The role of collagen in cancer: from bench to bedside

Sorafenib-associated translation reprogramming in hepatocellular carcinoma cells

Sorafenib (Sfb) is a multikinase inhibitor regularly used for the management of patients with advanced hepatocellular carcinoma (HCC) that has been shown to increase very modestly life expectancy. We have shown that Sfb inhibits protein synthesis at the level of initiation in cancer cells. However, the global snapshot of mRNA translation following Sorafenib-treatment has not been explored so far. In this study, we performed a genome-wide polysome profiling analysis in Sfb-treated HCC cells and demonstrated that, despite global translation repression, a set of different genes remain efficiently translated or are even translationally induced. We reveal that, in response to Sfb inhibition, translation is tuned, which strongly correlates with the presence of established mRNA cis-acting elements and the corresponding protein factors that recognize them, including DAP5 and ARE-binding proteins. At the level of biological processes, Sfb leads to the translational down-regulation of key cellular activities, such as those related to the mitochondrial metabolism and the collagen synthesis, and the translational up-regulation of pathways associated with the adaptation and survival of cells in response to the Sfb-induced stress. Our findings indicate that Sfb induces an adaptive reprogramming of translation and provides valuable information that can facilitate the analysis of other drugs for the development of novel combined treatment strategies based on Sfb therapy.

Altered expression of collagen gene family members and its epigenetic background in equine Sarcoids

Alterations in the genes involved in the creation of the extracellular matrix (ECM) were observed in our earlier transcriptome studies of sarcoids and their cell culture model. For a complete characterization of the underlying molecular pathways, it is imperative to comprehend the involvement of ECM modifications in the oncogenic transformation of sarcoid fibroblasts. Thus, the aim of this investigation was to describe the expression patterns of a set of genes that are essential for the rearrangements of the extracellular matrix, namely collagen genes, and elucidate possible mechanisms underlying the observed disruptions. To this end, we applied the RT-qPCR method on BPV-negative skin samples and sarcoid samples (n = 6 and 7; respectively) to perform relative quantification of the expression level of eight genes belonging to the collagen family and carried out an integrative analysis of the obtained data with previously characterized epigenetic signatures. The results showed aberrations in the level of chosen collagen genes in the sarcoids compared to the control, manifesting in their elevated levels in the tumor samples (p-value≤0.05). The upregulation of Col1A2, Col11A1, Col6A3, Col5A2, Col4A1, Col6A6, Col5A1, Col6A2 genes was detected in sarcoid samples. The identified changes were statistically significant (p-value≤0.05) and ranged from 1.43 (Col6A2) to 1.88 (Col6A3). Further investigation into the potential involvement of epigenetic mechanisms in the regulation of collagen gene levels in sarcoids revealed compelling evidence of DNA methylation and microRNAs playing significant roles. The findings suggest a complex interplay between gene expression, epigenetic regulation, and the dysregulation of the ECM in sarcoid pathogenesis.

The JAK1/STAT3 pathway mediates the effects of SERPINH1 on glioma EMT

Glioma is marked by swift cell proliferation, extensive invasion and poor outcomes. Serine protease inhibitor H1 (SERPINH1) encoding heat shock protein 47, a collagen-specific molecular chaperone, plays a role in a number of cancers. However, its definite role in glioma remains unclear. The aim of the present study was to investigate the role of SERPINH1 in glioma progression, especially its impact on cell proliferation, migration, invasion and epithelial-mesenchymal transition (EMT). The glioma cell lines LN229, T98, U251 and U87MG were transfected with lentivirus for stable knockdown or overexpression of SERPINH1. Assays assessing cell proliferation, migration and invasion were conducted to investigate the role of SERPINH1 in these processes. Bioinformatic analysis was conducted using The Cancer Genome Atlas and the Chinese Glioma Genome Atlas databases to identify potential molecular pathways associated with SERPINH1. Western blotting (WB) was employed to examine the expression of significant proteins in the JAK1/STAT3 signaling pathway and EMT markers. Nude mice were used for in vivo experiments to evaluate tumor growth and changes related to EMT. Overexpression of SERPINH1 notably increased glioma cell proliferation, migration and invasion, whereas knockdown suppressed these activities. Bioinformatic analyses revealed that SERPINH1 is closely associated with the JAK1/STAT3 signaling pathway and EMT-related genes. WB results confirmed that SERPINH1 regulates the activation of JAK1/STAT3 and influences the levels of EMT markers such as N- and E-cadherin. The JAK1/STAT3 agonist RO8191 partially rescued glioma cell behavior in the SERPINH1 knockdown group, while the inhibitor STATTIC partially weakened the enhanced effects in the SERPINH1 overexpression group. In vivo, SERPINH1 overexpression accelerated tumor growth and EMT progression, while knockdown resulted in a reduction in tumor size and the expression of EMT markers. SERPINH1 is essential for glioma progression, enhancing cell proliferation, migration, invasion and EMT by activating the JAK1/STAT3 signaling pathway. These results indicate that targeting SERPINH1 could provide a promising new approach for glioma therapy.

Phytochemical investigation of Jie-Geng-Tang and regulatory role in the TNF-α pathway in mitigating pulmonary fibrosis using UPLC-Q-TOF/MS

Jie-Geng-Tang (JGT), composed of Platycodon grandiflorus (Jacq.) A. DC and Glycyrrhiza uralensis Fisch, is widely used in traditional Chinese medicine for its potential effects in preventing pulmonary fibrosis (PF). This study systematically explored the effects of JGT's water and 70% EtOH extracts in bleomycin (BLM)-induced PF models. In vitro, the 70% EtOH extract significantly reversed BLM-induced reductions in cell viability and apoptosis, whereas the water extract had limited impact. In vivo, the EtOH extract markedly reduced fibrosis markers, such as α-SMA and collagen-I, alleviating lung tissue damage and collagen deposition. UPLC-Q-TOF/MS analysis revealed that the EtOH extract contained a higher abundance of flavonoids compared to the water extract. Through network pharmacology analysis of the EtOH extract, four key flavonoids-apigenin, kaempferol, kaempferol 3-glucuronoside, and quercetin-were identified as crucial compounds. These flavonoids were found to reverse BLM-induced cell viability loss, with apigenin showing the most pronounced effect by modulating the TNF-α signaling pathway and inhibiting caspase-3 activation. Apigenin, as a primary active component derived from JGT, holds significant potential as a preventive agent against pulmonary fibrosis.

Imaging 3D cell cultures with optical microscopy

Three-dimensional (3D) cell cultures have gained popularity in recent years due to their ability to represent complex tissues or organs more faithfully than conventional two-dimensional (2D) cell culture. This article reviews the application of both 2D and 3D microscopy approaches for monitoring and studying 3D cell cultures. We first summarize the most popular optical microscopy methods that have been used with 3D cell cultures. We then discuss the general advantages and disadvantages of various microscopy techniques for several broad categories of investigation involving 3D cell cultures. Finally, we provide perspectives on key areas of technical need in which there are clear opportunities for innovation. Our goal is to guide microscope engineers and biomedical end users toward optimal imaging methods for specific investigational scenarios and to identify use cases in which additional innovations in high-resolution imaging could be helpful.

Predicting the risk grades of thymic epithelial tumours using T1 mapping and diffusion-weighted MRI

OBJECTIVE

To explore the value of native T1 and apparent diffusion coefficients (ADCs) for predicting subtypes and stages of thymic epithelial tumours (TETs).

METHODS

Sixty-seven patients with TETs confirmed by pathological analysis were retrospectively enrolled. The mean native T1 (T1mean), global native T1 (ADCtotal), relative minimum ADC (ADCmin), and global ADC (ADCtotal) values of the tumour were measured and compared for differences among low-risk thymoma (LRT), high-risk thymoma (HRT), and thymic carcinoma (TC). The differentiating efficacy was determined using receiver operating characteristic curve analysis.

RESULTS

The native T1 values in thymoma or early stage were significantly higher than those in TC (P < 0.05/3) or advanced stage of TETs (P < 0.01). The ADC values in LRT or early stage were significantly higher than those in TC (P < 0.05/3) or advanced stage of TETs (P < 0.001). For differentiating the thymoma or HRT from TC, a combination of native T1 and ADC achieved the highest efficacy with an area under the curve (AUC) of 0.891 and 0.851, respectively. For determining the TET stage, ADCmin achieved a relatively high diagnostic efficacy with an AUC of 0.933, and a combination of native T1 and ADC obtained an AUC of 0.876.

CONCLUSION

The combination of native T1 and ADC values could be helpful in clinical practice regarding evaluating TETs before treatment.

ADVANCES IN KNOWLEDGE

The combination of T1 mapping and diffusion-weighted imaging (DWI) can improve diagnostic accuracy and help guide clinical practice in providing the best individual treatment for TET patients.

Contrastive Representation Learning for Single Cell Phenotyping in Whole Slide Imaging of Enrichment-free Liquid Biopsy

Tumor-associated cells derived from a liquid biopsy are promising biomarkers for cancer detection, diagnosis, prognosis, and monitoring. However, their rarity, heterogeneity and plasticity make precise identification and biological characterization challenging for clinical utility. Enrichment-free approaches using whole slide imaging of all circulating cells offer a comprehensive and unbiased strategy for capturing the full spectrum of tumor-associated cell phenotypes. However, current analysis methods often depend on engineered features and manual expert review, making them sensitive to technical variations and subjective biases. These limitations highlight the need for a better feature representation to improve performance and reproducibility of applications in large-scale patient cohort analyses. In this study, we present a deep contrastive learning framework for learning features of all circulating cells, enabling robust identification and stratification of single cells in whole slide immunofluorescence microscopy images. We demonstrate performance of learned features in classification of diverse cell phenotypes in the liquid biopsy, achieving an accuracy of 92.64%. We further demonstrate that learned features improve performance in downstream applications such as outlier detection and clustering. Lastly, our feature representation enables automated identification and enumeration of distinct rare cell phenotypes, achieving average F1-score of 0.93 across cell lines mimicking circulating tumor cells and endothelial cells in contrived samples and average F1-score of 0.858 across CTC phenotypes in clinical samples. This workflow has significant implications for scalable analysis of tumor-associated cellular biomarkers in clinical prognosis and personalized treatment strategies.

Collagen architecture in triple negative breast cancer

This study evaluated collagen properties in TNBC samples collected from different racial groups to determine the presence of variance in matrix architecture. African American (AA) breast cancer patients have a significantly higher mortality rate and nearly a three-fold increased prevalence of triple negative breast cancer (TNBC) when compared to Caucasian (C) patients. The extracellular matrix region surrounding tumors contains abundant collagen fibers, and these fibers undergo remodeling throughout cancer progression, promote metastasis, and impede treatment response. High mammographic density, commonly known as dense breast tissue, is hypothesized to be more prevalent in AA women and characterized by increased collagen deposition and associated with more aggressive cancers. The aim of this research was to investigate fibrillar collagen architecture in TNBC samples from AA and C patients using two-photon microscopy with second harmonic generation (SHG), an intrinsic optical signal produced by fibrillar collagen. Twenty tissue regions per tumor sample were randomly selected for SHG microscopy, and image processing was conducted using the Fiji macro TWOMBLI to quantify mesoscopic fibrillar morphological properties and nanoscopic fibrillar properties with the Forward-Backward SHG ratio. Compared to the images from C tumor samples, those from AA samples exhibited a significant increase in parameters including fiber area, total length, and number of endpoints and branchpoints, but had decreased lacunarity. Collagen microstructure, including fibril arrangement and packing density, did not significantly differ between the groups. These results illustrate that the TNBC samples analyzed from AA patients may have macrostructural collagen characteristics associated with aggressive phenotype tumor formation.

Glycosylation in cancer: mechanisms, diagnostic markers, and therapeutic applications

Glycosylation, a key post-translational modification, plays a pivotal role in cancer progression by influencing critical processes such as protein folding, immune modulation, and intercellular signaling. Altered glycosylation patterns are increasingly recognized as fundamental drivers of tumorigenesis, contributing to key cancer hallmarks like enhanced tumor migration, metastasis, and immune evasion. These aberrant glycosylation signatures not only offer insights into cancer biology but also serve as valuable diagnostic markers and potential therapeutic targets across a range of malignancies. This review explores the mechanisms underlying glycosylation alterations in cancer. We discuss the molecular basis of these changes, including genetic mutations, epigenetic regulation, and oncogene-driven shifts in glycosylation pathways. Additionally, we highlight recent advancements in glycomics research, with a focus on how these alterations influence tumor progression, angiogenesis, and the tumor microenvironment. Furthermore, the review considers the clinical implications of glycosylation changes, including their role in resistance to anti-cancer therapies and their potential as biomarkers for personalized treatment strategies. By bridging fundamental glycosylation research with clinical applications, this review underscores the promise of glycosylation as both a diagnostic tool and a therapeutic target in oncology, offering new avenues for improved patient stratification and precision medicine.

The Expression and Molecular Roles of MAMDC2 in MSS Colorectal Cancer with a High Tumor Stromal Ratio

Background: Colorectal cancer (CRC) heterogeneity is strongly influenced by molecular subtypes and tumor stroma interactions. The meprin/A5/PTPmu (MAM) domain, a conserved structural motif in transmembrane proteins, remains undercharacterized in CRC pathogenesis. Methods: We analyzed RNA-seq data from TCGA-COAD to evaluate MAM domain gene expression. Immunohistochemistry and Western blotting were conducted to validate the results of the database analysis. Results: Bioinformatics analysis revealed that MAM domain-containing protein 2 (MAMDC2) was enriched in mesenchymal subtype 4 (CMS4) colorectal cancer (p < 0.001). IHC confirmed MAMDC2 overexpression in MSS colorectal cancer with a high tumor stroma ratio (TSR) and peritoneal metastatic lesions (p < 0.01). WB and real-time PCR analyses confirmed that MAMDC2 has a role in regulating epithelial-mesenchymal transition (EMT) development in CRC. Importantly, we identified that cancer cell-derived MAMDC2 promotes MYLK expression in cancer-associated fibroblasts (CAFs) through paracrine signaling. Conclusions: Our findings suggest MAMDC2 may function as a stromal-associated regulator in MSS colorectal cancer with a high tumor stromal ratio (TSR).

Spatial Proteomics by Parallel Accumulation-Serial Fragmentation Supported MALDI MS/MS Imaging: A First Glance Into Multiplexed and Spatial Peptide Identification

RATIONALE

In spatial proteomics, matrix-assisted laser desorption/ionization (MALDI) imaging enables rapid and cost-effective peptide measurements. Yet, in situ peptide identification remains challenging. Therefore, this study aims to integrate the trapped ion mobility spectrometry (TIMS)-based parallel accumulation-serial fragmentation (PASEF) into MALDI imaging of tryptic peptides to enable multiplexed MS/MS imaging.

METHODS

An initial MALDI TIMS MS1 survey measurement was performed, followed by a manual generation of a precursor list containing mass over charge values and ion mobility windows. Inside the dual TIMS system, submitted precursors were trapped, separately eluted by their ion mobility and analyzed in a quadrupole time-of-flight device, thereby enabling multiplexed MALDI MS/MS imaging. Finally, precursors were identified by peptide to spectrum matching.

RESULTS

This study presents the first multiplexed MALDI TIMS MS/MS imaging (iprm-PASEF) of tryptic peptides. Its applicability was showcased on two histomorphologically distinct tissue specimens in a four-plex and five-plex setup. Precursors were successfully identified by the search engine MASCOT in one single MALDI imaging experiment for each respective tissue. Peptide identifications were corroborated by liquid-chromatography tandem mass spectrometry experiments and fragment colocalization analyses.

CONCLUSIONS

In this study, we present a novel pipeline, based on iprm-PASEF, that allows the multiplexed and spatial identification of tryptic peptides in MALDI imaging. Hence, it marks a first step towards the integration of MALDI imaging into the emerging field of spatial proteomics.

Inhibition of autotaxin activity with IOA-289 decreases fibrosis in mouse E0771 breast tumors

Tumor-associated fibrosis contributes to an immunosuppressive microenvironment that hinders effective anti-tumor immune responses. This study investigates the potential of IOA-289, a novel autotaxin (ATX) inhibitor, which blocks lysophosphatidate (LPA) production and signaling, in modulating fibrosis in breast tumors. Bioinformatic analysis of human breast tumors revealed a strong correlation between levels of LPA1,-4 receptors and extracellular matrix (ECM) genes. Interaction of ECM molecules and integrin β1/CD44 between myofibroblasts and other cell types had the highest contribution to cell-cell communication. We showed that LPA induced α-smooth muscle actin mRNA in mouse mammary fibroblasts and increased expressions of collagen type-I α1 chain (COL1A1) and lamininγ1. IOA-289 decreased the expressions of COL1A1, fibronectin-1, and transforming growth factor β1 (TGFβ1) in E0771 breast tumors in mice. Masson's trichrome staining revealed a marked decrease in collagen deposition within breast tumors of IOA-289-treated mice. Decreased tumor fibrosis aligns with previous findings that IOA-289 enhanced the infiltration of CD8+ cytotoxic T cells and decreased fibrotic factors including leukemia inhibitory factor and transforming growth factor-beta1 in tumors. We also demonstrated that E0771 cells express negligible ATX and LPA receptors. Therefore, ATX inhibition did not affect cancer cells directly in our model. These results underscore the potential of ATX inhibitors in reprogramming the tumor microenvironment to favor anti-tumor immunity and attenuate fibrosis. ATX inhibitors are in clinical trials for treating idiopathic pulmonary fibrosis and pancreatic cancer. Our results support the development of ATX inhibitors as a strategy for improving the treatment of breast cancer and other diseases involving fibrosis.

A floating collagen matrix triggers ring formation and stemness characteristics in human colorectal cancer organoids

Intestinal organoids reflect the 3D structure and function of their original tissues. Organoid are typically cultured in Matrigel, an extracellular matrix (ECM) mimicking the basement membrane, which is suitable for epithelial cells but does not accurately mimic the tumour microenvironment of colorectal cancer (CRC). The ECM and particularly collagen type I is crucial for CRC progression and invasiveness. Given that efforts to examine CRC organoid invasion in a more physiologically relevant ECM have been limited, we used a floating collagen type I matrix (FC) to study organoid invasion in three patient-derived CRC organoid lines. In FC gel, organoids contract, align, and fuse into macroscopic ring structures, initiating minor branch formation and invasion fronts, phenomena unique for the collagen ECM and otherwise not observed in Matrigel-grown CRC organoids. In contrast to Matrigel, FC organoids showed basal extrusion with improper actin localization, but without change in the organoid polarity. Moreover, small clusters of vital invading cells were observed. Gene expression analysis revealed that the organoids cultured in a FC matrix presented more epithelial and stem cell-like characteristics. This novel technique of cultivating CRC organoids in a FC matrix represents an in-vitro model for studying cancer organization and matrix remodelling with increased organoid stemness potential.

Biomarkers for the detection of circulating tumor cells

Circulating tumor cells (CTCs) have emerged as a key biomarker in cancer detection and prognosis, and their molecular profiling is gaining importance in precision oncology. Liquid biopsies, which allow the extraction of CTCs, circulating tumor DNA (ctDNA) or cell-free DNA (cfDNA), have measurable advantages over traditional tissue biopsies, especially when molecular material is difficult to obtain. However, this method is not without limitations. Difficulties in differentiating between primary and metastatic lesions, uncertain predictive values and the complexity of the biomarkers used can prove challenging. Recently, high cell heterogeneity has been identified as the main obstacle to achieving high diagnostic accuracy. Because not all cells undergo epithelial-mesenchymal transition (EMT) at the same time, there is a large population of hybrid CTCs that express both epithelial and mesenchymal markers. Since traditional diagnostic tools primarily detect epithelial markers, they are often unable to detect cells with a hybrid phenotype; therefore, additional markers may be required to avoid false negatives. In this review, we summarize recent reports on emerging CTCs markers, with particular emphasis on their use in cancer diagnosis. Most of them, including vimentin, TWIST1, SNAI1, ZEB1, cadherins, CD44, TGM2, PD-L1 and GATA, hold promise for the detection of CTCs, but are also implicated in cancer progression, metastasis, and therapeutic resistance. Therefore, understanding the nature and drivers of epithelial-mesenchymal plasticity (EMP) is critical to advancing our knowledge in this field.

Type IV collagen, carcinoembryonic antigen, osteopontin, and hepatocyte growth factor as biomarkers for liver metastatic colorectal cancer

IntroductionDiagnosis and monitoring of metastatic colorectal cancer (mCRC) depend on diagnostic imaging. Circulating carcinoembryonic antigen (CEA) can be analyzed but no optimal, non-invasive biomarker exists. Circulating collagen IV (COL IV) is a promising biomarker in patients with colorectal liver metastases (CLM). This study aimed to evaluate COL IV and other cancer-related and stroma-derived proteins as biomarkers for mCRC.Materials & methodsPlasma COL IV and 10 other proteins were analyzed with ELISA and Luminex multiplex assays.ResultsmCRC patients have elevated levels of circulating COL IV, CEA, interleukin-8 (IL-8), hepatocyte growth factor (HGF), cytokeratin-19 fragments (CYFRA 21-1), osteopontin (OPN), and migration inhibitory factor (MIF) compared to primary CRC (pCRC) patients. COL IV is elevated in mCRC patients compared to healthy individuals. Levels of COL IV, CEA, OPN, CYFRA 21-1, IL-8, and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) were dependent on the metastatic site. OPN, CEA, and HGF are very good at discriminating between mCRC patients and pCRC controls. COL IV is very good at distinguishing between mCRC patients and healthy controls. The combination of OPN + CEA is superior at detecting mCRC than CEA alone. High HGF and COL IV levels correlate to poor prognosis.ConclusionOPN, CEA, and HGF are potential biomarkers for mCRC. COL IV is a potential biomarker for CLM. The combination of OPN with CEA is superior to CEA alone in detecting mCRC. Levels of circulating proteins depend on metastatic localization, implying that a combination of markers is better than single markers in detecting mCRC disease. High levels of COL IV and HGF have potential prognostic value.

Emerging SERS and TERS MoS2 platforms for the characterization of plasma-derived extracellular vesicles

Extracellular vesicles (EVs) play a crucial role in intercellular communication processes. In addition, their biomolecular cargoes such as lipids, proteins, and nucleic acids are useful for identifying potential biomarkers related to different stages of cancer disease. However, the small size and heterogenicity of tumor-related EVs represent a major challenge in properly identifying the content of EVs' cargoes with common characterization protocols. To address these issues, surface-enhanced Raman spectroscopy (SERS) and tip-enhanced Raman spectroscopy (TERS) are powerful alternatives to assign the vibrational fingerprints to the biomolecules contained in cancer EVs, providing high specificity and spatial resolution. Transition metal dichalcogenides are particularly interesting as SERS and TERS substrates due to the high sensitivity of their 2D surface through coulombic and van der Waals interactions when in contact with an analyte or small object such as the charged membranes of EVs. These interactions induce subtle changes in the work function of the flakes which can be measured through drastic changes of optical processes. We investigate the use of MoS2 flakes synthesized by atmospheric pressure chemical vapor deposition as a potential label-free SERS and TERS platform for the identification of plasma EVs. To exemplify this technology, we isolated plasma EV samples from donors with early-stage [FIGO (I/II)] with high-grade serous carcinoma (HGSC) by size exclusion chromatography (SEC). Both surface- and tip-enhanced measurements were conducted individually, enabling the identification of a series of markers from ovarian cancer donors, highlighting the complementarity of SERS and TERS measurements.

Tumor-stromal opening via S. typhimurium VNP20009 administration for complete inhibition of refractory tumor growth with liposomal anticancer drugs

Many clinical tumors exhibit a vascular endothelium covered by mural cells and stroma with abundant collagen fibers, which greatly inhibit the penetration of nanoparticle drug delivery systems (DDS) formulations deep into the tumors. We previously found that Salmonella typhimurium VNP20009 attracting attention as live bacterial therapeutics, which is a novel pharmaceutical modality for cancer treatment, can grow within deep tumors with abundant stroma and tight vasculature. Because this finding interestingly indicates that VNP20009 administration disrupts vascular and stromal structures even in refractory tumors, we investigated the possibility that VNP20009 administration improves DDS formulations migrations into tumors in this study. VNP20009 co-administration drastically improved the translocation and diffusion of liposomes deep into the tumors, particularly in stroma-rich xenografted tumors, indicating its tumor stromal opening ability. Furthermore, this approach can completely inhibit tumors in various refractory tumor models, including pancreatic cancers, using liposomal doxorubicin (Doxil®) and liposomal irinotecan (Onivyde®). Notably, this remarkable anticancer effect is not simply attributed to the therapeutic effects of liposomal anticancer drugs and VNP20009, but it involves an additional effect, improving the intratumor pharmacokinetics of liposomal anticancer drugs following VNP20009 co-administration. The unique tumor stromal opening ability of VNP20009 demonstrated in this study is a promising strategy for resolving the major challenges faced by tumor DDS.

Artesunate Inhibits Metastatic Potential in Cisplatin-Resistant Bladder Cancer Cells by Altering Integrins

The survival of patients with locally advanced and metastatic bladder cancer (BCa) is persistently low. Hence, new treatment options are urgently needed. Artesunate (ART) a derivative of artemisinin, used in Traditional Chinese Medicine, shows anti-tumor activity extending over a broad spectrum of human cancers. As we have previously shown, ART inhibits growth in cisplatin-sensitive (parental) and cisplatin-resistant BCa cells. However, how ART acts on the metastatic potential of BCa remained unclear. To clarify, we applied ART to parental and cisplatin-resistant RT4, RT112, T24, and TCCSup BCa cell lines. We examined tumor cell adhesion to vascular endothelium and immobilized collagen and evaluated chemotactic activity, migration, and invasive activity of the BCa cells. Adhesion receptors, integrin α and β subtypes, integrin-linked kinase (ILK), and focal adhesion kinase (FAK) were investigated. The functional relevance of integrin expression altered by ART was determined by blocking studies. ART significantly reduced tumor cell adhesion to vascular endothelium and immobilized collagen in parental as well as in cisplatin-resistant BCa cells. Depending on cell type, ART suppressed tumor cell motility and diminished integrin expression (surface and total). Functional blocking of integrins altered by ART reduced cell adhesion and invasion of the BCa cells. Thus, the metastatic potential of parental and cisplatin-resistant BCa cells was significantly inhibited by ART, making it a promising treatment option for patients with advanced or therapy-resistant BCa.

Extracellular matrix stiffness: mechanisms in tumor progression and therapeutic potential in cancer

Tumor microenvironment (TME) is a complex ecosystem composed of both cellular and non-cellular components that surround tumor tissue. The extracellular matrix (ECM) is a key component of the TME, performing multiple essential functions by providing mechanical support, shaping the TME, regulating metabolism and signaling, and modulating immune responses, all of which profoundly influence cell behavior. The quantity and cross-linking status of stromal components are primary determinants of tissue stiffness. During tumor development, ECM stiffness not only serves as a barrier to hinder drug delivery but also promotes cancer progression by inducing mechanical stimulation that activates cell membrane receptors and mechanical sensors. Thus, a comprehensive understanding of how ECM stiffness regulates tumor progression is crucial for identifying potential therapeutic targets for cancer. This review examines the effects of ECM stiffness on tumor progression, encompassing proliferation, migration, metastasis, drug resistance, angiogenesis, epithelial-mesenchymal transition (EMT), immune evasion, stemness, metabolic reprogramming, and genomic stability. Finally, we explore therapeutic strategies that target ECM stiffness and their implications for tumor progression.

Microenvironment matters: insights from the FOSTER consortium on microenvironment-driven approaches to osteosarcoma therapy

Osteosarcoma (OS), a prevalent malignant bone tumor, has seen limited progress in treatment efficacy and patient outcomes over decades. Recent insights into the tumor microenvironment (TME) have revealed its crucial role in tumor progression and therapeutic resistance, particularly in OS. This review offers a comprehensive exploration of the OS microenvironment, meticulously dissecting its crucial components: the mesenchymal stromal TME, the immune microenvironment, hypoxia-induced adaptations, and the impact of the physical microenvironment. By demonstrating how these elements collectively drive tumor proliferation, immune evasion, and invasion, this review explores the intricate molecular and cellular dynamics at play. Furthermore, innovative approaches targeting the OS microenvironment, such as immunotherapies, are presented. This review highlights the importance of the TME in OS progression and its potential as a source of novel therapeutic strategies, offering new hope for improved patient outcomes.

Combating cancer immunotherapy resistance: a nano-medicine perspective

Cancer immunotherapy offers renewed hope for treating this disease. However, cancer cells possess inherent mechanisms that enable them to circumvent each stage of the immune cycle, thereby evading anti-cancer immunity and leading to resistance. Various functionalized nanoparticles (NPs), modified with cationic lipids, pH-sensitive compounds, or photosensitizers, exhibit unique physicochemical properties that facilitate the targeted delivery of therapeutic agents to cancer cells or the tumor microenvironment (TME). These NPs are engineered to modify immune activity. The crucial signal transduction pathways and mechanisms by which functionalized NPs counteract immunotherapy resistance are outlined, including enhancing antigen presentation, boosting the activation and infiltration of tumor-specific immune cells, inducing immunogenic cell death, and counteracting immunosuppressive conditions in the TME. Additionally, this review summarizes current clinical trials involving NP-based immunotherapy. Ultimately, it highlights the potential of nanotechnology to advance cancer immunotherapy.

Identification of thyroid cancer biomarkers using WGCNA and machine learning

OBJECTIVE

The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis from widespread screening and improved ultrasound technology. Identifying precise TC biomarkers is crucial for accurate diagnosis and effective treatment.

METHODS

TC patient data were obtained from TCGA. DEGs were analyzed using DESeq2, and WGCNA identified gene modules associated with TC. Machine learning algorithms (XGBoost, LASSO, RF) identified key biomarkers, with ROC and AUC > 0.95 indicating strong diagnostic performance. Immune cell infiltration and biomarker correlation were analyzed using CIBERSORT.

RESULTS

Four key genes (P4HA2, TFF3, RPS6KA5, EYA1) were found as potential biomarkers. High P4HA2 expression was associated with suppressed anti-tumor immune responses and promoted disease progression. In vitro studies showed that P4HA2 upregulation increased TC cell growth and migration, while its suppression reduced these activities.

CONCLUSION

Through bioinformatics and experimental validation, we identified P4HA2 as a key potential thyroid cancer biomarker. This finding provides new molecular targets for diagnosis and treatment. P4HA2 has the potential to be a diagnostic or therapeutic target, which could have significant implications for improving clinical outcomes in thyroid cancer patients.

Leveraging machine learning and bioinformatics to identify diagnostic biomarkers connected to hypoxia-related genes in preeclampsia

PE is a serious form of pregnancy-related hypertension. Hypoxia can induce cellular dysfunction, adversely affecting both the infant and the mother. This study aims to investigate the relationship between HRGs and the diagnosis of PE, seeking to enhance our understanding of potential molecular mechanisms and offer new perspectives for the detection and treatment of the condition. A WGCNA network was established to identify key genes significantly associated with traits of PE. LASSO, SVM-RFE, and RF were utilized to identify feature genes. Calibration curves and DCA were employed to assess the diagnostic performance of the comprehensive nomogram. Consensus clustering was applied to identify subtypes of PE. GSEA and the construction of a ceRNA network were used to explore the potential biological functions and regulatory mechanisms of the identified feature genes. Furthermore, ssGSEA was conducted to investigate the immune landscape associated with PE. We successfully identified three potential diagnostic biomarkers for PE: P4HA1, NDRG1, and BHLHE40. Furthermore, the nomogram exhibited strong diagnostic performance. In patients with PE, the abundance of pro-inflammatory immune cells was significantly elevated, reflecting characteristics of high infiltration. The levels of immune cells infiltration were significantly correlated with the expression of the identified feature genes. Notably, these feature genes may be closely linked to mitochondrial-related biological functions. In conclusion, our findings enhance the understanding of the pathological mechanisms underlying PE and open innovative avenues for the diagnosis and treatment of PE.

Exploring the relationship between histological grading, fibrillar collagen alterations and nuclear phenotypes in canine mammary carcinomas

We evaluated collagen deposition and nuclear phenotypes in non-inflammatory, metastasis-free canine mammary carcinomas at the time of tumour resection. A retrospective cohort analysis was conducted on 68 female dogs diagnosed with mammary carcinomas between January 2013 and December 2021, excluding cases of mammary sarcoma, carcinosarcoma, inflammatory mammary cancer and metastases. Tumours were classified into histological subtypes using the Peña grading system and assigned grades accordingly. Software-assisted video image analysis was utilized to quantitatively assess collagen deposition, organization and nuclear phenotypes. Histological grading was performed by three independent examiners to ensure reproducibility and minimize observer bias. Significant differences in collagen deposition and nuclear phenotypes were observed across histological grades. Grade III carcinomas had significantly greater collagen deposition, both within the tumour core and at the tumour periphery, compared with grades I and II. Collagen organization was markedly increased in grade III carcinomas. Nuclear phenotype analysis revealed distinct features that allowed clear differentiation between grade II and grade III tumours. Software-assisted image analysis effectively identified distinct patterns of collagen deposition, organization and nuclear phenotypes associated with canine mammary carcinomas of various grades, providing important information about tumour biology.

Spatial localization of collagen hydroxylated proline site variation as an ancestral trait in the breast cancer microenvironment

Collagen stroma interactions within the extracellular microenvironment of breast tissue play a significant role in breast cancer, including risk, progression, and outcomes. Hydroxylation of proline (HYP) is a common post-translational modification directly linked to breast cancer survival and progression. Changes in HYP status lead to alterations in epithelial cell signaling, extracellular matrix remodeling, and immune cell recruitment. In the present study, we test the hypothesis that the breast cancer microenvironment presents unique PTMs of collagen, which form bioactive domains at these sites that are associated with spatial histopathological characteristics and influence breast epithelial cell signaling. Mass spectrometry imaging proteomics targeting collagens were paired with comprehensive proteomic methods to identify novel breast cancer-related collagen domains based on spatial localization and regulation in 260 breast tissue samples. As ancestry plays a significant role in breast cancer outcomes, these methods were performed on ancestry diverse breast cancer tissues. Lumpectomies from the Cancer Genome Atlas (TCGA; n=10) reported increased levels of prolyl 4-hydroxylase subunit alpha-3 (P4HA3) accompanied by spatial regulation of fibrillar collagen protein sequences. A concise set of triple negative breast cancer lumpectomies (n=10) showed spatial regulation of specific domain sites from collagen alpha-1(I) chain. Tissue microarrays identified proteomic alterations around post-translationally modified collagen sites in healthy breast (n=81) and patient matched normal adjacent (NAT; n=76) and invasive ductal carcinoma (n=83). A collagen alpha-1(I) chain domain encompassing amino acids 506-514 with site-specific proline hydroxylation reported significant alteration between patient matched normal adjacent tissue and invasive breast cancer. Functional testing of domain 506-514 on breast cancer epithelial cells showed proliferation, chemotaxis and cell signaling response dependent on site localization of proline hydroxylation within domain 506-514 variants. These findings support site localized collagen HYP forms novel bioactive domains that are spatially distributed within the breast cancer microenvironment and may play a role in ancestral traits of breast cancer.

SOAPy: a Python package to dissect spatial architecture, dynamics, and communication

Advances in spatial omics enable deeper insights into tissue microenvironments while posing computational challenges. Therefore, we developed SOAPy, a comprehensive tool for analyzing spatial omics data, which offers methods for spatial domain identification, spatial expression tendency, spatiotemporal expression pattern, cellular co-localization, multi-cellular niches, cell-cell communication, and so on. SOAPy can be applied to diverse spatial omics technologies and multiple areas in physiological and pathological contexts, such as tumor biology and developmental biology. Its versatility and robust performance make it a universal platform for spatial omics analysis, providing diverse insights into the dynamics and architecture of tissue microenvironments.

Microenvironment-based immunotherapy in oral cancer: a comprehensive review

Oral cancer, a prevalent form of head and neck malignancy, accounts for 4% of global cancer cases. The most common type, oral squamous cell carcinoma (OSCC), has a survival rate of about 50%. Even though emerging molecular therapies show promise for managing oral cancer, current treatments like surgery, radiotherapy, and chemotherapy have significant side effects. In addition, the complex tumor microenvironment (TME), involving the extracellular matrix (ECM) and cells like fibroblasts and stromal cells like immune cells, promotes tumor growth and inhibits immune responses, complicating treatment. Nonetheless, immunotherapy is crucial in cancer treatment, especially in oral cancers. Indeed, its effectiveness lies in targeting immune checkpoints such as PD-1 and CTLA-4 inhibitors, as well as monoclonal antibodies like pembrolizumab and cetuximab, adoptive cell transfer methods (including CAR-T cell therapy), cytokine therapy such as IL-2, and tumor vaccines. Thus, these interventions collectively regulate tumor proliferation and metastasis by targeting the TME through autocrine-paracrine signaling pathways. Immunotherapy indeed aims to stimulate the immune system, leveraging both innate and adaptive immunity to counteract cancer cell signals and promote tumor destruction. This review will explore how the TME controls tumor proliferation and metastasis via autocrine-paracrine signaling pathways. It will then detail the effectiveness of immunotherapy in oral cancers, focusing on immune checkpoints, targeted monoclonal antibodies, adoptive cell transfer, cytokine therapy, and tumor vaccines.

Mapping Tumor-Stroma-ECM Interactions in Spatially Advanced 3D Models of Pancreatic Cancer

Bioengineering-based in vitro tumor models are increasingly important as tools for studying disease progression and therapy response for many cancers, including the deadly pancreatic ductal adenocarcinoma (PDAC) that exhibits a tumor/tissue microenvironment of high cellular/biochemical complexity. Therefore, it is crucial for in vitro models to capture that complexity and to enable investigation of the interplay between cancer cells and factors such as extracellular matrix (ECM) proteins or stroma cells. Using polyurethane (PU) scaffolds, we performed a systematic study on how different ECM protein scaffold coatings impact the long-term cell evolution in scaffolds containing only cancer or only stroma cells (activated stellate and endothelial cells). To investigate potential further changes in those biomarkers due to cancer-stroma interactions, we mapped their expression in dual/zonal scaffolds consisting of a cancer core and a stroma periphery, spatially mimicking the fibrotic/desmoplastic reaction in PDAC. In our single scaffolds, we observed that the protein coating affected the cancer cell spatial aggregation, matrix deposition, and biomarker upregulation in a cell-line-dependent manner. In single stroma scaffolds, different levels of fibrosis/desmoplasia in terms of ECM composition/quantity were generated depending on the ECM coating. When studying the evolution of cancer and stroma cells in our dual/zonal model, biomarkers linked to cell aggressiveness/invasiveness were further upregulated by both cancer and stroma cells as compared to single scaffold models. Collectively, our study advances the understanding of how different ECM proteins impact the long-term cell evolution in PU scaffolds. Our findings show that within our bioengineered models, we can stimulate the cells of the PDAC microenvironment to develop different levels of aggressiveness/invasiveness, as well as different levels of fibrosis. Furthermore, we highlight the importance of considering spatial complexity to map cell invasion. Our work contributes to the design of in vitro models with variable, yet biomimetic, tissue-like properties for studying the tumor microenvironment's role in cancer progression.

Tumor Biomechanics Quantified Using MR Elastography to Predict Response to Neoadjuvant Chemotherapy in Individuals with Breast Cancer

Purpose To evaluate the ability of MR elastography (MRE) to noninvasively quantify tissue biomechanics and determine the added diagnostic value of biomechanics for predicting response throughout neoadjuvant chemotherapy (NAC). Materials and Methods In this prospective study (between September 2020 and August 2023; registration no. NCT03238144), participants with breast cancer scheduled to undergo NAC underwent five MRE scans at different time points alongside clinical dynamic contrast-enhanced MRI (DCE MRI). Regions of interest were drawn over the tumor region for the first two scans, while for the post-NAC scan, the initial pre-NAC tumor footprint was used. Biomechanics, specifically tumor stiffness and phase angle within these regions of interest, were quantified as well as the corresponding ratios relative to before NAC (tumor-stiffness ratio and phase-angle ratio, respectively). Postsurgical pathologic analysis was used to determine complete and partial responders. Furthermore, a repeatability analysis was performed for 18 participants. Results Datasets of 41 female participants (mean age, 47 years ± 12.5 [SD]) were included in this analysis. The tumor-stiffness ratio following NAC decreased significantly for complete responders and increased for partial responders (0.76 ± 0.16 and 1.14 ± 0.24, respectively; P < .001). The phase-angle ratio after the first cycle of the first NAC regimen compared with before NAC predicted pathologic response (1.23 ± 0.31 vs 0.91 ± 0.34; P < .001). Combining the tumor stiffness ratio with DCE MRI improved specificity compared with DCE MRI alone (96% vs 44%) while maintaining the high sensitivity of DCE MRI (94%). Repeatability analysis showed excellent agreement for elasticity (repeatability coefficient, 8.3%) and phase angle (repeatability coefficient, 5%). Conclusion MRE-derived phase-angle ratio and tumor stiffness ratio were associated with pathologic complete response in participants with breast cancer undergoing NAC, and a combined DCE MRI plus MRE approach significantly enhanced specificity for identification of complete responders after NAC, while maintaining high sensitivity. Keywords: Breast Cancer, MR Elastography, Neoadjuvant Chemotherapy, Dynamic Contrast-enhanced MRI Supplemental material is available for this article. Clinical trials registration no. NCT03238144 Published under a CC BY 4.0 license.

Discoidin domain receptor inhibitor DDR1-IN-1 induces autophagy and necroptotic cell death in malignant peripheral nerve sheath tumor

Malignant peripheral nerve sheath tumor (MPNST) is a soft tissue sarcoma commonly associated with the tumor-predisposition disorder neurofibromatosis 1. The extracellular matrix collagens contribute to many fibrotic tumors; however, the role of collagen signaling in MPNST was unclear. This study investigated the effects of blocking the interaction between collagens and their receptors in MPNST. We first analyzed the expressions of collagen family proteins in MPNSTs and found an overall increase compared to neurofibroma. Treatment of DDR1-IN-1, a small molecule inhibitor for the collagen receptor discoidin domain receptor, induced a robust MPNST cell death, highlighting the dependence of MPNST survival on collagen signaling. DDR1-IN-1 induced MPNST cell death by activating autophagy and necroptosis signaling. Treatment of necroptosis inhibitors necrostatin-1 or necrosulfonamide reduced the numbers of DDR1-IN-1-induced necrotic cells and autolysosomes, suggesting that the autophagic process depends on necroptosis activation. Combinations of DDR1-IN-1 with other anti-MPNST agents revealed synergistic activities against MPNST. In summary, this study discovered a critical MPNST death signaling induced by the small molecule DDR1-IN-1, which might shed light on future MPNST therapeutic strategies.

Non-epithelial Circulating Tumor Cells Enhance Disease Progression in High-risk Prostate Cancer through EMT and COL1A1 Expression

Introduction: Circulating tumor cells (CTCs) are important prognostic indicators for malignancies. However, a reliable positive/negative cutoff value of non-epithelial (NE+: hybrid and mesenchymal) CTCs phenotype in prostate cancer (PCa) patients has not been established. Here, we aimed to determine the cutoff value and the prognostic value of NE+ CTCs in high-risk prostate cancer (HRPC) patients after radical prostatectomy (RP). Methods: The cutoff value of NE+ CTCs was established in spiking experiments, and CTCs were detected in 208 HRPC patients using the CanPatrolTM platform. The expression and function of COL1A1 in PCa were examined via qRT-PCR, Western blot, wound healing assay, Transwell assay, and immunohistochemistry (IHC). Results: The cutoff value of NE+ CTCs was determined to be 45% by spiking experiments. In 208 HRPC patients, the NE+ CTCs positive group had higher prostate-specific antigen (PSA) levels, more advanced pathological tumor stage, and lymph node stage (P < 0.001, P = 0.002 and 0.002, respectively). Besides, patients with NE+ CTCs ≥ 45% had a shorter median progression-free survival (PFS) than those with NE+ CTCs < 45% (44.5 vs. 51.0 months, hazard ratio = 3.31, P < 0.05). Moreover, we identified that COL1A1 was associated with a high proportion of NE+ CTCs in HRPC patients via an EMT mechanism. Conclusion: Our findings suggest that NE+ CTCs represent a reliable prognostic indicator for HRPC patients and that targeting COL1A1 may prevent the formation of NE+ CTCs.

Hypoxia-induced CTCF mediates alternative splicing via coupling chromatin looping and RNA Pol II pause to promote EMT in breast cancer

Hypoxia influences the epithelial-mesenchymal transition (EMT) through the remodeling of the chromatin structure, epigenetics, and alternative splicing. Hypoxia drives CCCTC-binding factor (CTCF) induction through hypoxia-inducible factor 1-alpha (HIF1α), which promotes EMT, although the underlying mechanisms remain unclear. We find that hypoxia significantly increases CTCF occupancy at various EMT-related genes. We present a CTCF-mediated intricate mechanism promoting EMT wherein CTCF binding at the collagen type V alpha 1 chain (COL5A1) promoter is crucial for COL5A1 upregulation under hypoxia. Additionally, hypoxia drives exon64A inclusion in a mutually exclusive alternative splicing event of COL5A1exon64 (exon64A/64B). Notably, CTCF mediates COL5A1 promoter-alternatively spliced exon upstream looping that regulates DNA demethylation at distal exon64A. This further regulates the CTCF-mediated RNA polymerase II pause at COL5A1exon64A, leading to its inclusion in promoting the EMT under hypoxia. Genome-wide study indicates the association of gained CTCF occupancy with the alternative splicing of many cancer-related genes, similar to the proposed model. Specifically, disrupting the HIF1α-CTCF-COL5A1exon64A axis through the dCas9-DNMT3A system alleviates the EMT in hypoxic cancer cells and may represent a novel therapeutic target in breast cancer.

The role of Prolyl 3-Hydroxylase 1 (P3H1) in tumor development and prognosis: a pan-cancer analysis with validation in colonic adenocarcinoma

BACKGROUND

Cancer is a multifaceted disease characterized by unregulated cell proliferation, evasion of apoptosis, and metastasis. Recent studies have highlighted the importance of extracellular matrix remodeling and post-translational modifications in tumorigenesis. Prolyl 3-hydroxylase 1 (P3H1), an enzyme involved in collagen hydroxylation, has gained attention for its role in cancer progression.

METHODS

This study investigates P3H1 expression, prognostic value, and functional relevance across multiple human cancers using a combination of bioinformatic and experimental approaches.

RESULTS

Using The Cancer Genome Atlas (TCGA) data from TIMER2.0 and UALCAN databases, we observed a significant upregulation of P3H1 mRNA and protein in various cancers. Prognostic analysis using GEPIA2 and KM plotter revealed that high P3H1 expression correlates with poorer overall survival in colon adenocarcinoma (COAD), kidney renal clear cell carcinoma (KIRC), and liver hepatocellular carcinoma (LIHC). Further, genetic and promoter methylation analyses showed low mutation frequencies and reduced methylation of P3H1 in specific cancer types. Functional and pathway enrichment analyses indicated that P3H1 is involved in collagen formation, endoplasmic reticulum activity, and pathways such as ECM-receptor interaction and PI3K-Akt signaling. Validation by enzyme linked immunosorbent assay in COAD patient serum samples demonstrated significantly elevated P3H1 levels compared to healthy controls, with an AUC approaching 1.0 by receiver operating characteristic (ROC) curve analysis. This suggests its potential as a diagnostic biomarker. Additionally, functional experiments were conducted in COAD cells to assess P3H1's role in tumorigenesis. Knockdown of P3H1 in HCT116 cells resulted in a significant reduction in cell proliferation, colony formation, and migratory abilities of these cells.

CONCLUSION

These findings emphasize P3H1's relevance in COAD, KIRC, and LIHC pathogenesis and possible utility in clinical diagnosis.

Proteomic profiling reveals biological processes and biomarkers involved in the pathogenesis of occult breast cancer

BACKGROUND

Occult breast cancer (OBC) is defined as axillary lymph node metastasis without any evidence of a primary tumor in the breast. Because of the limited number of clinical cases, the clinicopathological features and treatment recommendations of OBC are still controversial. In addition, its natural history is poorly understood and its proteomic signature remains unknown.

MATERIALS AND METHODS

We compared the clinicopathological features and prognosis of OBC patients and Non-OBC patients from the Surveillance, Epidemiology, and End Results (SEER) database and analyzed the effects of local treatment on the survival outcomes of OBC patients. Additionally, we performed a quantitative proteomic analysis for tissue samples of metastatic lymph nodes from OBC patients (OBC-LN), and paired tissue samples of metastatic lymph nodes (Non-OBC-LN) and primary tumors (Non-OBC-PT) from Non-OBC patients. We identified differentially expressed proteins in different comparable groups using Student's t test. Functional enrichment and protein-protein interaction network analyses were used to interpret the functions and interactions of the differentially expressed proteins in the comparison of OBC-LN vs Non-OBC-LN. Immunohistochemistry was used for the validation of the hub proteins.

RESULTS

Analysis of data from the SEER database demonstrated that OBC patients had a better prognosis than Non-OBC patients did and that either mastectomy or radiation therapy improved the outcomes of OBC patients. A total of 7208 comparable proteins were successfully quantified. Compared with those of the Non-OBC-LN samples, the OBC-LN protein profiles exhibited an active extracellular matrix and a thoroughly upregulated epithelial-mesenchymal transition phenotype. COL1A1, COL1A2, COL3A1, MMP2 and LUM were overexpressed in the OBC-LN samples and were identified as hub proteins. Immunohistochemical staining demonstrated that the five hub proteins were overexpressed in OBC-LN samples.

CONCLUSION

Our results provide insights for the clinical management of OBC and the proteomic signature of OBC offers molecular basis for further biological research.

Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) presents a clinical challenge due to its poor prognosis and high mortality rate. Here, we aimed to enhance the prognostic prediction of patients with PDAC by studying collagen features in tumor microenvironment using multiphoton microscopy (MPM) combining with image processing technique. We identified eight distinct tumor-associated collagen signatures (TACS1-8) from multiphoton images of PDAC tissues and developed an optical biomarker, TACS-score, based on the TACS1-8 using ridge regression analysis. Additionally, we also extracted 142 microscopic TACS (M-TACS) from second-harmonic generation (SHG) images and constructed a new robust biomarker, M-TACS-score, using the least absolute shrinkage and selection operator (LASSO) regression analysis. Our statistical results demonstrate that as two new optical biomarkers, TACS- and M-TACS-score, are independent prognostic factors and have good discriminatory ability (high AUC) as well as risk stratification (high HR) comparing with traditional clinical model (combining seven clinical risk factors, age, sex, TNM stage, tumor location and differentiation, perineural and lymph-vascular invasion) in predicting overall survival (OS) of patients with PDAC, highlighting their potential prognostic and predictive value. A combination of label-free multiphoton imaging technique and computer-aided image processing method may offer a novel and promising approach for finding new biomarkers to improve prognosis prediction and thereby tailor treatment strategies more effectively.

Penile Cancer: Innovations in Ultrastructural and Vibrational Markers

Penile cancer (PCa) is a disease that manifests predominantly as squamous cell carcinomas (SCCs), which, although rare, represents a significant public health problem, especially in regions with less socioeconomic development. One of the biggest challenges in managing this disease is the difficulty in differentiating tumor subtypes, making accurate diagnosis and treatment challenging. In this context, new characterization techniques are needed to investigate these tumors more completely. Atomic force microscopy (AFM) and Raman spectroscopy (RS) are valuable in this context, providing quantitative and qualitative ultrastructural data and vibrational signatures of the analyzed samples. In this study, AFM and RS techniques were employed to investigate subtypes of penile cancer, including the highly aggressive basaloid subtype, which is closely associated with human papillomavirus (HPV), and the sarcomatoid subtype, comparing them with nontumorous tissues. The AFM results revealed nanoscale changes in the ultrastructural properties of tumor samples, such as increased roughness in tumor tissues, with emphasis on the basaloid type associated with the HPV virus, and reduction in the surface area and volume of tumor tissues at the nanoscale, suggesting deeper tissue infiltration and greater deformability of tumor samples at the nanoscale. RS results detected significant spectral differences between normal and cancerous tissues and between tumor subtypes, particularly in vibrational modes related to proteins and lipids. Principal component analysis (PCA) confirmed a strong discriminative power between control and PCa groups. The data presented here offers new insights into the characteristics of penile tumors that, when integrated with clinical analyses, could improve the understanding of penile cancer behavior, contributing to more accurate diagnostic methods and targeted treatments.

Geometric characteristics of stromal collagen fibres in breast cancer using differential interference contrast microscopy

Breast cancer (BC) is characterised by a high level of heterogeneity, which is influenced by the interaction of neoplastic cells with the tumour microenvironment. The diagnostic and prognostic role of the tumour stroma in BC remains to be defined. Differential interference contrast (DIC) microscopy is a label-free imaging technique well suited to visualise weak optical phase objects such as cells and tissue. This study aims to compare stromal collagen fibre characteristics between in situ and invasive breast tumours using DIC microscopy and investigate the prognostic value of collagen parameters in BC. A tissue microarray was generated from 200 cases, comprising ductal carcinoma in situ (DCIS; n = 100) and invasive tumours (n = 100) with an extra 50 (25 invasive BC and 25 DCIS) cases for validation was utilised. Two sections per case were used: one stained with haematoxylin and eosin (H&E) stain for histological review and one unstained for examination using DIC microscopy. Collagen fibre parameters including orientation angle, fibre alignment, fibre density, fibre width, fibre length and fibre straightness were measured. Collagen fibre density was higher in the stroma of invasive BC (161.68 ± 11.2 fibre/µm2) compared to DCIS (p < 0.0001). The collagen fibres were thinner (13.78 ± 1.08 µm), straighter (0.96 ± 0.006, on a scale of 0-1), more disorganised (95.07° ± 11.39°) and less aligned (0.20 ± 0.09, on a 0-1 scale) in the invasive BC compared to DCIS (all p < 0.0001). A model considering these features was developed that could distinguish between DCIS and invasive tumours with 94% accuracy. There were strong correlations between fibre characteristics and clinicopathological parameters in both groups. A statistically significant association between fibre characteristics and patients' outcomes (breast cancer specific survival, and recurrence free survival) was observed in the invasive group but not in DCIS. Although invasive BC and DCIS were both associated with stromal reaction, the structural features of collagen fibres were significantly different in the two disease stages. Analysis of the stroma fibre characteristics in the preoperative core biopsy specimen may help to differentiate pure DCIS from those associated with invasion.

Nicotinamide N-methyltransferase negatively regulates metastasis-promoting property of cancer-associated fibroblasts in lung adenocarcinoma

BACKGROUND

Recurrence and metastasis remain significant challenges in lung adenocarcinoma (LUAD) after radical resection. The mechanisms behind the recurrence and metastasis of LUAD remain elusive, and deregulated cellular metabolism is suspected to play a significant role. This study explores the metabolic and epigenetic regulation mediated by nicotinamide N-methyl transferase (NNMT) in LUAD.

METHODS

Untargeted metabolomic analyses were performed to detect metabolism irregularities. Single-cell RNA sequencing (RNA-seq) databases and multiplex immunofluorescence analysis were used to identify the location of NNMT within the tumor microenvironment. The biological functions of NNMT were investigated both in vitro and in vivo, with RNA-seq and chromatin immunoprecipitation-PCR providing insights into underlying mechanisms. Finally, single-cell RNA-seq data and immunohistochemistry of primary tumors were analyzed to validate the main findings.

RESULTS

Untargeted metabolomic analyses revealed metabolic aberrations in amino acids, organic acids, lipids, and nicotinamide pathways, which are linked to metastasis of non-small cell lung cancer. NNMT is a key enzyme in nicotinamide metabolism, and we found the bulk tissue mRNA level of NNMT gene was inversely associated with LUAD metastasis. NNMT was proved to be predominantly expressed in cancer-associated fibroblasts (CAFs) within the stromal regions of LUAD, and a low stromal NNMT expression was identified as a predictor of poor disease-free survival following radical resection of LUAD. The isolation and primary culture of CAFs from LUAD enabled in vitro and in vivo experiments, which confirmed that NNMT negatively regulated the metastasis-promoting properties of CAFs in LUAD. Mechanistically, the downregulation of NNMT led to an increase in intracellular methyl groups by reducing the activity of the methionine cycle, resulting in heightened methylation at H3K4me3. This alteration triggered the upregulation of genes involved in extracellular matrix remodeling in CAFs, including those encoding collagens, integrins, laminins, and matrix metalloproteinases, thereby facilitating cancer cell invasion and metastasis. Reanalysis of single-cell RNA-seq data and immunohistochemistry assays of primary LUAD tissues substantiated NNMT's negative regulation of these genes in CAFs.

CONCLUSIONS

This study provides novel insights into the metabolic and epigenetic regulatory functions of NNMT in CAFs, expanding the current understanding of LUAD metastasis regulation and suggesting potential avenues for future research and therapeutic development.

Quantitative Assessment of Collagen Architecture to Determine Role of Tumor Stroma During Vestibular Schwannoma Progression

OBJECTIVE

The primary objective was to characterize the abundance and architecture of collagen in the extracellular matrix in vestibular schwannoma (VS). The secondary objective was to investigate the association between collagen architecture and tumor size.

STUDY DESIGN

Retrospective cohort study.

SETTING

Academic referral center.

METHODS

Tumor samples were obtained from patients with sporadic VS undergoing microsurgical resection. Histological analyses were performed including picrosirius red (PSR) staining under polarized light. Collagen architecture was quantified using an automated fiber detection software. Second Harmonic Generation (SHG) microscopy and immunofluorescence (IF) were utilized to characterize collagen architecture.

RESULTS

Eleven tumor specimens were included (mean tumor diameter = 2.80 cm, range 1.5-4.0 cm), and were divided into large (mean diameter = 3.5 ± 0.4 cm) and small (mean tumor diameter = 2.0 ± 0.4 cm) cohorts based on size. The large VS cohort showed significantly higher collagen density (27.65% vs 12.73%, P = .0043), with more thick fibers (mature Type I, 24.54% vs 12.97%, P = .0022) and thin fibers (immature Type I or mature Type III, 23.55% vs 12.27%, P = .026). Tumor volume correlated with greater degree of collagen fiber disorganization (P = .0413, r2 = 0.298). Specifically, collagen type I intensity was significantly higher in large VS compared to small tumors (P < .001) and peripheral nerve (P = .028).

CONCLUSION

Larger VS exhibit increased collagen abundance in the tumor stroma, and a more disorganized collagen architecture compared to smaller VS and normal peripheral nerve tissue. This finding indicates that collagen organization may play a significant role in extracellular matrix remodeling and the progression of VS.

Computational Evaluation of Improved HIPEC Drug Delivery Kinetics via Bevacizumab-Induced Vascular Normalization

Background: Oxaliplatin-based hyperthermic intraperitoneal chemotherapy (HIPEC) using the original 30 min protocol has shown limited benefits in patients with peritoneal metastasis of colorectal cancer (PMCRC), likely due to the short duration, which limits drug penetration into tumor nodules. Bevacizumab, an antiangiogenic antibody that modifies the tumor microenvironment, may improve drug delivery during HIPEC. This in silico study evaluates the availability of oxaliplatin within tumor nodules when HIPEC is performed after bevacizumab treatment. Methods: Using a computational fluid dynamics (CFD) model of HIPEC, the temperature and oxaliplatin distribution within the rat abdomen were calculated, followed by a model of drug transport within tumor nodules located at various sites in the peritoneum. The vascular normalization effect of the bevacizumab treatment was incorporated by adjusting the biophysical parameters of the tumor nodules. The effective penetration depth values, including the thermal enhancement ratio of cytotoxicity, were then compared between HIPEC alone and HIPEC combined with the bevacizumab treatment. Results: After bevacizumab treatments at doses of 0.5 mg/kg and 5 mg/kg, the oxaliplatin availability increased by up to 20% and 45% when HIPEC was performed during the vascular normalization phase, with the penetration depth increasing by 1.5-fold and 2.3-fold, respectively. Tumors with lower collagen densities and larger vascular pore sizes showed higher oxaliplatin enhancement after the combined treatment. Bevacizumab also enabled a reduction in the oxaliplatin dose (up to half at 5 mg/kg bevacizumab) while maintaining effective drug levels in the tumor nodules, potentially reducing systemic toxicity. Conclusions: These findings suggest that administering oxaliplatin-based HIPEC during bevacizumab-induced vascular normalization could significantly improve drug penetration and enhance treatment efficacy.

The Dynamic Changes of COL11A1 Expression During the Carcinogenesis and Development of Breast Cancer and as a Candidate Diagnostic and Prognostic Marker

Purpose: Collagen type XI alpha 1 (COL11A1), a critical member of the collagen superfamily, is essential for tissue structure and integrity. This study aimed to validate previously identified variations in COL11A1 expression during breast cancer carcinogenesis and progression, as well as elucidate their clinical implications. Methods: COL11A1 mRNA expression levels were assessed using real-time reverse transcription-PCR (RT-PCR) in 30 pairs of normal breast tissue and primary breast cancer, 30 pairs of primary breast cancer and lymph node metastases, 30 benign tumors, and 107 primary breast cancers. COL11A1 protein expression was evaluated by Western blot in six matched trios of normal tissue, primary cancer, and lymph node metastasis. Results: COL11A1 mRNA levels were significantly higher in primary breast cancer tissues (n = 30) than in adjacent normal breast tissues (p < 0.001). Conversely, lymph node metastases (n = 30) showed significantly lower COL11A1 mRNA levels compared to their primary breast cancer counterparts (p=0.005). In a larger cohort, primary breast cancers (n = 107) had significantly elevated COL11A1 mRNA levels relative to adjacent normal tissues (n = 30) and benign tumors (n = 30) (p < 0.001). Benign tumors also demonstrated higher levels compared to normal tissues (p=0.012). The protein expression patterns were consistent with the mRNA findings. Receiver operating characteristic (ROC) curve analysis confirmed the diagnostic relevance of COL11A1 expression levels. Significant associations were found between COL11A1 mRNA levels and clinical parameters including lymph node involvement (p=0.046), clinical stage (p=0.004), and progesterone receptor status (p=0.048). Overexpression of COL11A1 was correlated with poor prognosis. Conclusions: COL11A1 expression varies during breast tumor initiation and progression, with elevated levels linked to worse prognoses. These findings underscore COL11A1's potential as a biomarker in breast cancer, suggesting its assessment could enhance diagnostic and prognostic strategies for more personalized patient management.

High matrix stiffness accelerates migration of hepatocellular carcinoma cells through the integrin β1-Plectin-F-actin axis

BACKGROUND

Abundant research indicates that increased extracellular matrix (ECM) stiffness significantly enhances the malignant characteristics of hepatocellular carcinoma (HCC) cells. Plectin, an essential cytoskeletal linker protein, has recently emerged as a promoter of cancer progression, particularly in the context of cancer cell invasion and metastasis. However, the responsiveness of plectin to changes in ECM stiffness and its impact on HCC progression remain unclear. In this study, we aimed to investigate whether plectin responds to variations in ECM stiffness and to explore its involved molecular mechanisms in regulating HCC cell migration.

RESULTS

Our results showed that, when compared with control group (7 kPa), high ECM stiffness (53 kPa) boosts HCC cell migration by upregulating plectin and integrin β1 expression and increasing F-actin polymerization. Knockdown of integrin β1 negated the high stiffness-upregulated plectin expression. Furthermore, reducing either plectin or integrin β1 levels, or using latrunculin A, effectively prevented the high ECM stiffness-induced F-actin polymerization and HCC cell migration.

CONCLUSIONS

These findings demonstrate that integrin β1-plectin-F-actin axis is necessary for high matrix stiffness-driven migration of HCC cells, and provide evidence for the critical role of plectin in mechanotransduction in HCC cells.

Pulse-Echo Ultrasound for Quantitative Measurements of Two Uncorrelated Elastic Parameters

OBJECTIVE

This paper describes the relationship between elastic tissue properties and strain and presents an initial investigation of pulse-echo ultrasound to measure two uncorrelated elastic parameters in tissue-mimicking phantoms. The two elastic parameters are the shear modulus, related to deformation of shape, and what we in the paper define as the nonlinear compressibility, related to deformation of volume.

METHODS

We prepared tissue-mimicking phantoms containing lesions of variable shear modulus and variable nonlinear compressibility. An in-house framework for shear wave imaging was developed using ultrasound radiation force at 4.5 MHz to induce shear waves and plane wave imaging with pulses in a frequency band centered around 12.5 MHz to track the shear waves. For measurements of nonlinear compressibility, co-propagating dual-frequency pulse complexes at 0.7 MHz and 14 MHz were applied. Algorithms were implemented on a Verasonics Vantage ultrasound scanner and a custom-made multi-frequency ultrasound transducer was used. Mechanical indentation measurements were performed to validate ultrasound measurements of the shear modulus. For the nonlinear compressibility, ultrasound measurements were compared to results derived from the literature.

RESULTS

We found good agreement in elasticity results from ultrasound measurements and mechanical indentation as well as when comparing with results derived from the literature.

CONCLUSION

Results of the current investigation were promising. We plan patient studies involving thyroid lesions and liver steatosis to explore whether measurements of elastic parameters related both to shape deformation and volume deformation are useful in clinical practice.

Detecting Collagen by Machine Learning Improved Photoacoustic Spectral Analysis for Breast Cancer Diagnostics: Feasibility Studies With Murine Models

Collagen, a key structural component of the extracellular matrix, undergoes significant remodeling during carcinogenesis. However, the important role of collagen levels in breast cancer diagnostics still lacks effective in vivo detection techniques to provide a deeper understanding. This study presents photoacoustic spectral analysis improved by machine learning as a promising non-invasive diagnostic method, focusing on exploring collagen as a salient biomarker. Murine model experiments revealed more profound associations of collagen with other cancer components than in normal tissues. Moreover, an optimal set of feature wavelengths was identified by a genetic algorithm for enhanced diagnostic performance, among which 75% were from collagen-dominated absorption wavebands. Using optimal spectra, the diagnostic algorithm achieved 72% accuracy, 66% sensitivity, and 78% specificity, surpassing full-range spectra by 6%, 4%, and 8%, respectively. The proposed photoacoustic methods examine the feasibility of offering valuable biochemical insights into existing techniques, showing great potential for early-stage cancer detection.

PIEZO1 mediates matrix stiffness-induced tumor progression in kidney renal clear cell carcinoma by activating the Ca2+/Calpain/YAP pathway

OBJECTIVE

The significance of physical factors in the onset and progression of tumors has been increasingly substantiated by a multitude of studies. The extracellular matrix, a pivotal component of the tumor microenvironment, has been the subject of extensive investigation in connection with the advancement of KIRC (Kidney Renal Clear Cell Carcinoma) in recent years. PIEZO1, a mechanosensitive ion channel, has been recognized as a modulator of diverse physiological processes. Nonetheless, the precise function of PIEZO1 as a transducer of mechanical stimuli in KIRC remains poorly elucidated.

METHODS

A bioinformatics analysis was conducted using data from The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) to explore the correlation between matrix stiffness indicators, such as COL1A1 and LOX mRNA levels, and KIRC prognosis. Expression patterns of mechanosensitive ion channels, particularly PIEZO1, were examined. Collagen-coated polyacrylamide hydrogel models were utilized to simulate varying stiffness environments and study their effects on KIRC cell behavior in vitro. Functional experiments, including PIEZO1 knockdown and overexpression, were performed to investigate the molecular mechanisms underlying matrix stiffness-induced cellular changes. Interventions in the Ca2+/Calpain/YAP Pathway were conducted to evaluate their effects on cell growth, EMT, and stemness characteristics.

RESULTS

Our findings indicate a significant correlation between matrix stiffness and the prognosis of KIRC patients. It is observed that higher mechanical stiffness can facilitate the growth and metastasis of KIRC cells. Notably, we have also observed that the deficiency of PIEZO1 hinders the proliferation, EMT, and stemness characteristics of KIRC cells induced by a stiff matrix. Our study suggests that PIEZO1 plays a crucial role in mediating KIRC growth and metastasis through the activation of the Ca2+/Calpain/YAP Pathway.

CONCLUSION

This study elucidates a novel mechanism through which the activation of PIEZO1 leads to calcium influx, subsequent calpain activation, and YAP nuclear translocation, thereby contributing to the progression of KIRC driven by matrix stiffness.

Discoidin Domain Receptor 2 Contributes to Breast Cancer Progression and Chemoresistance by Interacting with Collagen Type I

Background: Chemoresistance is an important issue to be solved in breast cancer. It is well known that the content and morphology of collagens in tumor tissues are drastically altered following chemotherapy, and discoidin domain receptor 2 (DDR2) is a unique type of receptor tyrosine kinase (RTK). This RTK is activated by collagens, playing important roles in human malignancies. However, the contribution to the chemoresistance of DDR2 in terms of the association with collagens remains largely unclear in breast cancer. Methods: We immunolocalized DDR2 and collagen type I in 224 breast cancer tissues and subsequently conducted in vitro studies to confirm the role of DDR2 in breast cancer chemoresistance using chemosensitive and chemoresistant cell lines. Results: DDR2 immunoreactivity was positively correlated with aggressive behaviors of breast cancer and was significantly associated with an increased risk of recurrence, especially in those who received chemotherapy. Moreover, in vitro experiments demonstrated that DDR2 promoted the proliferative activity of breast cancer cells, and cell viability after epirubicin treatment was significantly maintained by DDR2 in a collagen I-dependent manner. Conclusions: These data suggested that DDR2 could be a poor prognostic factor associated with cell proliferation and chemotherapy resistance in human breast cancer.

A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level

BACKGROUND

The growth and drug response of tumors are influenced by their stromal composition, both in vivo and 3D-cell culture models. Cell-type inherent features as well as mutual relationships between the different cell types in a tumor might affect drug susceptibility of the tumor as a whole and/or of its cell populations. However, a lack of single-cell procedures with sufficient detail has hampered the automated observation of cell-type-specific effects in three-dimensional stroma-tumor cell co-cultures.

METHODS

Here, we developed a high-content pipeline ranging from the setup of novel tumor-fibroblast spheroid co-cultures over optical tissue clearing, whole mount staining, and 3D confocal microscopy to optimized 3D-image segmentation and a 3D-deep-learning model to automate the analysis of a range of cell-type-specific processes, such as cell proliferation, apoptosis, necrosis, drug susceptibility, nuclear morphology, and cell density.

RESULTS

This demonstrated that co-cultures of KP-4 tumor cells with CCD-1137Sk fibroblasts exhibited a growth advantage compared to tumor cell mono-cultures, resulting in higher cell counts following cytostatic treatments with paclitaxel and doxorubicin. However, cell-type-specific single-cell analysis revealed that this apparent benefit of co-cultures was due to a higher resilience of fibroblasts against the drugs and did not indicate a higher drug resistance of the KP-4 cancer cells during co-culture. Conversely, cancer cells were partially even more susceptible in the presence of fibroblasts than in mono-cultures.

CONCLUSION

In summary, this underlines that a novel cell-type-specific single-cell analysis method can reveal critical insights regarding the mechanism of action of drug substances in three-dimensional cell culture models.

The Multifaced Role of Collagen in Cancer Development and Progression

Collagen is a crucial protein in the extracellular matrix (ECM) essential for preserving tissue architecture and supporting crucial cellular functions like proliferation and differentiation. There are twenty-eight identified types of collagen, which are further divided into different subgroups. This protein plays a critical role in regulating tissue homeostasis. However, in solid tumors, the balance can be disrupted, due to an abundance of collagen in the tumor microenvironment, which significantly affects tumor growth, cell invasion, and metastasis. It is important to investigate the specific types of collagens in cancer ECM and their distinct roles in tumor progression to comprehend their unique contribution to tumor behavior. The diverse pathophysiological functions of different collagen types in cancers illustrate collagen's dual roles, offering potential therapeutic options and serving as prognostic markers.

Assessing sarcoma cell cytoskeleton remodeling in response to varying collagen concentration

Sarcomas, rare malignant tumors of mesenchymal origin, are often underdiagnosed and have face diagnostic ambiguities and limited treatment options. The main objective of this study was to define the nanomechanical and biophysical properties of sarcoma cells, particularly examining how the cytoskeleton's remodeling and related cellular processes such as cell migration and invasion in response to environmental stimuli due to collagen content. Utilizing one murine fibrosarcoma and one osteosarcoma cell line we employed atomic force microscopy, immunostaining, advanced image processing, in vitro cellular assays, and molecular techniques to investigate cells' cytoskeleton remodeling in response to varying collagen concentration. Our study focused on how alterations in collagen content affects the cytoskeletal dynamics and correlate with changes in gene expression profiles relevant to metastasis and an aggressive cancer phenotypes. Our findings indicate that despite their shared classification, fibrosarcoma and osteosarcoma cells display distinct biophysical properties and respond differently to mechanical forces. Notably, this difference in cellular behavior renders mechanical properties a potent novel biomarkers. Furthermore, the metastasis-related identified genes related to metastatic capability, could be potential therapeutic targets. This study highlights the significance of understanding the unique traits of sarcoma cells to improve diagnostic precision and expand therapeutic strategies, for this rare type of cancer.

Comparative evaluation of collagen modifications in breast cancer in human and canine carcinomas

New diagnostic and therapeutic approaches have been increasingly demanded due to the high morbidity and mortality associated with breast cancer. Recently, changes in the collagen fibres in mammary neoplasms have been shown to provide information that can be helpful for more accurate diagnosis. We aimed to conduct a comparative analysis of the tumour stroma in human and canine mammary neoplasms to assess the relationship between collagen modifications and the behaviour of carcinomas in both species, by multiphoton microscopy. We present a retrospective study of 70 cases of human mammary tumour and 74 cases of canine mammary tumour. We analysed sections stained with haematoxylin and eosin from 1,200 representative areas of normal mammary tissue, fibroadenoma, grade I invasive carcinoma, grade III invasive carcinoma and invasive micropapillary carcinoma in human species and 1,304 representative areas of normal mammary tissue, benign mixed tumour, mixed carcinoma, carcinosarcoma, invasive micropapillary carcinoma and solid carcinoma in canine species. We obtained that both human and canine mammary carcinomas present lower density of collagen fibres, higher density of cells and the collagen fibres are more aligned than in normal tissue. For human mammary carcinomas, the collagen fibres are more linear as compared to normal tissue. In addition, we demonstrated that the carcinomas with unfavourable prognosis present shorter collagen fibres, and these collagen changes correlate with the clinical and pathological data in human and canine species. For dogs, there is a correlation between the mean fibre length with the specific survival times. Thus, we demonstrate that dogs provide an excellent comparative perspective for studying how changes in the tumour stroma affect patient survival.