ReviewJournal of translational medicine2011
An immunologic portrait of cancer.
Review in Journal of translational medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 95 citations in OpenAlex.
- Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma.Nature communications · 2021Trial
- Propionate promotes CD8Journal for immunotherapy of cancer · 2026Article
- Flow cytometry immune profiling of recurrent and newly diagnosed growth hormone secreting pituitary neuroendocrine tumors: comparison of two clinical cases.BMC endocrine disorders · 2025Article
- TGF-β mRNA levels in circulating extracellular vesicles are associated with response to anti-PD1 treatment in metastatic melanoma.Frontiers in molecular biosciences · 2024Article
- Novel Criteria for Intratumoral Budding with Prognostic Relevance for Colon Cancer and Its Histological Subtypes.International journal of molecular sciences · 2021Article
- Non-conventional Inhibitory CD4Cancer cell · 2018Article
- CXCL13-producing TFH cells link immune suppression and adaptive memory in human breast cancer.JCI insight · 2017Article
- Oncolytic virus synergizes with Smac mimetic compounds to induce rhabdomyosarcoma cell death in a syngeneic murine model.Oncotarget · 2017Article
- Nuclear IRF-1 expression as a mechanism to assess "Capability" to express PD-L1 and response to PD-1 therapy in metastatic melanoma.Journal for immunotherapy of cancer · 2017Article
- Article
- Correlation of Apobec Mrna Expression with overall Survival and pd-l1 Expression in Urothelial Carcinoma.Scientific reports · 2016Article
- Intratumoral CD3 and CD8 T-cell Densities Associated with Relapse-Free Survival in HCC.Cancer immunology research · 2016Article
- Multicolor Immunofluorescent Imaging of Complex Cellular Mixtures on Micropallet Arrays Enables the Identification of Single Cells of Defined Phenotype.Advanced healthcare materials · 2016Article
- Differential regulation and function of tumor-infiltrating T cells in different stages of breast cancer patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Article
- TGFβ Is a Master Regulator of Radiation Therapy-Induced Antitumor Immunity.Cancer research · 2015Article
- Article
- Intratumoral INF-γ triggers an antiviral state in GL261 tumor cells: a major hurdle to overcome for oncolytic vaccinia virus therapy of cancer.Molecular therapy oncolytics · 2015Article
- Melanoma: From Incurable Beast to a Curable Bet. The Success of Immunotherapy.Frontiers in oncology · 2015Review
- Direct T cell-tumour interaction triggers TH1 phenotype activation through the modification of the mesenchymal stromal cells transcriptional programme.British journal of cancer · 2014Article
- Impact of carbon nanotubes and graphene on immune cells.Journal of translational medicine · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 4 countries.
Funding
Abstract
The advent of high-throughput technology challenges the traditional histopathological classification of cancer, and proposes new taxonomies derived from global transcriptional patterns. Although most of these molecular re-classifications did not endure the test of time, they provided bulk of new information that can reframe our understanding of human cancer biology. Here, we focus on an immunologic interpretation of cancer that segregates oncogenic processes independent from their tissue derivation into at least two categories of which one bears the footprints of immune activation. Several observations describe a cancer phenotype where the expression of interferon stimulated genes and immune effector mechanisms reflect patterns commonly observed during the inflammatory response against pathogens, which leads to elimination of infected cells. As these signatures are observed in growing cancers, they are not sufficient to entirely clear the organism of neoplastic cells but they sustain, as in chronic infections, a self-perpetuating inflammatory process. Yet, several studies determined an association between this inflammatory status and a favorable natural history of the disease or a better responsiveness to cancer immune therapy. Moreover, these signatures overlap with those observed during immune-mediated cancer rejection and, more broadly, immune-mediated tissue-specific destruction in other immune pathologies. Thus, a discussion concerning this cancer phenotype is warranted as it remains unknown why it occurs in immune competent hosts. It also remains uncertain whether a genetically determined response of the host to its own cancer, the genetic makeup of the neoplastic process or a combination of both drives the inflammatory process. Here we reflect on commonalities and discrepancies among studies and on the genetic or somatic conditions that may cause this schism in cancer behavior.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.