| 1. |
|
|
| 2. |
- Butler-Laporte, G, et al.
(author)
-
Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative
- 2022
-
In: PLoS genetics. - : Public Library of Science (PLoS). - 1553-7404 .- 1553-7390. ; 18:11, s. e1010367-
-
Journal article (peer-reviewed)abstract
- Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
|
|
| 7. |
- Cesano, A, et al.
(author)
-
Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume II-practical challenges
- 2020
-
In: Journal for immunotherapy of cancer. - : BMJ. - 2051-1426. ; 8:2
-
Journal article (peer-reviewed)abstract
- The development of strongly predictive validated biomarkers is essential for the field of immuno-oncology (IO) to advance. The highly complex, multifactorial data sets required to develop these biomarkers necessitate effective, responsible data-sharing efforts in order to maximize the scientific knowledge and utility gained from their collection. While the sharing of clinical- and safety-related trial data has already been streamlined to a large extent, the sharing of biomarker-aimed clinical trial derived data and data sets has been met with a number of hurdles that have impaired the progression of biomarkers from hypothesis to clinical use. These hurdles include technical challenges associated with the infrastructure, technology, workforce, and sustainability required for clinical biomarker data sharing. To provide guidance and assist in the navigation of these challenges, the Society for Immunotherapy of Cancer (SITC) Biomarkers Committee convened to outline the challenges that researchers currently face, both at the conceptual level (Volume I) and at the technical level (Volume II). The committee also suggests possible solutions to these problems in the form of professional standards and harmonized requirements for data sharing, assisting in continued progress toward effective, clinically relevant biomarkers in the IO setting.
|
|
| 8. |
|
|
| 9. |
- Galon, Jerome, et al.
(author)
-
Cancer classification using the Immunoscore : a worldwide task force
- 2012
-
In: Journal of Translational Medicine. - : Springer Science and Business Media LLC. - 1479-5876. ; 10, s. 205-
-
Research review (peer-reviewed)abstract
- Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ` Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune).
|
|
| 10. |
|
|
| 11. |
- Rutella, S, et al.
(author)
-
Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume I-conceptual challenges
- 2020
-
In: Journal for immunotherapy of cancer. - : BMJ. - 2051-1426. ; 8:2
-
Journal article (peer-reviewed)abstract
- The sharing of clinical trial data and biomarker data sets among the scientific community, whether the data originates from pharmaceutical companies or academic institutions, is of critical importance to enable the development of new and improved cancer immunotherapy modalities. Through data sharing, a better understanding of current therapies in terms of their efficacy, safety and biomarker data profiles can be achieved. However, the sharing of these data sets involves a number of stakeholder groups including patients, researchers, private industry, scientific journals and professional societies. Each of these stakeholder groups has differing interests in the use and sharing of clinical trial and biomarker data, and the conflicts caused by these differing interests represent significant obstacles to effective, widespread sharing of data. Thus, the Society for Immunotherapy of Cancer (SITC) Biomarkers Committee convened to identify the current barriers to biomarker data sharing in immuno-oncology (IO) and to help in establishing professional standards for the responsible sharing of clinical trial data. The conclusions of the committee are described in two position papers: Volume I—conceptual challenges and Volume II—practical challenges, the first of which is presented in this manuscript. Additionally, the committee suggests actions by key stakeholders in the field (including organizations and professional societies) as the best path forward, encouraging the cultural shift needed to ensure responsible data sharing in the IO research setting.
|
|
| 12. |
|
|
| 13. |
|
|
| 14. |
- Copier, J, et al.
(author)
-
Improving the efficacy of cancer immunotherapy
- 2009
-
In: EUROPEAN JOURNAL OF CANCER. - : Elsevier BV. - 0959-8049 .- 1879-0852. ; 45:8, s. 1424-1431
-
Journal article (peer-reviewed)abstract
- A series of cancer vaccines have been evaluated in clinical trials with encouraging results, but the demonstration of clinical benefit in confirmatory studies has so far proven to be difficult. The development of cancer vaccines is hampered by a range of issues particular to this field of research. On 12th March 2008, the Biotherapy Development Association convened a workshop to discuss issues faced by scientists and clinicians involved in the development of cancer vaccines. This paper is a review of the field, based on discussions held at the BDA workshop, and describes biological barriers encountered in generating effective immune responses to tumours, methodological obstacles encountered in the improvement of immunological monitoring which aims to improve inter-laboratory and inter-trial comparisons, challenges in clinical trial design and problems posed by the lack of specific regulation for cancer vaccines and the impact on their development. Ultimately, a number of general solutions are posed: (1) better patient selection, (2) use of multi-modal treatments that affect several aspects of the immune system at once, (3) a requirement for the development of good biomarkers to stratify patients for selection prior to trial and as surrogates for clinical response and (4) harmonisation of SOPs for immunological monitoring of clinical trials.
|
|
| 15. |
|
|
| 16. |
|
|
| 17. |
|
|
| 18. |
|
|
