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      Tumor Mutational Burden Is a Potential Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Patients With Advanced Biliary Tract Cancer

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          Abstract

          PURPOSE

          Patients with advanced biliary tract cancers (BTCs) have a dismal prognosis. This multisite, single-institution study analyzed the efficacy and safety of immune checkpoint inhibitors (ICIs) in patients with advanced BTC.

          MATERIALS AND METHODS

          The prospectively maintained institutional database was searched for patients with advanced BTC. Electronic medical records of the patients with advanced BTC treated with an ICI that included programmed death-1 or programmed death-ligand 1 blockers were retrospectively reviewed to obtain data on patient characteristics, tumor characteristics including molecular biomarkers, detailed treatment, response characteristics, survival, and toxicities. The analysis included overall response rate, survival, and correlation between survival and molecular biomarkers.

          RESULTS

          The institutional database query identified 47 patients with advanced BTC who received at least one dose of an ICI; 11 (24%) patients in the first-line setting and the rest of the patients had refractory disease. The median age of the cohort was 62 years, and 51% were female. The overall response rate was 10.6%, with a disease control rate of 53.2%. The median progression-free survival (PFS) and overall survival were 3.6 months and 6.9 months, respectively. Biomarker analysis revealed improved PFS in patients with tumor mutational burden > 5 mutations per megabase (median PFS: 6.4 v 2.2 months; P = .0027). No unexpected adverse events were observed.

          CONCLUSION

          ICIs are well tolerated and have modest antitumor activity in patients with advanced BTC. The study result supports the exploration of tumor mutational burden as a potential predictive biomarker for response to ICIs in patients with advanced BTC.

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          Most cited references33

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          New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

          Assessment of the change in tumour burden is an important feature of the clinical evaluation of cancer therapeutics: both tumour shrinkage (objective response) and disease progression are useful endpoints in clinical trials. Since RECIST was published in 2000, many investigators, cooperative groups, industry and government authorities have adopted these criteria in the assessment of treatment outcomes. However, a number of questions and issues have arisen which have led to the development of a revised RECIST guideline (version 1.1). Evidence for changes, summarised in separate papers in this special issue, has come from assessment of a large data warehouse (>6500 patients), simulation studies and literature reviews. HIGHLIGHTS OF REVISED RECIST 1.1: Major changes include: Number of lesions to be assessed: based on evidence from numerous trial databases merged into a data warehouse for analysis purposes, the number of lesions required to assess tumour burden for response determination has been reduced from a maximum of 10 to a maximum of five total (and from five to two per organ, maximum). Assessment of pathological lymph nodes is now incorporated: nodes with a short axis of 15 mm are considered measurable and assessable as target lesions. The short axis measurement should be included in the sum of lesions in calculation of tumour response. Nodes that shrink to <10mm short axis are considered normal. Confirmation of response is required for trials with response primary endpoint but is no longer required in randomised studies since the control arm serves as appropriate means of interpretation of data. Disease progression is clarified in several aspects: in addition to the previous definition of progression in target disease of 20% increase in sum, a 5mm absolute increase is now required as well to guard against over calling PD when the total sum is very small. Furthermore, there is guidance offered on what constitutes 'unequivocal progression' of non-measurable/non-target disease, a source of confusion in the original RECIST guideline. Finally, a section on detection of new lesions, including the interpretation of FDG-PET scan assessment is included. Imaging guidance: the revised RECIST includes a new imaging appendix with updated recommendations on the optimal anatomical assessment of lesions. A key question considered by the RECIST Working Group in developing RECIST 1.1 was whether it was appropriate to move from anatomic unidimensional assessment of tumour burden to either volumetric anatomical assessment or to functional assessment with PET or MRI. It was concluded that, at present, there is not sufficient standardisation or evidence to abandon anatomical assessment of tumour burden. The only exception to this is in the use of FDG-PET imaging as an adjunct to determination of progression. As is detailed in the final paper in this special issue, the use of these promising newer approaches requires appropriate clinical validation studies.
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            Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade

            The genomes of cancers deficient in mismatch repair contain exceptionally high numbers of somatic mutations. In a proof-of-concept study, we previously showed that colorectal cancers with mismatch repair deficiency were sensitive to immune checkpoint blockade with antibodies to programmed death receptor-1 (PD-1). We have now expanded this study to evaluate the efficacy of PD-1 blockade in patients with advanced mismatch repair-deficient cancers across 12 different tumor types. Objective radiographic responses were observed in 53% of patients, and complete responses were achieved in 21% of patients. Responses were durable, with median progression-free survival and overall survival still not reached. Functional analysis in a responding patient demonstrated rapid in vivo expansion of neoantigen-specific T cell clones that were reactive to mutant neopeptides found in the tumor. These data support the hypothesis that the large proportion of mutant neoantigens in mismatch repair-deficient cancers make them sensitive to immune checkpoint blockade, regardless of the cancers' tissue of origin.
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              Tumor mutational load predicts survival after immunotherapy across multiple cancer types

              Immune checkpoint inhibitor (ICI) treatments benefit some patients with metastatic cancers, but predictive biomarkers are needed. Findings in select cancer types suggest that tumor mutational burden (TMB) may predict clinical response to ICI.To examine this association more broadly, we analyzed the clinical and genomic data of 1662 advanced cancer patients treated with ICI, and 5371 non-ICI treated patients, whose tumors underwent targeted next-generation sequencing (MSK-IMPACT). Among all patients, higher somatic TMB (highest 20% in each histology) was associated with better OS (HR 0.52; p=1.6 ×10 −6 ). For most cancer histologies, an association between higher TMB and improved survival was observed. The TMB cutpoints associated with improved survival varied markedly between cancer types. These data indicate that TMB is associated with improved survival in patients receiving ICI across a wide variety of cancer types, but that there may not be one universal definition of high TMB.
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                Author and article information

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                Journal
                JCO Precision Oncology
                JCO Precision Oncology
                American Society of Clinical Oncology (ASCO)
                2473-4284
                June 2022
                June 2022
                : 6
                Affiliations
                [1 ]Division of Medical Oncology, Mayo Clinic, Rochester, MN
                [2 ]Department of Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI
                [3 ]Department of Biostatistics, Mayo Clinic, Rochester, MN
                [4 ]Division of Medical Oncology, Mayo Clinic, Phoenix, AZ
                Article
                10.1200/PO.22.00003
                35772047
                3da34d14-bc2a-4a4f-8f8b-6106e598e74e
                © 2022
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