Tagged: Prostate Cancer

How Low Oxygen Shields Prostate Cancer from Ferroptosis Therapies

“Preclinical and clinical studies indicate that ferroptosis suppresses tumor growth, and dysregulation of ferroptosis promotes treatment resistance in cancer.”

Prostate cancer is one of the most common cancers in men. While treatment options have improved, advanced stages of the disease remain difficult to manage. One promising approach involves a process called ferroptosis. This is a type of programmed cell death that relies on iron and lipid oxidation to kill cancer cells by damaging specific fats in their outer membrane. These fats are especially vulnerable in environments with normal oxygen levels.

However, many prostate tumors grow in low-oxygen areas of the body, a condition known as hypoxia, where ferroptosis becomes less effective. A recent study, titled “Hypoxia induced lipid droplet accumulation promotes resistance to ferroptosis in prostate cancer,” and published on Oncotarget (Volume 16), explores how oxygen-poor environments help prostate cancer cells resist treatment and what strategies could help overcome this resistance.

The Study: How Low Oxygen Helps Prostate Cancer Resist Ferroptosis Treatments

A research team from the University of Arizona, led by Dr. Noel Warfel and Dr. Shailender Chauhan, studied how prostate cancer cells respond to ferroptosis-inducing drugs when oxygen levels are low. Their goal was to understand what changes happen inside cancer cells that help them survive under these conditions.

The Results: Prostate Cancer Cells Store Fats to Survive Ferroptosis in Low Oxygen Conditions

The researchers found that prostate cancer cells exposed to low-oxygen conditions were much less sensitive to ferroptosis-inducing drugs such as Erastin and RSL3. Even when the two drugs were combined to boost their effect, the cancer cells remained resistant.

Under hypoxia, the cancer cells changed how they processed fats. They produced fewer of the fragile fats that are typically targeted by ferroptosis and instead created more stable fats, which were stored in small compartments called lipid droplets. These droplets acted like protective storage units, shielding the vulnerable fats from oxidative damage.

The study also showed that hypoxia reduced the activity of genes like ACSL4 and LPCAT3, which help incorporate polyunsaturated fatty acids into cell membranes, fats that are crucial for making cells susceptible to ferroptosis. At the same time, the levels of oxidation-prone fats like phosphatidylethanolamines decreased, while more stable lipids such as cholesteryl esters and triglycerides increased.

The researchers attempted to block lipid droplet formation, but the results varied depending on the cell type, suggesting that other factors may also contribute to this resistance.

The Impact: Targeting Fat Storage May Improve Prostate Cancer Treatment

This study highlights the critical role of the tumor microenvironment, especially oxygen levels, in shaping how cancer cells respond to treatment. It suggests that ferroptosis-inducing drugs alone may not be effective against tumors growing in low-oxygen conditions.

To overcome this resistance, future therapies could include inhibitors that block the enzymes or pathways responsible for lipid droplet formation, making cancer cells more vulnerable to ferroptosis.

Future Perspectives and Conclusion

This study provides valuable insight into how prostate tumors resist ferroptosis-based therapies and points to new treatment strategies. Targeting how cancer cells manage and store fats, by preventing the buildup of lipid droplets or releasing stored fats, may help restore their sensitivity to ferroptosis. While more research is needed to fully understand this mechanism, the findings mark a step toward more effective cancer treatments. This approach could also be applied to other solid tumors that show similar resistance in low-oxygen environments.

Click here to read the full research paper published by Oncotarget.

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Oncotarget is an open-access, peer-reviewed journal that has published primarily oncology-focused research papers since 2010. These papers are available to readers (at no cost and free of subscription barriers) in a continuous publishing format at Oncotarget.com

Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Click here to subscribe to Oncotarget publication updates.

For media inquiries, please contact media@impactjournals.com.

A New Way to Target Resistant Prostate Cancer Cells

Currently, there is no effective therapy for CRPC.

Prostate cancer is the second most diagnosed cancer among men worldwide and remains a leading cause of cancer-related death. While early forms of the disease can usually be treated successfully, advanced cases remain a major challenge. Scientists have now discovered a new potential way to slow the growth of advanced, treatment-resistant prostate cancer. These results were recently published in Volume 16 of Oncotarget by researchers from the University of Cincinnati College of Medicine.

Understanding Advanced Prostate Cancer

Early-stage prostate cancer can often be treated successfully. Most treatments work by lowering testosterone levels or blocking the hormone from activating the androgen receptor (AR), which drives cancer growth.

In some patients, however, the disease progresses to castration-resistant prostate cancer (CRPC). Even with drastic reductions in testosterone levels, the tumors continue to grow at this stage. CRPC is much more difficult to treat, and current therapies such as hormone blockers or chemotherapy typically extend life by only a few months.

One reason for this resistance is that cancer cells often switch to a different form of the androgen receptor called AR-V7. This variant remains permanently active, even without testosterone, making hormone-based drugs less effective. Because of this, new treatment strategies that work independently of hormone levels are needed.

The Study: Targeting a New Weakness in Prostate Cancer Cells

In the study titled “Targeting PCNA/AR interaction inhibits AR-mediated signaling in castration resistant prostate cancer cells,” researchers Shan Lu and Zhongyun Dong from the University of Cincinnati College of Medicine investigated a new way to block CRPC growth.

They focused on an unexpected partnership between two proteins. One is the AR, the key driver of prostate cancer. The other is proliferating cell nuclear antigen (PCNA), a protein known for helping cells repair their DNA and grow.

The goal was to block the connection between AR and PCNA. To do so, researchers carried out experiments on several types of prostate cancer cell models: LNCaP cells (which express the full-length AR), 22Rv1 cells (which express both full-length AR and the resistant AR-V7 variant), R1-D567 cells (which express another AR variant), and PC-3 cells (which do not express AR and were used as a control).

The Results: Blocking PCNA Slows Prostate Cancer Cell Growth

The researchers discovered that PCNA binds to AR in two specific regions. In normal AR, testosterone strengthens this binding, but in the AR-V7 variant, the binding constantly happens, regardless of testosterone levels.

To break this link, the team designed a small peptide called R9-AR-PIP. This peptide places itself between AR and PCNA, preventing them from connecting. Once separated, AR could no longer attach to DNA or activate genes that promote prostate cancer growth, such as PSA and cyclin A2. As a result, cancer cell proliferation decreases, and cell death increases.

Researchers also tested another small molecule called PCNA-I1S, which blocks PCNA from entering the cell nucleus. This molecule produced similar effects as R9-AR-PIP, reducing AR activity, including the resistant AR-V7 form.

One key finding was that both small molecule treatments lowered the levels of cyclin A2, a protein often overproduced in CRPC and associated with poor outcomes.

Implications for Advanced Prostate Cancer Treatment

This study is the first to show that blocking the PCNA–AR partnership, either by blocking their direct interaction or by preventing PCNA from entering the nucleus, can slow the growth of prostate cancer cells, including those driven by AR-V7. Unlike current treatments, these approaches target the interaction itself rather than testosterone.

If developed into a clinical therapy, it could open a new path for treating late-stage prostate cancer, particularly for patients whose cancer no longer responds to hormone therapy. It also offers a way to slow cancer growth without the heavy side effects of chemotherapy.

Future Perspectives and Conclusion

These new findings are currently only available in preclinical studies. The next step will be to test these PCNA-targeting compounds in animal models and, eventually, in clinical trials. If successful, this strategy could lead to a new generation of treatments for advanced prostate cancer, even in cases that have become resistant to all current therapeutic options.

Click here to read the full research paper in Oncotarget.

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Oncotarget is an open-access, peer-reviewed journal that has published primarily oncology-focused research papers since 2010. These papers are available to readers (at no cost and free of subscription barriers) in a continuous publishing format at Oncotarget.com

Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Click here to subscribe to Oncotarget publication updates.

For media inquiries, please contact media@impactjournals.com.

AI for Improved PET/CT Attenuation Correction in Prostate Cancer Imaging

In this new study, researchers investigated an artificial intelligence (AI) tool that produces attenuation-corrected PET images while reducing radiation exposure for patients.

Positron Emission Tomography (PET) combined with Computed Tomography (CT) is a powerful imaging modality used in oncology for diagnosis, staging, and treatment monitoring. However, one limitation of PET/CT is the need for accurate attenuation correction (AC) to account for tissue density variations. Traditionally, low-dose CT scans are used for AC, but these contribute to patient radiation exposure.

In a new study, researchers Kevin C. Ma, Esther Mena, Liza Lindenberg, Nathan S. Lay, Phillip Eclarinal, Deborah E. Citrin, Peter A. Pinto, Bradford J. Wood, William L. Dahut, James L. Gulley, Ravi A. Madan, Peter L. Choyke, Ismail Baris Turkbey, and Stephanie A. Harmon from the National Cancer Institute proposed an artificial intelligence (AI) tool to generate attenuation-corrected PET (AC-PET) images directly from non-attenuation-corrected PET (NAC-PET) images, reducing the reliance on CT scans. Their research paper was published in Oncotarget’s Volume 15 on May 7, 2024, entitled, “Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN.”

“Sequential PET/CT studies oncology patients can undergo during their treatment follow-up course is limited by radiation dosage. We propose an artificial intelligence (AI) tool to produce attenuation-corrected PET (AC-PET) images from non-attenuation-corrected PET (NAC-PET) images to reduce need for low-dose CT scans.”

The Study

The researchers developed a deep learning algorithm based on a 2D Pix-2-Pix generative adversarial network (GAN) architecture. They used paired AC-PET and NAC-PET images from 302 prostate cancer patients. The dataset was split into training, validation, and testing cohorts (183, 60, and 59 studies, respectively). Two normalization strategies were employed: Standard Uptake Value (SUV)-based and SUV-Nyul-based. The AI model learned to generate AC-PET images from NAC-PET images, effectively bypassing the need for CT scans during PET/CT studies. The performance of the AI model was evaluated at the scan level using several metrics:

  • Normalized Mean Square Error (NMSE): A measure of the difference between predicted and ground truth AC-PET images. Lower NMSE indicates better performance.
  • Mean Absolute Error (MAE): Similar to NMSE, lower MAE signifies improved accuracy.
  • Structural Similarity Index (SSIM): Measures image similarity. Higher SSIM values indicate better alignment between AC-PET and ground truth images.
  • Peak Signal-to-Noise Ratio (PSNR): Evaluates image quality. Higher PSNR values correspond to better image fidelity.

The AI model demonstrated promising results, achieving competitive performance across all metrics. The choice of normalization strategy (SUV-based or SUV-Nyul-based) did not significantly impact the model’s effectiveness.

The proposed AI tool has several clinical implications. By eliminating the need for low-dose CT scans, patients are exposed to less ionizing radiation during PET/CT studies. Additionally AC-PET images can be generated directly from NAC-PET data, simplifying the imaging process. The AI model also produces accurate AC-PET images, enhancing diagnostic confidence.

Conclusions

Deep learning-based AC-PET image generation using Pix-2-Pix GANs represents a promising approach to improve PET/CT imaging in prostate cancer patients. As AI continues to evolve, its integration into clinical practice may revolutionize how we acquire and interpret medical images, ultimately benefiting patient care. In summary, this research contributes to the ongoing efforts to enhance imaging techniques, reduce patient radiation exposure, and streamline clinical workflows.

“The Pix-2-Pix GAN model for generating AC-PET demonstrates SUV metrics that highly correlate with original images. AI-generated PET images show clinical potential for reducing the need for CT scans for attenuation correction while preserving quantitative markers and image quality.”

Click here to read the full research paper in Oncotarget.

Oncotarget is an open-access, peer-reviewed journal that has published primarily oncology-focused research papers since 2010. These papers are available to readers (at no cost and free of subscription barriers) in a continuous publishing format at Oncotarget.com

Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Click here to subscribe to Oncotarget publication updates.

For media inquiries, please contact media@impactjournals.com.

Trending with Impact: Bacterial Therapy Experiments in Prostate Cancer

Researchers reveal their positive findings from a study of bacterial cancer therapy using a strain of Salmonella typhimurium in mouse-modeled prostate cancer.

PC-3 human prostate cancer cells stained with blue Coomassie, under a differential interference contrast microscope. - Image
PC-3 human prostate cancer cells stained with blue Coomassie, under a differential interference contrast microscope.

The Trending with Impact series highlights Oncotarget publications attracting higher visibility among readers around the world online, in the news, and on social media—beyond normal readership levels. Look for future science news and articles about the latest trending publications here, and at Oncotarget.com.

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Over the past few decades, numerous studies have emerged using the promising strategy of bacteria as vehicles to deliver drugs or genes in tumor‐targeted therapies. Researchers say that bacterial cancer therapy may be able to overcome some of the limitations that conventional cancer therapy is stunted by, including the development of drug resistance. 

Researchers in this study—from Yale University in Connecticut, the University of Missouri, the Harry S. Truman Memorial Veterans Hospital, and the Cancer Research Center in Missouri, and DeSales University in Pennsylvania, U.S.—used a Salmonella typhimurium strain (CRC2631) of bacteria (previously reported to have tumor-targeting capabilities) in prostate cancer-positive mouse-models and evaluated its toxicity, targeting ability, and genetic stability.

“Here, we report the toxicological and in vivo tumor-targeting profiles of CRC2631 in the syngeneic and autochthonous mouse model of aggressive prostate cancer, TRAMP (Transgenic Adenocarcinoma of Mouse Prostate).”

“The B6FVB TRAMP model recapitulates some of the key genetic aspects of human prostate cancer.”

The Study

“VNP20009 is considered as the safety benchmark in bacterial cancer therapy development because it has been safely administered in human cancer patients [7, 30].”

“To determine the safety profile of CRC2631, we performed CRC2631 and VNP20009 comparative toxicological studies in TRAMP animals.”

The team focused on measuring toxicity through treatment-related weight loss and lethality. Groups of 14-week-old B6FVB TRAMP-positive mice were scanned using magnetic resonance imaging. Four mice were dosed with CRC2631, and four were dosed with VNP20009; both treated four times per week. Mice were weighed and monitored daily for four weeks.

Since the CRC2631 bacteria are cleared out through the liver, the researchers also sought to establish the impact of CRC2631 on liver pathology in this bacterial cancer therapy. Two groups of 31-week-old B6FVB TRAMP-positive mice were observed, one treated with four doses of CRC2631 and the other with saline (the control group) at three-day intervals. They used histological staining in the liver to observe differences in necrosis, inflammation, and extramedullary hematopoiesis between CRC2631 and the control group. The team then tested for lethality and the maximum tolerated dose of CRC2631.

“Next, we sought to determine the in vivo tumor-targeting capability of CRC2631 in TRAMP animals.”

Using fluorescence imaging and a chloramphenicol resistance cassette, researchers were able to observe the biodistribution of CRC2631 to determine its tumor-targeting capability in TRAMP-positive mice. Since they knew that CRC2631 is filtered through the liver and that enriched colonies may be found here, researchers used the liver as a way to compare the bacterial load in tumor tissues.

The researchers also tested CRC2631’s genetic stability by gauging its likelihood of regaining toxicity and/or losing tumor targeting capability by performing longitudinal, whole genome sequencing and short nucleotide polymorphism analyses.

“To determine the genetic stability of CRC2631 inside the host, we performed longitudinal whole genome sequencing and short nucleotide polymorphism (SNP) analyses of CRC2631 prior to treatment and tumor-passaged CRC2631 in B6 TRAMP (+) mice.”

In vitro, CRC2631 directly kills prostate cancer cells, however, in vivo, it does not lead to decreased tumor burden. The researchers believe this may be due to the effects of some kind of resistance mechanism in vivo, and tested a combined treatment method of CRC2631 and Invivomab—a checkpoint blockade—in the mouse model.

“CRC2631 targets and directly kills murine and human prostate cancer cells in vitro (Supplementary Figure 2), raising the possibility that unknown resistance mechanisms protect tumor cells from CRC2631-mediated cell death in vivo.”

Results

Researchers explain that in the first two weeks of the study, mice treated with CRC2631 and VNP20009 lost a comparable amount of weight. However, in the second half of the study, VNP20009-treated animals lost progressively more weight than those treated with CRC2631. This revealed that CRC2631 is less toxic than VNP20009.

“Consistent with CRC2631 being less toxic than VNP20009, the median survival time was 142 days for VNP20009 compared to 186 days for CRC2631 (Figure 1F).”

After evaluating effects in the liver from CRC2631, they found no differences between CRC2631 and the control group in liver necrosis, inflammation, or extramedullary hematopoiesis.

“Thus, in contrast to VNP20009, CRC2631 does not cause overt liver pathology.”

They established the maximum tolerated dose to be two doses of 5 × 10^7 colony forming units, administered three days apart. In the model used in fluorescence imaging, they found that CRC2631 was significantly colonized in the tumor tissue of mice when compared to colonization in the liver and, as the dosage increased, CRC2631 quantities in tumor tissues also increased.

“Taken together, these data indicate that CRC2631^iRFP720-cat targets primary tumors and metastases.”

Researchers revealed that it would take approximately 9375 days for CRC2631 to acquire a potential mutation in any specific gene. They determined CRC2631 to be a genetically stable tumor-targeting mechanism. Next, they collected results from the CRC2631 and Invivomab immune checkpoint blockade combination.

“We turned our focus to an interaction between CRC2631 and immune cells and asked whether tumor-targeted CRC2631 generates an anti-tumor immune response that tumors rapidly inhibit via immune checkpoint mechanisms.”

They found that tumor burdens were significantly reduced in the combination treatment method, and ultimately, that CRC2631 treatment with a checkpoint blockade combination reduces the metastatic burden in mouse-modeled prostate cancer.

Conclusion

The study as a whole revealed to the researchers that CRC2631 safely targets primary tumors and metastases, is less toxic than VNP20009, does not cause overt liver pathology, and that, in combination with an immune checkpoint blockade such as Invivomab, it reduces metastatic burden in vivo in B6FVB TRAMP-positive mice.

“These findings indicate that CRC2631 is a genetically stable biologic that safely targets tumors. Moreover, tumor-targeted CRC2631 induces anti-tumor immune activity and concordantly reduces metastasis burden in the setting of checkpoint blockade.”

With more research, this method may soon be studied as an effective clinical treatment option for human prostate cancer.

Click here to read the full scientific study, published in Oncotarget.

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