Evidence map›Paper›PMID 39618804›Full record

ReviewBiophysical reviews2024

Recent advances in label-free imaging techniques based on nonlinear optical microscopy to reveal the heterogeneity of the tumor microenvironment.

Ishita Chakraborty, Nirmal Mazumder, Ankur Gogoi, Ming-Chi Chen, Guan Yu Zhuo

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Biophysical reviews · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ishita ChakrabortyDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Nirmal MazumderDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Ankur GogoiDepartment of Physics, Jagannath Barooah University, Jorhat, Assam 785001 India.
Ming-Chi ChenInstitute of Translational Medicine and New Drug Development, China Medical University, No. 91, Hsueh-Shih Road, Taichung, 404328 Taiwan.
Guan Yu ZhuoInstitute of Translational Medicine and New Drug Development, China Medical University, No. 91, Hsueh-Shih Road, Taichung, 404328 Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a complex and dynamic network that significantly influences cancer progression. Understanding its intricate components, including the extracellular matrix (ECM), stromal cells, immune cells, and vascular endothelial cells, is crucial for developing effective cancer therapies. Conventional diagnostic methods, while essential, have limitations in sensitivity, specificity, and invasiveness. Label-free multimodal nonlinear optical (MNLO) microscopy offers a promising alternative, enabling detailed imaging without external labels. Techniques such as second harmonic generation (SHG), third harmonic generation (THG), coherent anti-Stokes Raman scattering (CARS), and two-photon fluorescence (TPF) provide complementary insights into the TME. SHG is particularly effective for imaging collagen fibers, while CARS highlights lipid-rich structures, and THG and TPF offer high-resolution imaging of cellular and subcellular structures. These modalities reveal crucial information about tumor progression, including changes in collagen organization and lipid metabolism, and allow for the study of cellular interactions and ECM remodeling. Multimodal setups, combining SHG, CARS, THG, and TPF, enable comprehensive analysis of the TME, facilitating the identification of early-stage cancerous changes and tracking of tumor progression. Despite the advantages of MNLO microscopy, such as reduced photodamage and the ability to image live tissues, challenges remain, including the complexity and cost of the setups. Addressing these challenges through technological advancements and optimization can enhance the applicability of MNLO microscopy in clinical diagnostics and cancer research, ultimately contributing to improved cancer diagnosis, prognosis, and treatment strategies.

Indexed as

CollagenNonlinear optical microscopySecond harmonic generation microscopyThird harmonic generation microscopyTumor microenvironmentTwo-photon fluorescence microscopy

Identifiers

PMID39618804
PMCPMC11604897

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.