Literature DB >> 34130086

Raman and quantitative phase imaging allow morpho-molecular recognition of malignancy and stages of B-cell acute lymphoblastic leukemia.

Santosh Kumar Paidi1, Piyush Raj1, Rosalie Bordett2, Chi Zhang1, Sukrut H Karandikar3, Rishikesh Pandey4, Ishan Barman5.   

Abstract

Acute lymphoblastic leukemia (ALL) is one of the most common malignancies that account for nearly one-third of all pediatric cancers. The current diagnostic assays are time-consuming, labor-intensive, and require expensive reagents. Here, we report a label-free approach featuring diffraction phase imaging and Raman microscopy that can retrieve both morphological and molecular attributes for label-free optical phenotyping of individual B cells. By investigating leukemia cell lines of early and late stages along with the healthy B cells, we show that phase images can capture subtle morphological differences among the healthy, early, and late stages of leukemic cells. By exploiting its biomolecular specificity, we demonstrate that Raman microscopy is capable of accurately identifying not only different stages of leukemia cells but also individual cell lines at each stage. Overall, our study provides a rationale for employing this hybrid modality to screen leukemia cells using the widefield QPI and using Raman microscopy for accurate differentiation of early and late-stage phenotypes. This contrast-free and rapid diagnostic tool exhibits great promise for clinical diagnosis and staging of leukemia in the near future.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  B-ALL; Label-free microscopy; Leukemia; Phenotype recognition; Quantitative phase imaging; Raman spectroscopy; Random forest classification

Mesh:

Year:  2021        PMID: 34130086      PMCID: PMC8492164          DOI: 10.1016/j.bios.2021.113403

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   12.545


  31 in total

1.  Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.

Authors:  Sukrut Hemant Karandikar; Chi Zhang; Akilan Meiyappan; Ishan Barman; Christine Finck; Pramod Kumar Srivastava; Rishikesh Pandey
Journal:  Anal Chem       Date:  2019-02-22       Impact factor: 6.986

2.  Real-time visualization of 3-D dynamic microscopic objects using optical diffraction tomography.

Authors:  Kyoohyun Kim; Kyung Sang Kim; Hyunjoo Park; Jong Chul Ye; Yongkeun Park
Journal:  Opt Express       Date:  2013-12-30       Impact factor: 3.894

Review 3.  Microscopic imaging and spectroscopy with scattered light.

Authors:  Nada N Boustany; Stephen A Boppart; Vadim Backman
Journal:  Annu Rev Biomed Eng       Date:  2010-08-15       Impact factor: 9.590

4.  Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse.

Authors:  Zinaida Good; Jolanda Sarno; Astraea Jager; Nikolay Samusik; Nima Aghaeepour; Erin F Simonds; Leah White; Norman J Lacayo; Wendy J Fantl; Grazia Fazio; Giuseppe Gaipa; Andrea Biondi; Robert Tibshirani; Sean C Bendall; Garry P Nolan; Kara L Davis
Journal:  Nat Med       Date:  2018-03-05       Impact factor: 53.440

5.  Classification of pediatric acute lymphoblastic leukemia by gene expression profiling.

Authors:  Mary E Ross; Xiaodong Zhou; Guangchun Song; Sheila A Shurtleff; Kevin Girtman; W Kent Williams; Hsi-Che Liu; Rami Mahfouz; Susana C Raimondi; Noel Lenny; Anami Patel; James R Downing
Journal:  Blood       Date:  2003-05-01       Impact factor: 22.113

6.  Cellular normoxic biophysical markers of hydroxyurea treatment in sickle cell disease.

Authors:  Poorya Hosseini; Sabia Z Abidi; E Du; Dimitrios P Papageorgiou; Youngwoon Choi; YongKeun Park; John M Higgins; Gregory J Kato; Subra Suresh; Ming Dao; Zahid Yaqoob; Peter T C So
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-10       Impact factor: 11.205

7.  DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia.

Authors:  Mats G Gustafsson; Gudmar Lönnerholm; Erik Forestier; Ann-Christine Syvänen; Jessica Nordlund; Christofer L Bäcklin; Vasilios Zachariadis; Lucia Cavelier; Johan Dahlberg; Ingegerd Öfverholm; Gisela Barbany; Ann Nordgren; Elin Övernäs; Jonas Abrahamsson; Trond Flaegstad; Mats M Heyman; Ólafur G Jónsson; Jukka Kanerva; Rolf Larsson; Josefine Palle; Kjeld Schmiegelow
Journal:  Clin Epigenetics       Date:  2015-02-17       Impact factor: 6.551

8.  Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes.

Authors:  Paul T Winnard; Chi Zhang; Farhad Vesuna; Jeon Woong Kang; Jonah Garry; Ramachandra Rao Dasari; Ishan Barman; Venu Raman
Journal:  Oncotarget       Date:  2017-03-21

9.  Longitudinal study of mammary epithelial and fibroblast co-cultures using optical coherence tomography reveals morphological hallmarks of pre-malignancy.

Authors:  Raghav K Chhetri; Zachary F Phillips; Melissa A Troester; Amy L Oldenburg
Journal:  PLoS One       Date:  2012-11-12       Impact factor: 3.240

10.  Ultra high content image analysis and phenotype profiling of 3D cultured micro-tissues.

Authors:  Zi Di; Maarten J D Klop; Vasiliki-Maria Rogkoti; Sylvia E Le Dévédec; Bob van de Water; Fons J Verbeek; Leo S Price; John H N Meerman
Journal:  PLoS One       Date:  2014-10-07       Impact factor: 3.240

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  1 in total

1.  Raman spectroscopy reveals phenotype switches in breast cancer metastasis.

Authors:  Santosh Kumar Paidi; Joel Rodriguez Troncoso; Mason G Harper; Zhenhui Liu; Khue G Nguyen; Sruthi Ravindranathan; Lisa Rebello; David E Lee; Jesse D Ivers; David A Zaharoff; Narasimhan Rajaram; Ishan Barman
Journal:  Theranostics       Date:  2022-07-11       Impact factor: 11.600

  1 in total

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