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Record W2954342804 · doi:10.1136/esmoopen-2019-000552

Introducing a new ESMO Open article series: how I treat side effects of immunotherapy

2019· article· en· W2954342804 on OpenAlexaboutno aff
Matthias Preusser

Bibliographic record

VenueESMO Open · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunotherapyOncologyLung cancerInternal medicineCancer immunotherapyClinical trialCancerMelanomaPembrolizumabCancer research

Abstract

fetched live from OpenAlex

Immunotherapy has revolutionised medical oncology due to durable responses and favourable clinical trial outcomes seen in some patient populations treated with immune checkpoint inhibitors.1.Granier C. De Guillebon E. Blanc C. et al.Mechanisms of action and rationale for the use of checkpoint inhibitors in cancer.ESMO Open. 2017; 2: e000213doi:10.1136/esmoopen-2017-000213Abstract Full Text Full Text PDF PubMed Scopus (176) Google Scholar As a consequence, various immune checkpoint inhibitors have been approved by regulatory bodies and have quickly been adpoted as the standard treatment option in several cancer types, such as melanoma, lung cancer and renal cell cancer.2.de Marinis F. Ciardiello F. Baas P. et al.30 Immunotherapy in advanced NSCLC-from the 'tsunami' of therapeutic knowledge to a clinical practice algorithm: results from an international expert panel meeting of the Italian Association of Thoracic Oncology (AIOT).ESMO Open. 2018; 3: e000298doi:10.1136/esmoopen-2017-000298Abstract Full Text Full Text PDF PubMed Scopus (9) Google Scholar, 3.Economopoulou P. Kotsantis I. Psyrri A. The promise of immunotherapy in head and neck squamous cell carcinoma: combinatorial immunotherapy approaches.ESMO Open. 2016; 1: e000122doi:10.1136/esmoopen-2016-000122Abstract Full Text Full Text PDF PubMed Scopus (38) Google Scholar, 4.Ramos-Esquivel A. van der Laat A. Rojas-Vigott R. et al.Anti-PD-1/anti-PD-L1 immunotherapy versus docetaxel for previously treated advanced non-small cell lung cancer: a systematic review and meta-analysis of randomised clinical trials.ESMO Open. 2017; 2: e000236doi:10.1136/esmoopen-2017-000236Abstract Full Text Full Text PDF PubMed Scopus (27) Google Scholar, 5.Popovic L.S. Matovina-Brko G. Popovic M. Checkpoint inhibitors in the treatment of urological malignancies.ESMO Open. 2017; 2: e000165doi:10.1136/esmoopen-2017-000165Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar, 6.Okusaka T. Ikeda M. Immunotherapy for hepatocellular carcinoma: current status and future perspectives.ESMO Open. 2018; 3: e000455doi:10.1136/esmoopen-2018-000455Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar, 7.Park J.H. Ahn J.-H. Kim S.-B. How shall we treat early triple-negative breast cancer (TNBC): from the current standard to upcoming immuno-molecular strategies.ESMO Open. 2018; 3: e000357doi:10.1136/esmoopen-2018-000357Abstract Full Text Full Text PDF PubMed Scopus (86) Google Scholar, 8.Rodriguez-Vida A. Hutson T.E. Bellmunt J. et al.New treatment options for metastatic renal cell carcinoma.ESMO Open. 2017; 2: e000185doi:10.1136/esmoopen-2017-000185Abstract Full Text Full Text PDF PubMed Scopus (58) Google Scholar Efficacy has been shown not only in metastatic stages including patients in highly advanced treatment phases but also in patients with lung cancer and melanoma treated in the adjuvant setting.9.Cheng S. Qureshi M. Pullenayegum E. et al.Do patients with reduced or excellent performance status derive the same clinical benefit from novel systemic cancer therapies? A systematic review and meta-analysis.ESMO Open. 2017; 2: e000225doi:10.1136/esmoopen-2017-000225Abstract Full Text Full Text PDF PubMed Scopus (17) Google Scholar Recent data from lung cancer, melanoma and glioblastoma indicate that immune checkpoint inhibition may even be of relevant clinical benefit in neoadjuvant therapy, thus opening novel avenues for further development of cancer immunotherapy.10.Aguiar P.N. De Mello R.A. Barreto C.M.N. et al.Immune checkpoint inhibitors for advanced non-small cell lung cancer: emerging sequencing for new treatment targets.ESMO Open. 2017; 2: e000200doi:10.1136/esmoopen-2017-000200Abstract Full Text Full Text PDF PubMed Scopus (28) Google Scholar, 11.Leduc C. Adam J. Louvet E. et al.TPF induction chemotherapy increases PD-L1 expression in tumour cells and immune cells in head and neck squamous cell carcinoma.ESMO Open. 2018; 3: e000257doi:10.1136/esmoopen-2017-000257Abstract Full Text Full Text PDF PubMed Scopus (50) Google Scholar, 12.Grob J.-J. Mortier L. D'Hondt L. et al.Safety and immunogenicity of MAGE-A3 cancer immunotherapeutic with dacarbazine in patients with MAGE-A3-positive metastatic cutaneous melanoma: an open phase I/II study with a first assessment of a predictive gene signature.ESMO Open. 2017; 2: e000203doi:10.1136/esmoopen-2017-000203Abstract Full Text Full Text PDF PubMed Scopus (10) Google Scholar, 13.Fumet J.-D. Isambert N. Hervieu A. et al.Phase Ib/II trial evaluating the safety, tolerability and immunological activity of durvalumab (MEDI4736) (anti-PD-L1) plus tremelimumab (anti-CTLA-4) combined with FOLFOX in patients with metastatic colorectal cancer.ESMO Open. 2018; 3: e000375doi:10.1136/esmoopen-2018-000375Abstract Full Text Full Text PDF PubMed Scopus (34) Google Scholar, 14.Goto W. Kashiwagi S. Asano Y. et al.Predictive value of improvement in the immune tumour microenvironment in patients with breast cancer treated with neoadjuvant chemotherapy.ESMO Open. 2018; 3: e000305doi:10.1136/esmoopen-2017-000305Abstract Full Text Full Text PDF PubMed Scopus (24) Google Scholar, 15.Lee D.H. Practical issues of biomarker-assisted targeted therapy in precision medicine and immuno-oncology era.ESMO Open. 2018; 3: e000370doi:10.1136/esmoopen-2018-000370Abstract Full Text Full Text PDF PubMed Scopus (7) Google Scholar, 16.Nishio M. Hida T. Atagi S. et al.Multicentre phase II study of nivolumab in Japanese patients with advanced or recurrent non-squamous non-small cell lung cancer.ESMO Open. 2016; 1: e000108doi:10.1136/esmoopen-2016-000108PubMed Google Scholar, 17.Pinto J.A. Vallejos C.S. Raez L.E. et al.Gender and outcomes in non-small cell lung cancer: an old prognostic variable comes back for targeted therapy and immunotherapy?.ESMO Open. 2018; 3: e000344doi:10.1136/esmoopen-2018-000344Abstract Full Text Full Text PDF PubMed Scopus (80) Google Scholar, 18.Solinas C. Gombos A. Latifyan S. et al.Targeting immune checkpoints in breast cancer: an update of early results.ESMO Open. 2017; 2: e000255doi:10.1136/esmoopen-2017-000255Abstract Full Text Full Text PDF PubMed Scopus (95) Google Scholar, 19.Glitza I.C. Rohlfs M. Guha-Thakurta N. et al.Retrospective review of metastatic melanoma patients with leptomeningeal disease treated with intrathecal interleukin-2.ESMO Open. 2018; 3: e000283doi:10.1136/esmoopen-2017-000283Abstract Full Text Full Text PDF PubMed Scopus (36) Google Scholar, 20.Norum J. Nieder C. Tobacco smoking and cessation and PD-L1 inhibitors in non-small cell lung cancer (NSCLC): a review of the literature.ESMO Open. 2018; 3: e000406doi:10.1136/esmoopen-2018-000406Abstract Full Text Full Text PDF PubMed Scopus (61) Google Scholar, 21.Saraiva D.P. Guadalupe Cabral M. Jacinto A. et al.How many diseases is triple negative breast cancer: the protagonism of the immune microenvironment.ESMO Open. 2017; 2: e000208doi:10.1136/esmoopen-2017-000208Abstract Full Text Full Text PDF PubMed Scopus (34) Google Scholar, 22.Wolf Y. Samuels Y. Cancer research in the era of immunogenomics.ESMO Open. 2018; 3: e000475doi:10.1136/esmoopen-2018-000475Abstract Full Text Full Text PDF PubMed Scopus (12) Google Scholar, 23.Berghoff A.S. Preusser M. Does neoadjuvant anti-PD1 therapy improve glioblastoma outcome?.Nat Rev Neurol. 2019; 15: 314-315doi:10.1038/s41582-019-0178-0Crossref PubMed Scopus (9) Google Scholar In addition, novel molecular insights drive refined selection of patients with cancer for targeted treatments including immunotherapies and the development of new approaches to effective anti-cancer immunomodulation.24.Baurain J.-F. Robert C. Mortier L. et al.Association of homogeneous inflamed gene signature with a better outcome in patients with metastatic melanoma treated with MAGE-A3 immunotherapeutic.ESMO Open. 2018; 3: e000384doi:10.1136/esmoopen-2018-000384Abstract Full Text Full Text PDF PubMed Scopus (1) Google Scholar, 25.Cho J. Chang Y.H. Heo Y.J. et al.Four distinct immune microenvironment subtypes in gastric adenocarcinoma with special reference to microsatellite instability.ESMO Open. 2018; 3: e000326doi:10.1136/esmoopen-2018-000326Abstract Full Text Full Text PDF PubMed Scopus (39) Google Scholar, 26.Coelho A.L. Gomes M.P. Catarino R.J. et al.CSF-1 and Ang-2 serum levels - prognostic and diagnostic partners in non-small cell lung cancer.ESMO Open. 2018; 3: e000349doi:10.1136/esmoopen-2018-000349Abstract Full Text Full Text PDF PubMed Scopus (9) Google Scholar Notwithstanding the economical issues and implications,27.Norum J. Antonsen M.A. Tollåli T. et al.Pembrolizumab as second-line therapy in non-small cell lung cancer in northern Norway: budget impact and expected gain-a model-based analysis.ESMO Open. 2017; 2: e000222doi:10.1136/esmoopen-2017-000222Abstract Full Text Full Text PDF PubMed Scopus (12) Google Scholar, 28.Yoo S.H. Keam B. Kim M. et al.Low-dose nivolumab can be effective in non-small cell lung cancer: alternative option for financial toxicity.ESMO Open. 2018; 3: e000332doi:10.1136/esmoopen-2018-000332Abstract Full Text Full Text PDF PubMed Scopus (42) Google Scholar, 29.Cheung M.C. Chan K.K. Sabharwal M. et al.Comparing assessment frameworks for cancer drugs between Canada and Europe: What can we learn from the differences?.ESMO Open. 2016; 1: e000124doi:10.1136/esmoopen-2016-000124Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar all of these developments lead to a quickly increasing number of patients with cancer being exposed to modern immunotherapy in clinical routine worldwide. As a consequence, the medical community is increasingly faced with immune-related side effects of these novel therapeutics in everyday practice. The mode of action of immune checkpoint inhibitors explains the particularly broad spectrum of side effects associated with their use.30.Doherty G.J. Duckworth A.M. Davies S.E. et al.Severe steroid-resistant anti-PD1 T-cell checkpoint inhibitor-induced hepatotoxicity driven by biliary injury.ESMO Open. 2017; 2: e000268doi:10.1136/esmoopen-2017-000268Abstract Full Text Full Text PDF PubMed Scopus (70) Google Scholar, 31.Geukes Foppen M.H. Rozeman E.A. van Wilpe S. et al.Immune checkpoint inhibition-related colitis: symptoms, endoscopic features, histology and response to management.ESMO Open. 2018; 3: e000278doi:10.1136/esmoopen-2017-000278Abstract Full Text Full Text PDF PubMed Scopus (164) Google Scholar, 32.Kastrisiou M. Kostadima F.-L. Kefas A. et al.Nivolumab-induced hypothyroidism and selective pituitary insufficiency in a patient with lung adenocarcinoma: a case report and review of the literature.ESMO Open. 2017; 2: e000217doi:10.1136/esmoopen-2017-000217Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar Type and severity of adverse effects seen in patients treated with inhibitors of CTLA4, PD1, PD-L1 and other immunomodulatory molecules vary greatly between patients and require a well-informed and individualised approach to maximise patient safety. The current series of articles aimed to provide concise summaries of the personal approach of key opinion leaders to specific immune-related toxicities with a focus on rare adverse effects such as neurological and rheumathological phenomena and may complement the comprehensive and well-accepted general guidelines published by international societies, including the European Society of Medical Oncology.33.Haanen J.B.A.G. Carbonnel F. Robert C. et al.Management of toxicities from immunotherapy: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.Ann Oncol. 2018; 29: iv264-iv266doi:10.1093/annonc/mdy162Abstract Full Text Full Text PDF PubMed Scopus (260) Google Scholar We do hope that the articles serve our readership and contribute to the spread of expertise in the quickly moving field of cancer immunotherapy and ultimately better care of patients with cancer worldwide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.283
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2019
Admission routes1
Has abstractyes

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