Tagged: Cancer Research

A New Approach for Cancer Treatment: The Surprising Relationship Between KLRG1 and PD-1

The anti-correlation of PD-1 and KLRG1 expression in human tumor infiltrating CD8 T cells suggests the potential for combination therapy supra-additive benefits of anti-PD-1 and anti-KLRG1 therapies.”

An unexpected link between KLRG1 and PD-1, two key immune system proteins, was revealed in a study recently published in Oncotarget. This discovery could help explain why some cancer immunotherapy treatments are less effective for certain patients and lead to new therapeutic strategies.

How the Immune System Fights Cancer

The immune system is a powerful defense mechanism against cancer, with CD8 T cells acting as the primary soldiers. These specialized immune cells identify and destroy tumor cells. However, cancer can cleverly evade this attack by manipulating immune checkpoints—natural “breaks” on the immune system that prevent it from overreacting and damaging healthy tissue.

One of the most studied checkpoints is PD-1 (Programmed Death-1), a receptor on T cells that acts as an “off switch” when activated by tumor cells. This mechanism suppresses the immune response, allowing cancer to grow without control. In response, researchers have developed treatments called PD-1 inhibitors, which block this “off switch” and keep T cells active. 

The Study: Investigating KLRG1 and PD-1 in Tumor-Fighting T Cells

In the study titled “Anti-correlation of KLRG1 and PD-1 expression in human tumor CD8 T cells,” Dr. Steven A. Greenberg from Harvard Medical School analyzed publicly available gene expression data from various cancer types, including lung cancer, melanoma, and colorectal cancer. His goal was to identify immune-related proteins that could complement existing therapies, such as PD-1 inhibitors.

The Challenge: Overcoming Limitations of PD-1 Immunotherapy

PD-1 inhibitors have transformed cancer treatment by enabling the immune system to fight back. However, these therapies have notable limitations. Some patients do not respond to treatment, and many experience only moderate or short-term benefits. Even combining PD-1 inhibitors with other therapies often provides only additive effects rather than true synergy, where the combined treatment outperforms the sum of its parts. This has left researchers searching for combinations that could deliver “supra-additive” effects.

Results: The Surprising Anti-Correlation Between KLRG1 and PD-1

One protein, KLRG1, stood out. This checkpoint receptor has received little attention in cancer research. Historically, it was thought to merely mark aging, or “senescent,” T cells—cells that are no longer active. However, Dr. Greenberg’s research revealed that KLRG1 plays a more dynamic role in regulating immune responses, challenging its previously underestimated significance.

The study found that in tumor-infiltrating CD8 T cells, which are crucial in the immune system’s fight against cancer, the levels of PD-1 and KLRG1 move in opposite directions. As these T cells mature and become more effective at killing cancer cells, they show an increase in KLRG1 expression while PD-1 levels decrease. This pattern of anti-correlation was consistently observed across the different types of cancer. 

The Breakthrough: A New Approach to Combination Therapy

Unlike conventional combination strategies, which often target multiple positively correlated exhaustion markers (such as PD-1, TIM-3, and LAG-3), targeting the negatively correlated KLRG1 introduces a fresh approach. 

KLRG1-positive T cells are highly differentiated and effective at destroying cancer cells, while PD-1-positive cells are in a more ‘exhausted’ state. Combining treatments to target both populations could achieve true synergy, offering a promising solution to the limitations of current immunotherapy.

The Potential for Cancer Patients

If future research confirms the therapeutic potential of targeting KLRG1, this could revolutionize cancer immunotherapy. Patients who do not respond well to PD-1 inhibitors alone might benefit from adding KLRG1-targeting therapies, offering a lifeline for those with limited options.

This approach also holds promise for treating difficult cancers like lung cancer and melanoma. By tailoring treatments to individual immune profiles, clinicians could deliver personalized and precise immunotherapy, improving outcomes and reducing the risk of cancer recurrence.

Combining KLRG1 with PD-1 inhibitors could provide cancer patients with renewed hope, leading to improved health and extended survival.

Conclusion and Future Directions

The discovery of the relationship between KLRG1 and PD-1 provides an exciting new avenue for cancer treatment. By addressing the limitations of current immunotherapies, this approach has the potential to deliver more effective and longer-lasting treatments.

The next steps will include preclinical studies and clinical trials to evaluate the safety and effectiveness of combining KLRG1-targeting therapies with PD-1 inhibitors. If successful, this approach could transform cancer immunotherapy and offer hope to millions of patients worldwide.

Click here to read the full research paper in Oncotarget.

The Hidden Risks of At-Home Genetic Cancer Tests

“While the test poses minimal physical risk, there is no assurance of “safety” from psychological distress.”

Would you take a test to find out your cancer risk? At-home genetic testing makes it easy, but experts warn that these tests may create more harm than good.

A New Approach to Genetic Testing

Genetic testing has traditionally been performed under the supervision of healthcare providers, with genetic counseling to help patients navigate their results. This approach ensures that individuals receive proper guidance, reducing the emotional and practical challenges of interpreting complex genetic information.

In September 2023, the United States Food and Drug Administration (FDA) approved a new test called the Invitae Common Hereditary Cancers Panel. This test checks for changes in 48 genes linked to hereditary cancers, including breast, ovarian, and Lynch syndrome-related cancers. What makes it different is that it can be ordered online and taken at home with no doctor required.

While the convenience of these tests is appealing, health experts have raised serious concerns. An editorial titled “Pitfalls and Perils from FDA-Approved Germ-line Cancer Predisposition Tests,” authored by Dr. Wafik S. El-Deiry, Editor-in-Chief of Oncotarget, and Dr. Eli Y. Adashi, both from Brown University, highlights the potential risks of using these tests without professional guidance.

Concerns Raised by Experts

Experts warn that while at-home genetic tests sound simple, they often leave users with more questions than answers. A common issue is the detection of Variants of Uncertain Significance, genetic changes that are not definitively linked to cancer risk. Without proper context, these ambiguous findings can lead to unnecessary anxiety or uninformed decisions.

Another concern is the potential impact on minors. Without medical oversight, children may take these tests without fully understanding their implications. If the findings are not shared with healthcare providers or added to medical records, critical follow-up care could be missed, leading to long-term health consequences. Additionally, these tests are rarely covered by health insurance, adding financial burden to individuals.

The Importance of Professional Guidance

Genetic counseling is essential to make sense of genetic test results. When testing is done under medical supervision, it can guide individuals toward proactive decisions, such as increased screenings or preventive treatments. Without this support, results may be misinterpreted, causing unnecessary worry or missed opportunities for intervention. Requiring access to genetic counseling ensures that all users fully understand their results and can take appropriate next steps.

What Needs to Change?

The editorial calls on the FDA to implement stricter regulations to ensure the safe and responsible use of at-home genetic tests. Ensuring that the test results are integrated into healthcare systems is another critical measure, particularly for minors who may need long-term follow-up.

Testing companies must also be transparent about the limitations of their products. For instance, not all detected genetic changes are linked to cancer risk, and this should be communicated clearly to set realistic expectations and avoid unnecessary alarm.

The Future of At-Home Genetic Testing

At-home genetic cancer tests mark a significant step forward in healthcare by providing easier access to information about hereditary cancer risks. However, to truly benefit individuals, these tests must include safeguards such as genetic counseling, integration with healthcare systems, and clear communication about their limitations.

With proper regulation and professional guidance, genetic testing has the potential to save lives by identifying risks early and enabling preventive care. Without these measures, however, the benefits of this innovation could be diminished by confusion and missed opportunities for effective healthcare.

Conclusion

At-home genetic cancer tests have great potential, but their convenience should not come at the cost of proper support. Without the right guidance, these tests can have negative consequences. Finding a balance between accessibility and healthcare support, such as genetic counseling, is crucial. This will help ensure they are safe and effective while empowering people to make informed decisions about their health.

Click here to read the full 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.

A New Path to Tumor Suppression: The Promise of PG3

“Restoration of the p53 pathway has been a long-term goal in the field of cancer research to treat tumors with mutated p53 and aggressive clinical behavior.”

The p53 protein, often called the “guardian of the genome,” is crucial for preventing cancer by repairing damaged DNA or triggering cell death in cells that cannot be repaired. However, in about half of all cancers, the p53 gene is mutated, making the protein ineffective. A groundbreaking study has introduced PG3, a new compound that restores tumor suppression without relying on p53, offering a new option to treat resistant cancers.

The Study: A New Approach to Tumor Suppression

Published in Oncotarget on September 17, 2024, the study titled “Integrated stress response (ISR) activation and apoptosis through HRI kinase by PG3 and other p53 pathway-restoring cancer therapeutics,” introduces PG3, a small molecule with a completely new approach to treating cancer. This groundbreaking research was conducted by Dr. Xiaobing Tian and Oncotarget Editor-in-Chief Dr. Wafik S. El-Deiry from Brown University.

The researchers tested PG3 on cancer cell lines with various p53 mutations, as well as on cells that lacked p53 entirely.

The Challenge: The Limitations of Current Cancer Treatments

For years, scientists have focused on developing cancer treatments targeting p53, a protein that plays a central role in suppressing tumors. However, these treatments face significant challenges. With thousands of known p53 mutations, most therapies can only target specific mutations, limiting their effectiveness. Worse, these treatments fail entirely in cancers where the p53 protein is missing, which occurs in some of the most aggressive tumors. Additionally, many current drugs that target p53 are toxic for healthy cells, causing serious side effects. These limitations have driven researchers to find alternative approaches, like PG3, that do not rely on the presence of p53.

The Results: A Safer, More Effective Cancer Therapy

The study found that PG3 and its earlier version, PG3-Oc, were highly effective in killing cancer cells across five different types of cancer. Notably, PG3 worked regardless of whether the cancer cells had mutated, missing, or fully functional p53 proteins.

PG3 builds upon the earlier version PG3-Oc, retaining its potent anti-cancer effects while addressing key limitations. Unlike its predecessor, PG3 is more water-soluble and less toxic to normal cells. These improvements make PG3 a safer and more practical candidate for cancer therapy.

The Breakthrough: Unlocking a New Path to Treat Cancer

PG3 represents a groundbreaking advance in cancer therapy by employing a completely novel mechanism. Instead of trying to repair or reactivate the dysfunctional p53 protein, PG3 bypasses p53 altogether, taking an alternative and innovative route to kill cancer cells.

PG3 works by activating a protein called HRI kinase, which initiates the integrated stress response (ISR). The ISR is a natural mechanism that cells use to manage internal stress, such as damage caused by cancer. Through this pathway, PG3 activates ATF4, a transcription factor that switches on critical tumor-suppressing genes like PUMA and p21.

These genes are vital for inducing programmed cell death, or apoptosis, which eliminates damaged or cancerous cells. This novel mechanism enables PG3 to effectively destroy cancer cells, even in cases where conventional therapies fail, such as tumors that lack functional p53.

Therapeutic Potential: Advancing Toward Personalized Cancer Care

PG3 has the potential to revolutionize cancer treatment by overcoming the resistance of p53-deficient tumors to existing therapies. By restoring critical tumor-suppressing signals in cancer cells that are otherwise resistant, PG3 offers a new approach to treating some of the most aggressive and challenging cancers.

What makes PG3 especially promising is its combination of versatility and safety. It is effective across a wide range of cancer types, including colorectal, ovarian, and p53-null cancers, while being less toxic to healthy cells, significantly reducing the side effects commonly associated with cancer treatments. These qualities position PG3 as a great option in the future of personalized cancer therapy, offering new hope for patients with limited treatment options.

Next Steps: Bringing PG3 Closer to Patients

While these findings are promising, the study highlights areas for further research. Future work will focus on improving PG3’s delivery and stability in living organisms, ensuring it performs as effectively in clinical settings as it does in the lab. Clinical trials will be the next step to determine PG3’s real-world potential as a cancer therapeutic.

Conclusion

PG3 represents a potential paradigm shift in the treatment of p53-deficient tumors, addressing the limitations of therapies that target mutant p53. By activating an alternative pathway through the integrated stress response, PG3 offers a promising and innovative approach to combating some of the most aggressive cancers

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.

Small Cell Lung Cancer: Advancing Precision Medicine with Biomarker Research

“Precision medicine is an innovative approach to disease prevention and treatment that considers differences in people’s genes, injuries, environments, and lifestyles to target the right therapies to the right patients at the right time.”

Could a deeper understanding of one of the deadliest lung cancers lead to more effective treatments? Recent research offers a promising way forward, aiming to improve patient outcomes and provide clinicians with valuable insights.

Small Cell Lung Cancer (SCLC) is a particularly aggressive form of lung cancer. It spreads fast and does not always respond well to conventional therapies such as chemotherapy. Although SCLC accounts for around 15% of all lung cancer cases, survival rates are extremely low. Only less than 5% of patients live more than five years after diagnosis. These alarming statistics highlight the critical need for new treatments. A team of researchers from the Federal University of Ceará, working together with collaborators from Argentina and Spain, may have found part of the solution.

The Study: Finding Clues in Tumor Biomarkers

Published in  Oncotarget Volume 15 on October 11, 2024, the study is titled ​​“Relationship between the expressions of DLL3, ASC1, TTF-1 and Ki-67: First steps of precision medicine at SCLC.” Led by corresponding author, Dr. Fabio Tavora, the research team analyzed tumor samples from 64 adult patients diagnosed with SCLC between 2022 and 2024. Their focus was on specific biomarkers, molecules that reveal the unique biology of a tumor, and that could lead to better ways to improve diagnosis and treatment for SCLC.

The Challenge: Why Current Treatments Are Not Enough

Current treatments for SCLC, like chemotherapy, are based on a “one size fits all” approach. While chemotherapy can initially decrease tumor size, its effects are often temporary, in addition to the harsh side effects that the patients can experience. This type of universal treatment overlooks each tumor’s specific biological characteristics, which is one of the main reasons chemotherapy has such low long-term success rates for SCLC patients.

To address this problem, the researchers studied the presence of distinct biomarkers. Since these molecules usually differ from tumor to tumor, they can provide valuable insights into tumor behavior. The goal was to discover new ways to personalize treatments, making them more efficient.

Technology: Using Digital Tools for Precision

In addition to standard techniques like immunohistochemistry, the researchers used QuPath, a novel digital pathology tool. QuPath enabled the researchers to evaluate tumor samples with unprecedented precision and resolution, revealing differences in biomarker expression between patients and between tumors, thus demonstrating that no two tumors are identical. This highlighted the importance of tailored treatment options.

The Results: Two Important Biomarkers

The study revealed two key biomarkers with the potential to improve SCLC treatment: Delta-like ligand 3 (DLL3) and Thyroid Transcription Factor-1 (TTF-1). 

The Breakthrough: DLL3 and TTF-1 as Game-Changing

DLL3, a protein identified almost exclusively on the surface of SCLC tumor cells, has emerged as a potential therapeutic target. In this study, DLL3 was found in more than 70% of the SCLC tumors and its expression was tumor-specific. This finding makes it a suitable target for precision medicine, as treatments can target DLL3-positive cells while avoiding healthy tissue.

TTF-1, traditionally used as a diagnostic marker for lung cancer, showed potential as a prognostic biomarker in this study. Patients with TTF-1-positive tumors demonstrated better survival rates. The study also discovered a link between the expressions of TTF-1 and DLL3, suggesting that these two biomarkers could be used together to help choose treatments.

Therapeutic Potential: Toward Personalized Treatments

Unlike traditional therapies, which take a generic approach, biomarker-based treatments are tailored to the unique characteristics of each tumor. This personalization could make treatments more effective while reducing the side effects that patients experience. 

Samuel Silva, the study’s first author, during an interview, emphasized the importance of the relationship between TTF-1 and DLL3. TTF-1 serves as both diagnostic and survival prediction tool, while DLL3 creates new opportunities for targeted therapy. Together, these biomarkers offer hope for more effective and individualized treatments for SCLC.

One promising development is the recent FDA approval of Tarlatamab, a therapeutic compound that uses the body’s immune system to target and destroy DLL3-positive tumor cells. This is an example of how biomarkers like DLL3 can be successfully translated into clinical settings.

Looking Ahead: What’s Next for SCLC Research

While this study represents a significant step forward on SCLC treatment, there is still more work to be done. In his interview, Silva explained that his team plans “… to look into the genomics and transcriptomics landscapes and the interactions of all these molecules,” aiming to better understand the molecular mechanisms driving SCLC and to further refine the therapeutic strategies. 

Future clinical trials will be necessary to validate these findings and assess how effective and reliable DLL3 and TTF-1 are in guiding treatment for SCLC patients. With continued research, the ultimate goal is to make precision medicine a standard option for all SCLC patients.

Conclusion

SCLC is one of the most challenging cancers to treat, but this study offers hope. QuPath played a key role in showing how biomarkers like DLL3 and TTF-1 can guide more personalized and effective treatments. By focusing on these biomarkers, researchers are leading the way for better ways to diagnose and treat this aggressive disease. Precision medicine, which tailors treatments to each patient’s unique needs, promises to improve survival rates and quality of life for those facing SCLC.

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.

Cancer Dormancy and Tumor Recurrence: New Insights for Breast Cancer

“Cancer dormancy, followed by recurrence remains a poorly understood phenomenon in both cancer biology and oncology.”

Cancer dormancy is a phenomenon in which, after treatment, residual cancer cells remain inactive in the body for months or even years. During this time, patients often show no signs of the disease. These dormant cells can unpredictably reawaken, leading to tumor recurrence—a significant challenge in cancer treatment. Despite progress in cancer research, the factors that control dormancy and subsequent reactivation remain poorly understood. Identifying these factors and understanding how cancer cells dormancy and reactivation occur could be crucial to preventing cancer recurrence. This question was the focus of a recent study titled Initiation of Tumor Dormancy by the Lymphovascular Embolus,” published in Oncotarget Volume 15, on October 11, 2024. In this blog, we will look at the key findings and implications of this important work.

The Study: Investigating Dormancy in Breast Cancer Tumors

This study, led by Yin Ye, Justin Wang, Michael G. Izban, Billy R. Ballard, and Sanford H. Barsky from Meharry Medical College and Scripps Mercy Hospital, aimed to investigate the origins of cancer dormancy, an often overlooked aspect of cancer progression, focusing specifically on breast cancer.

Using various breast cancer study models—such as patient-derived mice, spheroids, and cell lines—the researchers investigated how dormancy might start within small clusters of cells known as lymphovascular emboli, which detach from the primary tumor. These clusters can travel through the bloodstream or lymphatic system, settle in distant organs, and remain inactive until conditions change, triggering their reactivation and growth. To further validate their findings, the team analyzed tissue samples using tissue microarrays, allowing them to observe dormancy indicators directly in human breast cancer cases.

The Challenge: Elusive Dormant Cancer Cells

Dormant cancer cells pose a unique challenge because they grow slowly and often evade immune system detection, making them difficult to target with conventional treatments. These cancer cells typically exist as small, inactive clusters called micrometastases, which can later transition back into an active state and lead to tumor recurrence. Preventing this recurrence requires understanding how these cells “decide” to stay dormant or reawaken.

Dormancy periods vary depending on the type of cancer and the individual patient, making it even more important to pinpoint the factors that influence cancer cell dormancy and reactivation. Identifying these factors could transform our approach to cancer treatment.

The Results: A Breakthrough in Cancer Dormancy Mechanisms

The team found that cancer cells within lymphovascular emboli may enter dormancy through a reduction in key cellular activities. Two important players in this process are mTOR signaling and E-cadherin proteolysis. mTOR is a cellular pathway involved in regulating cell growth and metabolism, which, when reduced, slows the cell’s activity to a near standstill, facilitating dormancy. Meanwhile, E-cadherin, a protein that helps cells stick together, undergoes a process called proteolysis, or breakdown, through enzymes like calpain 2. This proteolysis further stabilizes the dormant state, keeping the cells inactive until reactivation signals arise. The researchers also discovered that the PI3K signaling pathway influences these dormancy-associated changes in mTOR and E-cadherin. Together, these signaling modifications within the three-dimensional structure of lymphovascular emboli reveal how dormant cancer cells persist in a state of low activity until conditions favor their reactivation.

The Potential: Toward New Treatments for Preventing Cancer Recurrence

This study demonstrates the potential for targeted interventions to prevent dormant cells from reawakening. Developing therapies that act on mTOR and E-cadherin pathways might provide cancer patients with a new line of defense against recurrence, especially in cancers prone to prolonged dormancy, such as breast cancer. Although further research is needed to determine the exact clinical applications, these findings provide a promising roadmap for future treatment innovations.

Conclusion

This work represents a significant step forward in our understanding of cancer dormancy and recurrence. By uncovering the mechanisms behind cancer cell dormancy, this research brings us closer to a future where cancer recurrence can be controlled—or even prevented entirely. While more studies are necessary to explore the broader implications for other types of cancer, this study highlights a critical aspect of cancer biology and offers hope for more effective and targeted treatments in the near future.

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.

Targeting Stem Cell-like Traits: How miR-10b Inhibition Treats Metastatic Breast Cancer

“Our results demonstrate that inhibition of miR-10b using MN-anti-miR10b decreases the stemness of breast cancer cells, supporting dedifferentiation as a mechanism through which the nanodrug may function as a therapy.”

While there have been significant improvements in breast cancer detection and treatment, the outlook for metastatic breast cancer remains bleak, with only a 30% five-year survival rate. This is largely due to existing therapies’ inability to effectively target the unique characteristics of metastatic cells. One key factor in metastasis is miR-10b, a small noncoding RNA known to influence cancer cell invasion, migration, viability, and proliferation.

In their paper, researchers Alan Halim, Nasreen Al-Qadi, Elizabeth Kenyon, Kayla N. Conner, Sujan Kumar Mondal, Zdravka Medarova, and Anna Moore from Michigan State University’s Precision Health Program, College of Human Medicine, and College of Veterinary Medicine, and Transcode Therapeutics Inc. in Newton, Massachusetts, shared findings showing that inhibiting miR-10b impairs breast cancer cell stemness. Their research paper, entitled, “Inhibition of miR-10b treats metastatic breast cancer by targeting stem cell-like properties” was published in Volume 15 of Oncotarget on August 26, 2024.

THE STUDY

In this study, researchers investigated the effects of repeated MN-anti-miR10b treatments on local and distant metastases. They observed over 93% inhibition of miR-10b in cryosectioned samples and noted reduced miR-10b expression in lymph node and lung metastases after weekly dosing. RNA sequencing revealed upregulation of genes, including ATP6V0D2, EPHB2, KLF4, KLF7, NCOR2, TMEM268, and VDR, associated with developmental processes. Functional enrichment analysis highlighted biological processes such as cell differentiation and tissue development in these upregulated genes.

The researchers also explored the link between miR-10b expression and stem-like properties in cancer cells. Elevated miR-10b levels were found in stem-like breast cancer cells. MN-anti-miR10b reduced stemness-related traits in MDA-MB-231 and MCF-7 cells, as shown by reduced aldehyde dehydrogenase activity and smaller spheroids in tumorsphere assays. These results suggest that inhibiting miR-10b effectively targets stem-like properties in metastatic breast cancer, offering potential therapeutic benefits.

DISCUSSION

Inhibition of miR-10b has been shown to be an effective treatment strategy for metastatic breast cancer. The nanodrug MN-anti-miR10b was found to significantly downregulate miR-10b expression in cancer cells, leading to decreased cell migration, invasion, proliferation, and viability. The researchers investigated the time course of miR-10b inhibition and confirmed that the nanodrug effectively reduced miR-10b expression in both regional and distant metastases. RNA sequencing analysis revealed that the inhibition of miR-10b by MN-anti-miR10b upregulated genes associated with developmental processes, indicating an effect on the stem cell-like properties of cancer cells.

The study also demonstrated a correlation between miR-10b expression and stemness in cancer cells. Cells with increased stemness, identified by the CD44+/CD24- surface marker phenotype, showed higher miR-10b expression. Treatment with MN-anti-miR10b resulted in decreased stemness-associated properties, as observed through the Aldefluor assay and tumorsphere formation assays. These findings suggest that MN-anti-miR10b has a differentiation effect on cancer cells and targets dedifferentiated, stem cell-like cancer cells. The upregulation of genes associated with developmental processes by MN-anti-miR10b further supports the notion that cancer cells overexpressing miR-10b are in a less-developed, more stem cell-like state.

Overall, the study provides valuable insights into the therapeutic effects of miR-10b inhibition using MN-anti-miR10b in metastatic breast cancer. The findings suggest that targeting miR-10b and stem cell-like properties in cancer cells could be a promising approach for the treatment of various types of metastatic carcinoma.

IN CONCLUSION

Despite the progress made in breast cancer detection and treatment, the prognosis for metastatic breast cancer remains poor. A significant factor contributing to metastasis is miR-10b, a small RNA molecule involved in cancer cell invasion and migration. The researchers have developed a nanodrug called MN-anti-miR10b that delivers antisense oligomers to inhibit miR-10b in cancer cells.

In mouse models of metastatic triple-negative breast cancer, MN-anti-miR10b has shown promising results. It prevents the development of metastases and can eliminate existing metastases when combined with chemotherapy, even after treatment cessation. Recent studies have also linked miR-10b to the acquisition of stem cell-like properties in cancer cells, including chemotherapy resistance.

In this study, the researchers provide transcriptional evidence that inhibiting miR-10b with MN-anti-miR10b activates developmental processes in cancer cells. They also demonstrate that stem-like cancer cells have higher expression of miR-10b. Importantly, treatment of breast cancer cells with MN-anti-miR10b reduces their stemness, indicating that the nanodrug can effectively target and impair the stem-like properties of breast cancer cells.

These findings highlight the potential of MN-anti-miR10b as a treatment option for breast cancer subtypes characterized by stem-like properties. By inhibiting miR-10b, the nanodrug could disrupt the stemness of cancer cells and may offer a new approach to improve the outcomes for metastatic breast cancer patients.

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.

Key Roles of MIF, DDT, and CD74 in Melanoma Prognosis and Therapy

In this new study, researchers present the first retrospective study evaluating differential gene expression of MIF, DDT, and relevant pathway markers in relation to clinical outcomes in melanoma patients.

Macrophage Migration Inhibitory Factor (MIF) and its homolog D-dopachrome Tautomerase (DDT) have been implicated as drivers of tumor progression in various cancers. Recent evidence suggests that MIF could be a therapeutic target in immune checkpoint inhibition (ICI) resistant melanomas; however, clinical evidence for MIF, and particularly for DDT, remains limited.

Researchers Caroline Naomi Valdez, Gabriela Athziri Sánchez-Zuno, Lais Osmani, Wael Ibrahim, Anjela Galan, Antonietta Bacchiocchi, Ruth Halaban, Rajan P. Kulkarni, Insoo Kang, Richard Bucala, and Thuy Tran from Yale UniversityOregon Health and Science UniversityCancer Early Detection Advanced Research Center (CEDAR); and the Department of Veterans Affairs Portland Health Care System analyzed 97 patients treated at Yale for melanoma between 2002–2020. Their research paper was published in Oncotarget’s Volume 15 on July 19, 2024, entitled, “Prognostic and therapeutic insights into MIF, DDT, and CD74 in melanoma.”

In their study, the researchers noted that melanoma is one of the most aggressive and lethal forms of cancer, with an estimated 99,700 new cases expected in 2024. The development of immune checkpoint inhibitors (ICIs) has significantly transformed cancer treatment and is now a cornerstone for managing several cancers, including advanced melanoma. Anti-CTLA-4 inhibitors, which target regulatory T cells, and anti-PD-1/L-1 inhibitors, which target activated T cells, dendritic cells, and tumor cells, have reshaped melanoma management, leading to improvements in progression-free and overall survival, with up to 22% of patients experiencing a complete response (CR). Data suggests that the ratio of CD74:MIF and CD74:DDT expression in melanoma may provide prognostic value and potentially serve as clinical biomarkers for patients with melanoma.

The study significantly expands on previous research by including a larger cohort of individuals and employing a comprehensive approach to defining high and low MIF and DDT expression. The survival analysis findings are consistent with existing literature, demonstrating that increased MIF levels are associated with worse prognosis in patients with melanoma, particularly in those with advanced disease or evidence of metastases.

The data presented in this research paper supports existing evidence on the intratumoral effects of MIF and DDT on tumor permissiveness, primarily through immune modulation, with implications for melanoma prognosis. The findings suggest that MIF and DDT may serve as therapeutic targets and biomarkers for predicting treatment response and survival, with CD74:MIF and CD74:DDT showing promise as markers of ICI response in patients undergoing treatment. Further investigation is needed to fully understand the role and functions of DDT in the melanoma microenvironment, as well as its distinct, non-overlapping functions in tumorigenesis.

“Our study is the first to report survival findings in association with intratumor DDT expression and CD74:DDT expression level ratio.”

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.

Combining Regorafenib and TAS102 to Target Gastrointestinal Cancers and Overcome Cancer Stemness

In this research paper, researchers demonstrate a promising new treatment option for refractory metastatic gastrointestinal cancers using a combination of two FDA-approved drugs.

Researchers Jun Zhang, Lanlan Zhou, Shuai Zhao, and Wafik S. El-Deiry from Fox Chase Cancer Center and Brown University explore the potential of combining TAS102 (trifluridine/tipiracil) and regorafenib as a treatment option for gastrointestinal (GI) cancers. Their research paper, published in Oncotarget’s Volume 15 on July 2, 2024, is entitled, “Regorafenib synergizes with TAS102 against multiple gastrointestinal cancers and overcomes cancer stemness, trifluridine-induced angiogenesis, ERK1/2 and STAT3 signaling regardless of KRAS or BRAF mutational status.”

The Study

The combination of two FDA-approved drugs, TAS102 and regorafenib, has shown promising results in preclinical studies. TAS102 is an oral formulation consisting of trifluridine (FTD) and tipiracil hydrochloride (TPI). It has been approved by the US FDA for the treatment of refractory metastatic colorectal cancer and metastatic gastric cancer. Regorafenib is a multi-target tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation and is approved for the treatment of gastrointestinal cancers.

Recent studies have shown that TAS102, in combination with regorafenib, can lead to improved survival and restrict tumor progression. The combination therapy has been found effective in multiple gastrointestinal cancer cell lines, including colorectal, gastric, and pancreatic cancers.

Cancer stem cells (CSCs) are a subpopulation of cancer cells that contribute to tumor growth, recurrence, and chemo-resistance. Targeting CSCs can be an effective approach to overcoming therapy resistance and preventing tumor progression. TAS102, in combination with regorafenib, has been shown to reduce the stemness of colorectal cancer cells, inhibiting the formation of colonospheres and reducing the CD133+ subpopulation.

Tumor angiogenesis, the formation of new blood vessels, is essential for tumor growth and metastasis. TAS102 monotherapy has been found to promote angiogenesis in tumors harboring a BRAF mutation. However, when combined with regorafenib, TAS102-induced angiogenesis is abrogated, as regorafenib inhibits the formation of microvessels in xenografted tumors.

The combination therapy of TAS102 and regorafenib regulates several signaling pathways, including ERK1/2 and STAT3, and modulates the expression of thymidylate synthase (TS), which is involved in drug resistance.

Conclusion

The combination of TAS102 and regorafenib shows synergistic effects in preclinical studies, inhibiting tumor growth, reducing the stemness of cancer cells, and inhibiting angiogenesis. Further research is needed to explore the efficacy of this combination therapy in clinical settings and to identify potential biomarkers of drug sensitivity. The TAS102 plus regorafenib drug combination may be further tested in gastric and other GI cancers.

“Recent studies have shown that TAS102 in combination with regorafenib can lead to improved survival and restrict tumor progression.”

Click here to read the full research paper in Oncotarget.

Oncotarget is an open-access, peer-reviewed journal that publishes primarily oncology-focused research papers. 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), and Dimensions (Digital Science).

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Novel Triple-Drug Combination to Fight Pancreatic Cancer

In this new study, researchers unveiled a promising synergistic strategy for combating pancreatic cancer.

In the ever-evolving quest for effective cancer treatments, researchers are continuously exploring innovative combinatorial approaches that exploit the vulnerabilities of malignant cells. In a new study, researchers Benigno C. Valdez, Apostolia M. Tsimberidou, Bin Yuan, Yago Nieto, Mehmet A. Baysal, Abhijit Chakraborty, Clark R. Andersen, and Borje S. Andersson from The University of Texas MD Anderson Cancer Center unveiled a promising synergistic strategy for combating pancreatic cancer (a cancer known for its resistance to conventional therapies). On June 3, 2024, their research paper was published in Oncotarget’s Volume 15, entitled, “Synergistic cytotoxicity of histone deacetylase and poly-ADP ribose polymerase inhibitors and decitabine in pancreatic cancer cells: Implications for novel therapy.”

The Role of HDACs in Cancer

By harnessing the collective power of decitabine, histone deacetylase inhibitors (HDACis), and poly(ADP-ribose) polymerase inhibitors (PARPis), a multifaceted approach has demonstrated remarkable cytotoxic effects against pancreatic cancer cells, offering hope for improved treatment outcomes. Recognizing the pivotal role of HDACs in cancer pathogenesis, researchers have developed HDAC inhibitors, which induce gene expression, triggering cell differentiation, cell cycle arrest, and apoptosis in cancer cells. These inhibitors, including vorinostat, romidepsin, panobinostat, and belinostat, have received regulatory approval for treating hematologic malignancies. While HDACis have shown promise in preclinical studies, their clinical efficacy as monotherapy is limited. However, when combined with other anticancer drugs, enhanced anti-tumor activity has been observed, sparking interest in exploring synergistic combinations.

Histone acetylation, a critical epigenetic modification, governs gene expression and is catalyzed by histone acetyltransferases. This process involves the acetylation of positively charged lysine residues on the N-terminal tails of histones, reducing their interactions with negatively charged DNA and resulting in a relaxed chromatin structure that facilitates increased transcriptional activation and gene expression. Conversely, histone deacetylases (HDACs) remove acetyl groups, leading to a condensed, transcriptionally inactive chromatin state. Dysregulation of HDACs is implicated in the downregulation of tumor suppressor genes, contributing to the development and progression of various malignancies, including pancreatic cancer.

The DNA Repair Conundrum: Exploiting PARP Inhibitors

Another key player in the battle against pancreatic cancer is the poly(ADP-ribose) polymerase (PARP) enzyme family. These enzymes catalyze the process of poly(ADP-ribosyl)ation (PARylation), which is crucial for DNA repair mechanisms. By binding to DNA breaks, PARP enzymes self-ribosylate and recruit DNA repair proteins, facilitating the restoration of genomic integrity. Recognizing the pivotal role of PARP in DNA repair, researchers have developed potent PARP inhibitors (PARPis), such as olaparib and talazoparib. These agents have demonstrated remarkable efficacy in patients with metastatic pancreatic adenocarcinoma harboring BRCA1/2 germline mutations, which impair homologous recombination repair (HRR) pathways.

Decitabine, a nucleoside cytidine analogue, has emerged as a potent ally in the fight against pancreatic cancer. When phosphorylated, decitabine is incorporated into the growing DNA strand, inhibiting methylation and inducing DNA damage by inactivating and trapping DNA methyltransferase on the DNA. This process activates transcriptionally silenced DNA loci, potentially sensitizing cancer cells to other therapeutic interventions. Interestingly, decitabine has been associated with sensitivity in patients with KRAS-mutated pancreatic cancer, a prevalent genetic alteration in this malignancy.

The Synergistic Triad: Decitabine, HDACis, & PARPis Unite

In the current study, the researchers explored various combinations of HDACis (panobinostat and vorinostat), PARPis (talazoparib and olaparib), and decitabine in pancreatic cancer cell lines. The findings were nothing short of remarkable. The combination of HDACis and PARPis resulted in synergistic cytotoxicity across all tested cell lines, including those harboring wild-type BRCA1/2 (BxPC-3 and PL45) and a BRCA2 mutation (Capan-1).

The addition of decitabine further amplified the synergistic cytotoxicity observed with HDACis and PARPis, triggering increased apoptosis, as evidenced by elevated cleavage of caspase 3 and PARP1. Moreover, the triple-drug combinations induced heightened DNA damage, as demonstrated by increased phosphorylation of histone 2AX. The synergistic combinations disrupted various DNA repair pathways, as indicated by decreased levels of key proteins involved in the DNA damage response, such as ATM, BRCA1, and ATRX.

Remarkably, the triple-drug combinations altered the epigenetic regulation of gene expression by reducing the levels of subunits of the nucleosome remodeling and deacetylase (NuRD) complex, a crucial regulator of chromatin remodeling and deacetylation processes.

Mechanistic Insights & Clinical Implications

The synergistic cytotoxicity observed in this study can be attributed to the collective impact of HDACis, PARPis, and decitabine on various cellular processes. HDACis modulate the acetylation status of proteins, influencing genomic instability and potentially sensitizing cancer cells to DNA-damaging agents. Concurrently, PARPis inhibit protein PARylation, a critical process in DNA repair mechanisms. The addition of decitabine potentiates these effects by inducing DNA damage and activating transcriptionally silenced DNA loci. This multifaceted approach effectively disrupts DNA repair pathways, triggers apoptosis, and modulates epigenetic regulation, collectively amplifying cytotoxic effects against pancreatic cancer cells.

The findings of this study hold significant clinical implications for treating pancreatic cancer, a malignancy with a dismal prognosis and limited therapeutic options. By leveraging the synergistic interactions between HDACis, PARPis, and decitabine, this novel combinatorial approach has the potential to improve treatment outcomes and prolong survival for patients with this aggressive disease. The study provides a strong rationale for further exploration of these combinations in clinical trials, potentially leading to personalized therapeutic strategies tailored to individual patient profiles and tumor characteristics. However, additional preclinical investigations and rigorous clinical trials are necessary to validate these findings and address potential challenges, such as drug toxicities and pharmacodynamic interactions. By embracing a collaborative and multidisciplinary approach, the scientific community can transform these discoveries into tangible clinical benefits, advancing cancer care and offering hope to those battling this formidable disease.

Click here to read the full research paper in Oncotarget.

Oncotarget is an open-access, peer-reviewed journal that publishes primarily oncology-focused research papers. 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), and Dimensions (Digital Science).

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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).

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