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Journal Archive

Cancer Research (1941-Present; volumes 1-current)

(ISSN 0008-5472) Published twice monthly since 1987. From 1941-1986, published monthly.

The American Journal of Cancer (1931-1940; volumes 15-40)

(ISSN 0099-7374) Published quarterly in 1931, bimonthly in 1932, and monthly from 1933 to 1940. The journal changed title to Cancer Research in 1941.

The Journal of Cancer Research (1916-1930); volumes 1-14)

(ISSN 0099-7013) Published quarterly from 1916 through 1930 (publication was suspended from November 1922 to March 1924). The journal changed title to The American Journal of Cancer in 1931.

Table of Contents

Breaking Insights

Review

Cancer Research Highlights

Genome and Epigenome

This multiethnic study links germline pathogenic variants in BRCA1, BRCA2, and ERCC2 to the development of second primary cancer in breast cancer survivors, providing biological insights and biomarkers to guide patient monitoring.

Metabolism and Chemical Biology

This study demonstrates that the key regulator of glutaminolysis, GLS2, can limit HCC in vivo by promoting ferroptosis through αKG-dependent lipid ROS, which in turn might lay the foundation for a novel therapeutic approach.

Altered glutamine metabolism induced by GOT2 loss supports HCC growth and metastasis but confers a targetable vulnerability to glutaminase inhibitors.

Molecular Cell Biology

Investigation of the molecular features of ductal carcinoma in situ at single cell resolution provides new insights into breast cancer biology and identifies candidate therapeutic targets and diagnostic biomarkers.

This work shows that phosphorylation of And-1 by ATR activates Fanconi anemia signaling at interstrand crosslink–stalled replication forks by recruiting the FANCM/FAAP24 complex, revealing And-1 as a potential therapeutic target in cancer.

This study suggests that cells need to inactivate mTOR to survive nutrient stress, which could explain the rarity of mTOR mutations and the limited clinical activity of mTOR inhibitors in cancer.

Tumor Biology and Immunology

This study shows that spatial characterization can address the challenge of finding efficient biomarkers, revealing that localization of macrophages and T cells in melanoma predicts patient response to ICI.

This work identifies a novel lipid–associated macrophage subpopulation with immune suppressive functions, offering new leads for therapeutic interventions in triple-negative breast cancer.

Cross-talk between T cells and macrophages regulates cancer cell PIM2 expression to promote cancer aggressiveness, revealing translational approaches to improve response to ICB in hepatocellular carcinoma.

β2-microglobulin signaling in glioblastoma cells activates a PI3K/AKT/MYC/TGFβ1 axis that maintains stem cells and induces M2-like macrophage polarization, highlighting potential therapeutic strategies for targeting tumor cells and the immunosuppressive microenvironment in glioblastoma.

Translational Science

This co-clinical trial of combined MEK-CDK4/6 inhibition in RAS mutant colorectal cancer demonstrates therapeutic efficacy in patient-derived xenografts and safety in patients, identifies biomarkers of response, and uncovers targetable mechanisms of resistance.

This work demonstrates that constitutive activation of ATM in chemotherapy-refractory ALT cancer cells renders them hypersensitive to reactivation of p53 function by APR-246, indicating a potential strategy to overcome therapeutic resistance.

This study proposes inhibition of cyclin-dependent kinases as a clinically translatable combinatorial strategy to enhance the efficacy of oncolytic virotherapy in GBM.

This study utilizes functional genetic and pharmacological profiling of KRAS-mutant pancreatic adenocarcinoma to identify therapeutic strategies and finds that TFIIH inhibition synergizes with TRAIL to induce apoptosis in KRAS-driven pancreatic cancer.

Convergence and Technologies

Integrating MRI data with biologically based mathematical modeling successfully predicts breast cancer response to chemotherapy, suggesting digital twins could facilitate a paradigm shift from simply assessing response to predicting and optimizing therapeutic efficacy.

Retractions

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