Group Leader Mate Maus PhD Students Francesca Cogo, Marc Guasch, Ning Huang Master's Student Britt Van Voskuijlen Lab Manager Claudia Gutiérrez
Founded in January 2023 by Mate Maus, VHIO’s Aging and Cancer Group is dedicated to translating aging research into oncology practice. We serve cancer patients, elderly individuals at risk of developing cancer, and cancer survivors facing accelerated health decline. We achieve this by developing innovative technologies and therapeutics capable of exposing and targeting age-related alterations in the metabolism of iron and other metals within the tissue microenvironment, recognized as drivers of malignancies.
To achieve our goals, we leverage state-of-the-art screening technologies, along with in vivo and in vitro models of cancer, anti-tumor immunity and aging. Collaborating with clinical oncologists, we strive to enhance our understanding of how the metabolic aging of the tissue microenvironment promotes cancer and hinders anti-tumor immunity. Our vision is a future where non-invasive metabolic imaging enables early detection of high-risk sites for cancer development, and therapeutic interventions that target the metabolic bottlenecks associated with aging that rejuvenate the tissue microenvironment and restore anti-tumor immunity to eliminate cancer.
Figure: Iron accumulation in senescent SK-MEL-103 melanoma cells. Iron in brown.
Tumorigenesis in the Metabolically Aged Tissue Microenvironment. The connection between aging and cancer extends beyond the accumulation of mutations. Mounting evidence suggests that the aging tissue microenvironment actively selects and promotes the progression of mutant cells toward malignancy. Building on our experience in exploring the interplay between inflammation and tumorigenesis (Saint-Fleur* and Maus* et al. Cell Rep. 2018), and our recent findings (Maus et al. Nat Metab. 2023), we investigate how renewing tissues adapt to age-related disruption in iron metabolism and how this adaptation contributes to alterations in the differentiation trajectory and fitness landscape of precancerous cells in both bone marrow and the colon, pushing them toward malignancy. Our goal is to develop non-invasive methods capable of identifying high-risk sites for cancer development by imaging disruption in iron metabolism. Additionally, we aim to devise therapeutic strategies that can rejuvenate the tissue microenvironment by restoring iron metabolism, thereby offering a promising approach to treat cancer.
The Metabolism of Cancer Survivorship. As advances in oncology lead to a growing population of cancer survivors, the downsides of cancer therapies are becoming increasingly apparent. Cancer survivors not only face a shortened life expectancy but also grapple with higher rates of inflammatory and fibrotic diseases compared to the general population. Drawing on our experience in studying metabolism (Maus et al. Cell Metab. 2017) and our recent findings (Maus et al. Nat Metab. 2023), our focus is on unraveling the link between the adverse effects of cytotoxic therapies and iron accumulation. In this research line, our goal is to shed light on how cancer therapy disrupts both systemic and cellular iron homeostasis, and understand the intricate links to cellular senescence, fibrosis and accelerated aging in individuals who have received treatment with cytotoxic therapies. Ultimately, our goal is to develop innovative diagnostics and therapeutics that can enhance the quality of life for cancer survivors.
The Metabolic Aging of Anti-Tumor Immunity. The decline in anti-tumor immunity in aging is recognized as a key contributor to the elevated incidence of cancer in the elderly. Leveraging our expertise in studying immunometabolism (Vaeth* and Maus* et al. Immunity. 2017), and the metabolism of aging (Maus et al. Nat Metab. 2023), our research in this area focuses on investigating how age-related disruption in iron metabolism is associated with decreased tumor surveillance and T cell exhaustion. Our objective is to identify strategies that can rejuvenate the metabolic microenvironment, aiming to reinvigorate anti-tumor immunity.
Group Leader Rodrigo A. Toledo PhD Students Carlota Arenillas, Oriol Mirallas Viñas, Ana Belen Moreno-Cárdenas Sample/Data Manager Alma Calahorro Bioinformatician Debayan Datta Master’s Student Èlia Madurell López
VHIO’s Biomarkers and Clonal Dynamics Group is dedicated to unraveling the molecular complexities and variables influencing clinical outcomes in patients.We aim to advance cancer research through the innovative application of tumor evolutionary analyses using longitudinal tumor and circulating tumor DNA (ctDNA)-based liquid biopsy in different clinical and therapeutic settings including cancer immunotherapies and targeted therapies. We also study the impact of hypoxia on tumorigenesis and clinical features, EPAS1-HIF2α mutation selection, and the efficacy of HIF2α inhibitors.
Initiated in 2018 in collaboration with Elena Garralda, Head of VHIO’s Early Clinical Drug Development Group, our IMMUNOMICs project has entered its next phase. This year, we have started to analyze data from our multimodal liquid biopsy approach on longitudinal tumor and plasma circulating cell-free DNA (cfDNA) samples of >300 patients with metastatic, refractory tumors (PanCancer cohort) treated with immunotherapy in phase I clinical trials. This project will generate new insights into the utility of different liquid biopsy assays in characterizing the baseline and early dynamic ctDNA profiles in patients treated with immunotherapy. We will also correlate data with response to therapy and clinical outcome.
In collaboration with other VHIO groups, we previously described RNF43 mutations as predictive biomarkers of response to anti-BRAF/EGFR combinatory therapy in patients with microsatellite stable BRAF-V600E metastatic colorectal cancer (Élez et al. 2022). Our findings have now been validated by real-world data in patients in the USA (Quintanilha et al. 2023). We have participated in an international study to further assess the predictive role of RNF43 mutations. (Moretto et al. 2023). In collaboration with Elena Élez, Head of VHIO’s Colorectal Cancer Group, we continue to work on RNF43 and other factors that we have identified in BRAF-mutated CRC.
In 2023, we have applied our in-house liquid biopsy discovery platform in different clinical settings. In collaboration with Nicholas McGranahan’s lab at the University College London Cancer Institute (UCL, UK), we have developed a new liquid biopsy approach: ACT-Discover – Aneuploidy in Circulating Tumor DNA. This technique is 30% more sensitive than current methods in detecting ctDNA in plasma. We have shown that this platform can characterize the evolutionary history of pancreatic cancer (Hubner et al. 2023). We have also used ACT-Discover to study >150 samples from rare, therapeutically orphan, metastatic neuroendocrine tumors (mNETs).
We have also continued to work on the impact of hypoxia on clinical and genomic features. We have shown that, as with other therapies, hypoxia can shape cancer genomes by promoting specific selective pressures. Additionally, we have reviewed the efficacy of inhibitors of the hypoxia-inducible factor-2 alpha (HIF2α) in tumors harboring mutations in the hypoxia pathway (Toledo et al. 2023).
By pushing the boundaries of scientific discovery and translational research, our group endeavors to make meaningful progress toward a future where every patient receives optimal tailored care.
Figure: Non-invasive detection of tumor signal in blood samples of cancer patients.
Group Leader Marcos Malumbres Senior Scientist Begoña Hurtado Posdoctoral Scientists Isabel García Cao, Alexis Pérez Research Assistants María Catalán, Sandra Díez Ribas, Lidia Pérez Graduate Students Gloria C. Bonel, Mariona Cubells, Fátima Guerra, Luis R. López, Enrique Nogueira Bioinformatician Agustín Sánchez Belmonte
Our group focuses on the basic mechanisms that control cell differentiation and proliferation, and their implications in human disease. Adopting a patient-focused perspective, we aim to decipher the mechanisms that drive tumour cell proliferation, and evaluate the therapeutic opportunities of inhibiting the activity of critical cell cycle regulators in cancer.
Over the last two decades, advances in cancer research have led to the approval of inhibitors of specific cell cycle regulators (cyclin-dependent kinases 4 and 6; CDK4/6) in breast cancer therapy. CDK4/6 blockade, along with hormonotherapy, is the current standard of care in advanced estrogen receptor-positive breast cancer. However, most metastatic tumors develop resistance, and these inhibitors are not effective in the treatment of other tumor types. Intriguingly, despite extensive cell cycle analysis in the last few years, we still do not understand how cells drive the cell cycle in the absence of CDK4/6 activity.
CDK4/6 inhibitors exemplify the use of cell cycle-targeted therapies in the clinic. But what is next? First, we are interested in understanding the mechanisms of resistance to CDK4/6-targeted therapies, or in other words, how cells manage to continue proliferating in the absence of these kinases. Investigating the differences between these two kinases, CDK4 and CDK6, may also be critical in improving the use of these inhibitors in other tumor types. Next, there are 20 members of the CDK family and the relative dependence of tumor cells on most of the other family members remains unclear. Cell cycle control involves many other enzymatic activities beyond CDKs, offering many additional possibilities in several pathologies including breast, gynecological, lung, colorectal and pedriatic cancers for detailed investigation in the future.
In addition to generating knowledge and evaluating novel therapeutic strategies, our group is interested in advancing the use of novel technologies to monitor tumor evolution, especially in response to clinical treatments. We are currently exploring the use of single-cell genomic and transcriptomic studies to better understand mechanisms of sensitivity and resistance to available therapies. Performing these studies in liquid biopsies and circulating tumor molecules and tumor cells will facilitate the identification of key therapeutically actionable mechanisms, taking advantage of the accumulated insights generated by basic science and discovery.
Figure: Breast cancer organoids cultured in vitro labelled with antibodies against cytokeratins (red and green) and E-cadherin (purple), Martínez-Illescas et al. 2023.
Group Leader José A. Seoane Postdoctoral Fellows Lea Lemler, Silvana Maas Graduate Students Enric Álvarez, María Butjosa, María José Fariña, Arnau Llinàs Bioinformatician Laia Ollé
Headed by José A. Seoane, VHIO’s Cancer Computational Biology Group leverages epi(genetic) cancer datasets to identify the molecular mechanisms implicated in cancer initiation, progression, drug resistance and metastasis toward improving outcomes for patients.
We aim to advance insights into the role of chromatin regulatory elements in treatment response and metastasis, develop novel epigenetic synthetic lethality-based therapeutic options, improve patient stratification guided by multi-omics analysis, and discover novel epigenetic biomarkers of treatment response.
We have previously shown how the genetic modifiers of chromatin structure are associated with chemotherapy resistance in breast cancer (Seoane et al. 2019). Our group focuses on how these epigenetic alterations affect drug resistance and how epigenetic therapies can be used to target tumor suppressor genes.
We are also exploring how the machine learning-based integration of multi-omics datasets can facilitate the discovery of new cancer subgroups and biomarkers, as well as help to better predict treatment outcomes and drug response.
Our group has participated/participates in multiple international consortia including The Cancer Genome Atlas, the Human Tumor Atlas Network, Cancer Target Discovery and Development (CTD 2) Network, and, most recently, AURORA (metastatic breast cancer multi-omics cohort).
Figure: Identification of new oncogenic drivers. Using TCGA copy number and mRNA expression data of several tumor types, we have identified a new set of potential oncogenic drivers by intersecting genes with an abnormal overexpression associated with a copy number amplification. We have discovered and validated two new oncogenic drivers, FGF3 in squamous esophageal cancer and DYRK2 in oral mucosa.
Group Leader Francisco Barriga Lab Manager Xieng Chen Wang Postdoctoral Fellow Dario Ruiz PhD Students Sofia Calpe, Matea Katić Technician Golsa Jahangiri
Our group studies the function of large-scale chromosomal changes known as copy number alterations (CNAs). We combine state-of-the-art genome engineering strategies to uncover the mechanisms by which CNAs enable cancer cells to propagate and resist therapies. We are particularly interested in the role of these alterations in immune surveillance, tumor heterogeneity, and cancer genome evolution. Our long-term goal is to understand the complex biology of CNAs to identify new therapeutic strategies that target cells with these chromosomal aberrations.
Cancers arise through genetic and epigenetic alterations that drive the transformation of single cells into malignant tumors. Among the most frequent genetic changes observed in cancer are CNAs. As their name implies, CNAs change how many copies of specific regions of DNA a cancer cell has. Importantly, some CNAs are associated with poor clinical outcomes, yet we still do not know how they change the properties of tumor cells. To better understand the function of these alterations, our lab combines in vivo models of cancer with MACHETE, a new technique for engineering CNAs.
Our previous work focused on studying the co-deletion of a cluster of 17 type I interferons linked to the tumor suppressor genes CDKN2A/B. Using MACHETE, we showed that combined loss of the interferon cluster and tumor suppressors led to immune evasion, metastasis, and reduced response to immunotherapy compared to CDKN2A/B-only deletions (Barriga, Tsanov et al. 2022)*. This study illustrates the complex biology of CNAs and underscores the need for precise modeling approaches to elucidate the biological consequences of these alterations. From a broader perspective, CNAs have a unique operational logic rooted in changes of gene dosage and DNA topology, which we aim to explore in greater depth.
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*Barriga FM, Tsanov KM, Ho YJ, Sohail N, Zhang A, Baslan T, Wuest AN, Del Priore I, Meškauskaitė B, Livshits G, Alonso-Curbelo D, Simon J, Chaves-Perez A, Bar-Sagi D, Iacobuzio-Donahue CA, Notta F, Chaligne R, Sharma R, Pe'er D, Lowe SW. MACHETE identifies interferon-encompassing chromosome 9p21.3 deletions as mediators of immune evasion and metastasis. Nat Cancer. 2022 Nov;3(11):1367-1385.
Figure: The research of the Barriga Lab at VHIO centers on the role of clinically-relevant copy number alterations in tumor immune surveillance, mechanisms of intra-tumor heterogeneity, and cancer genome evolution, with particular focus on CNA biology in pancreatic cancer by applying state-of-the-art genome engineering approaches and immune-competent mouse models.
Group Leader Maria Abad Research Assistant Lluis Palenzuela Graduate Students Alba Escriche, Marion Martinez
We study the interplay between stress responses, cellular plasticity and cancer. Cellular plasticity is as a critical feature of cancer cells, enabling them to transit between different cellular states and promote tumor growth, disease progression after therapy, and metastasis.
We have previously reported that inducing cell dedifferentiation with the so-called Yamanaka factors can lead to the development of a variety of tumors. We have also demonstrated that tissue damage—the main driver of cancer—triggers the onset of cellular senescence which then induces dedifferentiation and the acquisition of stem cell properties in vivo. These findings have important therapeutic implications given that chemotherapy and radiotherapy—the cornerstones of treatment for most cancers—could have the side effect of inducing stemness in non-stem cancer cells and, in turn, possibly contribute to tumor recurrence and cancer cell spread.
Our main objective is to advance insights into the mechanisms and drivers implicated in this process, with the ultimate goal of developing novel therapies based on the inhibition of cancer cell plasticity.
Over the last few years, our efforts have mainly focused on identifying and characterizing novel cancer microproteins, encoded by previously assumed non coding regions, which could be novel actors in carcinogenesis. We have discovered several new cancer microproteins and have obtained compelling evidence in vitro and in vivo that they act as novel tumor suppressors, inducing cell cycle arrest, differentiation or inhibition of mesenchymal traits in cancer cells.
In recent years, using a peptidomics approach, we have identified a set of microproteins secreted by pancreatic tumors, either soluble or secreted in exosomes. Importantly, many of these microproteins are also detected in patients´plasma. During 2023 we have deeply characterized two of them, C9 and C13, and demonstrated that they are secreted by PDAC tumors and have a pro-metastatic role in preclinical mouse models. Our results suggest that microproteins are crucial cellular messengers for pancreatic cancer metastasis and they could also serve as novel cancer biomarkers for the early detection of disease and patient stratification for tailored therapies, as well as therapeutic targets.
In 2023 we have continued working on our collaborative project to study therapy-induced tumoral senescence and its potential as a therapeutic target, funded by the Asociación Española Contra el Cáncer - AECC (Spanish Association Against Cancer). Notably, we have observed that different chemotherapies currently used in the clinic to treat pancreatic cancer induce different types of cellular senescence, which intriguingly have opposite effects on the recognition of tumor cells by the tumor infiltrating lymphocytes (TILs).
Some drugs induce a type of senescence that increases tumor cell recognition by TILs, while others impair tumor cell recognition. These are very interesting results with obvious clinical implications, and we aim to decipher the molecular mechanisms behind this effect in the coming years. In addition, in collaboration with Manuel Serrano’s group (IRB Barcelona) and Alena Gros’ VHIO group, we have published a paper in Cancer Discovery demonstrating the immunogenic role of therapy-induced senescence and (Marin et al. 2023).
Figure: A) We have generated a comprehensive patient matched collection of pancreatic cancer samples. This will be instrumental for our research. B) We have identified novel secreted microproteins secreted by cancer cells that act as intercellular messengers to promote tumor growth and metastasis. C) We are investigating the impact of therapy in the tumor-stroma crosstalk, by co-cultures of cancer cells-CAFs-TILs.
Group Leader Francisco Martínez Jiménez Postdoctoral Fellow Ana Dueso Barroso
Bioinformaticians Lucas Michel, Natasa Mortvanski Data Analyst Joseph Usset
Visiting Student Sara Morelli
Our group focuses on advancing insights into the genomic basis of tumorigenesis and its interplay with the immune system. We perform large-scale tumor genomic analyses matched with a comprehensive profiling of the tumor immune microenvironment to better understand the tumor-immune crosstalk. Our final goal is to leverage this knowledge to improve the clinical development of tailored immunotherapies.
Cancer is characterized by an uncontrolled growth of cells that are not cleared by the immune system. Every tumor has a unique composition of genomic alterations acquired over the evolution of the tumorigenic clone. While tumors often harbor hundreds to thousands of genomic alterations, only a handful are responsible for the tumorigenic process (the so-called drivers). Driver alterations tend to be cancer-type specific (Martínez-Jiménez et al. 2020) and are generally conserved between primary and metastatic lesions (Martínez-Jiménez et al. 2023).
It is however becoming increasingly clear that tumor genomic alterations are not the only promoters of tumor development and metastasis. Other factors including cancer immune escape also play a critical role. In this context, we are interested in developing computational models to 1) further understand the interplay between tumor evolution and the immune system, and 2) harness this knowledge to improve the clinical development of tailored immunotherapies.
Our approach is based on integrating the genomic portrait of tumors (based on whole-exome/genome sequencing), which includes the identification of simple and complex tumor specific alterations, rationalized prioritization of tumor neoantigens, and characterization of tumor HLA-I status and other immune escape alterations; combined with a quantitative portrayal of the tumor immune microenvironment (using bulk transcriptomics/proteomics immune deconvolution, single cell and geospatial immune profiling, and TCR-sequencing). As an example, we have recently performed a large-scale analysis of the prevalence and impact of genetic immune escape alterations across >6,000 primary and metastatic tumors (Martinez-Jiménez, Priestley et al. 2023).
Thanks to our close collaboration with the Hartwig Medical Foundation we have access to one of the largest resources of whole genome sequenced tumors and full tumor transcriptomes (currently >6,000 patients, https://database.hartwigmedicalfoundation.nl/). Moreover, in-house data is generated to support the validation of our analyses and address specific questions that require more targeted analysis.
Figure: Overview of the Computational Immunogenomics Lab’s Research Workflow. Our laboratory utilizes both public (e.g., Hartwig Medical Foundation) and in-house patient cohorts with extensively characterized tumors through multiple omics to address two primary objectives: 1) Understanding fundamental aspects of tumor evolution and its interaction with the immune system and 2) advancing the development of improved treatment biomarkers and personalized immunotherapies. Our approach is grounded in large-scale computational analyses using real cancer patient data, which are subsequently prospectively validated in vivo with patient tumors obtained from the Vall d’Hebron University Hospital (right panel). This collaborative effort involves close coordination with researchers employing orthogonal experimental approaches as well as clinical oncologists. Our ultimate goal is to translate our findings into enhanced treatments for future patients.
Group Leader Violeta Serra Postdoctoral Fellow Alba Llop-Guevara Graduate Students Heura Domènech, Andrea Herencia, Laia Monserrat, Andreu Òdena, Flaminia Pedretti Visiting Student Giorgia Casali Technicians Marta Guzmán, Cristina Molina, Olga Rodríguez
We conduct bench-to-bedside preclinical research in breast cancer to advance insights into biomarkers of response to targeted therapies. To do so, we generate preclinical models including patient-derived xenografts (PDXs) and patient-derived cultures (PDCs) from primary or metastatic breast cancer.
We have significantly contributed to the field of endocrine resistance and continue to advance insights into mechanisms of sensitivity and resistance to CDK4/6 inhibitors, FGFR inhibitors, AKT inhibitors, and AR modulators (SARMs) in breast tumors. Using clinically relevant PDXs, we have further supported that the loss of G1-cell cycle checkpoint control, such as mutation/loss of RB1 or CCND1- amplification, is associated with the lack of response to CDK4/6 blockade in estrogen receptor-positive (ER+) breast cancer. Additionally, we have generated a collection of PDXs with FGFR amplification to study biomarkers of sensitivity to FGFR inhibitors; both pan-FGFR1-4 and multi-targeted tyrosine kinase inhibitors (MTKIs).
We are also currently exploring the potential of a novel antibody-drug conjugate (ADC) as a therapeutic strategy for advanced breast cancers that have developed resistance to standard of care treatments.
Encouraged by the early success of DNA damage repair inhibitors in germline BRCA1/2 mutated tumors, we initiated a project to identify biomarkers of response to PARP inhibitors (PARPi) as well as other DNA damage repair inhibitors including those targeting WEE1 or ATR.
Our studies underpin the capacity of germline BRCA1/2 mutant tumors to recover DNA repair functionality and develop resistance to PARPi. We have developed an assay, the RAD51 test, which accurately identifies germline BRCA1/2 tumors that have restored DNA repair functionality and become resistant to these therapies. Importantly, this test also identifies tumors that are sensitive to PARPi through alterations in DNA repair by homologous recombination beyond the germline BRCA1/2 condition. We filed a patent (EU application in 2017 and PCT in 2018), and we are currently validating the use of this test in tumor samples from breast, ovarian, pancreatic, and prostate cancer patients.
Finally, we are also investigating the effects of PARPi on the tumor immune environment. DNA repair-deficient tumors accumulate cytosolic DNA, which can elicit an innate immune signal (the STING pathway) and upregulate interferon-related genes, leading to lymphocytic infiltration and PD-L1 expression. We are testing the hypothesis that treatment of DNA repair-deficient tumors with PARPi elicits a DNA damage response, resulting in the upregulation of PD-L1 that might limit the antitumor immune-mediated cytotoxicity by lymphocytes, but sensitizes to anti-PD-L1 treatments.
Our group works closely together with Cristina Saura’s Breast Cancer Group, and Judith Balmaña’s Hereditary Cancer Genetics Group. Reflective of VHIO’s purely multidisciplinary and translational approach, our research is also carried out in collaboration with other groups including VHIO’s Molecular Oncology Group, Cancer Genomics Group, and Oncology Data Science – ODysSey Group, directed by Paolo Nuciforo, Ana Vivancos and Rodrigo Dienstmann, respectively.
In short, our group has significantly advanced insights into the mode of action of novel targeted therapies, identified new response biomarkers, and developed a biomarker-based assay with potential clinical application. We have also demonstrated the efficacy of hypothesis-based drug combinations.
Figure: Swimmer plot depicting the duration of PARPi-containing treatments for breast cancer patients (n=34), 26 of which their ctDNA was sequenced by a targeted HRR gene panel (solid gray lines). Hospital of origin, cancer subtype, type of treatment, HRR mutation status, mechanism of resistance (MoR) and the tumor functional HRD status by RAD51 at baseline and upon PARPi progression are shown for each patient when available. Timepoints when blood was taken for ctDNA analysis are indicated with a triangle if the sample was taken at baseline, a circle if the sample was taken during treatment, or a square if the sample was taken upon PARPi progression. The arrow indicates ongoing treatment, and the cross indicates PARPi toxicity. The timepoint of best response is shown as a diamond and the colors correspond to a different type of response (CR= complete response, green; PR= partial response, yellow; SD= stable disease, orange; PD= progression disease, red).
Group Leader Joan Seoane Staff Scientist Ignasi Barba Postdoctoral Fellows Ester Bonfill-Teixidor, Laia Cuesta, Clara Durán, Raffaella Iurlaro, Nicolás Pelaez Graduate Students Laura Carrillo, Cayetano Galer, María López Bioinformatician Almudena Neva Lab Manager Alexandra Arias Technicians Isabel Cuartas, María Duarte, Iris Marcote
Glioblastoma and brain metastasis are some of the most aggressive of all cancers with a dismal prognosis and limited therapeutic options. We focus on advancing the brain tumor field toward improving outcomes for patients.
Our group is designing tools to monitor and characterize these cancers. We previously discovered that brain tumors can be characterized by analyzing immune cells and cell-free circulating tumor DNA in cerebrospinal fluid. While no biomarker derived from liquid biopsy against these tumors has yet been integrated into clinical practice, mounting evidence reported in the literature—including our own findings—point to its clinical utility in the real-time evaluation of malignant disease and potential for guiding the therapeutic management of patients.
Reflective of our work in the field, in 2023 we co-authored the EANO-ESMO Clinical Practice Guideline including the clinical applications of liquid biopsies in leptomeningeal metastasis (Le Rhun et al. 2023). We have also contributed to the compilation of the ESMO/ASCO Recommendations for a Global Curriculum in Medical Oncology Edition 2023 (Cufer et al. 2023) which included an additional section on the study of biology and basic sciences for the training of medical oncologists.
We are devoted to advancing research toward developing novel therapeutic compounds for the treatment of brain cancer. We have reported the preclinical characteristics and mechanism of action of MSC1, now AZD0171 (Hallett et al. 2023) (Figure), with Joan Seoane as corresponding author.
MSC-1/AZD0171 is a LIF neutralizing antibody developed by VHIO spin-off, Mosaic Biomedicals, co-founded by Joan in 2012. Mosaic Biomedicals was acquired by Medimmune/Astrazeneca in 2020. A phase II study designed to evaluate this compound in metastatic pancreatic adenocarcinoma completed recruitment in 2023 (NCT04999969). In addition, a new clinical trial testing AZD0171 in non-small cell lung cancer opened in 2023 and is actively recruiting patients (NCT05061550).
The tumor microenvironment and the immune system play a crucial role in cancer progression and treatment response. Advancing insights into the tumor microenvironment will facilitate the development of novel immunotherapies. However, optimal preclinical models for the study and testing of immunotherapies are lacking, as highlighted in an invited viewpoint article on the advances and limitations of patient-derived preclinical models by Joan Seoane (Seoane. 2023). In our laboratory we are developing novel strategies and cancer models to more faithfully recapitulate and capture the complexity and heterogeneity of the tumor immune ecosystem.
Finally, we have collaborated with Ana Vivancos, Head of VHIO’s Cancer Genomics Group, to develop predictive biomarkers of immunotherapy response (Hernando-Calvo et al. 2023). We have also worked together with Lluís Espinosa at the Hospital del Mar Research Institute (IMIM), also in Barcelona, to discern the oncogenic role of LIF in colorectal cancer (Pecharromán et al. 2023).
Figure: Mechanism of action of MSC1/AZD0171. MSC1/AZD0171 is a therapeutic antibody that binds with LIF and allows the binding of the complex to LIFR precluding the interaction of the complex to the coreceptor GP130. In this manner, MSC1 blocks the signaling pathway downstream of LIF. Hallett et al. Clin Cancer Res. 2023.
Group Leader Joaquín Arribas Postdoctoral Fellows Enrique Javier Arenas, Vanesa Nogales Graduate Students Ariadna Grinyó, Marta Lalinde, Pablo Ovejero, Macarena Román Alonso Technicians Marta Escorihuela, Judit Gago, Sandra Perez Visiting Scientists Marta Bort, Constanza Cortes, Santiago Duro, Christopher George, Alex Martínez-Sabadell
In 2023, we have continued to expand our platform of patient-derived xenograft (PDX) models, investigate novel therapies against human epidermal growth factor receptor 2-positive (HER2+) breast cancer, and foster collaboration with other VHIO groups.
PDXs are advanced research models in which tumor tissues from patients are implanted into immunocompromised or humanized mice. These models faithfully recapitulate the characteristics of cancer, such as intratumor heterogeneity, and represent a powerful tool for testing novel drugs. By preserving the histological structure and genetic characteristics of original patient tumors, PDX are proving invaluable for mechanistic research, drug development and personalized therapy.
Our PDX platform has been key to the success of three collaborative projects, the outcomes of which were published this year – as described below.
First, our collection of PDX enabled us to evaluate MEN1611, a PI3K δ-sparing inhibitor, in PIK3CA-mutated trastuzumab-resistant HER2+ breast cancer models. Preclinical results point to its potential as a viable treatment option for patients who have exhausted conventional therapies (Fiascarelli et al. 2023).
A second study leveraged PDX models to decipher the complex interactions between BRD4S, LOXL2, and MED1 as drivers of cell cycle transcription in triple-negative breast cancer (TNBC). Results of this study could ultimately lead to the development of new targeted therapeutic strategies for TNBC (Pascual‐Reguant et al. 2023).
Carried out in collaboration with our Upper Gastrointestinal Tumors Group translational research lab led by Teresa Macarulla and Tian Tian, research focused on metastatic cholangiocarcinoma (CCA) used PDX and tumoroid models for the preclinical evaluation of treatment response to PARP inhibitors. By mirroring the unique genetic make-up of each patient’s cancer, these models constitute a valuable resource in advancing personalized medicine in oncology (Serra-Camprubí et al. 2023).
HER2 is a crucial protein implicated in the development and progression of various tumor types, playing a key role cell growth, survival and differentiation. HER2 overexpression is linked to aggressive tumor growth, a poorer prognosis, and reduced response to some conventional therapies, making it a highly sensitive target for cancer treatment.
We continue to work on the development of immune-based therapies against HER2. We have created three-dimensional (3D) cell cultures for chimeric antigen receptor (CAR) T cells that are specific to HER2 and derived from peripheral blood mononuclear cells. This approach aims to enhance their proliferaton, functionality, and therapeutic efficacy for use in cellular therapies. By adopting a 3D culture system, we have mimicked the natural cellular microenvironment more closely, potentially overcoming the limitations of conventional two-dimensional cultures and enhancing the success of CAR T cell-based treatments (Río et al. 2023).
We have also studied the factors and mechanisms that regulate immune infiltration in TNBC (Quintana et al. 2023). These and other recent findings on novel therapies against HER2 were the subject of two review articles that we also co-authored (Duro-Sánchez et al., Adam-Artigues et al. 2023).
Led by VHIO’s Breast Cancer Group directed by Cristina Saura, we have participated in a novel proof-of-concept study demonstrating the viability of detecting tumor DNA in breast milk. This discovery could open new avenues for the early diagnosis and treatment of postpartum breast cancer (Saura et al. 2023).
Figure: Summary scheme of PMBC cultures, including CAR T-cell formation, in 3D polystyrene scaffolds.
Group Leader Laura Soucek Senior Investigator Jonathan R. Whitfield Research Associate Mariano F. Zacarías-Fluck Postdoctoral Fellow Ana Lopez Garza Technicians Judit Grueso, Romina Mariel Rodriguez, Erika Serrano del Pozo, Manrique Jose Valdez-Bango Martín PhD Students Daniel Capitán Leo, Fabio Giuntini, Íñigo González-Larreategui
Our group focuses on the pleiotropic and ubiquitous MYC oncoprotein, whose deregulation is implicated in almost all human cancers. The technical challenges of targeting nuclear transcription factors such as MYC –and the concern regarding potential side effects–had until recently precluded any preclinical validation of MYC inhibition as a possible therapeutic strategy.
Over the past few years, we have demonstrated in several mouse models that MYC inhibition has a dramatic therapeutic impact across several tumor types, with very mild and reversible side effects in normal tissue.
Encouraged by our results in mice, we are now interested in developing viable, non-toxic pharmacological options for MYC targeting in the clinic. To do so, we created a spin-off company, Peptomyc S.L., for the development of MYC-inhibiting peptides for cancer therapy. In partnership with Peptomyc, our laboratory is currently validating our novel approach against notoriously difficult-to-treat cancers that are resistant to standard treatments and in dire need of new therapeutic avenues (i.e., KRAS-driven non-small cell lung cancer, glioblastoma, and metastatic triple-negative breast cancer).
The first Omomyc-derived compound, OMO-103, successfully completed a phase I clinical trial in October 2022. OMO-103 is the first direct MYC inhibitor to have successfully passed stage I of clinical development. On the basis of this success, a Phase Ib trial was initiated in 2023 with OMO-103 as first-line treatment in metastatic pancreatic ductal adenocarcinoma in combination with standard of care chemotherapy. This study is sponsored by Peptomyc and performed in 4 Spanish hospitals including the Vall d’Hebron University Hospital – HUVH (Vall d’Hebron Barcelona Hospital Campus).
We have continued to contribute to cancer research in general and, more specifically as a leading group in the MYC field, by authoring articles and reviews exploring new aspects of MYC biology in different pathologies and summarizing efforts to develop a clinically viable MYC inhibitor.
Figure: Omomyc-induced transcriptional modulation targets key melanoma genes. Chord diagram of common downregulated genes linked to categories of downregulated gene sets (left), and Supervised K-means clustering string analysis of downregulated genes (right). Adapted from Zacarías-Fluck et al. (2023).
Group Leader Joaquin Mateo Senior Investigator Nicolas Herranz Staff Researcher Gisela Mir Associate Investigator Irene Casanova Postdoctoral Researcher Luisa Delgado Clinical Research Fellow Pablo Cresta PhD Students Sara Arce, Julian Brandariz, Youhao Chen, Victor Esquefa, Roma Sunder Technicians Laura Agundez, Teresa Casals, Lara de Llobet, Anna Oliveira, Andrei Salca Clinical Data Curator Anna Serradell Clinical Research Coordinator Maria del Mar Suanes Bioinformatician Daniel Aguilar Master’s Student Elena Endrizzi
Our research focuses on advanced prostate cancer and follows a bench-to-bedside-and-back model. We have set up a platform for acquiring longitudinal samples from advanced prostate cancer patients—both tumor tissue and liquid biopsies—that can be used to investigate the evolving features of disease. We also generate patient-derived laboratory models of advanced prostate cancer that we can leverage to investigate new therapeutic strategies at the bench.
The launch of investigator-initiated clinical trials is a key element of our research strategy, as a platform for correlative studies that can optimize the drug development pathway for prostate cancer patients. We currently serve as the central laboratory for two academic multi-center clinical trials, as well as the national repository in Spain for the IRONMAN registry; an important international project aimed at building up a large collection of clinical data and biospecimens from metastatic prostate cancer (mPC) patients.
We aim to integrate insights in molecular biology, genomics, transcriptomics, computational sciences and clinical data toward developing precision medicine strategies for prostate cancer patients. To do so, our team comprises biomedical scientists with expertise in cancer biology, genomics and transcriptomics, bioinformatics and liquid biopsy, as well as medical oncologists and clinical data managers.
One of our main lines of research is to decipher how prostate cancers adapt to exposure to systemic therapies (mainly androgen-targeting agents), with a particular focus on cell cycle regulation and DNA damage response and the emergence of quiescent and senescent phenotypes as drivers of drug resistance, for the development of new anti-cancer strategies.
By studying in-vitro and in-vivo models, including patient-derived xenografts (PDX) from the patients participating in our clinical studies, we aim to target emergent phenotypes through drug combinations. These studies are currently funded by grants from the Spanish Ministry of Health, Fundación FERO (FERO Foundation), Asociación Española Contra el Cáncer - AECC (Spanish Association Against Cancer), and through collaborations with biopharmaceutical companies.
Our group focuses on the molecular characterization of advanced prostate cancer to advance insights into how tumors evolve in a heterogeneous manner as they acquire resistance to different treatments. We have therefore established a genomics and transcriptomics platform in the lab to perform DNA and RNA profiling from patient biopsies. We are developing novel liquid biopsy assays that will enable us to study disease through longitudinal samples. By exploiting publicly available genomics datasets from patients at different stages of disease, our computational scientists investigate how the genomic profile of disease changes over time. These studies are currently funded by grants from the U.S. Department of Defense (DoD) Congressionally Directed Medical Research Programs (CDMRP), the Spanish Ministry of Health, CRIS Cancer Foundation, AECC, Fundación FERO, and the ”la Caixa” Foundation.
Lastly, given that well-annotated correlative clinical data is crucial to establish the potential relevance of molecular data, our team maintains databases collecting outcome data for all patients who donate samples for our studies to perform subsequent correlative analysis.
To more rapidly advance the field, we believe in team science. We therefore participate in several different collaborations that pool resources and combine cross-border expertise across several different research teams and groups.
In summary, our research integrates different modalities of data generated in the lab that can lead to the design of therapeutic interventions aimed at improving outcomes for prostate cancer patients.
Group Leader César Serrano Oncologist Carlo M. Cicala Postdoctoral Fellow Alfonso García Valverde Predoctoral Fellows Jon Ander Aguirre Carrillo, Júlia Caparrós Mateos, David Gómez Peregrina, Gemma Mur Bonet, Iván Olivares Rivas, Daniel Pilco Janeta Senior Technician Jordi Rosell Aluja Graduate Student Mar Peláez Parra
Sarcomas, tumors of mesenchymal origin, account for 1-2% of all cancers and constitute a group of more than 70 different subtypes. From a biological perspective, sarcomas can be classified into two broad categories: sarcomas driven by simple genetic alterations, such as translocations or specific activating mutations; and tumors with complex and unbalanced genomic profiles. Both include diverse sarcoma subtypes, often with very different molecular characteristics, course of disease and therapeutic implications.
We focus on sarcomas with oncogenic dependency on specific drivers of disease. Among these, gastrointestinal stromal tumor (GIST) is the most common malignant mesenchymal neoplasm. GIST constitutes a paradigmatic model for studying oncogene addiction and identifying structural and functional mechanisms of response and resistance to treatment.
Ongoing efforts aim at achieving a deeper biological understanding of GIST and other sarcomas to advance drug development. The heterogeneity of mechanisms of resistance represents one of the major challenges in improving outcomes for these patients. We therefore aim to identify crucial molecules and signaling mechanisms in GIST biology that could serve as therapeutic targets. Over recent years, the involvement of the ubiquitin pathway and by-pass signaling mechanisms have become a a major focus of research.
We also perform high-throughput genomic and transcriptomic studies to decipher the emerging patterns of resistance in GIST throughout the course of disease.In addition, our group is investigating liquid biopsy in sarcoma. We have proven the clinical validity of circulating tumor DNA (ctDNA) in guiding treatment decision making for patients with GIST. In addition, the GISTomics project—a European initiative led by our group—aims to advance insights into the landscape of GIST evolution. We lead other international projects focused on the role of ctDNA in GIST and other sarcomas to achieve a deeper understanding of the biological features of these tumors in heavily pretreated patients as well as determine next directions toward translating these insights to the clinic.
Our group has initiated new lines of research to study other sarcoma subtypes including muscle-derived sarcomas (leiomyosarcoma and rhabdomyosarcoma), angiosarcoma, and liposarcoma. Functional precision cancer medicine is a major focus of research in these cancers.
Our aim is to have a true clinical impact by improving the daily treatment and care of our patients. We are proud to report that our Sarcoma Multidisciplinary Unit has been designated as an Expert Sarcoma Center of the European Reference Network ERN-EURACAN, and therefore constitutes an optimal setting for translating cancer discovery into clinical benefits.
Figure: Our group has demonstrated the clinical validity of circulating tumor DNA (ctDNA) in GIST for predicting the activity profile of tyrosine kinase inhibitors (TKIs). Thanks to these studies, we have also been able to determine the landscape of resistance in metastatic GIST patients after at least two lines of therapy. Specifically, we observed an evolutionary shift towards a predominance of secondary KIT mutations in the activation loop of the kinase (right side of the figure). Importantly, the detection of primary mutations in KIT, also represented in the figure (left side), reproduces the frequency of affected codons, typically observed in tumor tissue. This study has been performed in baseline and progressing plasma samples from 476 metastatic GIST patients treated in the phase III international VOYAGER trial (Serrano et al. 2023).
Group Leader Héctor G. Palmer Senior Investigator Isabel Puig Postdoctoral Fellows David Aguilar, Oriol Arqués, Belen Elguero, Jordi Martínez-Quintanilla, Lorena Ramirez PhD Students Peijin Jiang, Alex Mur, Candida Salvans Technicians Anna Alcántara, Laia Cabellos, Debora Cabot, Irene Chicote, Raquel Flores, Jordi Vergés Bioinformatican Gilles Flamen
We study the mechanisms underlying the persistence of cancer cells that enable tumors to evade effective therapies and progress to advanced stages of disease.
Using multi-omics approaches we aim to unravel unexpected alterations linked to tumor and single cell phenotypes. Combining gene editing (CRISPR/Cas) with classical signaling biochemistry in cancer cell lines as well as genetically modified mice, patient-derived organoids (PDO) and xenografts (PDX), our group focuses on the functional relevance of these newly identified alterations in patients' response to treatment.
We participate in a global and multidisciplinary task force incorporating medical oncologists, surgeons, radiologists, and nurses. We work closely together to rapidly translate laboratory results to the clinic.
Main research lines include:
Tumor cell dormancy
The study of the intriguing biology of cancer cell dormancy as a driver of chemoresistance, formation of minimal residual disease, and relapse in patients.
We previously discovered a core epigenetic network that governs cancer cell dormancy (Puig et al. 2018)*, and are now investigating the function of TET2, DPPA3 (Cuesta et al. 2023), and other epigenetic and transcription factors in tumor cell dormancy.
Our group is making important progress in developing drugs that modulate drivers of cancer cell dormancy including TET2, as well as defining novel biomarkers to detect chemo-resistant dormant tumor cells. We founded ONIRIA Therapeutics as a spin-off company for the development of innovative therapies that modulate cell dormancy as a new strategy to fight cancer (https://www.oniriatherapeutics.com/).
Response to target-directed treatments
We work in close collaboration with oncologists and pharmaceutical companies to identify molecular mechanisms underlying sensitivity or resistance to drugs blocking Wnt/beta-catenin, Notch, PI3K/AKT, EGFR/LGR5, BRAF/MEK/ERK, CDKs or hippo oncogenic signals (Tenbaum et al. 2012; Puig et al. 2013; Capdevila et al. 2020; Lehal et al. 2020, Harmstron et al. 2021; Herpers et al. 2022 )**.
Based on our discoveries, we are designing new prescreening tests for the genetic-guided selection of patients for possible enrolment in clinical trials. Importantly, our findings are helping to define new rational drug combinations to treat cancer patients with progressive disease that will be evaluated in new academic clinical trials.
Advanced preclinical cancer models
We are expanding and characterizing our PDX collection (colorectal cancer, neuroendocrine cancer, and peritoneal pseudomyxoma), and optimizing their use in evaluating drug efficacy and metastasis by orthotopic injection and live imaging (positron emission tomography and computed tomography, and echography).
Lastly, we are developing ambitious projects through our participation in the EuroPDX, PERSIST-SEQ, CRCelerate, and PMP Accelerate European Consortia for studying cancer resistance and novel preclinical modelling.
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* Puig I, Tenbaum SP, Chicote I, Arqués O, Martínez-Quintanilla J, Cuesta-Borrás E, Ramírez L, Gonzalo P, Soto A, Aguilar S, Eguizabal C, Caratù G, Prat A, Argilés G, Landolfi S, Casanovas O, Serra V, Villanueva A, Arroyo AG, Terracciano L, Nuciforo P, Seoane J, Recio JA, Vivancos A, Dienstmann R, Tabernero J, Palmer HG. TET2 controls chemoresistant slowcycling cancer cell survival and tumor recurrence. J Clin Invest. 2018 Aug 31;128(9):3887-3905.
** Tenbaum SP, Ordóñez-Morán P, Puig I, Chicote I, Arqués O, Landolfi S, Fernández Y, Herance JR, Gispert JD, Mendizabal L, Aguilar S, Ramón y Cajal S, Schwartz S Jr, Vivancos A, Espín E, Rojas S, Baselga J, Tabernero J, Muñoz A, Palmer HG. β-catenin confers resistance to PI3K and AKT inhibitors and subverts FOXO3a to promote metastasis in colon cancer. Nat Med. 2012 Jun;18(6):892-901.
Puig I, Chicote I, Tenbaum SP, Arqués O, Herance JR, Gispert JD, Jimenez J, Landolfi S, Caci K, Allende H, Mendizabal L, Moreno D, Charco R, Espín E, Prat A, Elez ME, Argilés G, Vivancos A, Tabernero J, Rojas S, Palmer HG. A personalized preclinical model to evaluate the metastatic potential of patient-derived colon cancer initiating cells. Clin Cancer Res. 2013 Dec 15;19(24):6787-801.
Capdevila J, Arqués O, Hernández Mora JR, Matito J, Caratù G, Mancuso FM, Landolfi S, Barriuso J, Jimenez-Fonseca P, Lopez Lopez C, Garcia-Carbonero R, Hernando J, Matos I, Paolo N, Hernández-Losa J, Esteller M, Martínez-Cardús A, Tabernero J, Vivancos A, Palmer HG. Epigenetic EGFR Gene Repression Confers Sensitivity to Therapeutic BRAFV600E Blockade in Colon Neuroendocrine Carcinomas. Clin Cancer Res. 2020 Feb 15;26(4):902-909.
Figure: Chemotherapy induces hypoxia response by increasing DPPA3 levels in cancer cells, which in turn promotes a chemoresistant proliferative-delayed state. We have identified DPPA3 as a molecular epigenetic node linking hypoxia response with the acquisition of slow-cycling capacity that fosters cancer cell persistence.
Group Leader Alena Gros Postdoctoral Fellows Andrea Garcia-Garijo, Pierre Levy, Endika Prieto, Graduate Students Immaculada Creus, Judit Diaz, Johanna Kusnick, Anna Yuste Technicians Marina Arroyo, Carla Brujas, Albert Marín Lab Manager Noelia Alcazar
Immunotherapies exploit the immune system to attack cancer. Clinical studies have shown that immune checkpoint inhibitors and T-cell-based therapies can mediate tumor regression in patients with metastatic disease. In addition to surgery, radiation therapy and chemotherapy, immunotherapy has therefore become the fourth pillar of cancer treatment. We focus on advancing insights into the naturally occurring T-cell response to cancer and establishing ways to exploit these antitumor responses to develop more effective and personalized immunotherapies.
Mounting evidence shows that neoantigens play an important role in the clinical efficacy of cancer immunotherapies. Thanks to the support received from the BBVA Foundation's Comprehensive Program of Cancer Immunotherapy & Immunology – CAIMI-I and CAIMI-II, as well as other funding agencies, and through our group’s long-standing collaboration with Elena Garralda, Group Leader of VHIO’s Early Clinical Drug Development Group, and Director of our Research Unit for Molecular Therapy of Cancer (UTIM) – CaixaResearch, we received authorization from the Agencia Española de Medicamentos y Productos Sanitarios (AEMPS - Spanish Regulatory Agency) in May 2021 to initiate a phase I clinical trial to evaluate the safety and tolerability of neoantigen-selected TILs.
This ongoing clinical trial is funded by the Instituto de Salud Carlos III – ISCIII (Carlos III Health Institute) and adopts a highly personalized approach (Figure) to screen for T-cell mediated recognition of mutated antigens. In this pilot study we aim to treat up to 10 patients with epithelial cancers and melanoma refractory to standard therapies. By enriching for neoantigen-reactive lymphocytes, we hope to extend the efficacy of TIL therapy beyond melanoma. In addition, our group is involved in several other clinical trials using non-selected ex vivo expanded TIL for the treatment of melanoma, germ cell cancers and tumors with mutations in the SWI/SNF complex.
One of our group’s strategic goals is to develop strategies that exploit the circulating tumor-reactive lymphocyte repertoire. We have shown that tumor-reactive T cells can frequently be detected circulating in the blood of cancer patients, irrespective of the specific tumor type. The ability to track and monitor tumor-reactive CD8+ and CD4+ T cells in blood has tremendous therapeutic potential, but this approach is more challenging due to the lower prevalence of these cells. We have contributed to defining a phenotypic signature that can guide the identification and enrichment of tumor and neoantigen-reactive T cells from the blood of cancer patients which we aim to leverage to develop minimally invasive T-cell therapies. We also aim to conduct extensive profiling of the peripheral blood T-cell response at the single cell level in patients treated with immune checkpoint inhibitors to better understand the determinants of response.
Our group is also interested in developing high-throughput technologies to better decipher the landscape of tumor antigens that increase cancer cells’ susceptibility to immune attack, and advance insights into shared neoantigens as well as mechanisms of resistance to T-cell cytotoxicity.
Figure: Personalized approach to identify tumor and neoantigen-specific TILs. A) We sequence normal and tumor DNA to identify all the non-synonymous mutations. B) In parallel we attempt to generate a tumor cell line. When generated, we isolate the peptide-MHCI complexes, and we identify the peptides presented by MHCI by the tumor cell line by Mass spectrometry. C) Finally, we screen the TILs expanded from the tumor for recognition of the candidate neoantigen peptides identified in A) or eluted from MHCI in B).