Quality Considerations When Using Tissue Samples for Biomarker Studies in Cancer Research

Speirs, Valerie

doi:10.1177/11772719211009513

Cited by 6 publications

(8 citation statements)

References 57 publications

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“…Therefore, tissue-based validation methods are often restricted in their clinical use. 16,17 In contrast, peripheral blood has also been investigated as a material for searching ICI biomarkers. Peripheral blood has been investigated in various malignant tumors in the search for ICI biomarkers.…”

Section: Introductionmentioning

confidence: 99%

Association of Pretreatment Neutrophil-to-Eosinophil Ratio with Clinical Outcomes in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma Treated with Nivolumab

Suzuki¹,

Abe²,

Endo³

et al. 2022

CMAR

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Background: There is a need to develop biomarkers for a more efficient use of immune checkpoint inhibitors (ICIs). Recently, it has been reported that peripheral blood components, including eosinophils, may be effective ICI biomarkers. This study was designed to evaluate the prognostic value of eosinophils for measuring the effects of nivolumab on recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). Materials and Methods:The study included 47 patients with R/M HNSCC treated with nivolumab. Eosinophil-related biomarkers, such as absolute eosinophil count (AEC), relative eosinophil count (REC), and neutrophil-to-eosinophil ratio (NER), were measured from the peripheral blood of the patients before nivolumab treatment. For each biomarker, the patients were divided into a high-and a low-value group according to their cutoff values, and these groups were compared. Results: Regarding AEC and REC, no significant improvement in the objective response rate (ORR) was observed between patients with AEC >0.9 × 10 3 /μL and those with AEC <0.9 × 10 3 /μL (p = 0.147) and between patients with REC >2.2% and those with REC <2.2% (p = 0.110). However, patients with NER <32 had improved ORR compared with those with NER >32 (P = 0.0361). Additionally, although patients with AEC >0.9 × 10 3 /μL, REC >2.2%, and NER <32 had longer overall survival (OS) than those with AEC <0.9 × 10 3 /μL, REC <2.2%, and NER >32, only patients with NER <32 showed prolonged progression-free survival (PFS) compared with those with NER >32 according to the Log rank test (p = 0.046, 0.027, and 0.035, respectively). Furthermore, the multivariate analysis revealed that baseline NER >32 (p = 0.027) was an independent prognostic factor for worse OS. Conclusion: A pretreatment feature of low NER (NER <32) may predict better clinical outcomes in patients with R/M HNSCC treated with nivolumab.

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Section: Introductionmentioning

confidence: 99%

Association of Pretreatment Neutrophil-to-Eosinophil Ratio with Clinical Outcomes in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma Treated with Nivolumab

Suzuki¹,

Abe²,

Endo³

et al. 2022

CMAR

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“…More in detail, biobanks can report significant improvement in integrating data derived from samples (e.g., -omics data) with medical records, or other types (e.g., pathological data) [48]. Moreover, developing an available online database of whole slide images for biobank specimens might increase the sample's accessibility to a broader audience of researchers [55]. Interestingly, datasets would become visually inspectable, leading to benefits in biospecimens' preselection, consultation, and reuse.…”

Section: Evolving Towards Digital Biobanks: Opportunities and Critica...mentioning

confidence: 99%

Biobanking in the digital pathology era

Bonizzi¹,

Zattoni²,

Fusco³

2021

Oncology Research

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Digital Pathology is becoming more and more important to achieve the goal of precision medicine. Advances in whole-slide imaging, software integration, and the accessibility of storage solutions have changed the pathologists' clinical practice, not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis. In parallel with the pathology setting advancement, translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence (AI). Indeed, the increased usage of biobanks' datasets in research provided new challenges for AI applications, such as advanced algorithms, and computer-aided techniques. In this scenario, machine learningbased approaches are being propose in order to improve biobanks from biospecimens collection repositories to computational datasets. To date, evidence on how to implement digital biobanks in translational medicine is still lacking. This viewpoint article summarizes the currently available literature that supports the biobanks' role in the digital pathology era, and to provide possible practical applications of digital biobanks.

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“…Here, we champion some aspirational challenges for what could be done to achieve these aims for radiotherapy biobanking: Due regard for the feelings, wishes, and rights of patients and participants related to: (i) transparency and rigor regarding access and research project approval; (ii) publications that acknowledge their anonymous contribution; (iii) generic consent forms and patient information leaflets that are easily understandable by patients (see supplementary material, Table S1 and Section S3); (iv) appropriate consent, curation, and storage to facilitate sharing of samples and data with the wider scientific community when the project is complete; and (v) the use of cost recovery from both academic and commercial users based on standardised tariffs for samples and data to support the long‐term operation of the biobank. Standard sample collection pathways. Quality guidelines and standards exist for biobanking [27] (see also supplementary material, Table S2), but do not seem to be adopted universally by those banks that are not required to follow these regulations. National and international guidelines have also been introduced and guidance provided by, for example, BBMRI‐ERIC [64], providing frameworks that even small tissue banks can utilise.…”

Section: Recommendations For Improvementmentioning

confidence: 99%

“…Standard sample collection pathways. Quality guidelines and standards exist for biobanking [27] (see also supplementary material, Table S2), but do not seem to be adopted universally by those banks that are not required to follow these regulations. National and international guidelines have also been introduced and guidance provided by, for example, BBMRI-ERIC [64], providing frameworks that even small tissue banks can utilise.…”

Section: Recommendations For Improvementmentioning

confidence: 99%

“…The UK National Cancer Research Institute (NCRI) recognised this and, with the goal of improving biobanking in general, established the Confederation of Cancer Biobanks [24] in 2006, and incorporated it into the NCRI Cellular Molecular Pathology (CMPath) initiative in 2016; the objective is to share best practice, to improve the coordination between existing collections, and to raise awareness of existing collections. CMPath worked towards improving and standardising sample collection and reporting by devising a freely available Biobanking Sample Quality Improvement Tool [25] highlighted by the need for sample and data standardisation, especially for biomarker studies [26,27].…”

Section: Introductionmentioning

confidence: 99%

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Radiotherapy biobanking: current landscape, opportunities, challenges, and future aspirations

Ward

Gilbert

Higginbotham

et al. 2021

The Journal of Pathology CR

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Half of all cancer patients receive radiotherapy, which makes a substantial contribution to their long‐term disease control/cure. There are significant inter‐patient differences in response, both in terms of efficacy and toxicity (frequently delayed onset) which are difficult to predict. With the introduction of technological improvements (e.g. stereotactic body radiotherapy and proton therapy) and development of combination therapies (e.g. radiotherapy and immune checkpoint inhibition), predictive biomarkers are needed even more. Whilst genomic studies have contributed significantly to predictions of response to anticancer therapy, there is no doubt that more information can be gathered from patient tissue samples. Patients are willing to donate their tissues to biobanks and wish them to be used as widely as possible for high‐quality research. We report here a survey of the current practices in the UK from several groups collecting material from patients in radiotherapy trials and have identified barriers to collecting and sharing data and samples. We believe the current situation represents a significant missed opportunity to improve the personalisation of radiotherapy. We propose a greater involvement of patients and/or their advocates, a standardisation of the patient information leaflet, consent form content and data set, with easy linkage to clinical data, which would facilitate widespread sample and data discovery and availability to other researchers. The greater sharing of data and samples, nationally and internationally, would facilitate robust multicentre studies and avoid duplication of effort.

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Quality Considerations When Using Tissue Samples for Biomarker Studies in Cancer Research

Cited by 6 publications

References 57 publications

Association of Pretreatment Neutrophil-to-Eosinophil Ratio with Clinical Outcomes in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma Treated with Nivolumab

Association of Pretreatment Neutrophil-to-Eosinophil Ratio with Clinical Outcomes in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma Treated with Nivolumab

Biobanking in the digital pathology era

Radiotherapy biobanking: current landscape, opportunities, challenges, and future aspirations

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