AACR Journals
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The American Association for Cancer Research’s 10 peer-reviewed journals provide a renowned, respected forum for publishing the most innovative cancer science, encompassing the full spectrum of basic, translational, clinical, and epidemiological research.
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The authors report safety, tolerability, and efficacy data on sapanisertib in combination with metformin in patients with advanced solid tumors and mTOR/AKT/PI3K pathway alterations.

Read the latest Clinical Research and Trials articles: buff.ly/H3NDXiv
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Up next in our Article Showcase is a featured selection from Eileen M. O’Reilly, Senior Editor of Clinical Research and Trials: “Sapanisertib plus Metformin in Metastatic Solid Tumors” buff.ly/RlwT75M
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Sign up to receive alerts directly to your inbox to keep up with the latest published issues: buff.ly/O6OYSDp
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The authors explore a novel two-cutoff approach that allows for splitting of patients when a non-monotonic relationship is present, modeling more complex relationships of TMB to outcome data.

Read the latest Precision Medicine and Biomarkers articles: buff.ly/MhmDeBX
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The next featured selection in our Article Showcase is from Jakob N. Kather, Senior Editor of Precision Medicine and Biomarkers: “Characterization of Non-Monotonic Relationships between Tumor Mutational Burden and Clinical Outcomes” buff.ly/yheXp2g @jnkt.bsky.social
aacrjournals.bsky.social
The authors developed an ADC that targets fibroblast activation protein (FAP) and sought to understand the mechanism behind FAP-targeted therapies.

Read the latest Therapeutic Research and Development articles: buff.ly/DuaSTEm
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Next up in our Article Showcase is a featured selection from Alex Sparreboom, Senior Editor of Therapeutic Research and Development: “Mechanistic Characterization of CAF Depletion via an ADC Targeting Fibroblast Activation Protein” buff.ly/RuStSV4
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In this recent Cancer Immunology Research article, the authors show that elevated infiltration of SPP1+ TAMs is related to worse response to immunotherapy and to dysfunction of CD8+ T cells in ccRCC. The data suggest SPP1 as a potential therapeutic target in ccRCC.

Read more: buff.ly/kC0UJ7y
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Cancer Research Communications:

Methylation-Based ctDNA Tumor Fraction Changes Predict Long-Term Clinical Benefit From Immune Checkpoint Inhibitors in RADIOHEAD, a Real-World Pan-Cancer Study buff.ly/MOdpRuh
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Molecular Cancer Therapeutics:

The Discovery and Characterization of HBS-101, a Novel Inhibitor of Midkine, as a Therapeutic Agent for the Treatment of Triple-Negative Breast Cancer buff.ly/gr907TU
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Molecular Cancer Research:

Mitochondrial HSP90 Paralog TRAP1 Deletion Drives Glutamine Addiction in Tumor Cells via Destablization of the Cys/Glu Antiporter SLC7A11/xCT buff.ly/tuj6j8Y
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Clinical Cancer Research:

Cemiplimab for Secondary Angiosarcomas buff.ly/7JJLfp6

Tarlatamab in Neuroendocrine Prostate Cancer buff.ly/DmfN9QR
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Cancer Research:

Dietary Fiber Lacks a Consistent Effect on Immune Checkpoint Blockade Efficacy Across Diverse Murine Tumor Models buff.ly/8wlFWnG

Adaptive Therapy Exploits Fitness Deficits in Chemotherapy-Resistant Ovarian Cancer to Achieve Long-Term Tumor Control buff.ly/mRR1JJ4
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Cancer Prevention Research:

CervicalMethDx: A Precision DNA Methylation Test to Identify Risk of High-Grade Intraepithelial Lesions in Cervical Cancer Screening Algorithms buff.ly/istUE7m
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Cancer Immunology Research:

Discovery of BMS-986408, a First-In-Class Dual DGKα and DGKζ Inhibitor that Unleashes PD-1 Checkpoint and CAR T-cell Immunotherapies buff.ly/h0T7Ee9
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Cancer Epidemiology, Biomarkers and Prevention:

The Effect of Circulating Proteins and Their Role in Mediating Adiposity’s Effect on Endometrial Cancer Risk: Mendelian Randomization and Colocalization Analyses buff.ly/Ri1cjGE
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Cancer Discovery: Detection of Cancers Three Years prior to Diagnosis Using Plasma Cell-Free DNA buff.ly/ugnsVZI
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Blood Cancer Discovery:

Genetic and Phenotypic Correlates of Clinical Outcomes with Venetoclax in Acute Myeloid Leukemia: The GEN-PHEN-VEN Study buff.ly/YwiQh3j
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Joseph C. Murray, MD, PhD, recipient of the 2025 Clinical Cancer Research Early Career Award, speaks about the questions that drive his research. To learn more, watch the full interview: buff.ly/fa085VG
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This exemplary article illustrates upcoming implications of large language models (LLMs) in cancer research, using retrieval-augmented LLMs to discover novel drug targets.

Read the latest Emerging Technologies and Data Science articles: buff.ly/rOtAuql
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Up next in our Article Showcase is a featured selection from Ankur Sharma, Senior Editor of Emerging Technologies and Data Science: “Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models” buff.ly/GIXOuTN
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Selecting Optimized Dosages for Registrational Trials buff.ly/aOvVYtY

Highlights successful applications of and relevant considerations for innovative trial designs and model-based approaches to aid the selection of better optimized dosages for evaluation in registrational clinical trials.