Literature DB >> 34457393

Longitudinal monitoring of tumor response to immune checkpoint inhibitors using noninvasive diffuse reflectance spectroscopy.

Joel Rodriguez Troncoso1, Paola Monterroso Diaz1, David E Lee2,3, Charles M Quick4, Narasimhan Rajaram1,5.   

Abstract

Immune checkpoint inhibitors have revolutionized cancer treatment. However, there are currently no methods for noninvasively and nondestructively evaluating tumor response to immune checkpoint inhibitors. We used diffuse reflectance spectroscopy to monitor in vivo tumor microenvironmental changes in response to immune checkpoint inhibitors in a CT26 murine colorectal cancer model. Mice growing CT26 tumor xenografts were treated with either anti-PD-L1, anti-CTLA-4, a combination of both inhibitors, or isotype control on 3 separate days. Monotherapy with either anti-PD-L1 or anti-CTLA-4 led to a large increase in tumor vascular oxygenation within the first 6 days. Reoxygenation in anti-CTLA-4-treated tumors was due to a combination of increased oxygenated hemoglobin and decreased deoxygenated hemoglobin, pointing to a possible change in tumor oxygen consumption following treatment. Within the anti-PD-L1-treated tumors, reoxygenation was primarily due to an increase in oxygenated hemoglobin with the minimal change in deoxygenated hemoglobin, indicative of a likely increase in tumor perfusion. The tumors in the combined treatment group did not show any significant changes in tumor oxygenation following therapy. These studies demonstrate the sensitivity of diffuse reflectance spectroscopy to tumor microenvironmental changes following immunotherapy and the potential of such non-invasive techniques to determine early tumor response to immune checkpoint inhibitors.
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2021        PMID: 34457393      PMCID: PMC8367250          DOI: 10.1364/BOE.426879

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  29 in total

1.  Tumor hypoxia adversely affects the prognosis of carcinoma of the head and neck.

Authors:  D M Brizel; G S Sibley; L R Prosnitz; R L Scher; M W Dewhirst
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-05-01       Impact factor: 7.038

2.  Cytoplasmic:nuclear ratios in the cytological diagnosis of cancer.

Authors:  D G JOHNSTON
Journal:  Cancer       Date:  1952-09       Impact factor: 6.860

3.  Nivolumab in patients with metastatic DNA mismatch repair-deficient or microsatellite instability-high colorectal cancer (CheckMate 142): an open-label, multicentre, phase 2 study.

Authors:  Michael J Overman; Ray McDermott; Joseph L Leach; Sara Lonardi; Heinz-Josef Lenz; Michael A Morse; Jayesh Desai; Andrew Hill; Michael Axelson; Rebecca A Moss; Monica V Goldberg; Z Alexander Cao; Jean-Marie Ledeine; Gregory A Maglinte; Scott Kopetz; Thierry André
Journal:  Lancet Oncol       Date:  2017-07-19       Impact factor: 41.316

4.  Prognostic significance of tumor-infiltrating lymphocytes for patients with colorectal cancer.

Authors:  Jung Wook Huh; Jae Hyuk Lee; Hyeong Rok Kim
Journal:  Arch Surg       Date:  2012-04

5.  Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade.

Authors:  Pei-Ling Chen; Whijae Roh; Alexandre Reuben; Zachary A Cooper; Christine N Spencer; Peter A Prieto; John P Miller; Roland L Bassett; Vancheswaran Gopalakrishnan; Khalida Wani; Mariana Petaccia De Macedo; Jacob L Austin-Breneman; Hong Jiang; Qing Chang; Sangeetha M Reddy; Wei-Shen Chen; Michael T Tetzlaff; Russell J Broaddus; Michael A Davies; Jeffrey E Gershenwald; Lauren Haydu; Alexander J Lazar; Sapna P Patel; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C Glitza; Scott E Woodman; Luis M Vence; Ignacio I Wistuba; Rodabe N Amaria; Lawrence N Kwong; Victor Prieto; R Eric Davis; Wencai Ma; Willem W Overwijk; Arlene H Sharpe; Jianhua Hu; P Andrew Futreal; Jorge Blando; Padmanee Sharma; James P Allison; Lynda Chin; Jennifer A Wargo
Journal:  Cancer Discov       Date:  2016-06-14       Impact factor: 39.397

6.  Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma.

Authors:  James Larkin; Vanna Chiarion-Sileni; Rene Gonzalez; Jean Jacques Grob; C Lance Cowey; Christopher D Lao; Dirk Schadendorf; Reinhard Dummer; Michael Smylie; Piotr Rutkowski; Pier F Ferrucci; Andrew Hill; John Wagstaff; Matteo S Carlino; John B Haanen; Michele Maio; Ivan Marquez-Rodas; Grant A McArthur; Paolo A Ascierto; Georgina V Long; Margaret K Callahan; Michael A Postow; Kenneth Grossmann; Mario Sznol; Brigitte Dreno; Lars Bastholt; Arvin Yang; Linda M Rollin; Christine Horak; F Stephen Hodi; Jedd D Wolchok
Journal:  N Engl J Med       Date:  2015-05-31       Impact factor: 91.245

7.  Tumor cell oxidative metabolism as a barrier to PD-1 blockade immunotherapy in melanoma.

Authors:  Yana G Najjar; Ashley V Menk; Cindy Sander; Uma Rao; Arivarasan Karunamurthy; Roma Bhatia; Shuyan Zhai; John M Kirkwood; Greg M Delgoffe
Journal:  JCI Insight       Date:  2019-03-07

8.  Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression.

Authors:  Chih-Hao Chang; Jing Qiu; David O'Sullivan; Michael D Buck; Takuro Noguchi; Jonathan D Curtis; Qiongyu Chen; Mariel Gindin; Matthew M Gubin; Gerritje J W van der Windt; Elena Tonc; Robert D Schreiber; Edward J Pearce; Erika L Pearce
Journal:  Cell       Date:  2015-08-27       Impact factor: 41.582

9.  Quantitative diffuse reflectance and fluorescence spectroscopy: tool to monitor tumor physiology in vivo.

Authors:  Gregory M Palmer; Ronald J Viola; Thies Schroeder; Pavel S Yarmolenko; Mark W Dewhirst; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2009 Mar-Apr       Impact factor: 3.170

10.  Preclinical Development of Ipilimumab and Nivolumab Combination Immunotherapy: Mouse Tumor Models, In Vitro Functional Studies, and Cynomolgus Macaque Toxicology.

Authors:  Mark J Selby; John J Engelhardt; Robert J Johnston; Li-Sheng Lu; Minhua Han; Kent Thudium; Dapeng Yao; Michael Quigley; Jose Valle; Changyu Wang; Bing Chen; Pina M Cardarelli; Diann Blanset; Alan J Korman
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

View more
  1 in total

1.  Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy.

Authors:  Santosh Kumar Paidi; Joel Rodriguez Troncoso; Piyush Raj; Paola Monterroso Diaz; Jesse D Ivers; David E Lee; Nathan L Avaritt; Allen J Gies; Charles M Quick; Stephanie D Byrum; Alan J Tackett; Narasimhan Rajaram; Ishan Barman
Journal:  Cancer Res       Date:  2021-10-13       Impact factor: 12.701

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.