外泌体在胰腺癌中的研究现状与进展

外泌体是一种双层脂质膜连接囊泡样小体，存在于各种体液中，参与细胞及肿瘤微环境之间的物质运输和信号传递。外泌体含有多种生物活性分子，包括脂质、蛋白质、DNA、mRNA以及非编码RNA，可以通过这些活性分子影响肿瘤的发生和发展，甚至可以影响肿瘤的治疗。胰腺癌是一种常见的恶性肿瘤，侵袭性强，预后较差，死亡率高。胰腺癌来源的外泌体是胰腺肿瘤微环境中的重要组成部分，促使胰腺癌细胞成功逃避细胞凋亡的重要因素，并且可以促进肝脏转移微环境的形成。近年来，与胰腺癌相关的外泌体逐渐成为新的研究热点，研究发现外泌体有望成为早期胰腺癌筛查的新型生物学标志，并将为胰腺癌靶向治疗提供可行的技术基础。     

Carcinoma-associated fibroblasts: orchestrating the composition of malignancy

The tumor stroma is no longer seen solely as physical support for mutated epithelial cells but as an important modulator and even a driver of tumorigenicity. Within the tumor stromal milieu, heterogeneous populations of fibroblast-like cells, collectively termed carcinoma-associated fibroblasts (CAFs), are key players in the multicellular, stromal-dependent alterations that contribute to malignant initiation and progression. This review focuses on novel insights into the contributions of CAFs to disease progression, emergent events leading to the generation of CAFs, identification of CAF-specific biomarkers predictive of disease outcome, and recent therapeutic approaches aimed at blunting or reverting detrimental protumorigenic phenotypes associated with CAFs.     

Exploring a 7-gene prognostic model based on ferroptosis for efficiently guiding immunotherapy in melanoma patients

PurposeAlthough skin cutaneous melanoma (SKCM) is a relatively immunotherapy-sensitive tumor type, there is still a certain fraction that benefits less from treatment. Ferroptosis has been demonstrated to modulate tumor progression in many cancer types. This study focused on ferroptosis-related genes to construct a prognostic model for SKCM patients.Materials and methodsGene expression profiles of SKCM samples were obtained from public databases. Unsupervised consensus clustering was used to determine molecular subtypes related to ferroptosis. Least absolute shrinkage and selection operator (LASSO) and stepwise Akaike information criterion (stepAIC) were applied to construct a prognostic model based on differentially expressed genes between two molecular subtypes.ResultsC1 and C2 subtypes were identified with differential prognosis and immune infiltration. A 7-gene prognostic model was constructed to classify samples into high-FPRS and low-FPRS groups. Low-FPRS group with favorable prognosis had higher immune infiltration and more enriched immune-related pathways than the high-FPRS group. The two groups showed distinct sensitivity to immunotherapy, with the low-FPRS group predicted to have more positive response to immunotherapy than the high-FPRS group. A nomogram based on the FPRS score and clinical features was built for more convenient use.ConclusionsThe critical role of ferroptosis involved in SKCM development was further validated in this study. The prognostic model was efficient and stable to be applied in clinical conditions to support clinicians in determining personalized therapy for SKCM patients especially those with metastasis.     

肿瘤微环境中外泌体在肿瘤发生发展中作用及机制

外泌体(exosomes)是直径在30~100 nm,内含RNA、脂质和蛋白质的纳米级囊泡,来源于细胞内溶酶体微粒内陷形成的多囊泡体,与细胞膜融合后释放到胞外,是肿瘤微环境中细胞间通讯和遗传物质的重要载体。肿瘤在发生、发展过程中可通过外泌体与肿瘤微环境中的免疫细胞、内皮细胞和肿瘤相关成纤维细胞之间相互作用从而促进肿瘤的进展,其携带蛋白质、脂质和核酸等内容物释放到细胞外随着体液运输改变肿瘤微环境、促进肿瘤细胞增殖、加快血管形成及促进癌症发展;肿瘤微环境是由肿瘤细胞、巨噬细胞、成纤维细胞及细胞外基质等共同构成的局部稳态环境,在癌症的发生、复发、转移和化疗耐药等过程中发挥重要的作用。本综述着重讨论外泌体的生物学特性及对肿瘤微环境的影响,为研究及诊断治疗肿瘤提供新的思路。     

Pancreatic stellate cells: Aiding and abetting pancreatic cancer progression

Tumour-stromal interactions have now been acknowledged to play a major role in pancreatic cancer (PC) progression. The abundant collagenous stroma is produced by a specific cell type in the pancreas-the pancreatic stellate cell (PSC). Pancreatic stellate cells (PSCs) are a unique resident cell type of pancreas and with a critical role in both healthy and diseased pancreas. Accumulating evidence indicates that PSCs interact closely with cancer cells as well as with other cell types of the stroma such as immune cells, endothelial cells and neuronal cells, to set up a growth permissive microenvironment for pancreatic tumours, which facilitates local tumour growth as well as distant metastasis. Consequently, recent work in the field has focused on the development of novel therapeutic approaches targeting the stroma to inhibit PC progression. Such a multi-pronged approach targeting both tumour and stromal elements of PC has been successfully applied in pre-clinical settings. The challenge now is to translate the pre-clinical findings into the clinical setting to achieve better outcomes for pancreatic cancer patients.     

Oncogenic collagen I homotrimers from cancer cells bind to α3β1 integrin and impact tumor microbiome and immunity to promote pancreatic cancer

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Interrogating the microenvironmental landscape of tumors with computational image analysis approaches

The tumor microenvironment is an interacting heterogeneous collection of cancer cells, resident as well as infiltrating host cells, secreted factors, and extracellular matrix proteins. With the growing importance of immunotherapies, it has become crucial to be able to characterize the composition and the functional orientation of the microenvironment. The development of novel computational image analysis methodologies may enable the robust quantification and localization of immune and related biomarker-expressing cells within the microenvironment. The aim of the review is to concisely highlight a selection of current and significant contributions pertinent to methodological advances coupled with biomedical or translational applications. A further aim is to concisely present computational advances that, to our knowledge, have currently very limited use for the assessment of the microenvironment but have the potential to enhance image analysis pipelines; on this basis, an example is shown for the detection and segmentation of cells of the microenvironment using a published pipeline and a public dataset. Finally, a general proposal is presented on the conceptual design of automation-optimized computational image analysis workflows in the biomedical and clinical domain.