Patient-derived Cancer Organoids Research Articles

OGC O05 - Utilising patient derived organoids to predict the response to treatment in gastric cancer

Abstract Background Gastric adenocarcinoma remains a significant global health burden. For advanced disease, treatment remains multi-modal with neoadjuvant chemotherapy followed by resectional surgery. Although the FLOT4-AIO trial has established the regimen of 5-fluorauracil, Leucovorin, Oxaliplatin and Docetaxel (FLOT) as the gold standard, some patients demonstrate a poor or no response to treatment, resulting in adverse oncological outcomes. Currently there are no accurate biomarkers to assess or predict the treatment response to neoadjuvant therapy. This study aims to explore the potential of patient-derived organoids as a predictive model to assess the treatment response to neoadjuvant chemotherapy in gastric adenocarcinoma. Method Patient derived organoids are a novel, 3 dimensional in-vitro model which recapitulates the different cells that constitute the tissue of origin. From June 2023 to June 2024, 25 patients with a confirmed diagnosis of gastric adenocarcinoma, were recruited for tissue acquisition for organoid generation. Endoscopic biopsies of cancer tissue taken during OGD and staging laparoscopy were used to generate organoids from each patient. Organoids were subsequently expanded to a sufficient volume to allow cytotoxicity assays in response to different doses of the FLOT regimen. The organoid cytotoxicity response was compared to the patients radiological and pathological response following treatment. Results Organoids were successfully generated from 76% of recruited patients (n=19). Of these, 4 patients and were excluded due to being unfit for neoadjuvant chemotherapy, whilst 2 were excluded due to the confirmation of metastatic disease, precluding neoadjuvant treatment. Finally a single patient was excluded due to mortality during neoadjuvant treatment. Of the remaining organoids, 5 were subjected to FLOT treatment within 2 weeks of tissue acquisition. Organoids demonstrated unique dose response profiles following with statistically significant differences in the IC50 values (p =0.048). The organoid responses corresponded to the clinical responses demonstrated by the patient they were derived from. Conclusion In conclusion, this study underscores the potential of patient-derived cancer organoids as a predictive model for assessing the response to neoadjuvant chemotherapy in gastric adenocarcinoma. The generation of organoids from a significant proportion of patients and the subsequent drug response testing within 2 weeks of tissue acquisition suggests this novel method has the potential to become a valuable tool for predicting patient-specific responses and guiding personalised treatment plans. As such, further research is warranted to further assess the validity of this model, refine the existing techniques and explore its potential integration into clinical practice.

The dichotomous roles of microbial-modified bile acids 7-oxo-DCA and isoDCA in intestinal tumorigenesis

The gut microbiota has a significant impact on the development and function of intestinal epithelial cells (IECs) by modifying bile acid (BA) metabolites. Recently, specific gut microbiome-derived BAs, such as 7-oxo-deoxycholic acid (7-oxo-DCA) and isodeoxycholic acid (isoDCA), have been identified to be shifted inversely in colitis and hepatic liver diseases. Although the responsible gut microbes have been identified, metabolites' effects on IECs remain largely unclear. We found that although high-fat diet treatment in mice elevated both 7-oxo-DCA and isoDCA levels, during intestinal tumorigenesis, 7-oxo-DCA levels rise while isoDCA levels decrease. Interestingly, 7-oxo-DCA promotes cancer cell growth, while isoDCA suppresses it. Moreover, 7-oxo-DCA promotes whereas isoDCA inhibits the proliferation of intestinal stem cells in organoids derived from WT and APCMin/+ mice, as well as in patient-derived colon cancer organoids. The APCMin/+ mice administered with 7-oxo-DCA heightened gut permeability and increased tumor burden, whereas isoDCA protected gut barrier and reduced tumor loads. Both BAs reshape the BA pool and shifted gut microbiome. Mechanistically, we identified 7-oxo-DCA as a natural antagonist of Farnesoid X Receptor (FXR) to downregulate FXR signaling, as opposed to isoDCA, which is a potent FXR agonist to upregulate FXR signaling. In conclusion, we unveiled the opposing roles of 7-oxo-DCA and isoDCA to promote or inhibit intestinal tumorigenesis, respectively. Manipulating the BA-FXR axis during tumor initiation and progression holds great promise for developing innovative diagnostic and therapeutic approaches for the treatment of colorectal cancer.

Patient-Derived Organoids on a Microarray for Drug Resistance Study in Breast Cancer.

Drug resistance is always a challenge in cancer treatment, whether for chemotherapy, targeting, or immunotherapy. Although tumor cell lines are derived from cancer patients, they gradually lost the original characteristics, including heterogeneity and tumor microenvironment (TME), during the long period of in vitro culturing. Therefore, it is urgent to use patient-derived tumor models instead of cancer cell lines to study tumor drug resistance. Herein, we developed a microarray device that serves as a platform for high-throughput and three-dimensional culture of breast cancer patient-derived organoids (BCOs) and investigated their resistance to adriamycin (ADM). Coupled with fluorescence microscopy, this system enabled on-chip drug response monitoring and cell viability assessment without the consumption of a large number of tumor cells. The organoids were divided into a resistant BCO group (RBCO) and a sensitive BCO group (SBCO) according to their half-inhibitory concentration (IC50). Different from cancer cell lines, BCOs demonstrated obvious heterogeneity in drug treatment. Ivermectin (IVM), a broad-spectrum antiparasitic agent approved by the Food and Drug Administration (FDA), was observed to synergistically augment ADM-induced cytotoxicity in organoids. The BCO chip provides a promising platform for investigation of drug resistance and preclinical drug screening based on clinical samples.

Leveraging the potential of 1.0-mm i.d. columns in UHPLC-HRMS-based untargeted metabolomics.

Untargeted metabolomics UHPLC-HRMS workflows typically employ narrowbore 2.1-mm inner diameter (i.d.) columns. However, the wide concentration range of the metabolome and the need to often analyze small sample amounts poses challenges to these approaches. Reducing the column diameter could be a potential solution. Herein, we evaluated the performance of a microbore 1.0-mm i.d. setup compared to the 2.1-mm i.d. benchmark for untargeted metabolomics. The 1.0-mm i.d. setup was implemented on a micro-UHPLC system, while the 2.1-mm i.d. on a standard UHPLC, both coupled to quadrupole-orbitrap HRMS. On polar standard metabolites, a sensitivity gain with an average 3.8-fold increase over the 2.1-mm i.d., along with lower LOD (LODavg 1.48ng/mL vs. 6.18ng/mL) and LOQ (LOQavg 4.94ng/mL vs. 20.60ng/mL), was observed. The microbore method detected and quantified all metabolites at LLOQ with respect to 2.1, also demonstrating good repeatability with lower CV% for retention times (0.29% vs. 0.63%) and peak areas (4.65% vs. 7.27%). The analysis of various samples, in both RP and HILIC modes, including different plasma volumes, dried blood spots (DBS), and colorectal cancer (CRC) patient-derived organoids (PDOs), in full scan-data dependent mode (FS-DDA) reported a significant increase in MS1 and MS2 features, as well as MS/MS spectral matches by 38.95%, 39.26%, and 18.23%, respectively. These findings demonstrate that 1.0-mm i.d. columns in UHPLC-HRMS could be a potential strategy to enhance coverage for low-amount samples while maintaining the same analytical throughput and robustness of 2.1-mm i.d. formats, with reduced solvent consumption.

METTL16 inhibits pancreatic cancer proliferation and metastasis by promoting MROH8 RNA stability and inhibiting CAPN2 expression.

N6-methyladenosine (m6A) modification plays a crucial role in the progression of various cancers, including pancreatic cancer, by regulating gene expression. However, the specific mechanisms by which m6A affects pancreatic cancer metastasis remain unclear. This study aims to elucidate the role of METTL16, an m6A writer gene, in regulating core genes such as CAPN2 and MROH8, influencing tumor growth and metastasis. Transcriptomic data from pancreatic cancer patients in The Cancer Genome Atlas (TCGA) were analyzed to identify m6A-related genes. We performed correlation and survival analyses to uncover core genes influenced by m6A expression. Functional assays, including METTL16 knockdown and overexpression experiments, were conducted in pancreatic cancer cell lines, patient-derived organoids, and animal models. Immunofluorescence, co-immunoprecipitation (Co-IP), and m6A-specific quantitative PCR were used to validate protein interactions and m6A modifications. Chromatin immunoprecipitation (ChIP) analysis was utilized to investigate transcription factor binding at gene promoter regions. METTL16 and METTL3 were identified as key m6A regulators associated with improved prognosis in pancreatic cancer patients (P<0.05). CAPN2, CHMP2B, ITGA3, ITGA6, ITPR1, and RAC1 were identified as core genes linked to m6A expression, all significantly correlated with patient prognosis (P<0.05). METTL16 overexpression significantly inhibited tumor growth and metastasis (P<0.001) by downregulating CAPN2 through an indirect mechanism involving the transcription factor TBP and the gene MROH8. MROH8 negatively regulated CAPN2 by promoting TBP degradation, with METTL16 enhancing MROH8 mRNA stability through m6A modifications (P<0.01). Functional assays demonstrated that METTL16 and YTHDC2 (an m6A reader) collaboratively enhanced MROH8 mRNA stability, thereby inhibiting CAPN2 expression and reducing tumor proliferation and metastasis (P<0.001). This study reveals a novel regulatory axis involving METTL16, MROH8, and TBP that modulates CAPN2 expression, contributing to the suppression of pancreatic cancer progression. The METTL16-MROH8-TBP-CAPN2 pathway offers potential therapeutic targets for pancreatic cancer treatment, highlighting the significance of m6A modifications in tumor regulation. Further clinical validation is needed to confirm these findings in human patients.

Modeling epithelial-mesenchymal transition in patient-derived breast cancer organoids.

Cellular plasticity is enhanced by dedifferentiation processes such as epithelial-mesenchymal transition (EMT). The dynamic and transient nature of EMT-like processes challenges the investigation of cell plasticity in patient-derived breast cancer models. Here, we utilized patient-derived organoids (PDOs) as a model to study the susceptibility of primary breast cancer cells to EMT. Upon induction with TGF-β, PDOs exhibited EMT-like features, including morphological changes, E-cadherin downregulation and cytoskeletal reorganization, leading to an invasive phenotype. Image analysis and the integration of deep learning algorithms enabled the implantation of microscopy-based quantifications demonstrating repetitive results between organoid lines from different breast cancer patients. Interestingly, epithelial plasticity was also expressed in terms of alterations in luminal and myoepithelial distribution upon TGF-β induction. The effective modeling of dynamic processes such as EMT in organoids and their characteristic spatial diversity highlight their potential to advance research on cancer cell plasticity in cancer patients.

Microfluidic Chip-Based Automatic System for Sequencing Patient-Derived Organoids at the Single-Cell Level.

Genetically sequencing patient-derived organoids (PDOs) at the single-cell level has emerged as a promising method to infer cell-level heterogeneity of original organs and improve cancer precision medicine. Unfortunately, because of the limited starting quantity and uncontrolled establishing process of PDOs, the existing single-cell sequencing technologies, either manual-operation-based or microfluid-based, are inefficient in processing PDOs originating from clinical tissue samples. To address such issues, this study presents a microfluidic chip-based automatic system for sequencing organoids at the single-cell level, named as MASSO. By performing all required procedures, including PDO establishment/culturing/digesting and single-cell isolation/lysis/whole-genome amplification, in a single microfluidic chip, the possible loss of precious PDO is avoided, and the high quality of on-chip whole-genome amplification of a single PDO cell is ensured. By automating the entire operation process, possible human error is eliminated, and the data repeatability is improved, therefore bridging the technical gap between laboratorial proof-of-concept studies and clinical practices. After characterizing the organoid single-cell whole-genome amplification chip (named as OSA-Chip) and the MASSO, the first successful attempt, to the best of our knowledge, on whole-genome sequencing lung cancer PDO at the single-cell level was performed by MASSO. The results reveal that the MASSO is capable of not only identifying common cancer-related mutations but also discovering specific mutations that affect drug responses, therefore laying the technical foundation for efficiently understanding the cell-level heterogeneities of PDOs and corresponding original organs.

In vitro drug testing using patient-derived ovarian cancer organoids

BackgroundOvarian cancer is the most lethal gynecological cancer. As the primary treatment, chemotherapy has a response rate of only 60–70% in advanced stages, and even lower as a second-line treatment. Despite guideline recommendations, which drugs will be most effective remains unclear. Thus, a strategy to prioritize chemotherapy options is urgently needed. Cancer organoids have recently emerged as a method for in vitro drug testing. However, limited clinical correlations have been assessed with test results from cancer organoids, particularly in gynecological cancers. We therefore aimed to generate patient-derived organoids (PDOs) of ovarian cancer, to assess their drug sensitivities and correlations with patient clinical outcomes.MethodsPDOs were generated from fresh tumors obtained during surgical resection, which was then cultured under matrix gel and appropriate growth factors. Morphological and molecular characterization of PDOs were assessed by phase contrast microscopy and paraffin-embedded histopathology. Expressions of PAX8, TP53, WT1, CK7, and CK20 were tested by immunohistochemical staining and compared with parental tumor tissues and the human protein atlas database. PDOs were subjected to in vitro drug testing to determine drug sensitivity using Titer-Glo® 3D Cell Viability Assay. PDO viability was measured, and area under the curve calculated, to compare responses to various compounds. Correlations were calculated between selected patients’ clinical outcomes and in vitro drug testing results.ResultsWe established 31 PDOs. Among them, 28 PDOs can be expanded, including 15, 11, and 2 from ovarian, endometrial, and cervical cancers, respectively. The PDOs preserved the histopathological profiles of their originating tumors. In vitro drug testing of 10 ovarian cancer PDOs revealed individual differential responses to recommended drugs, and interpersonal heterogeneity in drug sensitivity, even with the same histology type. Among four patients who were platinum sensitive, resistant, or refractory, PDO drug responses correlated well with their clinical courses.ConclusionIn vitro drug testing using ovarian cancer organoids is feasible and correlates well with patient clinical responses. These results may facilitate development of precision chemotherapy and personalized screening for repurposed or new drugs.

274 (PB262): Development of Patient-Derived Colorectal Cancer Xenograft and Organoid Models with Acquired Resistance to KRAS G12C Inhibitors

274 (PB262): Development of Patient-Derived Colorectal Cancer Xenograft and Organoid Models with Acquired Resistance to KRAS G12C Inhibitors

Artemisitene induces apoptosis of breast cancer cells by targeting FDFT1 and inhibits the growth of breast cancer patient-derived organoids

Artemisitene (ATT) is a natural bioactive compound with anti-breast cancer activity. However, the direct target and clinical efficacy of ATT on breast cancer are still unclear. The current study aimed to identify the target protein and underlying mechanism of ATT in anti-breast cancer. Moreover, patient-derived organoids (PDOs) were employed to assess the clinical efficacy of ATT on breast cancer. Herein, molecular docking, molecular dynamics simulation, cellular thermal shift assay (CETSA) combined with Western blot, surface plasmon resonance (SPR) were applied to confirm the interactional target of ATT in breast cancer cells. Bioinformatics analysis, Western blot, flow cytometry, plasmid construction and lentivirus infection, chromatin immunoprecipitation (ChIP) assay, and quantitative real-time PCR (RT-qPCR) were performed to reveal the potential mechanism of ATT in treating breast cancer. PDOs were established to evaluate the clinical therapeutic efficiency of ATT on breast cancer. We found that ATT interacted with Farnesyl-diphosphate farnesyltransferase 1 (FDFT1) in breast cancer cells. Knockdown of FDFT1 induced NEDD4 expression and apoptosis in breast cancer cells. Overexpression of FDFT1 could rescue ATT-induced apoptosis, while interfering with FDFT1 expression decreased the level of RelA (NF-κB p65 subunit) in the nucleus in breast cancer cells. Knockdown of FDFT1 induced NEDD4 expression by regulating TNFR1/NF-κB pathway. Overexpression of FDFT1 could reverse the activation of ATT-induced TNFR1/NF-κB/NEDD4 pathway in breast cancer cells. Interestingly, the ChIP assay revealed that p65 could regulate NEDD4 transcription. Furthermore, ATT exhibited a broad-spectrum inhibitory effect on the growth of breast cancer PDOs with different pathological subtypes, and showed an excellent safety profile in comparison with that of conventional chemotherapy drugs. In summary, this work demonstrated that ATT targets FDFT1 to induce apoptosis of breast cancer cells through regulating TNFR1/NF-κB/NEDD4 pathway and suppresses breast cancer PDOs growth, which supported ATT as an effective and potential drug candidate for breast cancer treatment.

STAT1 as a tool for non-invasive monitoring of NK cell activation in cancer.

Natural killer (NK) cells play a crucial role in immunotherapy for cancer due to their natural ability to target and destroy cancer cells. However, current methods to visualize NK cells' activity against tumors in live organisms are limited. We introduce an imaging method that non-invasively tracks NK cell activation by cancer cells through the STAT1 protein. To achieve this, we modified NK cells to include a specific genetic sequence that binds to STAT1 when activated. These engineered NK cells (GAS-NK) demonstrate their functionality through various biological tests and analysis. Observations of changes in cancer environments and patient-derived cancer organoid models further confirm the effectiveness of this approach. Our method provides a way to monitor NK cell activity, which could improve the prediction and effectiveness of NK cell-based cancer therapies, contributing to advances in cancer treatment.

Abstract PR-07: Discovery and therapeutic potential of novel cryptic peptides in pancreatic cancer

Abstract While neoantigen-directed therapies have primarily focused on tumor-specific somatic mutations, emerging evidence suggests that some malignancies aberrantly translate regions of the genome outside of annotated open reading frames (ORFs), leading to HLA-I presentation of cryptic peptides. Non-canonical HLA-I bound peptides (ncHLAp) can arise from aberrant translation of genomic elements like 5’ and 3’ untranslated regions (UTRs), long noncoding RNAs (lncRNAs), retained introns, and translation in alternative reading frames. Pancreatic cancer has a low-to-intermediate mutational burden; hence, efforts to broaden the landscape targetable antigens in this disease are greatly needed. Here, we leveraged twelve pancreatic cancer (PDAC) patient-derived organoids (PDOs) to purify and enrich the malignant compartment from low tumor cellularity tumor specimens. PDOs were subjected to extensive genomic (whole genome sequencing) and transcriptomic (RNA-sequencing) profiling to enable mutation calling and HLA typing. We then employed a personalized proteogenomic platform coupled with high-depth immunopeptidomics and empirically identified &amp;gt;90,000 unique PDAC HLA-I-bound peptides (HLAp). We detected HLAp arising from somatic mutations (both missense and frameshift) in a subset of PDAC patients; however, we did not detect any shared mutation-derived neoepitopes in our patient cohort. Moreover, we empirically identified &amp;gt;1,700 ncHLAp, primarily arising from translation of novel unannotated open reading frames (nuORFs), and a substantial proportion of ncHLAp were shared amongst PDAC patients with the appropriate HLA haplotype. We developed a highly stringent pipeline using immunopeptidomics and ribosome-sequencing to investigate translation of nuORFs across a range of healthy tissues, including healthy thymus, and found that &amp;gt;500 ncHLAp exhibit highly-specific cancer-restricted translation. We next investigated the immunogenicity of PDAC-restricted ncHLAp and mutation-derived HLAp using an ex vivo T cell priming and expansion platform. Here we demonstrate that a subset of both mutation-derived and PDAC-restricted ncHLAp harbor robust immunogenicity. ncHLAp-specific T cell receptors (TCRs) were identified from reactive cytotoxic T lymphocytes (CTLs) via single-cell TCR-sequencing, and antigen specificity was confirmed after TCR reconstruction and cloning. Finally, using a newly developed organoid: T cell co-culture platform, we demonstrate that ncHLAp-reactive TCR-redirected T cells exhibit robust cytotoxicity and tumoricidal activity in PDAC, underscoring the translational potential for this novel class of antigens. Collectively, we have shown that cryptic epitopes, arising from aberrant translation in PDAC, represent a particularly promising class of antigens for next generation immune-based therapies. Citation Format: Zackery A Ely, Zachary J Kulstad, Gurcan Gunaydin, Sudarsana Addepalli, Eva K Verzani, Jennifer G Abelin, Marta Casarrubios, Karl R Clauser, Xilin Wang, Isabelle Lippincott, Cedric Louvet, Tom Schmitt, Miles Agus, Kevin S Kapner, Connor J Hennessey, James Cleary, Sine R Hadrup, Susan Klaeger, Jennifer Su, Alex M Jaeger, Brian M Wolpin, Srivatsan Raghavan, Eric Smith, Philip D Greenberg, Andrew J Aguirre, Steven A Carr, Tyler Jacks, William A Freed-Pastor. Discovery and therapeutic potential of novel cryptic peptides in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr PR-07.

Abstract C053: Pancreatic cancer patient-derived organoids, preclinical tools for therapeutic profiling, patient response prediction, and tumor evolution

Abstract Pancreatic cancer (PC) is characterized by an aggressive biology and an exceptionally high tumor heterogeneity that causes considerable variations in response to chemotherapies, targeted agents, and immunotherapies. Patient-derived organoids (PDOs) accurately reflect parental tumor biological and molecular features and may represent powerful preclinical avatars to predict drug response and support clinical decision-making. We generated a living organoid biobank of &amp;gt;100 PC PDO lines from treatment-naïve and pretreated primary tumor and metastases with a reliable efficacy (60.8%), and previously developed a pharmacotyping-guided prediction model to prognosticate patient therapy response in an initial feasibility trial (Beutel AK et al, 2021). Real-life chemotherapy responses in 46 patients (for a total of 93 therapy lines) matched to pharmacotyping-informed predictions with overall 73.1% accuracy, 85.4% sensitivity (responsiveness), and 63.5% specificity (non-responsiveness). Overall, our model allowed a successful drug-response prediction in naïve patients with an accuracy of 73.0% and 70.0% for first and second-line regimens. Prediction power was nevertheless lower in pretreated and heavily pretreated patients with a precision of 68.2% and 50.0% for subsequent chemotherapy lines, respectively. Interestingly, PDO-based pharmacotyping also precisely predicted patient clinical outcome in the neoadjuvant and adjuvant settings, with respective accuracies of 83.3% and 71.4%. Retrospective analysis of patient clinical data in palliative setting finally showed that the administration of a regimen predicted to be efficient ultimately translated into a significantly longer progression-free survival. Implementing automation and drug screening miniaturization to our workflow also significantly enhanced our process capacity, reduced time before pharmacotyping, and improved compliance to internal quality controls. Tracking clonal evolution in longitudinal biopsies (a set of seven PDO pairs derived from the same patients at two distinct timepoints) revealed lower mutational burden and therapy-driven genetic alterations upon progression. Notably, this approach revealed a CHEK2-mutated patient responded over time to PARP inhibitor maintenance therapy, aligning with our predictions and underscoring the robustness of our method. Single nucleus-resolved RNA and ATAC-seq analysis of a unique longitudinally-collected case uncovered transcriptomic and epigenetic dynamics associated with an oncogenic FGFR2 fusion and with a subsequent resistance-mediating mutation upon targeted treatment with FGFR2 inhibitors. Particularly, FGFR2 constitutive activation correlated with aberrant epigenetic trace and transcription programs of downstream targets as PI3K-AKT and RAS family members and of RNA polymerase II transcription machinery. Here, we report a robust and clinically-relevant preclinical tool for drug-response prediction, one more step towards a PDO therapeutic profiling-guided personalized medicine in clinical routine. Citation Format: Johann Gout, Yazid J Resheq, Jessica Lindenmayer, Julian D Schwab, Elodie Roger, Johann M Kraus, Thomas Ettrich, Alica K Beutel, Lukas Perkhofer, Hans A Kestler, Thomas Seufferlein, Alexander Kleger. Pancreatic cancer patient-derived organoids, preclinical tools for therapeutic profiling, patient response prediction, and tumor evolution [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C053.

Microfluidic Platform for Generating and Releasing Patient-Derived Cancer Organoids with Diverse Shapes: Insight into Shape-Dependent Tumor Growth.

Multicellular spheroids and patient-derived organoids find many applications in fundamental research, drug discovery, and regenerative medicine. Advances in the understanding and recapitulation of organ functionality and disease development require the generation of complex organoid models, including organoids with diverse morphologies. Microfluidics-based cell culture platforms enable time-efficient confined organoid generation. However, the ability to form organoids with different shapes with a subsequent transfer from microfluidic devices to unconstrained environments for studies of morphology-dependent organoid growth is yet to be demonstrated. Here, a microfluidic platform is introduced that enables high-fidelity formation and addressable release of breast cancer organoids with diverse shapes. Using this platform, the impact of organoid morphology on their growth in unconstrained biomimetic hydrogel is explored. It is shown that proliferative cancer cells tend to localize in high positive curvature organoid regions, causing their faster growth, while the overall growth pattern of organoids with diverse shapes tends to reduce interfacial tension at the organoid-hydrogel interface. In addition to the formation of organoids with diverse morphologies, this platform can be integrated into multi-tissue micro-physiological systems.

Targeting stress induction of GRP78 by cardiac glycoside oleandrin dually suppresses cancer and COVID-19

BackgroundDespite recent therapeutic advances, combating cancer resistance remains a formidable challenge. The 78-kilodalton glucose-regulated protein (GRP78), a key stress-inducible endoplasmic reticulum (ER) chaperone, plays a crucial role in both cancer cell survival and stress adaptation. GRP78 is also upregulated during SARS-CoV-2 infection and acts as a critical host factor. Recently, we discovered cardiac glycosides (CGs) as novel suppressors of GRP78 stress induction through a high-throughput screen of clinically relevant compound libraries. This study aims to test the possibility that agents capable of blocking stress induction of GRP78 could dually suppress cancer and COVID-19.ResultsHere we report that oleandrin (OLN), is the most potent among the CGs in inhibiting acute stress induction of total GRP78, which also results in reduced cell surface and nuclear forms of GRP78 in stressed cells. The inhibition of stress induction of GRP78 is at the post-transcriptional level, independent of protein degradation and autophagy and may involve translational control as OLN blocks stress-induced loading of ribosomes onto GRP78 mRNAs. Moreover, the human Na+/K+-ATPase α3 isoform is critical for OLN suppression of GRP78 stress induction. OLN, in nanomolar range, enhances apoptosis, sensitizes colorectal cancer cells to chemotherapeutic agents, and reduces the viability of patient-derived colon cancer organoids. Likewise, OLN, suppresses GRP78 expression and impedes tumor growth in an orthotopic breast cancer xenograft model. Furthermore, OLN blocks infection by SARS-CoV-2 and its variants and enhances existing anti-viral therapies. Notably, GRP78 overexpression mitigates OLN-mediated cancer cell apoptotic onset and suppression of virus release.ConclusionOur findings validate GRP78 as a target of OLN anti-cancer and anti-viral activities. These proof-of-principle studies support further investigation of OLN as a readily accessible compound to dually combat cancer and COVID-19.

Selection of the Most Suitable Culture Medium for Patient-Derived Lung Cancer Organoids

Introduction: Patient-derived organoids have emerged as a promising in vitro model for precision medicine, particularly in cancer, but also in noncancer-related diseases. However, the optimal culture medium for culturing patient-derived lung organoids has not yet been agreed upon. This study aimed to shed light on the optimal selection of a culture media for developing studies using patient-derived lung organoids. Methods: Tumor and normal paired tissue from 71 resected non-small cell lung cancer patients were processed for organoid culture. Lung cancer organoids (LCOs) were derived from tumor tissue and normal lung organoids (LNOs) from nonneoplastic lung tissue. Three different culture media were compared: permissive culture medium (PCM), limited culture medium (LCM), and minimum basal medium (MBM). We assessed their effectiveness in establishing organoid cultures, promoting organoid growth and viability, and compared their differential phenotypic characteristics. Results: While PCM was associated with the highest success rate and useful for long-term expansion, MBM was the best option to avoid normal organoid overgrowth in the organoid culture. The density, size, and viability of LNOs were reduced using LCM and severely affected with MBM. LNOs cultured in PCM tend to differentiate to bronchospheres, while alveolosphere differentiation can be observed in those cultured with LCM. The morphological phenotype of LCO was influenced by the culture media of election. Mesenchymal cell overgrowth was observed when LCM was used. Conclusion: This work highlights the importance of considering the research objectives when selecting the most suitable culture medium for growing patient-derived lung organoids.

Patient-derived ovarian cancer organoid carries immune microenvironment and blood vessel keeping high response to cisplatin.

Ovarian cancer is high recurrence and mortality malignant tumor. The most common ovarian cancer was High-Grade Serous Ovarian Cancer. However, High-Grade Serous Ovarian Cancer organoid is rare, which organoid with patient immune microenvironment and blood vessels even absence. Here, we report a novel High-Grade Serous Ovarian Cancer organoid system derived from patient ovarian cancer samples. These organoids recapitulate High-Grade Serous Ovarian Cancer organoids' histological and molecular heterogeneity while preserving the critical immune microenvironment and blood vessels, as evidenced by the presence of CD34 + endothelial cells. Whole exome sequencing identifies key mutations (CSMD3, TP53, GABRA6). Organoids show promise in testing cisplatin sensitivity for patients resistant to carboplatin and paclitaxel, with notable responses in cancer proteoglycans and p53 (TP53) signaling, like ACTG/ACTB1/AKT2 genes and BBC3/MDM2/PERP. Integration of immune microenvironment and blood vessels enhances potential for novel therapies like immunotherapies and angiogenesis inhibitors. Our work may provide a new detection system and theoretical basis for ovarian cancer research and individual therapy.

Induction of Ferroptosis by an Amalgam of Extracellular Vesicles and Iron Oxide Nanoparticles Overcomes Cisplatin Resistance in Lung Cancer.

Extracellular vesicles (EVs) hold potential as effective carriers for drug delivery, providing a promising approach to resolving challenges in lung cancer treatment. Traditional treatments, such as with the chemotherapy drug cisplatin, encounter resistance in standard cell death pathways like apoptosis, prompting the need to explore alternative approaches. This study investigates the potential of iron oxide nanoparticles (IONP) and EVs to induce ferroptosis-a regulated cell death mechanism-in lung cancer cells. We formulated a novel EV and IONP-based system, namely 'ExoFeR', and observed that ExoFeR demonstrated efficient ferroptosis induction, evidenced by downregulation of ferroptosis markers (xCT/SLC7A11 and GPX4), increased intracellular and mitochondrial ferrous iron levels, and morphological changes in mitochondria. To enhance efficacy, tumor-targeting transferrin (TF)-conjugated ExoFeR (ExoFeR TF ) was developed. ExoFeR TF outperformed ExoFeR, exhibiting higher uptake and cell death in lung cancer cells. Mechanistically, nuclear factor erythroid 2-related factor 2 (Nrf2)-a key regulator of genes involved in glutathione biosynthesis, antioxidant responses, lipid metabolism, and iron metabolism-was found downregulated in the ferroptotic cells. Inhibition of Nrf2 intracellular translocation in ExoFeR TF -treated cells was also observed, emphasizing the role of Nrf2 in modulating ferroptosis-dependent cell death. Furthermore, ExoFeR and ExoFeR TF demonstrated the ability to sensitize chemo-resistant cancer cells, including cisplatin-resistant lung cancer patient-derived tumoroid organoids. In summary, ExoFeR TF presents a promising and multifaceted therapeutic approach for combating lung cancer by intrinsically inducing ferroptosis and sensitizing chemo-resistant cells.

High‐Load Core@Shell Nanocarriers with Irinotecan and 5‐Fluorouracil for Combination Chemotherapy in Colorectal Cancer

Colorectal cancer (CRC) is the third most common cancer type and second leading cause of cancer‐related deaths worldwide, requiring novel drug‐delivery concepts. ITC@ZrO(TocP)/ZrO(FdUMP) core@shell nanocarriers (designated ITC‐FdUMP‐NC) with the clinically relevant chemotherapeutics irinotecan (ITC) and fluoro‐2′‐deoxyuridine‐5′‐phosphate (FdUMP) (active derivative of 5′‐fluorouracil/5‐FU) are a new type of nanocarrier with high drug payload (22 wt% of lipophilic ITC: particle core; 10 wt% of hydrophilic FdUMP: particle shell). The nanocarriers are tested in different CRC cell lines, a normal cell line, and rectal cancer patient‐derived organoids (PDOs). Fluorescence‐labeled nanocarriers show efficient uptake by all CRC cells and allow to distinctly track the intracellular trafficking toward endolysosomal compartments. Although free chemotherapeutic drugs exhibit a greater potency in 2D cell cultures, ITC‐FdUMP‐NC demonstrate equivalent cytotoxic efficacies as the freely dissolved drugs in the more complex 3D rectal cancer PDOs. The sustained drug‐release profile of the nanocarriers contrasts favorably with conventional free drugs, potentially enhancing the therapeutic outcome in vivo. With a chemotherapeutic cocktail comparable to the clinically applied FOLFIRI (ITC + 5‐FU), the ITC‐FdUMP‐NC represent a novel type of nanocarrier with high anti‐tumor effect and high drug payload, offering a promising strategy to circumvent chemoresistance and to improve therapy efficacy in vivo with less side effects.

Dual Inhibition of SYK and EGFR Overcomes Chemoresistance by Inhibiting CDC6 and Blocking DNA Replication.

Targeting multiple signaling pathways has been proposed as a strategy to overcome resistance to single-pathway inhibition in cancer therapy. A previous study in epithelial ovarian cancers identified hyperactivity of spleen tyrosine kinase (SYK) and epidermal growth factor receptor (EGFR), which mutually phosphorylate and activate each other. Given the potential for pharmacologic inhibition of both kinases with clinically available agents, this study aimed to assess the antitumor efficacy of both pharmacologic and genetic SYK and EGFR co-inhibition using a multifaceted approach to analyze the global phosphoproteome and chemoresistant ovarian cancer cell lines, patient-derived organoids, and xenograft models. Dual inhibition of SYK and EGFR in chemoresistant ovarian cancer cells elicited a highly synergistic antitumor effect. Notably, the combined inhibition strategy activated the DNA damage response, induced G1 cell cycle arrest, and promoted apoptosis. The phosphoproteomic analysis revealed that perturbation of SYK and EGFR signaling induced a significant reduction in both phosphorylated and total protein levels of cell division cycle 6 (CDC6), a crucial initiator of DNA replication. Together, this study offers preclinical evidence supporting dual inhibition of SYK and EGFR as a promising treatment for chemoresistant ovarian cancer that disrupts DNA synthesis by impairing formation of the prereplication complex. These findings warrant further clinical investigation to explore the potential of this combination therapy in overcoming drug resistance and improving patient outcomes.