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Issues

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 Landmarks

Cancer Research Highlights

Genome and Epigenome

Analysis of whole-exome sequencing data uncovers correlations between clonal hematopoiesis and lung cancer risk factors, identifies genetic variants correlated with clonal hematopoiesis, and highlights hundreds of potential novel clonal hematopoiesis mutations.

Molecular Cell Biology

This study identifies that RB loss in prostate cancer drives cooperation between AR and E2F1 as coregulators of transcription, which is linked to the progression of advanced disease.

Tumor Biology and Immunology

The BAFF cytokine regulates monocytes in the melanoma microenvironment to suppress tumor growth, highlighting the importance of BAFF in antitumor immunity.

Translational Science

Chemotherapy induces prometastatic pulmonary ECM remodeling by upregulating LOX in T cells, which can be targeted with LOX inhibitors to suppress metastasis.

FGFR pathway activation inhibits IFNγ signaling in tumor cells, and FGFR inhibition with lenvatinib enhances antitumor immunity and the activity of anti-PD-1 antibodies.

The kinase inhibitor ceritinib synergizes with PARPi to induce tumor regression in ovarian cancer models, suggesting that ceritinib combined with PARPi may be an effective strategy for treating ovarian cancer.

Convergence and Technologies

An end-to-end pipeline for deep learning–assisted computational 3D histology analysis of whole prostate biopsies shows that nondestructive 3D pathology has the potential to enable superior prognostic stratification of patients with prostate cancer.

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