgen‐deprivation therapy (ADT) may play a role in PCa progression is unknown. In this study, we examined the inhibitory effect of tamoxifen on castration‐resistant PCa in vitro and in vivo. We found that tamoxifen is a potent compound that induced a high degree of apoptosis and significantly suppressed growth of xenograft tumors in mice, at a degree comparable to ISA‐2011B, an inhibitor of PIP5K1α that acts upstream of PI3K/AKT survival signaling pathway. Moreover, depletion of tumor‐associated macrophages using clodronate in combination with tamoxifen increased inhibitory effect of tamoxifen on aggressive prostate tumors. We showed that both tamoxifen and ISA‐2011B exert their on‐target effects on prostate cancer cells by targeting cyclin D1 and PIP5K1α/AKT network and the interlinked estrogen signaling. Combination treatment using tamoxifen together with ISA‐2011B resulted in tumor regression and had superior inhibitory effect compared with that of tamoxifen or ISA‐2011B alone. We have identified sets of genes that are specifically targeted by tamoxifen, ISA‐2011B or combination of both agents by RNA‐seq. We discovered that alterations in unique gene signatures, in particular estrogen‐related marker genes are associated with poor patient disease‐free survival. We further showed that ERα interacted with PIP5K1α through formation of protein complexes in the nucleus, suggesting a functional link. Our finding is the first to suggest a new therapeutic potential to inhibit or utilize the mechanisms related to ERα, PIP5K1α/AKT network and MMP9/VEGF signaling axis, providing a strategy to treat castration‐resistant ER‐positive subtype of prostate cancer tumors with metastatic potential.

Cancer cells facilitate growth and metastasis by using multiple signals from the cancer-associated microenvironment. However, it remains poorly understood whether prostate cancer (PCa) cells may recruit and utilize bone marrow cells for their growth and survival. Furthermore, the regulatory mechanisms underlying interactions between PCa cells and bone marrow cells are obscure. In this study, we isolated bone marrow cells that mainly constituted populations that were positive for CD11b and Gr1 antigens from xenograft PC-3 tumor tissues from athymic nu/nu mice. We found that the tumor-infiltrated cells alone were unable to form tumor spheroids, even with increased amounts and time. By contrast, the tumor-infiltrated cells together with PCa cells formed large numbers of tumor spheroids compared with PCa cells alone. We further utilized xenograft athymic nu/nu mice bearing bone metastatic lesions. We demonstrated that PCa cells were unable to survive and give rise to colony-forming units (CFUs) in media that were used for hematopoietic cell colony-formation unit (CFU) assays. By contrast, PC-3M cells survived when bone marrow cells were present and gave rise to CFUs. Our results showed that PCa cells required bone marrow cells to support their growth and survival and establish bone metastasis in the host environment. We showed that PCa cells that were treated with either siRNA for PIP5K1α or its specific inhibitor, ISA-2011B, were unable to survive and produce tumor spheroids, together with bone marrow cells. Given that the elevated expression of PIP5K1α was specific for PCa cells and was associated with the induced expression of VEGF receptor 2 in PCa cells, our findings suggest that cancer cells may utilize PIP5K1α-mediated receptor signaling to recruit growth factors and ligands from the bone marrow-derived cells. Taken together, our study suggests a new mechanism that enables PCa cells to gain proliferative and invasive advantages within their associated host microenvironment. Therapeutic interventions using PIP5K1α inhibitors may not only inhibit tumor invasion and metastasis but also enhance the host immune system.

Currently, no effective targeted therapeutics exists for treatment of metastatic prostate cancer (PCa). Given that matrix metalloproteinases 9 (MMP9) and its associated vascular endothelial growth factor (VEGF) are critical for tumor vascularization and invasion under castration-resistant condition, it is therefore of great importance to define the functional association and interplay between androgen receptor (AR) and MMP9 and their associated key survival and invasion pathways in PCa cells. Here, we found that there was a significant correlation between MMP9 and AR protein expression in primary and metastatic PCa tissues, and a trend that high level of MMP9 expression was associated with poor prognosis. We demonstrated that constitutive activation of AR increased expression of MMP9 and VEGF/VEGF receptors. We further showed that AR exerts its effect on MMP9/VEGF signaling axis through PIP5K1α/AK. We showed that MMP9 physically interacted with PIP5K1α via formation of protein-protein complexes. Furthermore, elevated expression of MMP9 enhanced ability of AR to activate its target gene cyclin A1. The elevated sequential activation of AR/PIP5K1α/AKT/MMP9/VEG signaling axis contributed to increased invasiveness and growth of metastatic tumors. Conversely, treatment with PIP5K1α inhibitor significantly suppressed invasiveness of PCa cells expressing constitutively activated AR, this was coincident with its inhibitory effect of this inhibitor on AR/MMP9/VEGF pathways. Our results suggest that AR and MMP9-associated network proteins may be effectively targeted by blocking PIP5K1α/AKT pathways using PIP5K1α inhibitor in metastatic PCa.