Nature Cancer is Nature's cancer-specific research journal, launched in 2020, spanning basic biology to translational and clinical cancer studies.
Nature Cancer (Nat Cancer) is Nature's cancer-specific research journal, launched in 2020, appearing monthly and published by Springer Nature on a hybrid access model. It spans basic biology to translational and clinical cancer studies, publishing tumour biology, immuno-oncology, computational and AI methods for cancer, and early-phase trial correlative science, with a deliberate remit to cover health-policy and access issues as well. Its readers are cancer researchers across the basic-to-clinical spectrum. Within OnCo it has its own Nature Cancer source feed and is linked from the biographies of Todd Golub and Jakob Nikolas Kather, and it is where a reader would look for computational and AI cancer methods and correlative trial science.
A second publication from the GEMSTONE-302 trial, later than the first and described in its title as an update or longer-term analysis. Read it with the primary publication linked from the trial page; the record was linked automatically and its figures have not been checked by hand.
One technology page on OnCo cites this paper by its DOI; this record gives the citation a page of its own so a reader can follow it without leaving OnCo. Read the abstract above alongside the citing page listed under Related; the record was created automatically from the Europe PMC entry and its figures have not been checked by hand.
One of the most cited papers Europe PMC returns for Antoine Italiano at Institut Bergonié, so it is a natural starting point for reading their work. The record was linked automatically from the author list and affiliation; read the abstract above and the paper itself before relying on any figure.
It joins the pathology (adenosquamous), the transcriptome (basal-like) and the genome (KDM6A, MYC) into one account of the chemotherapy-resistant subtype, and shows a single biopsy can miss it.
Bordeaux oncologist who led CABONE, the trial that showed cabozantinib shrinks or stabilises osteosarcoma and Ewing sarcoma after standard treatment has failed.
Gynaecological oncologist at the Medical University of Vienna and ABCSG Vice-President, known for work on breast cancer and hereditary cancer risk.
Showed that deep learning can read genetic features like microsatellite instability directly from routine pathology slides.
Haematologist-oncologist and Deputy Medical Director at University Hospital Düsseldorf, known for drug-response profiling in lymphoma and leukaemia.
Showed that gene expression could classify cancers, then built the Broad into the engine of cancer genomics.
A second publication from the GEMSTONE-302 trial, later than the first and described in its title as an update or longer-term analysis. Read it with the primary publication linked from the trial page; the record was linked automatically and its figures have not been checked by hand.
One technology page on OnCo cites this paper by its DOI; this record gives the citation a page of its own so a reader can follow it without leaving OnCo. Read the abstract above alongside the citing page listed under Related; the record was created automatically from the Europe PMC entry and its figures have not been checked by hand.
One of the most cited papers Europe PMC returns for Antoine Italiano at Institut Bergonié, so it is a natural starting point for reading their work. The record was linked automatically from the author list and affiliation; read the abstract above and the paper itself before relying on any figure.
It joins the pathology (adenosquamous), the transcriptome (basal-like) and the genome (KDM6A, MYC) into one account of the chemotherapy-resistant subtype, and shows a single biopsy can miss it.