ReviewHNO2016
[Preclinical models to establish innovative therapy strategies : Ex‑vivo assessment of head and neck tumor chemo- and immune responses].
Review in HNO, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 5 citations in OpenAlex.
- Suppression of MCP-1, IFN-γ and IL-6 production of HNSCCFrontiers in immunology · 2024Article
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pharmacological treatment of head and neck squamous cell carcinoma (HNSCC) is currently experiencing an expansion of the spectrum of targeting therapies. It can be expected that use of immune modulators, e.g., checkpoint-inhibitors, and their combination with chemotherapy will lead to a plethora of therapeutic options in the near future, from which the best one for the individual patient can be selected. HNSCCs are heterogeneous in their biology, and responses to chemotherapy are nonuniform and often only observable in subgroups. It would be valuable to know the chance of success of a particular treatment in advance. Evidence-based selection of the best individual treatment is difficult, since predictive biomarkers which are assessable prior to the treatment decision and reliably indicate the suitability of particular therapeutics are lacking. Pretherapeutic predictive ex-vivo chemoresponse testing of HNSCC biopsy specimens could enable identification of responders and allow a more suitable therapy regimen to be chosen for potential non-responders, without exposing them to likely ineffective therapy attempts. However, early ex-vivo assays failed regarding reliable prediction of therapeutic success, even with tolerable doses of pharmaceuticals and, in particular, their combinations. Predictive testing was hence deemed improper for the clinic. Improved methodology has now led to a reappraisal of predictive testing and its additional use in analysis of antitumor immune responses ex vivo. Here we describe recent advances and new results from ex-vivo chemoresponse testing of HNSCC and highlight their ability to facilitate establishment of innovative therapy strategies.
Indexed as
Identifiers
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.