I’m Ronja, a final-year PhD student navigating the final stretch of lab work, attempting to weave a cohesive narrative from the experiments—and occasional failures—that I’ve genuinely enjoyed over the past three and a half years. With just four months to go until my submission deadline, the calendar is dotted with wedding invitations, visits from friends eager to see me in Dublin while I’m still here, and one last Irish summer that I’m determined to savour—despite the ever-present stress and a slow, persistent creep of anxiety.
At long last, I’m learning to let go of perfection. I can no longer afford to chase down every loose thread left behind by past experiments. Time is no longer elastic, and what remains must be used with ruthless efficiency. It’s time to channel the inner German: go in, do the work with precision, make it count, and don’t let standards slip.
After years spent crafting a PhD through chapters of optimisation—each concluding with an arbitrary line drawn in the sand, because there’s always room for refinement—it’s a hard lesson to internalise. Eventually, the improvements stop justifying the time and resources they demand. Knowing where to stop might be the hardest skill of all.
Perhaps that, in the end, will be the life lesson my PhD leaves me with: learning how to spend my time in ways that truly matter—ways that serve my goals, whether they’re professional, in service of others, or deeply personal. And with that lesson in hand, I’m quietly hopeful that what comes next will be shaped not just by ambition, but by intention.
We are delighted to provide training and contribute to neuroblastoma research through the Mac4Me Doctoral Network Programme. Mac4Me is a 48-month project that addresses both technical and social challenges in cancer metastasis. It focuses on three tumour types that show poor response to current immunotherapies: neuroblastoma, breast, and prostate cancer. These tumour types reflect cancer development across a person’s lifetime and share metastatic disease spreading to the brain, bone, and liver.
Working alongside researchers and patients, the network will train 18 Doctoral Candidates to study the tumour microenvironment at metastatic sites, with a particular focus on the macrophage immune cell population. It will combine organ-on-chip technology with microfluidic systems to investigate early cell-cell and cell-matrix interactions during tumour invasion. Mac4Me will move beyond traditional “thinking in boxes” approaches by integrating bioinformatics and Artificial Intelligence solutions with real-world clinical data. The project will focus on patient experiences and translate scientific advances into meaningful outcomes.
The kick-off meeting of Mac4Me partners, Feb 2025
We are very proud to train two out of 18 Doctoral Candidates, building upon the expertise of Drs Ian Woods, Adrian Dervan and Prof Fergal O’Brien in biomaterials and 3D bioprinting and Dr Olga Piskareva in neuroblastoma biology and 3D in vitro cancer models.
I’m excited to kick off my second-year PhD journey with a deeper dive into cancer research. This is my first blog post of the year, and I’m eager to share what’s sparking my curiosity. So, I came across a paper by Tivnan et al. (2012), which focused on the targeted delivery of microRNA-34a (miR-34a) using nanoparticles. What intrigued me most was how these nanoparticles are designed to deliver therapies straight to cancer cells. Neuroblastoma is a highly aggressive and difficult-to-treat tumour, so finding a way to target it without affecting healthy cells could be a breakthrough.
Here’s what makes this study so exciting: the team developed a nanoparticle system coated with anti-GD2, a molecule that recognizes and binds to GD2, a marker commonly found on neuroblastoma cells. Think of these GD2-coated nanoparticles as specialized delivery trucks with a precise address—they’re designed to deliver miR-34a.
Now, let’s dive into the details of miR-34a’s role. MiR-34a isn’t just any therapeutic agent—it’s a master regulator capable of influencing multiple genes involved in cell growth, survival, and blood vessel formation. By releasing miR-34a into tumour cells, this study activated pathways that induced cell death and suppressed angiogenesis, preventing the tumour from forming new blood vessels. It’s almost as if miR-34a is a conductor orchestrating a complex, multi-step attack on cancer, using the tumour’s own cellular mechanisms against it.
The Results? A Direct and Multi-Layered Attack on Tumor’s
In their mouse model, the GD2-targeted nanoparticles packed with miR-34a significantly reduced tumour growth. These “smart” nanoparticles didn’t just shrink tumors by inducing apoptosis (cell death); they also cut off the tumor’s blood supply by promoting the expression of TIMP2, an anti-angiogenic protein. Essentially, the tumor cells were directly targeted and deprived of the resources they needed to survive—a powerful one-two punch.
Where Do We Go From Here?
This study is an excellent example of how targeted therapies could evolve to tackle other types of cancer. Traditional therapies, like chemotherapy, often affect both healthy and cancerous cells, leading to significant side effects. In contrast, this targeted approach delivers miR-34a specifically to neuroblastoma cells, which could be especially beneficial for pediatric patients who need treatments that minimize harm to developing bodies. Imagine pairing nanoparticles like these with different therapeutic targets, such as GPC2, ALK, or PDL1, or even combining them with existing treatments to boost effectiveness while minimizing side effects. For those in the field, the potential here feels like a breakthrough waiting to happen.
Neuroblastoma is particularly challenging to treat, especially when tumours become resistant to chemotherapy. This resistance is compounded by tumour heterogeneity—these cancers comprise different cell types, specifically adrenergic and mesenchymal cells. This variability affects treatment responses and plays a role in metastasis and how aggressively the cancer can spread.
MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression, and miR-124-3p has emerged as a promising player in cancer research. A Kaplan–Meier plot in the study (Figure 1) shows a strong association between low miR-124-3p levels and poorer survival rates in neuroblastoma patients, underscoring its potential impact on patient outcomes.
Our group’s study specifically examined how miR-124-3p might help reverse chemotherapy resistance and inhibit tumour cell growth in neuroblastoma. Excitingly, it has the potential to reduce cancer cell survival and increase their sensitivity to chemotherapy—an important breakthrough for treating resistant neuroblastomas.
The study found that miR-124-3p directly targets genes involved in the epithelial-to-mesenchymal transition (EMT), a process that makes cancer cells more invasive and treatment-resistant. By suppressing these genes, miR-124-3p can reverse EMT, shifting cells to a less aggressive, more treatment-sensitive state. Our group observed that increased miR-124-3p significantly reduced neuroblastoma cell invasion (Figure 2). In SK-N-AS cells and their drug-resistant form, invasion dropped by 50% and 70%. In Kelly cells and their resistant form, invasion decreased by 10% and 30%. The most invasive of all, the drug-resistant SK-N-ASCis24 cells, showed the most substantial decrease in invasion after miR-124-3p treatment. This suggests that miR-124-3p could help limit neuroblastoma spread, highlighting its therapeutic potential.
While miR-124-3p isn’t part of my project, seeing how different molecular mechanisms can be harnessed to develop cancer therapies is always inspiring. Using miRNAs to sensitize resistant cancer cells to treatment could complement approaches like immunotherapies or vaccines, like the one I’m working on. Understanding these molecular pathways brings fresh perspectives on weakening cancer cells and making treatments more effective.
The RCSI Cancer Bioengineering Group hosted an in-person event during the National PPI Festival 2024 to share their childhood cancer research and connect with the public and patients.
We welcomed members of the public, family members of children with cancer, researchers, clinicians, and patient/community organisations on October 17th. Our past lab members and students paid a visit, too! Our group shared ongoing research on neuroblastoma biology and finding new treatments. Prof Cormac Owens from CHI brought us through the journey of clinical trials in neuroblastoma patients. We heard the heartbreaking story of the brave young man who lost his life to neuroblastoma and his parents who never gave up. This truly inspirational family founded a charity – the Conor Foley Neuroblastoma Cancer Research Foundation, to support curiosity-driven and translationally-focused research. The Foleys know very well how important it is to return happy days to kids and their families.
As a new PhD student, I’m incredibly excited to dive into cancer research, and what better way to kick off this journey than by exploring 3D models to study neuroblastoma metastasis? Neuroblastoma is one of the most common childhood cancers, and about 50% of patients have metastatic disease at diagnosis. Understanding how these cells spread is key to developing better therapies, which is why this recent study by Gavin et al. (2021) caught my eye.
So, what did the researchers do? They used something called patient-derived xenografts (PDX) and cell lines to grow organoids (tiny mini-tumors) in a 3D extracellular matrix (ECM). This ECM mimics the environment these cells would encounter in the body, which is super important because cells behave very differently in 3D than in the typical 2D Petri dishes. It’s like giving the cells an entire landscape to explore rather than just a flat road—suddenly, they have mountains to climb and valleys to cross, allowing them to behave much more like they would inside the body!
One of the coolest things about this study is how the neuroblastoma cells developed various invasion strategies based on their environment. Some stayed in tightly knit groups, while others decided to go full-on lone wolf, sending out long, thin projections to explore the surrounding matrix. These cells are smart-adapting to different ECM compositions like Matrigel (which is rich in laminin and collagen), made them change their behaviour entirely. It’s like they’re navigating an obstacle course, with each new challenge requiring a different tactic!
Let’s Talk Actin Filaments!
Now, this is where it gets super cool (and nerdy in the best way!). The images captured by confocal microscopy are stunning. They show actin filaments—the internal skeleton of the cells—as they help the cancer cells move and invade new areas. The actin filaments form these amazing, intricate networks that shape the cells and allow them to stretch and invade. It’s almost like watching tiny construction workers build bridges and tunnels as they move forward. Check out this confocal image showing the red filaments—how awesome is that?!
It’s the second round of journal club blog posts, and this time around, we’ll be looking at papers published by this very lab. I’ll be focussing on the paper in which the cell line I am currently working with (KellyCis83) was developed: “The development of cisplatin resistance in neuroblastoma is accompanied by epithelial to mesenchymal transition in vitro” This research addresses a critical challenge in cancer treatment: drug resistance, of course focusing on neuroblastoma, pediatric cancer notorious for its aggressive nature and poor prognosis that this lab has been studying for years.
Neuroblastoma is typically treated with cisplatin, a potent chemotherapy drug that induces DNA damage in cancer cells, leading to their death. The issue is that over time and particularly during relapse, some neuroblastoma cells develop resistance to cisplatin, rendering the treatment ineffective. Understanding the mechanisms behind this resistance is crucial for developing new therapeutic strategies.
In this study, neuroblastoma cell lines resistant to cisplatin were created by gradually exposing the cells to increasing drug concentrations over 6 months. This approach mimics the clinical scenario where tumours are exposed to chemotherapy over an extended period, eventually leading to resistance. The resistant cell lines were then characterized to uncover the molecular changes that had occurred alongside or as part of the increased drug-resistance.
The cisplatin-resistant neuroblastoma cells exhibited significant disruptions in their cell cycle regulation, as highlighted by the most altered pathways identified by mass spectrometry. Cisplatin typically causes DNA damage that halts the cell cycle, leading to cell death. However, the researchers found upregulated pathways in resistant cells that allowed these cells to bypass this damage-induced arrest. One key finding was the identification of Vimentin upregulation in the upstream regulator analysis. Vimentin is a marker typically associated with epithelial-to-mesenchymal transition (EMT).
EMT is a process where epithelial cells acquire mesenchymal, fibroblast-like properties, including enhanced motility and apoptosis resistance. The link between EMT and cancer progression is well-established, as EMT not only facilitates metastasis but also contributes to drug resistance. In the context of neuroblastoma, the upregulation of Vimentin and dysregulation of related EMT proteins found in two of the resistant cell lines (specifically SNAI1 and TWIST1) suggests that these cells are not only evading cisplatin-induced cell cycle arrest but are also acquiring more aggressive, invasive characteristics. This links back to their findings on invasiveness, which showed greater levels in the two resistant cell lines that also had greater changes in EMT-related proteins (Figure 1).
Figure 1 A Relative invasiveness of the parental cell lines compared to the cisplatin resistant daughter cell lines. Graphed data represent mean values ± SD of three independent experiments. Asterisks indicate statistical significance obtained using a paired Student’s t-test. * p < 0.05, ** p < 0.01, ***p < 0.001, n = 3 for all experiments. B The fold change in protein expression of drug resistant cells compared to their parental counterparts was quantified by densitometric analysis of two biological repeat experiments, normalised against endogenous control ACTB. (Adapted from (Piskareva et al., 2015).
Understanding the role of EMT in cisplatin-resistance opens up new avenues for therapeutic intervention. Targeting EMT-related pathways Vimentin could potentially restore the sensitivity of these resistant neuroblastoma cells to cisplatin, by targeting the evasive mechanisms the cells developed to bypass the cell-cycle disruption. Such therapies would offer a new strategy to tackle drug-resistant relapse cases, which currently have very poor outcomes.
Overall, this study provides a valuable model for investigating drug resistance in neuroblastoma and highlights the crucial role of EMT and its associated pathways in finding ways to treat drug-resistant tumours. As we continue to explore these avenues, these models will serve us as a strong foundation facilitating the research currently taking place in our lab towards finding such combination therapies and hopefully improving outcomes for children battling this devastating cancer in the future.
Cancer is the 2nd most common cause of death among children after accidents.
Childhood cancer is an umbrella term for many other types of this disease. Every September, many charities, researchers and parents of children with cancer work hard to raise awareness of this cancer. You may learn more about kids with cancer, their loving families, the doctors and caregivers who look after them and treat them, the young survivors of cancer and those kids and teens who lost their battle, and the scientists who work hard to find a way to stop childhood cancer.
This year, our research team will run the Pub Quiz on September 18th, 2024, in honour of Childhood Cancer Awareness Month. All donations will go to the Conor Foley Neuroblastoma Research Foundation (CFNRF).
If you would like to get involved in this amazing challenge and help us raise vital funds for childhood cancers, you can contribute to our fundraising page:
HDAC inhibitors are drugs that target specific enzymes involved in gene regulation. This study tested broad-spectrum HDAC inhibitors as standalone treatments and combined them with doxorubicin, a well-known chemotherapy drug.
But why on Zebrafish? The zebrafish model provides a rapid and efficient means of testing these treatments, offering valuable insights into their potential use in combating neuroblastoma. This model allows for assessing drug efficacy and helps understand the associated toxicities quickly, making it a powerful tool for developing new anti-cancer therapies.
In the study, fish larvae were implanted with fluorescently labelled, well-established neuroblastoma cell line (SK-N-BE(2)-C) and patient samples (HD-N33, NB-S-124) to grow tumours. Non-cancerous cells (VH7 fibroblasts) were utilized to verify that tumour progression in zebrafish was specific to tumour cells. The engraftment of human cells into fish larvae was confirmed by immunohistochemistry (IHC) staining on zebrafish sections injected with neuroblastoma cells (SK-N-BE). This was achieved using a STEM121 antibody that reacts specifically with a human cytoplasmic protein. The findings showed that pediatric tumour cells survive and grow in the zebrafish model at rates like those observed in human tumours.
Before testing drug efficacy in zebrafish xenografts, optimal drug concentrations and maximal tolerated doses (MTD) were determined. Toxicity tests were conducted by treating fish larvae cells for three days without tumour cell injection to identify the maximum tolerated dose that did not cause observable morbidity, changes in morphology, or severe aberrations in larval behaviour. and lethal dose (LD) for each compound. To find optimal drug concentrations, larvae with xenografted tumour cells were incubated with increasing drug doses 24 hours post-implantation to the maximally tolerated dose (MTD). The relative IC50 values were then determined based on changes in tumour mass volume.
To evaluate the treatment, SK-N-BE(2)- cells were used to test the broad-spectrum HDAC inhibitors, including panobinostat, vorinostat, and tubastatin A, both alone and combined with doxorubicin. The partial response rate (PR) was measured to see how well different drug combinations work to shrink tumours in the zebrafish model. Here’s what they found: Doxorubicin combined with panobinostat resulted in a 23% PR, Doxorubicin combined with tubastatin A showed a 31% PR, and Doxorubicin combined with vorinostat achieved the best result with a 36% PR.
To test the effectiveness of the HDAC inhibitor treatment, they monitored the tumour growth using a confocal microscope before and 48 hours after giving the drug. The test revealed that a 48-hour treatment of SK-N-BE (2)-C zebrafish xenografts with vorinostat and doxorubicin alone, `and in combination, increased cell death. The combination of these two drugs was the most effective, causing a significant increase in cancer cell death (apoptosis) by decreasing cell proliferation, as indicated by reduced PPH3 marker and activating the number of Cleaved caspase-3 (Figure 1).
Figure 1: Treatment for 48 h with Vorinostat, doxorubicin, or a combination of both increased the amount of cleaved caspase-3 and reduced mitotic tumour cells. Adapted from Pharmaceuticals2020, 13(11), 345
In essence, this study validates the use of HDAC inhibitors in treating neuroblastoma and paves the way for broader applications of zebrafish models in cancer research. As we look to the future, these innovative models could significantly enhance our ability to develop effective cancer therapies, making strides towards better treatments and, ultimately, more effective cures.
This article by Krieger et al. discusses the most common form of brain cancer called glioblastoma. Due to its highly aggressive nature, research must be conducted consistently and rapidly to develop new treatments. This has proven challenging due to primary tumours being resected before further research can be done, as well as the lack of current technologies to fully explore relationships between GBM and surrounding brain tissues. This study aimed to study the aforementioned interactions in under 4 weeks, accounting for the rapid progression of the disease in real life.
GBM cells were first derived from four patients and treated with glutamine, heparin, epidermal and fibroblast growth factors, then underwent a sequence of manipulations, such as second-generation replication lentivirus infection of GBM cells, iPSC line 409b2 inoculation in Aggrewell plates and later manipulation with invasion assays, and scRNA sequencing, which, along with the Aggrewell cells, produced neural progenitor cell spheroids for analysis. Confocal microscopy and the developed image processing algorithm allowed for visualization of these cells following fluoroscopy and depicted consistent growth of tumour cells. There was also the growth of microtubules. Any dissociated organoids were then co-cultured with GBM cells again, promoting interaction between the two. Further analysis revealed the upregulation of 45 genes, including PAX6, GJA1, GPC3, and others involved in cell regulation.
In conclusion, this novel mechanism of analysis of GBM cells using Aggrewell plates provided fruitful results, indicating intricate relationships between GBM cells and organoids, providing crucial insight for treatments by elucidating specific gene expression, heterogeneity of cells, and offering new targets based on ligand-receptor interactions. The particular relevance of this study to my work is regarding the usage of Aggrewell plates, which I am currently studying to determine how best to keep cells growing successfully within the wells. This article proves the usability and efficiency of Aggrewell and establishes its crucial role in the realm of brain cancer treatment research.
