Tagged: research paper

CREB5: A Master Regulator of Stem Cell-Like Programs in Prostate Cancer Progression

April 7, 2026

“In this study, through both computational and molecular characterization of PC cell lines, we determined that CREB5 is associated with basal PC and drives SCL traits.”

Androgen receptor (AR) signaling has long been the central driver of prostate cancer progression and the primary target of therapies for advanced disease. Yet, a significant subset of tumors either fail to respond or develop resistance, often by switching to AR-independent programs that resemble basal or stem cell-like states. Understanding what drives these aggressive, therapy-resistant phenotypes is a critical challenge in oncology.

A research paper, titled “CREB5 regulates stem cell-like transcriptional programs to enhance tumor progression in prostate cancer” was published in Volume 17 of Oncotarget by a multi-institutional team of researchers, identifies a key molecular regulator of this process and reveals how it promotes tumor progression.

The work was led by first author Allison Makovec from the Department of Medicine and the Masonic Cancer Center at the University of Minnesota – Twin Cities, and University of Kansas Medical Center, along with corresponding authors Emmanuel S. Antonarakis and Justin Hwang (both from the Department of Medicine and the Masonic Cancer Center at the University of Minnesota – Twin Cities). The team’s investigation demonstrates that the transcription factor CREB5 drives basal and stem cell-like transcriptional programs, interacts with AP-1 proteins, and enhances tumor-forming capacity in prostate cancer cells.

The Discovery: CREB5 Links to Basal and Stem Cell-Like Programs

The researchers began by analyzing transcriptomic data from 493 primary prostate tumors (TCGA) and 208 castration-resistant prostate cancers (CRPC) from the SU2C dataset. They ranked approximately 20,000 genes based on their correlation with gene signatures defining luminal, basal, club, and hillock epithelial cell identities.

CREB5 ranked among the top genes associated with basal, club, and hillock identities but was among the lowest associated with luminal identity—the opposite pattern of AR itself. In both primary and CRPC samples, CREB5 expression was inversely correlated with AR activity and positively correlated with KLF5, a transcription factor previously linked to AR-independent resistance.

Further analysis revealed that CREB5-high tumors had significantly lower expression of AR, FOLH1 (PSMA), KLK2, and KLK3 (PSA) compared to CREB5-low tumors. Interestingly, AR-V7—a constitutively active AR splice variant that drives therapy resistance—was also decreased in CREB5-high tumors, suggesting that CREB5 operates through AR-independent pathways rather than AR splice variants.

Molecular Associations: CREB5 and the AP-1 Network

To understand how CREB5 drives these transcriptional programs, the team used the Algorithm for Linking Activity Networks (ALAN), which compares gene behavior across all potential interactions. CREB5 showed highly concordant behavior with the 25 transcription factors that define the stem cell-like (SCL) subtype of CRPC, as previously defined by Tang et al. Notably, CREB5 exhibited nearly identical behavior to FOSL1, a key AP-1 transcription factor implicated in stem cell features, therapy resistance, and metastasis in other cancers.

This relationship was remarkably strong. In CRPC samples, CREB5 and FOSL1 expression were significantly correlated (r = 0.47, p < 0.001), and ALAN analysis showed an R² of 0.980 between their gene behaviors across all genes in the dataset. Even in benign prostate tissue (GTEx), the alignment remained strong (R² = 0.707).

Functional validation confirmed the regulatory relationship. In LNCaP cells overexpressing CREB5, RNA-seq showed increased FOSL1 expression across multiple conditions—including androgen deprivation (CSS), enzalutamide treatment, and androgen stimulation (R1881). In CWR-R1 cells, CREB5 overexpression significantly increased FOSL1 expression by RT-qPCR (p = 0.014).

Mechanisms: CREB5 Interacts with AP-1 Proteins and Binds Their Regulatory Elements

To determine how CREB5 exerts its effects, the team examined protein-protein interactions using rapid immunoprecipitation and mass spectrometry of endogenous proteins (RIME) from prior work. Compared to controls, CREB5 interacted with several AP-1 factors, including JUN, JUNB, JUND, ATF2, and ATF7.

Motif enrichment analysis of CREB5 binding sites (from ChIP-sequencing) revealed significant enrichment of AP-1 binding motifs, including those for JUN, JUNB, and ATF2. In enzalutamide-treated cells, CREB5-bound sites remained enriched near ATF2 motifs, and CREB5 binding patterns were highly consistent at these sites.

ChIP-sequencing further showed that CREB5 bound to the transcriptional start sites of several AP-1 genes, including ATF3 and FOSL2, and to FOSL1 itself—particularly in enzalutamide-treated cells. Moreover, CREB5 bound to the transcriptional start and end sites of all 25 SCL genes defined by Tang et al., confirming its role as a broad regulator of stem cell-like transcriptional programs.

Phenotypic Consequences: CREB5 Drives Tumor-Forming Capacity

If CREB5 promotes stem cell-like traits, it should enhance the ability of cancer cells to form tumors. The team tested this using 3D tumorsphere assays in three cell lines: LNCaP (AR-positive, hormone-sensitive), CWR-R1 (CRPC-like), and CWR-R1 enzalutamide-resistant (enzR).

CREB5 overexpression significantly increased the number of tumorspheres in LNCaP cells compared to luciferase (LUC) controls (p < 0.01), indicating enhanced tumor-forming capacity from single cells. This effect was not observed in the more aggressive CWR-R1 or CWR-R1 enzR lines, suggesting that CREB5 has the greatest impact in hormone-sensitive cells, consistent with prior studies.

In vivo, LNCaP cells with CREB5 overexpression were implanted into castrated and non-castrated male mice. After 56 days, CREB5 overexpression significantly increased tumor volume in both castrated (p = 0.002) and non-castrated (p = 0.008) mice. Notably, there was no significant effect on tumor growth rate, supporting the hypothesis that CREB5 promotes tumor formation (stemness) rather than simply accelerating proliferation.

Clinical Implications and Future Directions

These findings have several important implications. First, they identify CREB5 as a central regulator of lineage plasticity in prostate cancer—the ability of tumor cells to switch from an AR-driven luminal identity to an AR-independent basal or stem cell-like state. This plasticity is a major mechanism of resistance to AR-targeted therapies.

Second, the inverse relationship between CREB5 and AR activity was detectable even in primary, treatment-naïve tumors. This suggests that high CREB5 expression may serve as a future biomarker for identifying patients at risk of developing resistance or progressing to metastatic disease, even before therapy begins.

Third, the interaction between CREB5 and AP-1 transcription factors—particularly FOSL1—points to potential therapeutic strategies. AP-1 factors are known regulators of cancer cell plasticity across multiple malignancies, and there are now anti-cancer therapies targeting AP-1 factors. Whether such agents can perturb CREB5’s tumor-promoting activity remains an open question.

The authors acknowledge that the mechanistic relationship between CREB5 and KLF5—another SCL-associated transcription factor—remains unclear, as no direct biochemical interaction was detected. Future studies will need to explore whether these factors operate in parallel pathways or through indirect mechanisms.

Future Perspectives and Conclusion

This study does not claim to have fully mapped the regulatory network of CREB5 in prostate cancer. Rather, it establishes CREB5 as a key driver of basal and stem cell-like transcriptional programs and provides a mechanistic link to AP-1 transcription factors.

The perspective that emerges is one where lineage plasticity in prostate cancer is not a random event but is driven by specific transcriptional regulators like CREB5. By integrating computational modeling, molecular biology, and functional studies, the team demonstrates that CREB5 enhances tumor-forming capacity through interactions with AP-1 factors and regulation of SCL genes.

Continued research will be needed to determine whether targeting CREB5 or its interaction with AP-1 complexes can mitigate deadly stem cell-like phenotypes in prostate cancer and potentially in other malignancies where CREB5 has been implicated—including breast, colorectal, ovarian, and brain cancers. As the authors note, “increased CREB5 may lead to specific mechanisms of therapy response, and future therapeutic strategies may consider antagonizing CREB5 interactions with AP-1 complexes.”

Click here to read the full research paper published 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.

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Predicting Colorectal Cancer Survival: How Machine Learning Combines Clinical and Biological Clues

March 25, 2026

“Understanding both the biological and clinical aspects of the patient is essential to uncover the mechanism underlying the prognosis of the disease.”

Colorectal cancer (CRC) ranks among the most common and lethal cancers worldwide, accounting for approximately 10% of all cancer diagnoses. While advances in prevention and treatment have improved outcomes, predicting which patients will survive remains a complex challenge—one that depends on an intricate interplay between molecular biology and clinical factors.

A research paper, titled “Machine learning-based survival prediction in colorectal cancer combining clinical and biological features” was published in Volume 16 of Oncotarget by an international team of researchers, demonstrating how machine learning can integrate these two domains to achieve highly accurate survival predictions.

The team’s investigation demonstrates that combining clinical features—such as pathological stage, age, and lymph node status—with biological markers—including the E2F8 gene and hsa-miR-495-3p—can significantly improve the ability to predict patient survival.

The Method: Integrating Clinical and Biological Data

The researchers constructed a three-phase pipeline using data from 545 colorectal cancer patients from The Cancer Genome Atlas (TCGA) database. The data spanned colon, rectum, and rectosigmoid junction cancers, with patient ages ranging from 31 to 90 years.

In the first phase, data pre-processing, the team extracted and normalized both clinical and biological features. For biological features, they performed differential expression analysis, constructed competing endogenous RNA (ceRNA) networks, and conducted survival analysis to identify 19 candidate molecules—including mRNAs, lncRNAs, and miRNAs—with potential roles in CRC prognosis. For clinical features, they selected 13 characteristics, including age, pathological stage, lymph node counts, chemotherapy status, and new tumor events.

To handle missing data, they created three distinct cases: Case 1 filtered out missing biological or core clinical features; Case 2 also excluded patients with missing demographic features like race and weight; and Case 3 replaced missing values with the most frequent category.

In the second phase, feature selection, the team applied LASSO (Least Absolute Shrinkage and Selection Operator) to rank features by importance, followed by SHAP (Shapley Additive Explanations) to understand each feature’s impact on survival prediction.

In the third phase, model construction, they trained and compared six machine learning classifiers: Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), AdaBoost (AB), Stacking, and Voting.

Key Findings: Features That Matter Most

Across the three data cases, certain features consistently emerged as critical for predicting survival.

Among biological features, E2F8 stood out as the most significant, appearing in all three models. This gene, known to be associated with cell proliferation and CRC staging, has been identified by other studies as a potential CRC biomarker. WDR77 and hsa-miR-495-3p also proved important in most groups, consistent with previous research linking them to cancer development.

Among clinical features, pathological stage consistently ranked as the most influential predictor. Higher stage correlated strongly with lower survival probability. Age, new tumor event (likely representing recurrence), lymph node count, and chemotherapy status also emerged as critical factors.

Notably, the study identified that the combination of these features outperformed models relying on clinical or biological data alone.

Predictive Performance: Accuracy Reaches 89.58%

The machine learning models achieved impressive results. For Case 1 (filtered for core clinical features), an SVM model achieved 86.87% accuracy with an AUC of 83.49%. For Case 2 (more strictly filtered), an AdaBoost model achieved the best overall performance: 89.58% accuracy, though with a lower AUC of 76.50% due to dataset size limitations. For Case 3 (with imputed missing values), a Voting ensemble achieved 82.57% accuracy.

Bootstrap analysis confirmed that these advanced models provided meaningful improvements over baseline logistic regression, with accuracy increases ranging from 4.6% to 11.1%.

Biological Insights: The ceRNA Network Perspective

The 19 candidate molecules used as biological features were not chosen arbitrarily. They originated from a prior analysis by the same research group that constructed competing endogenous RNA (ceRNA) networks—complex regulatory systems where mRNAs, lncRNAs, and miRNAs cross-regulate each other through shared microRNA response elements.

This ceRNA framework is particularly relevant in cancer, where disruptions to these networks can drive tumor progression. By incorporating molecules from these networks, the study captured not just individual biomarkers but the broader regulatory context in which they operate.

Clinical Implications and Future Directions

The study’s findings carry several implications for clinical practice and future research.

First, they validate the prognostic value of well-established clinical factors—age, stage, lymph node status—while also highlighting novel molecular markers like E2F8 that warrant further investigation. Second, they demonstrate that machine learning can effectively integrate diverse data types to generate clinically useful predictions. Third, they underscore the importance of complete data collection; missing clinical information, such as race and weight, limited the analysis and may introduce bias.

The authors acknowledge limitations, including the relatively small dataset (545 patients), the exclusive use of US-based TCGA data, and the lack of experimental validation for the identified biomarkers. They call for future studies with larger, more diverse cohorts and for further investigation into the molecular mechanisms linking E2F8, miR-495-3p, and WDR77 to CRC prognosis.

Future Perspectives and Conclusion

This study does not claim to have developed a clinically deployable tool. Rather, it offers a proof-of-concept that machine learning can meaningfully integrate clinical and biological data to predict colorectal cancer survival. By combining LASSO feature selection with SHAP interpretability and ensemble modeling, the team demonstrates a pipeline that balances predictive power with biological insight.

The perspective that emerges is one where the future of cancer prognosis lies not in choosing between clinical or molecular data, but in systematically combining them. As the authors note, even basic patient information—age, weight, lymph node status—when accurately recorded and integrated with molecular profiles, can contribute powerfully to our understanding of disease trajectory.

Continued research will be needed to validate these findings in independent cohorts, to expand the set of biological features, and ultimately to translate these models into tools that can guide treatment decisions and improve outcomes for patients with colorectal cancer.

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

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Overcoming Aromatase Inhibitor Resistance in Breast Cancer: A New Therapeutic Strategy

January 13, 2026

“The estrogen receptor is overexpressed in and promotes 67-80% and 90% of female and male breast cancer cases, respectively.“

Most breast cancers depend on estrogen to grow. This dependence explains why hormone-based treatments, such as aromatase inhibitors, are among the most effective therapies for estrogen receptor–positive breast cancer. Despite their success, these treatments do not work indefinitely for all patients.

Over time, many tumors adapt to estrogen deprivation and continue to survive, grow, and spread. This process, known as aromatase inhibitor resistance, represents a major clinical challenge and is often associated with more aggressive disease and poorer outcomes.

One reason resistant breast tumors are difficult to treat is that cancer cells adapt their internal signaling systems. Instead of relying on estrogen, they activate alternative growth pathways, including the MAPK and PI3K/AKT pathways. These pathways promote cell survival, movement, and resistance to therapy and are frequently driven by proteins such as KRAS and related G-proteins, which have historically been difficult to target. A recent study published in Oncotarget suggests now that a new class of compounds may offer a way to overcome this resistance.

The Study: Targeting Aromatase Inhibitor–Resistant Breast Cancer with Novel PCAI Compounds

Researchers from the Florida A&M University College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, investigated a group of experimental compounds called polyisoprenylated cysteinyl amide inhibitors, or PCAIs. Their study, titled “PCAIs stimulate MAPK, PI3K/AKT pathways and ROS-mediated apoptosis in aromatase inhibitor-resistant breast cancer cells while disrupting actin filaments and focal adhesion,” focused on breast cancer cells that had developed resistance after long-term treatment with letrozole (LTLT-Ca cells), a commonly prescribed aromatase inhibitor.

The goal was to determine whether PCAIs could disrupt key survival mechanisms in these resistant cancer cells and ultimately trigger cell death.

The Results: NSL-YHJ-2-27 Activates MAPK and PI3K/AKT Pathways to Induce Apoptosis in Resistant Breast Cancer Cells

Among the tested compounds, one PCAI, NSL-YHJ-2-27, showed strong effects. Treatment with this compound significantly reduced the survival of aromatase inhibitor-resistant breast cancer cells and caused changes in cell shape. Many cells shrank, rounded up, and detached from their growth surface. Even after the compound was removed, treated cells showed a markedly reduced ability to proliferate and form colonies, indicating long-lasting effects.

At the molecular level, NSL-YHJ-2-27 increased activation of MAPK and PI3K/AKT signaling pathways. While these pathways are often associated with cancer cell survival, their excessive activation in this context led to cellular stress rather than protection. The treatment also caused a rise in reactive oxygen species, highly reactive molecules that damage DNA, proteins, and lipids inside the cell.

In addition, NSL-YHJ-2-27 reduced the levels of key proteins involved in cell movement and structure, including RAC1 and CDC42. The compound disrupted actin filaments and decreased levels of focal adhesion proteins such as vinculin and fascin, weakening the cells’ internal framework. As a result, cancer cell migration and invasion were significantly reduced in both standard cell cultures and three-dimensional tumor-like spheroids. The treated cells also showed clear signs of apoptosis, confirming that the compound effectively triggered programmed cell death.

The Breakthrough: Targeting Cancer Cells from Within to Trigger Stress-Induced Cell Death

Rather than blocking signals at the cell surface, PCAIs act inside cancer cells by interfering with proteins that control growth, movement, and survival. By disrupting these internal systems, PCAIs place cancer cells under intense stress. This stress leads to the buildup of reactive oxygen species and ultimately leads the cells toward self-destruction.

The Impact: A Potential New Therapeutic Strategy for Hormone-Resistant Breast Cancer

These results suggest that PCAIs could represent a potential new strategy for treating breast cancers that no longer respond to hormone therapy. Because this approach does not rely on estrogen receptors or specific surface markers, it may be effective across a broader range of resistant tumors. Importantly, by weakening the structural and migratory machinery of cancer cells, PCAIs may also reduce the ability of tumors to spread to other organs.

Future Perspectives and Conclusion

Although this research was conducted using laboratory models, it provides a solid foundation for further investigation. Additional studies will be required to evaluate safety, determine appropriate dosing, and assess the effects of PCAIs in animal models and, ultimately, in clinical settings. While still at an early stage, these findings suggest a possible new approach for addressing hormone therapy resistance in breast cancer. With continued research, PCAIs may contribute to the development of additional therapeutic options for patients with treatment-resistant disease.

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

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Comprehensive Genomic Profiling in Cancer: Insights from Over 10,000 Tumors

December 15, 2025

“The OncoExTra^® assay (formerly GEM ExTra) is a whole exome, whole transcriptome, tumor-normal genomic profiling assay that is designed to identify somatic (tumor-specific) SNVs, CNAs, indels, gene fusions, and alternative transcripts.“

Cancer treatment is moving toward a more precision-based approach, where therapies are guided not just by the tumor’s location but also by its genetic features. Mutations in cancer cells can point to specific drugs that may be more effective for certain patients. However, detecting these mutations often requires broad and detailed analysis. This is where comprehensive genomic profiling becomes especially important.

One of the main challenges in cancer care is that many existing genetic tools focus on only a limited number of mutations. As a result, some treatment opportunities may be missed. Certain mutations are also difficult to detect because they occur at low levels or exist in complex forms, such as gene fusions. Without advanced screening methods, these changes may go unnoticed.

To address these challenges, researchers from Exact Sciences Corporation conducted a large-scale study using a broad genomic screening approach. The findings were recently published in the journal Oncotarget.

The Study: Using OncoExTra to Analyze Genetic Alterations in Advanced Solid Tumors

In this study, titled “Comprehensive genomic profiling of over 10,000 advanced solid tumors” and led by Jean-Paul De La from Exact Sciences Corporation, researchers used a method called OncoExTra to analyze over 11,000 tumor samples from more than 10,000 patients with advanced solid tumors. The goal was to understand how often genetic alterations that could guide treatment were found using this type of broad assay.

The Results: Actionable Mutations Found in Over 90% of Tumors

The study found that nearly 92 percent of the tumor samples contained at least one genetic alteration that could potentially guide treatment. About half of the samples had mutations that were linked to therapies already approved by the U.S. Food and Drug Administration, either for the cancer type being studied or for other types.

Some of these mutations were found at very low levels, which highlights the need for sensitive screening techniques. Gene fusions, alterations that can be difficult to detect with standard methods, were identified in 7.5 percent of the cases. These fusions are especially relevant in certain cancers like prostate cancer and sarcoma, where they can influence treatment and, in some cases, help clarify the diagnosis.

Mutations were also found in several key biological pathways that are involved in how cancer cells grow, divide, and repair themselves. These included the PI3K/AKT, MAPK, and DNA repair pathways. Changes in these pathways can affect how the cancer behaves and responds to treatment.

In addition, the study reported that about 8 percent of the samples had mutations in the promoter region of the TERT gene. These changes have been associated with increased tumor growth and worse patient outcomes in several cancers. Although there are no approved therapies that directly target these mutations yet, their detection may become more relevant as new treatments are developed.

The Breakthrough: A Genomic Method That Analyzes Both DNA and RNA

The OncoExTra assay stands out for its ability to analyze both DNA and RNA across all known genes. It also compares tumor tissue to the patient’s normal tissue, which helps reduce the risk of false-positive results. This broad and in-depth approach enables the detection of rare, low-level, and complex mutations that smaller screening panels might miss. The method also identifies biomarkers such as tumor mutational burden and microsatellite instability, which can help determine whether a patient is likely to benefit from certain types of immunotherapy.

The Impact: Improving Precision Oncology Through Genetic Insights

These findings suggest that comprehensive genomic profiling can provide valuable information to help guide treatment for patients with advanced cancer. By identifying relevant mutations, clinicians can make more informed decisions, whether that involves prescribing targeted therapies, recommending clinical trials, or confirming a diagnosis. This supports a more individualized approach to cancer care, aiming to match each patient with the most appropriate treatment options based on the biology of their tumor.

Future Perspectives and Conclusion

While further studies are needed to better associate genomic findings with patient outcomes, this research demonstrates the clinical value of comprehensive genomic profiling. As screening methods continue to improve and become more widely available, they may enable more patients to receive treatments guided by the biological features of their tumors rather than tumor location alone.

Overall, the study shows that large-scale genomic screening is both feasible and useful in real-world oncology practice. It supports a more precise and informed approach to cancer care, while underscoring the importance of continued research and careful integration of genomic tools into clinical decision-making.

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

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Repurposing Statins: Exploring Anti-Tumor Effects in Colorectal Cancer

December 3, 2025

“Drug repurposing has gained traction as a viable strategy to target dysregulated oncogenic pathways.“

Colorectal cancer (CRC) remains the second leading cause of cancer-related deaths globally. While early detection significantly improves outcomes, many patients are diagnosed at advanced stages when treatment options are limited and relapse is common. To address this challenge, researchers are exploring whether existing drugs can be repurposed for cancer therapy, a strategy that could accelerate drug development while reducing associated costs and risks.

One class of drugs under investigation is statins, commonly prescribed to reduce cholesterol and prevent cardiovascular disease. Several studies have observed a potential link between elevated cholesterol and increased CRC risk. Cholesterol may support tumor growth by promoting membrane synthesis and energy metabolism in rapidly dividing cells.

Building on this connection, researchers from leading Indian institutions, including the Indian Institute of Science Education and Research and the Center of Excellence in Epigenetics at Shiv Nadar Institution of Eminence, investigated how statins influence CRC cells at the molecular level. Their goal was to determine whether these widely used drugs could have a therapeutic role in oncology.

The Study: Investigating the Molecular Impact of Statins in CRC Cells

The study, titled “Statins exhibit anti-tumor potential by modulating Wnt/β-catenin signaling in colorectal cancer,” was published in Oncotarget (Volume 16). Using a combination of lipidomics, transcriptomics, proteomics, and 3D tumor models, the researchers explored how two widely prescribed statins, atorvastatin and simvastatin, affect molecular pathways associated with CRC progression. This integrative, multi-omics strategy enabled tracing statin-induced effects across different layers of cellular function, linking lipid, transcript, and protein changes to pathway-level shifts.

The Results: Statins Suppress Wnt/β‑Catenin Signaling and Alter SATB Protein Dynamics

Treatment of CRC cells with statins led to a significant reduction in cholesterol and related lipid metabolites, consistent with the drugs’ known mechanism of action. Importantly, statin exposure also suppressed the Wnt/β-catenin signaling pathway, a key regulator of cell proliferation and tumor growth in CRC.

At the protein level, the researchers observed a decrease in SATB1, a chromatin organizer associated with oncogenic gene expression and tumor aggressiveness. At the same time, SATB2, a structurally related protein with tumor-suppressive properties, was upregulated. This inverse regulation appears to shift cancer cells from a more invasive, mesenchymal-like phenotype toward a more stable, epithelial state.

Interestingly, the levels of SATB1 and SATB2 mRNA did not change significantly, suggesting that statins affect these proteins post-transcriptionally, possibly by altering their stability. This layer of regulation may offer a more targeted and potentially safer therapeutic strategy.

The functional impact of statin treatment was further evaluated in 3D spheroid models, which better replicate the architecture of solid tumors. In these models, statins disrupted spheroid integrity and promoted the reappearance of cellular features typically associated with non-malignant epithelial tissue. SATB1 expression correlated with mesenchymal traits, while SATB2 was linked to epithelial markers, reinforcing their proposed roles in tumor phenotype regulation.

These findings were corroborated in in vivo xenograft models, where mice treated with statins exhibited significantly reduced tumor volumes compared to untreated controls. This in vivo validation supports the therapeutic potential of statins in suppressing tumor growth under physiological conditions.

The Impact: Potential Clinical Applications of Statins in Oncology

Since statins are already approved and well tolerated in humans, their potential use in oncology may benefit from an accelerated translational path. These findings suggest statins could be particularly useful in early-stage CRC or in combination with other therapies to reduce tumor growth and recurrence. By modulating a fundamental cancer-related pathway without broadly disrupting healthy cells, statins may offer a more selective and tolerable therapeutic option.

Future Perspectives and Conclusion

While the study results are encouraging, further preclinical investigations and clinical trials will be necessary to confirm the anti-tumor effects of statins in human patients. The authors note that treatment efficacy may be different depending on tumor subtype and underlying molecular characteristics. Nonetheless, the research provides strong evidence that the balance between SATB1 and SATB2 plays a critical role in CRC progression and that statin treatment can shift this balance in a therapeutically favorable direction.

Moreover, since pathways such as Wnt signaling and SATB1 regulation are implicated in several other malignancies, the findings may have relevance beyond CRC and be worth investigating in additional tumor types. This study adds to the expanding body of research supporting drug repurposing as a viable strategy in cancer therapy.

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

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New Antibody Removes Tregs to Boost Immune Response Against Cancer

November 19, 2025

“Treg play a deleterious role in the tumor microenvironment by suppressing anti-tumor effector T cells.”

Cancer is a disease caused by the uncontrolled growth of cells that escape the body’s natural defenses. One way cancer protects itself is by taking advantage of certain immune cells called regulatory T cells, or Tregs. Normally, Tregs help prevent autoimmune diseases by controlling the immune system. But inside tumors, they behave differently. Instead of defending the body, they suppress the immune cells that could attack the cancer.

Many cancer treatments aim to activate the immune system to fight tumors more effectively. However, the presence of Tregs within the tumor makes this difficult. These cells act like bodyguards for the cancer, blocking the immune response that might otherwise slow or stop tumor growth.

Researchers have tried to eliminate Tregs by targeting a protein called CD25, found on their surface. However, earlier efforts often failed because these treatments also interfere with interleukin-2 (IL-2), a molecule that is essential for other immune cells to function. Blocking IL-2 weakens the entire immune response, limiting the treatment’s effectiveness.

To overcome this challenge, scientists recently developed a new antibody called 2B010. This study, titled “A novel anti-human CD25 mAb with preferential reactivity to activated T regulatory cells depletes them from the tumor microenvironment,” was published in Oncotarget (Volume 16)

The Study: Finding a New Antibody Against Tumor Tregs

To develop a more selective tool for targeting Tregs, researchers from the National Institute of Allergy and Infectious Diseases, in collaboration with Boehringer Ingelheim and led by Maja Buszko and Ethan M. Shevach, conducted an experiment using mice. The animals were exposed to human regulatory T cells that had been activated and expanded in the laboratory. This exposure triggered the mice’s immune systems to produce antibodies against the Tregs. Among the resulting hybridomas, one named 2B010 stood out for producing an antibody capable of binding to CD25, a protein commonly found on the surface of active Tregs.

The Results: 2B010 Shows Selective Treg Depletion and Immune Activation

The 2B010 antibody was effective in both cell-based and animal studies. It was able to detect and remove regulatory T cells that were actively protecting tumors, without disrupting IL-2 signaling. This allowed the rest of the immune system to stay functional.

In a mouse model of human breast cancer, treatment with 2B010 significantly reduced the number of Tregs inside the tumors. As a result, CD8+ T cells, which are responsible for killing cancer cells, became more active. While the tumors themselves did not shrink, the immune system clearly showed signs of stronger activity against the cancer.

What makes 2B010 different is its ability to distinguish between harmful and helpful immune cells. Although many immune cells express CD25 when activated, 2B010 preferentially binds to highly active Tregs within the tumor. This selectivity allows it to target only the cells that shield tumors, while sparing other important parts of the immune system.

The effect of 2B010 was not limited to the tumor site. Increased immune activity was also observed in the spleen, suggesting that this antibody may help support the body’s general immune response.

The Impact: Potential Role of 2B010 in Enhancing Cancer Immunotherapy

This discovery offers a potential direction for advancing cancer treatment. By removing the regulatory T cells that shield tumors from immune attack, the 2B010 antibody could improve the effectiveness of current immunotherapies. It may be particularly valuable when used alongside checkpoint inhibitors, drugs that help lift the immune system’s natural brakes. Together, these therapies could produce a stronger, more sustained anti-tumor response.

Since high levels of Tregs are linked to poor outcomes in many types of cancer, selectively eliminating these cells may help overcome a major obstacle in immunotherapy. In addition, because 2B010 does not interfere with IL-2 signaling, it may avoid the unintended side effects seen with earlier anti-CD25 antibodies. Together, these features make it a good candidate for more precise and better-tolerated cancer treatments.

Future Perspectives and Conclusion

While the 2B010 antibody shows strong potential in preclinical studies, its performance in human patients remains to be seen. Clinical trials will be essential to assess its safety, effectiveness, and compatibility with current cancer treatments. Researchers suggest that, with further development, 2B010 may become a valuable addition to combination immunotherapy strategies in the future.

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

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How Low Oxygen Shields Prostate Cancer from Ferroptosis Therapies

November 6, 2025

“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

Genetic Study Identifies Potential Diagnostic Marker for Rare Blood Cancer BPDCN

October 22, 2025

“Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematological malignancy with poorly characterized molecular features.”

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare blood cancer that primarily affects older adults. One of the key challenges in diagnosing and treating BPDCN is that it closely resembles other forms of leukemia in both appearance and behavior. This overlap often leads to delays or uncertainty in diagnosis, especially since currently there is no single, reliable marker that clearly distinguishes BPDCN from related diseases.

To address this issue, researchers from the City of Hope Comprehensive Cancer Center investigated the genetic profile of BPDCN. Their study, titled “Genetic characteristics of blastic plasmacytoid dendritic cell neoplasm: A single institution experience,” was published in Oncotarget (Volume 16).

Understanding BPDCN: A Rare and Aggressive Blood Cancer

BPDCN is an aggressive cancer that commonly affects the skin, bone marrow, and lymph nodes. Diagnosing it remains difficult due to its overlap with other blood cancers. Although targeted therapies and stem cell transplantation have led to some progress, overall outcomes remain poor. Most patients survive only one to two years after diagnosis, emphasizing the need for earlier detection and more effective treatment options.

The Study: Genetic Sequencing in BPDCN Patients

Led by first author Fei Fei and corresponding author Michelle Afkhami, from the City of Hope Comprehensive Cancer Center, researchers performed targeted DNA and RNA next-generation sequencing (NGS) on samples from 21 patients with BPDCN—nineteen male and two female.

Their goal was to better understand the genetic mutations associated with this disease and evaluate whether any of these changes could be used to improve diagnosis or predict disease progression.

The Results: Genetic Alterations in BPDCN

The study revealed frequent mutations in genes such as TET2 (57%) and ASXL1 (33%), both of which are involved in regulating DNA activity. These mutations were often associated with shorter survival, particularly when multiple mutations occurred in a single patient. Other mutated genes were NRAS (29%), SRSF2 (14%), ZRSR2 (14%), and KMT2D (14%).

Another important finding was the gene CCDC50, which showed significantly higher expression in BPDCN compared to related cancers like acute myeloid leukemia (AML) and chronic monomyelocytic leukemia (CMML). In patients who responded well to treatment, CCDC50 levels declined, suggesting its potential usefulness in monitoring treatment response.

The Impact: CCDC50 as a Diagnostic Marker

The study highlights CCDC50 as a potential marker for BPDCN. Its high expression in this cancer—and not in related blood malignancies—suggests it could support both diagnosis and monitoring of treatment response. If validated in larger studies, it could become a valuable tool for clinicians seeking earlier and more accurate diagnoses.

Additionally, the association between mutations in genes like TET2 and ASXL1 and patient outcomes may help guide risk assessment and inform more personalized treatment decisions.

Future Perspectives and Conclusion

While these findings offer important insights, the study was based on a relatively small patient group. Further research is needed to confirm the role of CCDC50 and increase the understanding of how genetic mutations affect BPDCN progression. Nonetheless, this study represents a step toward more precise diagnostic tools and tailored treatments for a disease that remains challenging to manage.

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

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Oncotarget

New Insights into HER2-Mutated Non-Small Cell Lung Cancer in Brazil

October 8, 2025

“In non–small cell lung cancer (NSCLC), alterations in the HER2 (ERBB2) gene define a unique molecular subtype.”

Lung cancer remains one of the leading causes of cancer-related deaths worldwide. Although precision medicine has improved outcomes for many patients, certain rare genetic mutations are still poorly understood, particularly in regions with limited access to genomic testing. Such mutations involve the HER2 gene, better known for its role in breast cancer but also implicated in a small subset of lung cancers.

HER2 mutations are found in approximately 2–4% of non-small cell lung cancer (NSCLC) cases and create unique challenges. These tumors can vary significantly in how they appear under a microscope and in how they respond to treatment. Adding to the complexity, most diagnostic and treatment guidelines are based on research from high-income countries, which may not reflect the genetic diversity seen in other parts of the world.

To help close this knowledge gap, researchers in Northeastern Brazil conducted one of the first detailed investigations into HER2-mutated NSCLC in Latin America. Their study, recently published in Volume 16 of Oncotarget, reveals a complex and often overlooked form of the disease, highlighting the need for broader access to targeted therapies in underserved populations.

The Study: HER2-Mutated NSCLC in Northeastern Brazil

In the study titled “Molecular landscape of HER2-mutated non-small cell lung cancer in Northeastern Brazil: Clinical, histopathological, and genomic insights,” researchers led by first authors Cleto Dantas Nogueira from the Federal University of Ceará and Argos Pathology Laboratory and Samuel Frota from Argos Pathology Laboratory, along with corresponding author Fabio Tavora from the previously mentioned institutions and Messejana Heart and Lung Hospital, analyzed 13 cases of HER2-mutated NSCLC. They used clinical, pathological, and genomic data.

The Results: A Complex Clinical and Molecular Landscape

The analyzed patients ranged in age from 34 to 82 years. More than half were women. About half had never smoked.

The research team discovered different HER2-related mutations. Most tumors carried the well-known A775_G776insYVMA insertion in exon 20 of the HER2 gene. However, rarer mutations such as V842I and Q709L were also identified, indicating substantial genetic diversity. More than half of the patients had additional mutations in other key cancer-related genes, especially TP53, a gene associated with aggressive tumor behavior and resistance to treatment.

Interestingly, most tumors did not overexpress the HER2 protein, even though they carried HER2 mutations. Only one patient showed strong protein expression based on standard immunohistochemistry (IHC) testing. This finding suggests that relying only on protein-level tests may miss cases that could benefit from targeted treatment. Additionally, all tumors had a low tumor mutation burden (TMB), which has been linked to limited effectiveness of immunotherapies.

Treatment access emerged as a major concern. Only one patient received trastuzumab deruxtecan, a promising new drug specifically designed for HER2-mutated cancers. Most were treated with surgery, chemotherapy, immunotherapy, or a combination of these approaches. While a few patients lived for years after diagnosis, most experienced rapid disease progression, especially those diagnosed at more advanced stages.

The Breakthrough: Mutations in Underserved Populations

This study underscores the molecular diversity of HER2-mutated NSCLC and highlights the importance of using comprehensive genetic testing, not just protein-level tests, to detect targetable mutations. It also shows that patients in underserved regions can harbor complex cancers that need personalized treatment approaches.

The Impact: Making the Case for Genomic Equity in Lung Cancer

This research has the potential to reshape NSCLC diagnosis and treatment strategies in Brazil and other low- to middle-income countries. By confirming that HER2 mutations are present in regions where they are rarely investigated, it strengthens the case for expanding access to next-generation sequencing and innovative targeted therapies like trastuzumab deruxtecan.

Future Perspectives and Conclusion

Although the study’s sample size was small, its implications are important. HER2-mutated NSCLC is more genetically diverse than previously recognized, and this variability must be reflected in both diagnostic and treatment strategies. The authors advocate for the establishment of regional molecular tumor boards to guide personalized care and increase access to clinical trials.

As more data becomes available, the goal is to tailor therapies not just to specific mutations but also to the unique characteristics of local patient populations, marking a crucial step toward more equitable cancer care worldwide.

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

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Oncotarget

Immunotherapy Response in Pancreatic Cancer: What a New Study Reveals

September 11, 2025

“Identification and analyses of exceptional responders could eventually offer hints as to why PC is resistant to immunotherapy.”

Immunotherapy is not usually effective against pancreatic cancer (PC), but a new study published in Oncotarget (Volume 16, 2025) highlights rare cases where it did help. These examples, though uncommon, may offer valuable insights for future treatment.

Pancreatic Cancer and Immunotherapy

Pancreatic cancer is often diagnosed at an advanced stage, which limits treatment options and contributes to its poor prognosis. While chemotherapy remains the standard treatment, it usually offers only modest benefits in terms of survival. Immunotherapy—an approach that activates the immune system to fight cancer—has been effective in other cancers but has shown limited success in PC.

This is largely due to the tumor’s ability to suppress immune responses and create an environment that protects it from attack. Currently, these drugs are only approved for a small subset of patients whose tumors have a specific genetic feature called high microsatellite instability (MSI-high), found in just 1 to 2 percent of cases.

The Study: Pancreatic Cancer Immunotherapy Responders

The study, titled “Exceptional responders to immunotherapy in pancreatic cancer: A multi-institutional case series of a rare occurrence,” was led by first author Kavin Sugumar and corresponding author Jordan M. Winter, from University Hospitals Seidman Cancer Center.

The researchers examined medical records from 14 patients with pancreatic ductal adenocarcinoma (PDAC) who had responded unexpectedly well to immune checkpoint inhibitors—drugs that help reactivate immune cells to attack cancer. The drugs included PD-1 inhibitors such as pembrolizumab and nivolumab, CTLA-4 inhibitors like ipilimumab, and agents targeting tumor-associated macrophages. To find these rare cases, the research team contacted 471 oncologists from 91 major U.S. cancer centers between 2020 and 2021.

Most of the patients in this study had already tried chemotherapy, without lasting success. These patients received immunotherapy alone. They were selected because they showed either a reduction in tumor size on imaging or a drop in CA 19-9, a blood marker used to monitor PC.

This case series is the largest to focus exclusively on PC patients who responded well to immunotherapy. By excluding those who received chemotherapy simultaneously, the study aimed to isolate the effects of immune-based treatments alone.

The Results: Immunotherapy Shows Effectiveness in Both MSI-High and MSI-Stable Pancreatic Cancer

After starting immunotherapy, 82% of the patients showed a partial response, meaning their tumors became smaller. Around one-third of the patients had a meaningful decrease in CA 19-9 levels. On average, their disease remained stable for about 12 months, which is longer than typically seen with other treatments at this stage. Some patients lived for more than two years after beginning immunotherapy.

What stood out most was that more than half of these patients did not have MSI-high tumors. This challenges the current understanding that only MSI-high patients are likely to benefit from immunotherapy and suggests that other, less well-understood factors may also play a role.

The Impact: Expanding the Role of Immunotherapy in Pancreatic Cancer

Although this study includes only a small number of patients, the results suggest that immunotherapy may benefit more individuals with PC than previously assumed. While the standard of care still centers on chemotherapy, this case series shows that a small but meaningful group of patients—some without the usual MSI-high genetic marker—can respond well to immune-based treatments. These observations support the idea that immunotherapy may have a broader role in PC care.

Future Perspectives and Conclusion

These findings highlight the need to understand why certain PC patients respond to immunotherapy despite lacking known predictive markers like MSI-high. Exploring tumor biology, immune interactions, and patient-specific characteristics may help identify new indicators of response.

Although immunotherapy remains ineffective for most PC cases, rare outcomes like those in this study offer valuable clues. Investigating these exceptions more closely could support the development of more personalized and effective treatment approaches.

Click here to read the full research paper in Oncotarget.

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