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Effects of N361 Glycosylation on Epidermal Growth Factor Receptor Biological Function

Epidermal growth factor receptor (EGFR) is a transmembrane tyrosine kinase that is frequently modified by glycosylation post-translationally. In cancer, EGFR amplifications and hotspot mutations such as L858R that promote proliferation have been detected in a significant fraction of non-small cell lung carcinomas and breast adenocarcinomas. Molecular dynamic simulations suggested that glycosylation at asparagine residue 361 (N361) promotes dimerization and ligand binding. We stably expressed glycosylation-deficient mutant EGFR N361A, with or without the oncogenic mutation L858R. Immunofluorescence and flow cytometry demonstrated that the mutants were each well expressed at the cell membrane. N361A decreased proliferation relative to wild-type EGFR as well as decreased sensitivity to ligands. Proximity ligation assays measuring co-localization of EGFR with its binding partner HER2 in cells revealed that N361A mutations increased co-localization. N361A, located near the binding interface for the EGFR inhibitor necitumumab, desensitized cells expressing the oncogenic EGFR L858R to antibody-based inhibition. These findings underline the critical relevance of post-translational modifications on oncogene function. SIGNIFICANCEEGFR transduces signals from growth factors into cell proliferation and is frequently hyperactivated in tumors. Glycosylation of EGFR at N361 regulates EGFR dimerization, growth factor stimulation of proliferative signaling, and susceptibility to targeted inhibition. Insights into EGFR glycosylation may expand therapeutic opportunities to benefit cancer patients.

cancer biology↗

Pervasive duplication of tumor suppressors in Afrotherians during the evolution of large bodies and reduced cancer risk

The risk of developing cancer is correlated with body size and lifespan within species. Between species, however, there is no correlation between cancer and either body size or lifespan, indicating that large, long-lived species have evolved enhanced cancer protection mechanisms. Elephants and their relatives (Proboscideans) are a particularly interesting lineage for the exploration of mechanisms underlying the evolution of augmented cancer resistance because they evolved large bodies recently within a clade of smaller bodied species (Afrotherians). Here, we explore the contribution of gene duplication to body size and cancer risk in Afrotherians. Unexpectedly, we found that tumor suppresxssor duplication was pervasive in Afrotherian genomes, rather than restricted to Proboscideans. Proboscideans, however, have duplicates in unique pathways that may underlie some aspects of their remarkable anti-cancer cell biology. These data suggest that duplication of tumor suppressor genes facilitated the evolution of increased body size by compensating for decreasing intrinsic cancer risk.

evolutionary biology↗

Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

BackgroundRNA modifications play central roles in cellular fate and differentiation. These features have placed the epitranscriptome in the forefront of developmental biology and cancer research. However, the machinery responsible for placing, removing and recognizing more than 170 RNA modifications remains largely uncharacterized and poorly annotated, and we currently lack integrative studies that identify which RNA modification-related proteins (RMPs) may be dysregulated in each cancer type. ResultsHere we have performed a comprehensive annotation and evolutionary analysis of human RMPs as well as an integrative analysis of their expression patterns across 32 tissues, 10 species and 13,358 paired tumor-normal human samples. Our analysis reveals an unanticipated heterogeneity of RMP expression patterns across mammalian tissues, with a vast proportion of duplicated enzymes displaying testis-specific expression, suggesting a key role for RNA modifications in sperm formation and possibly intergenerational inheritance. Moreover, through the analysis of paired tumor-normal human samples we uncover many RMPs that are dysregulated in various types of cancer, and whose expression levels are predictive of cancer progression. Surprisingly, we find that several commonly studied RNA modification enzymes such as METTL3 or FTO, are not significantly up-regulated in most cancer types, once the sample is properly scaled and normalized to the full dataset, whereas several less-characterized RMPs, such as LAGE3 and HENMT1, are dysregulated in many cancers. ConclusionsOur analyses reveal an unanticipated heterogeneity in the expression patterns of RMPs across mammalian tissues, and uncover a large proportion of dysregulated RMPs in multiple cancer types. We provide novel targets for future cancer research studies targeting the human epitranscriptome, as well as foundations to understand cell type-specific behaviours that are orchestrated by RNA modifications.

molecular biology↗

Sex-dependent pathways in hepatocarcinogenesis triggered by deregulated cholesterol synthesis

We uncover novel pathways of sex-dependent hepatocarcinogenesis due to chronic repression of cholesterol synthesis at the lanosterol 14-demethylase (CYP51) step. The response to metabolic insult determined by global liver transcriptome, qPCR and sterol metabolite analysis, together with blood parameters, revealed molecular signatures that differ between females and males. The data deduced from the mouse model are highly relevant for humans. The dampened hepatic metabolism presents a hallmark of carcinogenesis, particularly in ageing females, with increased plasma cholesterol and HDL, and a substantial negative enrichment of transcription factors from lipid metabolism, such as NR1B1, LXR, LRH1, and FXR. Importantly, the carcinogenic signalling pathways (ECM-receptor interaction and PI3K/Akt) are positively enriched, albeit with sex-dependent gene targets. The activated TGF-{beta}, mTOR, Wnt, and estrogen signalling worsen the phenotype, with NFATC1/2 being central to the female phenotype. This collectively leads to activated cell death and diminished basal metabolism. In conclusion, our data underline sex as an important biological variable of hepatocarcinogenesis. We uncover novel cholesterol-dependent transcription factors and signalling pathways as cancer markers in the ageing females. SignificanceChronic repression of the late part of cholesterol synthesis provokes hepatocarcinogenesis with sex-dependent modulation of signalling pathways and transcription factors. Aging females show specific metabolic signatures and a more aggrevated phenotype of metabolism-related HCC.

cancer biology↗

Prognostic and biological roles of Parkinson's disease genes in cancer

BackgroundIncreasing evidence suggests significant associations between Parkinson disease (PD) and cancer risks, with epidemiological studies revealing a complex relationship. PD patients exhibit lower risks of lung, genitourinary, and gastrointestinal cancers but higher risks of melanoma and brain cancers. Despite these observations, the underlying mechanisms between PD and cancers are poorly understood. ObjectivesWe aimed to identify molecular signatures that could provide insight into this complex connection by assessing the association of PD-related genes with patient survival and the cancer-specific co-expression networks they are involved in. MethodsTo explore this, we analyzed transcriptomic data from 18 cancer types in the TCGA dataset (n=6,088) and 16 cancer types in the DepMap dataset (n=682). We focused on seven genes causally implicated in PD (SNCA, PINK1, LRRK2, PRKN/PARK2, PARK7, GBA1, and ATP13A2) and conducted in silico analyses, to evaluate their associations with survival and correlation with genes, pathways and response to drugs in the context of cancer. ResultsOur findings revealed that the expression levels of the genes correlated with overall survival in a cancer-specific manner, often influenced by the TP53 genetic status. These genes were also associated with key cancer hallmarks such as genomic instability and cell proliferation. Additionally, novel associations were identified linking these genes to drug responses in a context-specific manner. ConclusionsThis study suggests that PD and cancer may be linked by biological pathways, sometimes associated with cancer hallmarks. These findings provide potential insights into druggable targets and the shared molecular mechanisms underlying PD and cancer.

bioinformatics↗

Spatial immune architecture and tumor lineage programs jointly shape clinical outcomes in advanced pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) exhibits extensive molecular and microenvironmental heterogeneity, yet how tumor lineage states interact with spatial immune organization in advanced disease remains poorly understood. Here, we performed multiplexed spatial proteomic profiling using tissue cyclic immunofluorescence (t-CyCIF) in 27 patients with advanced PDAC and integrated these analyses with spatial transcriptomic profiling of representative tumors. Tumors were classified into Classical, Hybrid, Basal, and Null epithelial states based on GATA6 and CK5 expression, revealing distinct immune architectures associated with clinical outcome. Classical and Hybrid tumors displayed immune-inflamed microenvironments enriched for lymphocytes, whereas Basal and Null tumors exhibited immune-excluded, macrophage-dominated landscapes characterized by increased M2 macrophages. Spatial transcriptomic analysis further revealed that Hybrid tumors were not homogeneous intermediate states but instead contained spatially segregated Hybrid_Classical and Hybrid_Basal regions with distinct transcriptional programs, immune niches, and cell-cell communication networks. Hybrid_Basal regions were associated with increased M2 macrophage enrichment and preferential activation of macrophage-derived SPP1-CD44 signaling, implicating localized immune-epithelial interactions in epithelial plasticity and lineage-state transitions. To quantify spatial immune organization, we developed a spatial immune score that captures the relative positioning of CD8 cytotoxic T cells with respect to CD4 helper T cells and CD163 M2 macrophages. Higher scores were associated with worse survival and provided stronger prognostic information than conventional immune cell abundance metrics. Integration of the spatial immune score with GATA6 expression achieved superior prognostic discrimination (AUC = 0.822) compared with either feature alone. Together, these findings demonstrate that tumor lineage state and spatial immune organization represent complementary dimensions of PDAC biology and highlight spatial tumor-immune interactions as determinants of clinical outcome in advanced pancreatic cancer. SummaryPancreatic ductal adenocarcinoma (PDAC) exhibits marked molecular and microenvironmental heterogeneity, yet how tumor lineage states interact with the spatial immune microenvironment in advanced disease remains poorly understood. Here, the authors apply multiplexed spatial proteomics and spatial transcriptomics to advanced PDAC and show that epithelial lineage states defined by GATA6 and CK5 are associated with distinct immune architectures and macrophage-enriched signaling niches. Hybrid tumors contain spatially segregated epithelial states with differential immune engagement and SPP1-CD44 signaling. The authors further identify a spatial immune score based on the relative positioning of CD8 T cells, CD4 T cells, and M2 macrophages that predicts patient survival. Integration of spatial immune organization with tumor lineage information improves prognostic stratification, highlighting the clinical relevance of spatial tumor-immune interactions in advanced PDAC.

Cancer Biology↗

Progesterone Receptor Expressing Basal Cells and Progesterone Receptor-Primed Progenitors Redefine the Mammary Epithelial Hierarchy

The central role of progesterone in breast biology and cancer is undeniable. Progesterone is a potent mitogen for mammary stem cell expansion and essential for mammopoiesis, yet only a fraction of the luminal epithelium is described to express the progesterone receptor (PR). Progestins in contraceptives and HRT regimens increases breast cancer risk, whilst progesterone inhibition reduces mammary tumorigenesis. Understanding PR within mammary epithelial dynamics is imperative, especially given mammary stem/progenitors cells are the cells-of-origin in breast cancer. Here, we show PR-primed progenitors contribute to both mammary lineages and expose a novel PR+ basal population, challenging current dogma in the field. PR lineage-tracing yields an unprecedented contribution to the luminal and basal compartments. We uncover an asymmetrically dividing PR-primed subpopulation, which has unique bipotent clonogenic capacity and forms TEB-like outgrowths upon transplantation. We enumerate PR+ basal cells and dissect their proteomic landscape, establishing PR+ basal cells as a discrete basal subset, disparate from luminal PR+ cells. Finally, we identify PR+ basal cells in multiple proteomes, scRNAseq datasets and localize PR in clinical breast specimens. This forms a new foundation for comprehending hormone receptor patterning in the breast, not only based on lineage-identity but also the progenitor-progeny hierarchy. Our study shifts the current paradigm of breast biology with implications for breast cancer treatment given the growing interest in anti-progestin based primary prevention strategies.

cell biology↗

EPHA2-dependent Ephrin-B1 signaling supports self-renewal ability and recurrence of oral cancer

Eph-Ephrin pathway that drives a bidirectional signaling regulates a plethora of biological activities with its varied level of complexity. While the canonical trans-interaction of the ligand and receptor on neighboring cells initiates forward signaling that brings about biological activities, their cis-interaction on the same cell attenuates the forward signaling, modulating the biological effects. Yet, non-canonical cis-interactions with heterotypic surface proteins and kinases regulate certain biological effects. In cancer, the canonical signaling is believed to be tumor suppressive, while the ligand-independent non-canonical signaling drives tumor progression and poor prognosis. Self-renewal ability of cancer cells is a major underlying cause of recurrence and poor prognosis of cancer. Using SILAC-based proteomics, we identified Ephrin-B1 signaling as a crucial regulator of oral cancer self-renewal. Though Ephrin-B1 is known to regulate normal stem cells, its role in cancer remains underexplored. Our biochemical analyses show that Ephrin-B1 binds to a nonconventional receptor EPHA2, which is known to regulate cancer stem cells (CSCs), though the mechanism is less explored. Contrary to the belief that the cis-interaction of receptors and ligands is a means to block functional signaling, our immunoprecipitation, FRET facilitated photoswitching analysis, proximity ligation assay, and in vitro kinase assay provide evidence for the Ephrin-B1-EPHA2 cis-interaction leading to the phosphorylation of EphrinB1 at Y324/329 and Y317. Extreme limiting dilution assay in vitro and in vivo confirmed that this cis-interaction promotes CSC enrichment. Substantiating our in vitro results, mouse orthotopic models showed that Ephrin-B1/EPHA2 interaction regulates prognosis. The clinical relevance of the finding was validated using a TCGA data set and immunohistochemical analysis of tissue microarray using samples from oral cancer patients with recurrence in comparison to patients, who showed disease-free survival. Given that Ephrin-B interacts with EphB for normal stem cell homeostasis, this unconventional EPHA2/Ephrin-B1 cis-interaction, specifically manifested in CSC niches, might serve as an attractive target for therapy, warranting further validation.

cancer biology↗

Comprehensive Live-cell Imaging Analysis of Cryptotanshinone and Synergistic Drug-Screening Effects in Various Human and Canine Cancer Cell Lines

ABSTRACTBackground Several studies have highlighted both the extreme anticancer effects of Cryptotanshinone (CT), a Stat3 crippling component from Salvia miltiorrhiza, as well as other STAT3 inhibitors to fight cancer.Methods Data presented in this experiment incorporates 2 years of in vitro studies applying a comprehensive live-cell drug-screening analysis of human and canine cancer cells exposed to CT at 20 μM concentration, as well as to other drug combinations. As previously observed in other studies, dogs are natural cancer models, given to their similarity in cancer genetics, epidemiology and disease progression compared to humans.Results Results obtained from several types of human and canine cancer cells exposed to CT and varied drug combinations, verified CT efficacy at combating cancer by achieving an extremely high percentage of apoptosis within 24 hours of drug exposure.Conclusions CT anticancer efficacy in various human and canine cancer cell lines denotes its ability to interact across different biological processes and cancer regulatory cell networks, driving inhibition of cancer cell survival.View Full Text

cancer biology↗

Eribulin normalizes pancreatic cancer-associated fibroblasts by simulating TGFβ inhibition

Less than 11% of pancreatic cancer patients survive 5-years post-diagnosis. The unique biology of pancreatic cancer includes a significant expansion of its desmoplastic tumor microenvironment, wherein cancer-associated fibroblasts (CAFs) and their self-produced extracellular matrix are key components. CAF functions are both tumor-supportive and tumor-suppressive, while normal fibroblastic cells are solely tumor-suppressive. Knowing that CAF-eliminating drugs are ineffective and can accelerate cancer progression, therapies that "normalize" CAF function are highly pursued. Eribulin is a well-tolerated anti-microtubule drug used to treat a plethora of neoplasias, including advanced/metastatic cancers. Importantly, eribulin can inhibit epithelial to mesenchymal transition via a mechanism akin to blocking pathways induced by transforming growth factor-beta (TGF{beta}). Notably, canonical TGF{beta} signaling also plays a pivotal role in CAF activation, which is necessary for the development and maintenance of desmoplasia. Hence, we hypothesized that eribulin could modulate, and perhaps "normalize" CAF function. To test this premise, we used a well-established in vivo-mimetic fibroblastic cell-derived extracellular matrix (CDM) system and gauged the effects of eribulin on human pancreatic CAFs and cancer cells. The pathophysiologic cell-culturing system was also used to query eribulin effects on CDM-regulated cancer cell survival and invasive spread. Results demonstrated that intact CDMs modestly restricted eribulin from obstructing cancer cell growth. Nonetheless, eribulin-treated CAFs generated CDMs that limited cancer cell survival under nutritional stress, similar to reported tumor-suppressive CDMs generated by TGF{beta}-deficient CAFs. Data from this study support the central proposed premise and suggest that eribulin could be used as a CAF-normalizing drug.

cancer biology↗

ERK1/2-dependent activation of FCHSD2 drives cancer cell-selective regulation of clathrin-mediated endocytosis

Clathrin-mediated endocytosis (CME) regulates the uptake of cell surface receptors, as well as their downstream signaling activities. We recently reported that signaling reciprocally regulates CME in cancer cells and that the crosstalk can contribute to cancer progression. To further explore the nature and extent of the crosstalk between signaling and CME in cancer cell biology, we analyzed a panel of oncogenic signaling kinase inhibitors for their effects on CME. Inhibition of several kinases selectively affected CME function in cancer cells. Among these, ERK1/2 inhibition selectively inhibited CME in cancer cells by decreasing the rate of CCP initiation. We identified an ERK1/2 substrate, the FCH/F-BAR and SH3 domain-containing protein, FCHSD2, as being essential for the ERK1/2-dependent effects on CME and CCP initiation. ERK1/2 phosphorylation activates FCHSD2 and regulates EGFR endocytic trafficking as well as downstream signaling activities. Loss of FCHSD2 activity in non-small-cell lung cancer cells leads to increased cell surface expression and altered signaling downstream of EGFR, resulting in enhanced cell proliferation and migration. The expression level of FCHSD2 is positively correlated with higher cancer patient survival rate, suggesting that FCHSD2 negatively affects cancer progression. These findings provide new insight into the mechanisms and consequences of the reciprocal regulation of signaling and CME in cancer cells.\n\nSignificanceClathrin-mediated endocytosis (CME) determines the internalization of receptors and their downstream signaling. We discovered that CME is differentially regulated by specific signaling kinases in cancer cells. In particular, ERK1/2-mediated phosphorylation of the FCH/F-BAR and double SH3 domains-containing protein 2 (FCHSD2) regulates CME, and the trafficking and signaling activities of EGF receptors. This reciprocal interaction negatively regulates cancer proliferation and migration. The expression level of FCHSD2 is positively correlated with higher cancer patient survival rates. This study identifies signaling pathways that impinge on the endocytic machinery and reveals a molecular nexus for crosstalk between intracellular signaling and CME. Cancer cells specifically adapt this crosstalk as a determinant for tumor progression, which has implications for novel therapeutics against cancers.

cell biology↗

Mapping the Cell-Membrane Proteome to the Cancer Hallmarks

The hallmarks of biological processes that underlie the development of cancer have been long recognized, yet, existing therapeutic treatments cannot prevent cancer from continuing to be one of the leading causes of death worldwide. This work was aimed at exploring the extent to which the cell-membrane proteins are implicated in triggering cancer hallmark processes, and assessing the ability to pinpoint novel therapeutic targets through a combined membrane proteome/cancer hallmark perspective. By using GO annotations, a database of human proteins associated broadly with ten cancer hallmarks was created. Cell-membrane cellular subfractions of SKBR3/HER2+ breast cancer cells used as a model system were analyzed by high resolution mass spectrometry, and high-quality proteins (FDR<3 %) identified by at least two unique peptides were mapped to the cancer hallmark database. Over 1100 experimentally detected cell-membrane or cell-membrane associated proteins, representing ~8 % of the human cell-membrane proteome, were mapped to the hallmark database. Representative membrane constituents such as receptors, CDs, adhesion and transport proteins were distributed over the entire genome and present in every hallmark category. Sustained proliferative signaling/cell cycle, adhesion/tissue invasion, and evasion of immune destruction emerged as prevalent hallmarks represented by the membrane proteins. Construction of protein-protein interaction networks uncovered a high level of connectivity between the hallmark members, with some receptor (EGFR, ERBB2, FGFR, MTOR, CSF1R), antigen (CD44), and adhesion (MUC1) proteins being implicated in most hallmark categories. An illustrative subset of 116 hallmark proteins that included 44 oncogenes, 28 tumor suppressors, and 38 approved drug targets was subjected to a more in-depth analysis. The existing drug targets were implicated mainly in signaling processes. Network centrality analysis revealed that nodes with high degree, rather than betweenness, represent a good resource for informing the selection of putative novel drug targets. Through heavy involvement in supporting cancer hallmark processes, we show that the functionally diverse and networked landscape of cancer cell-membrane proteins fosters unique opportunities for guiding the development of novel therapeutic interventions, including multi-agent, immuno-oncology and precision medicine applications.

cancer biology↗

In-Silico Characterization of TP53 Splice Mutations in Somatic and Germline Tumours

TP53 undergoes alternative splicing to produce multiple mRNA transcripts and protein isoforms, yet the effects of splice site mutations on isoform regulation, tumor-biology, and clinical outcome remain unclear. Analysis of 23,017 TP53 variants, including 18,562 somatic mutations (pan-cancer datasets - cBioPortal) and 4,455 germline variants (IARC database), identified recurrent donor (X32, X125, X224, X261, X331) and acceptor (X33, X126, X187, X225, X307, X332) splice site mutations. Germline variants showed nucleotide-specific transition biases. Most splice site mutations were associated with reduced TP53 mRNA expression; however, X32, X33, X126, and X261 maintained or elevated transcript levels. Splice mutations were associated with distinct transcriptional subsets marked by altered p53 target gene expression, elevated tumor mutation burden, increased genomic instability, and significantly reduced disease-free survival compared to missense mutations, with X126 and X331 being associated with poorest outcomes. These findings emphasize the clinical impact of TP53 splice site mutations and the need for functional classification.

cancer biology↗

tRF-3021a, a tRNA-Ala-TGC derived 3' fragment, promotes glioblastoma cell invasion, suppresses apoptosis, and is required for normal levels of protein synthesis

tRNA-derived fragments (tRFs) are a relatively recently discovered class of small RNAs implicated in gene-regulatory processes in diverse biological contexts but there have been very few reports of a clear phenotypic role of these small RNAs in cancer progression. To select tRFs that should receive priority for mechanistic experiments, we analyzed small RNA-seq data from The Cancer Genome Atlas (TCGA) and found that high expression of three 3' tRFs (tRF-3a), tRF-3009a, tRF-3021a or tRF-3030a, is significantly associated with poor overall survival in low-grade glioma (LGG). In glioblastoma cells, tRF-3009a, tRF-3021a and tRF-3030a enhance cell invasion and migration but tRF-3021a was uniquely required for cell proliferation and suppression of apoptosis. Interestingly, tRF-3021a knockdown decreases global protein synthesis prior to and independent of apoptosis in a number of cancer cell lines, both from and outside the glioblastoma lineage. RNA-seq reveals that the results cannot be explained by microRNA-like functions of tRF-3021a. These data indicate that tRF-3021a supports cancer cell survival and particularly protein synthesis while promoting cellular invasion and migration and suggests that strategies to downregulate this short RNA could be a potential therapeutic approach in cancers. ImplicationtRF-3021a promotes malignant cell phenotypes, sustains global protein synthesis and prevents spontaneous apoptosis, motivating efforts to evaluate it as a biomarker and therapeutic target.

cancer biology↗

Artificial intelligence-enabled automated analysis of transmission electron micrographs to evaluate chemotherapy impact on mitochondrial morphology in triple negative breast cancer

Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological specimens, offering new avenues to large-scale imaging experiments with subcellular resolution. Mitochondrial structure is of growing interest in cancer biology due to its crucial role in regulating the multi-faceted functions of mitochondria. We and others have established the crucial role of mitochondria in triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer with limited therapeutic options. Building upon our previous work demonstrating the functional role of mitochondrial structure dynamics in the metabolic adaptations and survival of chemotherapy-refractory TNBC cells, we sought to extend those findings to a large-scale analysis of transmission electron micrographs. Here we present a novel U-Net artificial intelligence (AI) model for automatic annotation and assessment of mitochondrial morphology and feature quantification. Our model is trained on 11,039 manually annotated mitochondria across 125 micrographs derived from a variety of orthotopic patient-derived xenograft (PDX) mouse model tumors and adherent cell cultures. The model achieves an F1 score of 0.85 on test micrographs at the pixel level. To validate the ability of our model to detect expected mitochondrial structural changes, we utilized micrographs from mouse primary skeletal muscle cells genetically modified to lack Dynamin-related protein 1 (Drp1). We subjected in vitro and in vivo TNBC models to conventional chemotherapy treatments commonly used for clinical management of TNBC, including doxorubicin, carboplatin, paclitaxel, and docetaxel (DTX). We found substantial within-sample heterogeneity of mitochondrial structure in both in vitro and in vivo TNBC models. In four of five PDX models, in vivo treatment with DTX elicited significant alteration in mitochondrial elongation and/or area. We went on to compare mammary tumors and matched lung metastases in a highly metastatic PDX model of TNBC, uncovering significant increase in mitochondrial elongation in metastatic lesions compared to their matched primary mammary tumor. The successful application of our AI model to capture mitochondrial structure marks a step forward in high-throughput analysis of mitochondrial structures, enhancing our understanding of how morphological changes may relate to chemotherapy efficacy and mechanism of action. Our large, manually curated electron micrograph dataset - now publicly available - serves as a unique resource for developing, benchmarking, and applying computational models, while further advancing investigations into mitochondrial morphology and its impact on breast cancer biology. This study provides proof of concept that mitochondrial structural remodeling is an additional layer of cellular reprogramming accompanying therapeutic resistance TNBC that merits further investigation.

cancer biology↗

Magnetospirillum magneticum as a living iron chelator induces transferrin receptor 1 upregulation in cancer cells

Interest has grown in harnessing biological agents for cancer treatment as dynamic vectors with enhanced tumor targeting. While bacterial traits such as proliferation in tumors, modulation of an immune response and local secretion of toxins have been well studied, less is known about bacteria as competitors for nutrients. Here, we investigated the use of a bacterial strain as a living iron chelator, competing for this nutrient vital to tumor growth and progression. We established an in vitro co-culture system consisting of the magnetotactic strain Magnetospirillum magneticum AMB-1 incubated under hypoxic conditions with human melanoma cells. Siderophore production by 108 AMB-1/mL in human transferrin (Tf)-supplemented media was quantified and found to be equivalent to a concentration of 3.78 M {+/-} 0.117 M deferoxamine, a potent drug used in iron chelation therapy. Our experiments revealed an increased expression of transferrin receptor 1 (TfR1) and a significant decrease of cancer cell viability, indicating the bacterias ability to alter iron homeostasis in human melanoma cells. Our results show the potential of a bacterial strain acting as a self-replicating iron-chelating agent, which could serve as an additional mechanism reinforcing current bacterial cancer therapies.

cell biology↗

Natural abundance isotope ratios to differentiate sources of carbon used during tumor growth in vivo

BackgroundRadioactive or stable isotopic labeling of metabolites is a strategy that is routinely used to map the cellular fate of a selected labeled metabolite after it is added to cell culture or to the circulation of an animal. However, the transformation of the labeled metabolite by cellular metabolism within organs complicates the use of this experimental strategy to quantify and understand metabolite transfer between organs. These methods are also technically demanding, expensive and potentially toxic. To allow quantification of the bulk movement of metabolites between organs, we have developed a novel application of stable isotope ratio mass spectrometry (SIRMS). ResultsWe exploit natural differences in 13C/12C ratios of plant nutrients for a low-cost and non-toxic carbon labeling, allowing a measurement of bulk carbon transfer between organs in vivo. SIRMS measurements were found to be sufficiently sensitive to measure organs from individual Drosophila melanogaster larvae, giving robust measurements down to 2.5 {micro}g per sample. We apply the method to determine if carbon incorporated into a growing solid tumor is ultimately derived from food or host tissues. ConclusionMeasuring tumor growth in a D.melanogaster larvae tumor model reveals that these tumors derive a majority of carbon from host sources. We believe the low cost and non-toxic nature of this methodology gives it broad applicability to study carbon flows between organs also in other animals and for a range of other biological questions.

cancer biology↗

High-density sampling reveals volume growth in human tumours

In growing cell populations such tumours, mutations can serve as markers that allow tracking the past evolution from current samples. The genomic analyses of bulk samples and samples from multiple regions have shed light on the evolutionary forces acting on tumours. However, little is known empirically on the spatio-temporal dynamics of tumour evolution. Here, we leverage published data from resected hepatocellular carcinomas, each with several hundred samples taken in two and three dimensions. Using spatial metrics of evolution, we find that tumour cells grow predominantly uniformly within the tumour volume instead of at the surface. We determine how mutations and cells are dispersed throughout the tumour and how cell death contributes to the overall tumour growth. Our methods shed light on the early evolution of tumours in vivo and can be applied to high-resolution data in the emerging field of spatial biology.

cancer biology↗