Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee DOI Creative Commons
Mari Mino‐Kenudson, Kurt A. Schalper, Wendy A. Cooper

et al.

Journal of Thoracic Oncology, Journal Year: 2022, Volume and Issue: 17(12), P. 1335 - 1354

Published: Sept. 29, 2022

Language: Английский

The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker DOI Creative Commons
Denis L. Jardim, Aaron M. Goodman, Débora De Melo Gagliato

et al.

Cancer Cell, Journal Year: 2020, Volume and Issue: 39(2), P. 154 - 173

Published: Oct. 30, 2020

Language: Английский

Citations

812

Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy DOI Creative Commons

Wei Tan,

Sanjna Nilesh Nerurkar,

Hai Yun Cai

et al.

Cancer Communications, Journal Year: 2020, Volume and Issue: 40(4), P. 135 - 153

Published: April 1, 2020

Abstract Conventional immunohistochemistry (IHC) is a widely used diagnostic technique in tissue pathology. However, this associated with number of limitations, including high inter‐observer variability and the capacity to label only one marker per section. This review details various highly multiplexed techniques that have emerged circumvent these constraints, allowing simultaneous detection multiple markers on single section comprehensive study cell composition, cellular functional cell‐cell interactions. Among techniques, multiplex Immunohistochemistry/Immunofluorescence (mIHC/IF) has be particularly promising. mIHC/IF provides high‐throughput staining standardized quantitative analysis for reproducible, efficient cost‐effective studies. immediate potential translational research clinical practice, era cancer immunotherapy.

Language: Английский

Citations

490

Digital pathology and artificial intelligence in translational medicine and clinical practice DOI Creative Commons

Vipul Baxi,

Robin Edwards, Michael Montalto

et al.

Modern Pathology, Journal Year: 2021, Volume and Issue: 35(1), P. 23 - 32

Published: Oct. 5, 2021

Traditional pathology approaches have played an integral role in the delivery of diagnosis, semi-quantitative or qualitative assessment protein expression, and classification disease. Technological advances increased focus on precision medicine recently paved way for development digital pathology-based quantitative pathologic assessments, namely whole slide imaging artificial intelligence (AI)–based solutions, allowing us to explore extract information beyond human visual perception. Within field immuno-oncology, application such methodologies drug translational research created invaluable opportunities deciphering complex pathophysiology discovery novel biomarkers targets. With increasing number treatment options available any given disease, practitioners face growing challenge selecting most appropriate each patient. The ever-increasing utilization AI-based substantially expands our understanding tumor microenvironment, with patient stratification selection diagnostic assays supporting identification optimal regimen based profiles. This review provides overview limitations around implementing methods biomarker discusses how AI should be considered current landscape medicine, touching challenges this technology may if adopted clinical settings. traditional pathologists delivering accurate diagnoses assessing companion diagnostics enhanced precision, reproducibility, scale by AI-powered analysis tools.

Language: Английский

Citations

372

Growth/Differentiation Factor-15 (GDF-15): From Biomarker to Novel Targetable Immune Checkpoint DOI Creative Commons
Jörg Wischhusen, Ignacio Melero, Wolf H. Fridman

et al.

Frontiers in Immunology, Journal Year: 2020, Volume and Issue: 11

Published: May 19, 2020

Growth/differentiation factor-15 (GDF-15), also named macrophage inhibitory cytokine-1, is a divergent member of the transforming growth factor β superfamily. While physiological expression barely detectable in most somatic tissues humans, GDF-15 abundant placenta. Elsewhere, often induced under stress conditions, seemingly to maintain cell and tissue homeostasis; however, moderate increase blood levels observed with age. Highly elevated are mostly linked pathological conditions including inflammation, myocardial ischemia, notably cancer. has thus been widely explored as biomarker for disease prognosis. Mechanistically, induction anorexia via brainstem-restricted receptor GFRAL (glial cell-derived neurotrophic [GDNF] family α-like) well documented. have become attractive targets metabolic intervention. Still, several mediated effects (including its role pregnancy) difficult explain described pathway. Hence, there clear need better understand non-metabolic GDF-15. With particular emphasis on immunomodulatory potential this review discusses roles pregnancy infarction, autoimmune disease, specifically Importantly, strong predictive value may plausibly be immune-regulatory function. The associations mechanistic data support hypothesis that acts immune checkpoint an emerging target cancer immunotherapy.

Language: Английский

Citations

365

Tumor Mutational Burden as a Predictor of Immunotherapy Response: Is More Always Better? DOI Open Access
John H. Strickler, Brent A. Hanks, Mustafa Khasraw

et al.

Clinical Cancer Research, Journal Year: 2020, Volume and Issue: 27(5), P. 1236 - 1241

Published: Nov. 16, 2020

Abstract Immune checkpoint inhibitors, including antibodies that block programmed cell death protein-1 (PD-1) and PD-L1, have transformed the management of many cancers. However, majority patients primary or acquired resistance to these immunotherapies. There is a significant unmet need for predictive biomarkers can reliably identify who derive clinically meaningful response from PD-1/PD-L1 blockade. High tumor mutational burden (TMB-H) has shown promise as biomarker in lung cancer, but broad applicability TMB-H across all solid tumors unclear. The FDA approved PD-1 inhibitor, pembrolizumab, therapy with TMB equal greater than 10 mutations/megabase measured by FoundationOne CDx assay. This approval was based on an exploratory analysis KEYNOTE-158 study, which single-arm, phase II multi-cohort study pembrolizumab select, previously treated advanced tumors. Here, we elucidate caveats using universal threshold While recognize importance this other pan-cancer approvals, several questions about remain unanswered. In perspective, discuss clinical trial evidence area. We review relationship between immune microenvironment. highlight risks extrapolating limited number histologies tumors, propose avenues future research.

Language: Английский

Citations

320

Turning cold tumors hot: from molecular mechanisms to clinical applications DOI
Jiahui Zhang, Di Huang, Phei Er Saw

et al.

Trends in Immunology, Journal Year: 2022, Volume and Issue: 43(7), P. 523 - 545

Published: May 25, 2022

Language: Английский

Citations

319

Survival and biomarker analyses from the OpACIN-neo and OpACIN neoadjuvant immunotherapy trials in stage III melanoma DOI
Elisa A. Rozeman, Esmée P. Hoefsmit, Irene L. M. Reijers

et al.

Nature Medicine, Journal Year: 2021, Volume and Issue: 27(2), P. 256 - 263

Published: Feb. 1, 2021

Language: Английский

Citations

264

Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer DOI Creative Commons
Anniina Färkkilä, D. Gulhan, Julia Casado

et al.

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: March 19, 2020

Combined PARP and immune checkpoint inhibition has yielded encouraging results in ovarian cancer, but predictive biomarkers are lacking. We performed immunogenomic profiling highly multiplexed single-cell imaging on tumor samples from patients enrolled a Phase I/II trial of niraparib pembrolizumab cancer (NCT02657889). identify two determinants response; mutational signature 3 reflecting defective homologous recombination DNA repair, positive score as surrogate interferon-primed exhausted CD8 + T-cells the microenvironment. Presence one or both features associates with an improved outcome while concurrent absence yields no responses. Single-cell spatial analysis reveals prominent interactions PD-L1 macrophages cells mechanistic response. Furthermore, extreme responders shows differential clustering first, harboring genomic PD-L2 amplification second.

Language: Английский

Citations

241

The Promises and Challenges of Tumor Mutation Burden as an Immunotherapy Biomarker: A Perspective from the International Association for the Study of Lung Cancer Pathology Committee DOI Creative Commons
Lynette M. Sholl, Fred R. Hirsch, David Hwang

et al.

Journal of Thoracic Oncology, Journal Year: 2020, Volume and Issue: 15(9), P. 1409 - 1424

Published: June 6, 2020

Language: Английский

Citations

238

Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy DOI
Satyen H. Gohil, J. Bryan Iorgulescu, David A. Braun

et al.

Nature Reviews Clinical Oncology, Journal Year: 2020, Volume and Issue: 18(4), P. 244 - 256

Published: Dec. 4, 2020

Language: Английский

Citations

211