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Cancers MDPI

@cancers-mdpi.bsky.social
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Cancers (IF: 4.8, ISSN 2072-6694) an international #openaccess journal addressing both clinical and basic science issues related to #cancer research.

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Cancers MDPI @cancers-mdpi.bsky.social · 30/09/2026
🤗Meet Us at the 27th #IPOS World Congress! Date🗓️: 9–12 Nov 2026 Location📍: Barcelona, Spain Booth🪧: #1 More details🔗: www.mdpi.com/about/announ... #CancersMDPI #MDPIconference #PsychoOncology #survivorship #PalliativeCare #DigitalHealth #CancerCare #IPOS2026 @ipospsychooncol.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 30/09/2026
🏅Editor's Choice #Survival Impact of Textbook Oncological Outcomes and SDHs for Patients with Operable #EsophagealCancer 🧑‍⚕️by Ahmed Alnajar, Nestor Villamizar et al. Welcome to read here🔗 www.mdpi.com/2072-6694/18... #SurgicalQuality #SurvivalDisparities
Figure 2. KM Curves by SDH status, stratified by TOO and stage (8 panels). Footnote: Panels (A–D) depict overall survival among patients who achieved textbook oncological outcomes (TOO+) stratified by SDH status (favorable [+] vs. unfavorable [−] SDH) for Stage I (A), Stage II (B), Stage III (C), and Stage IVa (D) esophageal cancer.
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Cancers MDPI @cancers-mdpi.bsky.social · 29/09/2026
🎯Editor's Choice A Narrative Review of European Registries for #SkinCancer: Where Are We and Where Should We Be? ✍️ By Alexander Katalinic, Karima Hammas et al. Citations: 6✅ Find out more👉 www.mdpi.com/2072-6694/18... #CancerRegistration #incidence #melanoma
Figure 1. Coverage of cancer registration in Europe in 2025, based on the ENCR-associated registries list. Source: European Network of Cancer Registries
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Cancers MDPI @cancers-mdpi.bsky.social · 28/09/2026
🌟We are delighted to share some highly cited #SpecialIssues in 2025 related to "Cancer Therapy" in Cancers (ISSN 2072-6694)! 🔎Explore them at the link: www.mdpi.com/journal/canc... #CancerTherapy #Oncology #Management #Surgery
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Cancers MDPI @cancers-mdpi.bsky.social · 28/09/2026
📢Meet us at the 𝟐𝟎𝟐𝟔 𝐇𝐮𝐦𝐚𝐧 𝐏𝐫𝐨𝐭𝐞𝐨𝐦𝐞 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐖𝐨𝐫𝐥𝐝 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 #HUPO2026 ! 📆27 September–1 October 2026 🌏Singapore 📍Booth #242 🔗 2026.hupo.org #MDPIConference #CancersMDPI #OncologyResearch #proteome #proteomics @hupo-org.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 28/09/2026
🥳We are pleased to announce that Prof. Dr. Tadeusz Robak has been appointed as the Section Editor-in-Chief of "Cancer Therapy"! 📰Check out the short Q&A, including his vision for the journal and views on the research area and open-access publishing: www.mdpi.com/about/announ... #CancerTherapy
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Cancers MDPI @cancers-mdpi.bsky.social · 24/09/2026
👏Thrilled to share our highly cited #SpecialIssues in 2025 related to cancer #informatics and #BigData in Cancers! Explore them by clicking the link👉 www.mdpi.com/about/announ... #bioinformatics #ArtificialIntelligence #biostatistics #sequencing
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Cancers MDPI @cancers-mdpi.bsky.social · 24/09/2026
📸We are at the 85th Annual Meeting of the Japanese Cancer Association! Welcome to our booth # N12 for communication🤗 🗓️24 Sep 2026 - 26 Sep 2026 📍Kyoto, Japan 🔗 www.c-linkage.co.jp/jca2026/en/p... #CancersMDPI #OncologyResearch #MDPIJapan #JapaneseCancerAssociation
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Cancers MDPI @cancers-mdpi.bsky.social · 23/09/2026
👏We are proud to welcome 18 new Editorial Board Members to Cancers (August 2026). Wishing our new EBMs huge success in their research and journal contributions! 🌟 🔗Read more: www.mdpi.com/about/announ... #CancersMDPI #Oncology #Research #OpenAccess
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Cancers MDPI @cancers-mdpi.bsky.social · 23/09/2026
📣Check out some highly cited #SpecialIssues in 2025 related to our section "Tumor Microenvironment" Explore here🔎 www.mdpi.com/about/announ... #TumorMicroenvironment #metastasis #angiogenesis #IntercellularCommunication @mdpiopenaccess.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 22/09/2026
🌟We are delighted to share some highly cited #SpecialIssues in 2025 related to Section "Cancer #Epidemiology and #Prevention" in Cancers Click the link below📌 www.mdpi.com/about/announ... #CancerPrevention #CancerRisk #PublicHealth #CancersMDPI @mdpiopenaccess.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 21/09/2026
👏Thrilled to share our highly-cited #SpecialIssues in 2025 Related to Cancer #Biomarkers! Explore here🔎 www.mdpi.com/about/announ... #CancerBiomarker #markers #predictor #oncology
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Cancers MDPI @cancers-mdpi.bsky.social · 20/09/2026
🔥Excited to sponsor the 37th Annual Meeting of the European Society for #Hyperthermic Oncology ( #ESHO)! Meet in Erlangen to discover groundbreaking advancements and engage with leading experts. 🗓Oct 4–6, 2026 📍Erlangen, Germany 🔗Event details: esho-congress.eu #HyperthermicOncology #ThermalTherapy
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Cancers MDPI @cancers-mdpi.bsky.social · 18/09/2026
📢Check out the highly cited #SpecialIssues in 2025 related to “Cancer Drug Development” Link to the collection🔗 www.mdpi.com/about/announ... #CancerDrug #resistance #TargetedDrugs #DrugDiscovery
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Cancers MDPI @cancers-mdpi.bsky.social · 18/09/2026
🗂️We are delighted to share some highly cited #SpecialIssues in 2025 in the "Clinical Research in Cancer" Section in Cancers Explore them via this link👉 www.mdpi.com/about/announ... #ClinicalResearch #ClinicalOutcome #TranslationalResearch #CancersMDPI
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Cancers MDPI @cancers-mdpi.bsky.social · 17/09/2026
🧬Spatial #Transcriptomics in #LungCancer and Pulmonary Diseases: A Comprehensive Review 🧑‍🔬by Da Hyun Kang, Yoonjoo Kim et al. from Chungnam National University 📊Cited 19 times! Read it here🔗 www.mdpi.com/2072-6694/17... #SpatialTranscriptomics #PulmonaryDisease #TumorMicroenvironment
Figure 4. Spatial transcriptomic signatures across pulmonary diseases: cellular niches and molecular pathways.
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Cancers MDPI @cancers-mdpi.bsky.social · 17/09/2026
🎯Editor's Choice Paper #Immunotherapeutic Strategies for #ProstateCancer: A Comprehensive Review ✍️Ana K. Flores-Islas, Cecilia Rico-Fuentes et al. Find out more🖇️ www.mdpi.com/2072-6694/18... #PCa #ICIs #mCRPC
Figure 1. PCa tumor immune microenvironment (TIME). An immunosuppressive environment and Immunological ignorance characterize TIME in PCa tumors; some of the most relevant immune cells are effector Treg cells (eTreg), CD8+ T cells, M2 tumor-associated macrophages (TAMs), CD4+ T-cells, and myeloid-derived suppressor cells (MDSCs). Tumor-associated antigens and tumor-specific antigens can be used as diagnostic, prognostic/treatment, or research tools in PCa. PSA: Prostate-specific antigen; PSMA: Prostate-specific membrane antigen; PAP: Prostate acid phosphatase; PSCA: Prostate stem cell antigen; STEAP: Six-transmembrane epithelial antigens of the prostate; PCA3: Prostate cancer antigen 3.
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Cancers MDPI @cancers-mdpi.bsky.social · 16/09/2026
🧩Editor's Choice Diagnostic Performance of Line-Field Confocal Optical Coherence Tomography for #BasalCellCarcinoma: A Prospective Study 🧑‍⚕️by Carmen Orte Cano, Dilara Sanak et al. @ulbruxelles.bsky.social 5 citations so far✅ Unlock🔓 www.mdpi.com/2072-6694/18... #LCOCT #BCC #Diagnosis
Basal cell carcinoma (BCC) is the most common form of skin cancer worldwide. Although it is rarely life-threatening, it often develops on the face, which can cause significant aesthetic concerns for patients. Its high prevalence is also associated with substantial healthcare costs. Diagnosing and subtyping BCC is key to treatment choice—topical therapies can be used for superficial BCC, while deeper forms usually require surgery—but this process typically relies on invasive biopsy. Line-field confocal optical coherence tomography (LC-OCT) is a novel non-invasive “virtual biopsy” that supports diagnosis and subtyping. In this prospective, real-life study of equivocal lesions, LC-OCT improved diagnostic confidence and showed greater accuracy than dermoscopy. The main diagnostic pitfall was confusion with sebaceous glands, while subtyping challenges included superficial trabeculated BCCs and BCC nodules extending beyond the LC-OCT’s field of view. These findings support LC-OCT as a bedside alternative to biopsies to guide treatment.
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Cancers MDPI @cancers-mdpi.bsky.social · 15/09/2026
🤗We were delighted to meet with our editors in person at #WCLC2026! Thank you for the insightful conversations and continued support in advancing high-quality research in lung cancer✨ #LungCancer #ThoracicOncology #CancersMDPI
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Cancers MDPI @cancers-mdpi.bsky.social · 15/09/2026
🌟Cancers highlights its highly cited 2025 #SpecialIssues on cancer #survivorship and #QualityofLife Explore them via the link below🔎 www.mdpi.com/about/announ... #PalliativeCare #QoL #SideEffect #CancersMDPI
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Cancers MDPI @cancers-mdpi.bsky.social · 14/09/2026
📢Discover our highly cited #SpecialIssues in #Cancers (2025) related to #molecular cancer biology! Find out them here📍 www.mdpi.com/journal/canc... #CancersMDPI #Oncology #CancerBiology #Genetics
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Cancers MDPI @cancers-mdpi.bsky.social · 14/09/2026
🎯Editor's Choice Integrative Single-Cell and Machine Learning Analysis Identifies a #Nucleotide Metabolism-Related Signature Predicting #Prognosis and Immunotherapy Response in LUAD 🧑‍🔬Shuai Zhao, Han Zhang et al. 🏫 Tianjin University, Tianjin Medical University 📎 www.mdpi.com/2072-6694/18...
Figure 1. Single-cell clustering, annotation, marker validation, and functional characterization. (A) UMAP visualization showing unbiased clustering of cells into distinct transcriptional populations. (B) Distribution of cells across individual samples, illustrating the contribution of each dataset to the integrated atlas. (C) Annotation of major cell lineages based on canonical marker genes, including T cells, B cells, NK cells, macrophages, monocytes, epithelial cells, fibroblasts, endothelial cells, mast cells, and proliferating cells. (D) Dot plot displaying representative marker genes for each cell type, with dot size indicating the proportion of expressing cells and dot color reflecting expression intensity. (E) Relative abundance of major cell types across patients. (F) Functional enrichment analysis of each annotated cell population, including GO Biological Process, KEGG pathways, and WikiPathway signatures.
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Cancers MDPI @cancers-mdpi.bsky.social · 14/09/2026
📸 Great catching up with so many esteemed researchers and experts in the lung cancer community at #WCLC2026! If you are at the conference, drop by booth #706 to connect with our team! ✨ #LungCancer #CancersMDPI #Oncology @iaslc.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 12/09/2026
Live from #WCLC26! 📸 Our team is all set at Booth #706. Drop by to connect, share insights, and discuss the latest in lung cancer research. We’d love to meet you! 💞 #IASLC #LungCancer #WCLC2026 @iaslc.bsky.social
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Cancers MDPI @cancers-mdpi.bsky.social · 12/09/2026
🗞️Revolutionizing #Oncology Through #AI: Addressing Cancer Disparities by Improving #Screening, #Treatment, and #Survival Outcomes via Integration of Social Determinants of Health ✍️AMIT KUMAR SRIVASTAV, Aryan Singh et al. @msmedu.bsky.social 👏23 citations! 🔎 www.mdpi.com/2072-6694/17...
Figure 1. AI integration with SDOH factors (human health, environmental health, and social factors) to address cancer health disparities.
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Cancers MDPI @cancers-mdpi.bsky.social · 11/09/2026
🧩Editor's Choice Challenges and Advances in the Detection of Leukemic Blasts in Cerebrospinal Fluid in #Pediatric Acute Lymphoblastic #Leukemia 🧑‍⚕️by Zhongbo Hu and Shuyu E 🔗 Link: www.mdpi.com/2072-6694/18... #cytomorphology #CNSLeukemia
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Cancers MDPI @cancers-mdpi.bsky.social · 10/09/2026
🏅Editor's Choice #Review #Lipid Metabolism Reprogramming in Diffuse Large B-Cell Lymphoma (#DLBCL): Mechanisms and Treatment Strategies 🧑‍🔬Yue-E Ding, Yi-Ran Zhong et al. Unlock🔓 www.mdpi.com/2072-6694/18... #lymphoma #metabolism #ImmuneMicroenvironment #ferroptosis
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Cancers MDPI @cancers-mdpi.bsky.social · 09/09/2026
📑Tumor-Agnostic Therapies in Practice: Challenges, Innovations, and Future Perspectives 👥Sulin Wu & Rajat Thawani (University of Chicago) Citations: 23👏 Link 📎 www.mdpi.com/2072-6694/17... 🔑Keywords: #drug development; phase 1 trials; tumor #agnostic trials #CancersMDPI #OncologyResearch
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Cancers MDPI @cancers-mdpi.bsky.social · 09/09/2026
🎯Editor's Choice! Management of Acute Myeloid #Leukemia: A Review 🧑‍⚕️by Chetan Jeurkar, Lana King et al. from @jeffersonuniv.bsky.social 📊 Cited 7 times Full text➡️ www.mdpi.com/2072-6694/18... #ALL #FLT3 #TP53
Figure 1. Schematic representation of the major molecular pathways driving leukemogenesis and targeted therapies in acute myeloid leukemia (AML). Black arrows indicate stimulation, red lines with stop bars indicate inhibition. (Left) In NPM1-mutated and KMT2A-rearranged AML, formation of the menin–KMT2A transcriptional complex leads to aberrant activation of HOX and MEIS1 genes, sustaining leukemic proliferation and differentiation arrest. Small-molecule menin inhibitors (e.g., revumenib, ziftomenib) disrupt this interaction and suppress oncogenic transcription. (Middle) In FLT3-mutated AML, internal tandem duplication (ITD) or tyrosine-kinase domain (TKD) mutations result in constitutive activation of FLT3 and downstream PI3K, RAS, and JAK signaling pathways, driving proliferation and survival. Targeted agents including type 1 inhibitors (midostaurin, gilteritinib) and type 2 inhibitors (quizartinib) block these pathways. (Right) In IDH-mutated AML, formation of the onco-metabolite 2-hydroxyglutarate (2HG) induces DNA hypermethylation and dependence on BCL2 survival related to cytochrome C oxidase inhibition, leading to AML.
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Cancers MDPI @cancers-mdpi.bsky.social · 08/09/2026
🧩Editor's Choice Burkitt #Lymphoma— A Guide to #Biological Features, Diagnosis and Differential #Diagnosis 🧑‍⚕️Ioannis Anagnostopoulos, Alberto Zamò et al. 🔑Keywords: Burkitt lymphoma; Epstein-Barr virus; #MYC rearrangement Click here👉 www.mdpi.com/2072-6694/18...
Figure 2. Representative morphology and immunophenotype of BL. (A) Low-power view shows a diffuse population of monomorphic lymphoid cells with a starry sky appearance.
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Cancers MDPI @cancers-mdpi.bsky.social · 07/09/2026
📖The Relationship Between #Response Rate and #Survival Benefits in Randomized #Immunotherapy Studies 📝by Aditi Jain and Justin Stebbing 🏫 @edinburgh-uni.bsky.social , @angliaruskin.bsky.social 📈12 citations Find out more👉 www.mdpi.com/2072-6694/17...
Figure 4. Optimal threshold for maximum survival benefit.
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Cancers MDPI @cancers-mdpi.bsky.social · 07/09/2026
🗞️Editor's Choice! #ExtracellularVesicle-Mediated Delivery of #Curcumin Suppresses Tumor Progression in Murine Oral Squamous Cell Carcinoma ✏️by Nils Ludwig, Carolin Feldmann, Silvia Spoerl and Saigopalakrishna S. Yerneni Link🔗 www.mdpi.com/2072-6694/18... #ECV #exosome #OSCC
Figure 1. Characterization of JsEV and curcumin-loaded JCsEV. (A) Particle size distribution and concentration profiles of JsEV and JCsEV determined by nanoparticle tracking analysis (NTA). Representative measurements demonstrate a predominant vesicle population within the expected size range of sEVs. (B) Representative transmission electron microscopy (TEM) images of JsEV and JCsEV showing typical cup-shaped vesicles with heterogeneous size distribution. Scale bars: 200 nm. (C) Western blot analysis of JsEV and JCsEV demonstrating the presence of canonical sEV markers (TSG101 and CD9) and the absence of the negative marker GRP94. Each lane was loaded with 5 µg protein. Curcumin loading was performed using a previously HPLC-validated protocol demonstrating a loading efficiency of 0.56 ± 0.01 µg curcumin per 1 µg albumin-EV [19].
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Cancers MDPI @cancers-mdpi.bsky.social · 04/09/2026
🔖Editor's Choice! Characterization of #HER2-Positive #Murine #BreastCancer Models for Investigating HER2-Targeted Therapy and Immunotherapy 👥by Yun Lu, Benjamin Lee et al. Unlock the full article🔓 www.mdpi.com/2072-6694/18... #CancersMDPI #CancerModel #trastuzumab #tucatinib
Figure 3. HER2-targeted therapy synergizes with immunotherapy in HER2-overexpressing (OE) tumors. (A) Tumor volume (left) and survival (right) curves for EO771-HER2YVMA and 4T1-HER2YVMA models treated with saline, anti-HER2 agents (TRA + TUC), ICB (αPD-1 and αCTLA-4), or combination therapy (anti-HER2 + ICB) as indicated by arrows. (B,C) Flow cytometry quantification of CD4+ (B) and CD8+ (C) T cells in EO771-HER2YVMA tumors on day 5. Mantel–Cox logrank test was used for survival analysis in (A). Two-way ANOVA with Bonferroni correction for multiple comparisons was used for (B,C). All data are shown as mean ± SD; * p < 0.05; ** p < 0.01.
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Cancers MDPI @cancers-mdpi.bsky.social · 03/09/2026
📌Editor's Choice Paper Current Treatment Standards for Metastatic #UvealMelanoma 🧑‍⚕️Paweł Rogala, Anna M. Czarnecka et al. 🗝️Keywords: uveal melanoma; #metastases; liver-directed therapy; #immunotherapy; tebentafusp; anti-PD1 Read here🔎 www.mdpi.com/2072-6694/18...
Figure 2. General rules of metastatic uveal melanoma management.
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Cancers MDPI @cancers-mdpi.bsky.social · 02/09/2026
🎯Editor's Choice #TFE3-Rearranged and TFEB-Altered #Renal Cell Carcinomas: Molecular Landscape and Therapeutic Advances 🧑‍⚕️by Mikel Portu Grive, Mario Balsa et al. Full text➡️ www.mdpi.com/2072-6694/18... #MiTRCC #GeneFusion #ICI #CancersMDPI
Figure 1. Integrated mechanistic model of MiT-RCC driven by TFE3 and TFEB alterations. In TFE3-rearranged RCC, most fusions join a 5′ partner gene to the 3′ portion of TFE3, preserving the C-terminal DNA-binding and dimerization domains and promoting constitutive nuclear activity; TFEB-rearranged tumors are driven by analogous transcriptional deregulation, whereas TFEB-amplified RCC is biologically distinct. These events activate a core MiT/TFE transcriptional program that rewires tumor cell metabolism and stress-adaptation pathways. In fusion-driven translocation RCC (tRCC), TFE3/TFEB fusions induce upregulation of PPARGC1A (PGC-1α), promoting mitochondrial biogenesis and increased dependency on oxidative phosphorylation (OXPHOS), which creates context-specific metabolic vulnerabilities. In parallel, sustained activation of the mTOR-lysosome axis enhances lysosomal biogenesis and autophagy, supporting tumor survival under metabolic stress and reflecting partial uncoupling of MiT/TFE activity from canonical nutrient-sensing control. Crosstalk with hypoxia signaling through the EGLN1 (PHD2)-HIF-1α axis enables adaptive metabolic switching and, in selected molecular contexts, promotes angiogenic signaling, providing a biological rationale for combined vascular endothelial growth factor (VEGF)-targeted and immune checkpoint inhibitor (ICI) therapies, particularly in angiogenic/stromal-high subtypes such as ASPSCR1::TFE3 tumors. Fusion partner identity shapes transcriptional programs, clinical behavior, and therapeutic responsiveness. A distinct inset highlights TFEB-amplified RCC, characterized by increased TFEB copy number within the 6p21 amplicon and frequent co-amplification of VEGFA (±CCND3), driving a highly angiogenic but biologically heterogeneous phenotype that is not obligatorily aligned with the OXPHOS-driven tRCC model. Arrows indicate proposed mechanistic relationships and downstream effects.
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Cancers MDPI @cancers-mdpi.bsky.social · 01/09/2026
🏅Editor's Choice Comprehensive Longitudinal Linear Mixed Modeling of #CTCs Illuminates the Role of #Trop2, #EpCAM, and #CD45 in CTC Clustering and Metastasis 👥Seth D. Merkley, Huining Kang et al. @unm.edu Link: www.mdpi.com/2072-6694/17... #LiquidBiopsy #Cytokeratin #CancersMDPI
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Cancers MDPI @cancers-mdpi.bsky.social · 31/08/2026
🎯Editor's Choice Circulating Inflammatory and Mitochondrial #Biomarkers Associated with #Cachexia in Advanced Non-Small Cell Lung Cancer ✍️by Kamya Sankar, Elham Kazemian et al. @cedarssinaicancer.bsky.social 🔎 www.mdpi.com/2072-6694/18... #NSCLC #MitochondrialDNA
Figure 1. (A) Study Cohort and Sample Selection Flow Diagram. Flow diagram depicting cohort selection from participants enrolled in the U.S. National Cancer Institute (NCI)-funded cohort study (U54CA260591). The final cohort included 27 patients with stage IV non-small cell lung cancer who had at least 2 plasma samples available. Cachexia prevalence was 25% at T1 and 22.7% at T2. (B) Study Timeline and Blood Collection Schema. Schematic representation of study timepoints and the interval between blood collections. Blood was obtained at enrollment, T1 and T2. The median time from enrollment to T1 was 41.5 days (Interquartile range (IQR): 27.75–91), and the median interval between T1 and T2 was 491 days (IQR: 283–903).
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Cancers MDPI @cancers-mdpi.bsky.social · 31/08/2026
🔖Editor's Choice Cancer-Associated #Fibroblast Heterogeneity Shapes #Prognosis and #Immune Landscapes in Head and Neck Squamous Cell Carcinoma 📝Hideyuki Takahashi, Hiroyuki Hagiwara et al. from Gunma University Open access🔗 www.mdpi.com/2072-6694/18... #HNSCC #CAFs
Figure 1. Identification and characterization of CAF subsets in HNSCC. (A) UMAP plot of fibroblasts isolated from CD45− cells showing 12 transcriptionally distinct clusters. (B) UMAP plot of six CAF subsets with their relative proportions within the fibroblast population: myCAF (32.5%), iCAF1 (19.2%), iCAF2 (14.0%), apCAF (1.1%), ecmCAF (14.1%), and merged other CAFs (CAF; 19.1%). (C) Heatmap showing the top 10 differentially expressed genes for each CAF subset. (D) Proportions of CAF subsets stratified by HPV status, anatomical site, and T stage. CAF, cancer-associated fibroblast; HNSCC, head and neck squamous cell carcinoma; UMAP, Uniform Manifold Approximation and Projection; HPV, human papillomavirus.
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Cancers MDPI @cancers-mdpi.bsky.social · 28/08/2026
📖 Analytical Validation and Clinical Sensitivity of the Belay Summit™ 2.0 Cerebrospinal Fluid #LiquidBiopsy Test—An Expanded Comprehensive #GenomicProfiling Platform for Central Nervous System Malignancies ✍️by Sakshi Khurana, Viriya Keo et al. Citations: 8 ✅ 🔗 www.mdpi.com/2072-6694/18...
Figure 1. Summit™ 2.0 workflow including the Chromosomal Arm-Level Aneuploidy [7] and the Belay Vantage assay [13] which have been previously validated. Summit™ 2.0 content showing the different variant types and biomarkers evaluated. SNVs, single nucleotide variants; MNVs, multi-nucleotide variants; Indels, insertions/deletions; CNVs, copy-number variants; TMB, tumor mutational burden; MSI, microsatellite instability.
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Cancers MDPI @cancers-mdpi.bsky.social · 27/08/2026
📜Evolving and Novel Applications of #ArtificialIntelligence in Cancer #Imaging ✏️Mustaqueem Pallumeera, Jonathan Giang et al. (Ohio State University, @neomededu.bsky.social, @osuwexmed.bsky.social) 👏Cited by 19 times Full text➡️ www.mdpi.com/2072-6694/17... #radiology #CancerImaging
Summary of the AI applications in cancer imaging in screening, diagnosis, and treatment.
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Cancers MDPI @cancers-mdpi.bsky.social · 27/08/2026
📑 #Curcumin and Its Derivatives in #Hepatology: Therapeutic Potential and Advances in #Nanoparticle Formulations ✍️by Ersin Karatayli, Shifana C. Sadiq et al. @uni-saarland.de 📈15 citations Read here👉 www.mdpi.com/2072-6694/17... #NaturalCompounds #TumorMicroenvironment #HCC
Figure 1. Main functions of curcumin and curcumin nanoparticle.
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Cancers MDPI @cancers-mdpi.bsky.social · 27/08/2026
🗞️Editor's Choice! Circulating Tumor DNA as Emerging Predictive and Prognostic #Biomarker in #ProstateCancer 📝by Bicky Thapa, Jacopo Venturini et al. 🏫 @danafarber.bsky.social, @scri.com & University of Florence Unlock🔓 www.mdpi.com/2072-6694/18... #ctDNA #NGS
Figure 1. Epigenomic approaches such as methylomics, fragmentomics, and chromatin immunoprecipitation-based assays are third-generation cfDNA detection technologies that capture structural and regulatory signals, including fragment length, methylation patterns, nucleosome footprints, and histone modifications. Leveraging these features may overcome the sensitivity limits of genomic-based methods, thus broadening the scalability of liquid biopsy.
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Cancers MDPI @cancers-mdpi.bsky.social · 26/08/2026
🎯Editor's Choice Paper Targeting the #TumorMicroenvironment in Triple-Negative Breast Cancer: Emerging Roles of #MonoclonalAntibodies and #ImmuneModulation ✍️by Stephanie Figueroa (@cornelluniversity.bsky.social), Niradiz Reyes et al. Available online: www.mdpi.com/2072-6694/18...
Graphical Abstract
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Cancers MDPI @cancers-mdpi.bsky.social · 25/08/2026
🧩Editor's Choice! #Metabolic Crosstalk in Triple-Negative Breast Cancer Lung #Metastasis: Differential Effects of #Vitamin D and E in a Co-Culture System ✍️by Balquees Kanwal, Saranya Pounraj, Rumeza Hanif and Zaklina Kovacevic Unlock🔓 www.mdpi.com/2072-6694/18... #TNBC #TumourMicroenvironment
Figure 1. (A) MDA-MB-231 and MRC-5 cells were co-cultured for 72 h and both cell lines were assessed via Western blot for CAF activation markers (α-SMA and FAP) and master metabolic regulators (HIF-1 α and c-Myc); (B) A schematic representation depicting HIF-1α as the master regulator of metabolism, regulating key metabolic pathways and showing its differential expression in cancer cells and fibroblasts within the co-culture system; (C) A general scheme of cellular energy metabolism is shown, highlighting key enzymes (indicated in boxes) whose expression levels were evaluated in the co-culture experiments. Co-cultures were assessed for (D) glutamine metabolic enzymes (GLUL, GDH and ASCT2); (E) TCA cycle enzymes (Aconitase, SDHA, CS, IDH2, fumarase and MPC2); (F) glycolysis and other metabolic enzymes (GLUT1, HKII, PKM2, LDHA, PDH, MCT1, and MCT4). (A,D–F) Results are represented as mean ± SD (n = 3). Significance relative to control cells: * p < 0.05, ** p < 0.01, *** p < 0.001.
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Cancers MDPI @cancers-mdpi.bsky.social · 25/08/2026
📑 #Endometrial Stromal Sarcoma: An Update 🧑‍⚕️by Giulio Ricotta, Silvio Andrea Russo et al. Citations: 10✅ Full text➡️ mdpi.com/2072-6694/17... #GynecologicOncology #UterineSarcoma
Figure 1. (A) Axial pelvic MRI image showing a hypointense endometrial mass with infiltrative margins in a patient with low-grade ESS (LG-ESS). (B) Sagittal pelvic MRI image highlighting endometrial thickening and myometrial infiltration in LG-ESS. (C) Axial MRI scan demonstrating extensive myometrial invasion and central necrosis in a case of high-grade ESS (HG-ESS). (D) Coronal MRI image depicting heterogeneous signal intensity with hemorrhagic and necrotic areas in HG-ESS. (E) PET-CT scan showing elevated FDG uptake in a metabolically active HG-ESS lesion.
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Cancers MDPI @cancers-mdpi.bsky.social · 24/08/2026
📑Real-Time #Intraoperative Decision-Making in #HeadandNeck Tumor Surgery: A Histopathologically Grounded Hyperspectral Imaging and Deep Learning Approach ✍️by Ayman Bali, Saskia Wolter et al. 📊Cited 11 times Full text➡️ mdpi.com/2072-6694/17...
Figure 1. Technical workflow from frozen sample to HSI-based and histological 3D models. Workflow involves two primary steps: HSI-based 3D reconstruction, and histopathological sectioning and annotating. (A) HNSCC sample is first imaged using the CE-marked TIVITA™ Mini hyperspectral imaging system. Approximately 100 hyperspectral image datacubes are acquired per sample, each at ~10° rotational increments at top, middle, and bottom perspectives. (B) Samples are then formalin-fixed, paraffin-embedded (FFPE), sectioned at a thickness of 10 µm, stained with hematoxylin and eosin (H&E), and scanned using a 40× digital microscope scanner. (C) From the hyperspectral data, red, green, and blue (RGB) images are generated for photogrammetric surface modeling. (D) Selected histological sections are manually annotated by pathologists, while remaining sections are annotated based on pathologist’s annotations using IKOSA Software v 5.1.1. All annotated sections are co-registered through an affine registration algorithm implemented in a custom Python script. (E) Hyperspectral-RGB data is used to produce a high-resolution 3D surface model via Apple’s Object Capture API. (F) The co-registered annotated sections are reconstructed into a volumetric annotated histological 3D model.
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Cancers MDPI @cancers-mdpi.bsky.social · 24/08/2026
🏅Editor's Choice Triple-Negative #BreastCancer Brain #Metastasis: A Comprehensive Review of #Epidemiology, Molecular #Pathobiology, and #Therapeutic Frontiers ✍️by Hongli Yang, Yang Zhao et al. Link🔗 mdpi.com/2072-6694/18... #TNBC #BrainMetastases #Oncology
Graphical Abstract
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Cancers MDPI @cancers-mdpi.bsky.social · 21/08/2026
🔖Editor's Choice #Marrow Microenvironmental Pathobiology and Therapeutic Opportunities for #TP53-Mutated #Myelodysplastic Syndrome/Acute Myeloid #Leukemia 📝by Cameron J. Hunter, Annie P. Im & Rory M. Shallis 🏫 @upmc.com @moffittnews.bsky.social Full text➡️ mdpi.com/2072-6694/18...
Figure 1. The main domains of the p53 protein.
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Cancers MDPI @cancers-mdpi.bsky.social · 20/08/2026
🏅Editor’s Choice! #LncRNAs at the Crossroads of Precision #Nutrition and Cancer #Chemoprevention ✍️by Camelia Munteanu, Revathy Nadhan et al. Link🔗 mdpi.com/2072-6694/18... 📌Keywords: precision nutrition; #cancer; #phytochemicals
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Cancers MDPI @cancers-mdpi.bsky.social · 20/08/2026
📜 #Immunohistochemistry for Skin Cancers: New Insights into Diagnosis and Treatment of #Melanoma ✍️by Vlad-Mihai Voiculescu, Alina-Ioana Popescu and Mariana Costache Citations: 19👏 Open access🔓 mdpi.com/2072-6694/17... #CutaneousMelanoma #SkinCancer
Figure 1. PRISMA 2020 flowchart illustrating the study selection process.
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