Evidence map›Paper›PMID 40883257›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Cell Viability, Drug Screening, and Mechanism Study Under Mild Phototherapy Integrated Chemotherapy (PIC).

Tongge Li, Shihui Wang, Qianhui Ling, Junyi Sun, Ning Yang, Zhanglei Fu, Zhaoyuan Zhang, Si Chen, Yanfei Wang, Ni Yu and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Review
  2. Article
  3. Article
  4. 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

16 authors.

Tongge LiSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Shihui WangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Qianhui LingDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Junyi SunDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Ning YangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Zhanglei FuSchool of Bioengineering, Chongqing University, Chongqing, 400030, China.
Zhaoyuan ZhangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Si ChenFluid Machinery Center, Jiangsu University, Zhenjiang, 212000, China.
Yanfei WangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Ni YuSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Yafei WangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang, 212013, China.
Zhexuan DingSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Haodong LiuSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212000, China.
Yanwei JiaState-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, Faculty of Science and Technology-ECE, University of Macau, Macau, 999078, China.
Yifang WangSchool of Innovative Design, City University of Macau, Macau, 999078, China.
Xingcai ZhangJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.ORCID https://orcid.org/0000-0001-7114-1095

Funding

Jiangsu Provincial Department of Science and Technology BE2023017-2National Key Research and Development Program Young Scientist Project 2022YFD2000200National Natural Science Foundation of China 32171895National Natural Science Foundation of China 52475190
6 · The paper itself

Abstract

Phototherapy integrated chemotherapy (PIC) offers a promising cancer treatment strategy as single chemotherapy approaches are less effective due to tumor heterogeneity and drug resistance, and phototherapy often involves harmful radiation, and the potential of mild phototherapy to enhance chemotherapy remains underexplored. Cancer cells, as key drivers of tumor metastasis, are crucial targets, but current methods for visualizing their response to theranostics are slow. Here, nondestructive real-time impedance spectroscopy to monitor cancer cell response, identifying an optimal light exposure time of 60 min and defined cell viability and resistibility through impedance measurements, achieving high correlation (92.45% and 99.82%) with standard methods is used, and it is demonstrated that mild phototherapy significantly enhance chemotherapy, especially with Lenvatinib in liver cancer cell treatments. Through an in-depth study, the "more light-aiding, less bonding (LALB) mechanism," meaning less conjugated chemical bonding within the excitation threshold, results in more pronounced light-aiding properties, is proposed. This photochemical interaction mechanism confirms that combining phototherapy and chemotherapy offers significant benefits with higher targeting and lower toxic side effects in cancer and disease treatments, providing a new strategy of photochemical interaction and coupling for drug screening and mild phototherapy integrated chemotherapy (mild-PIC) treatment evaluation, and further promotes the development of other advanced biomedical applications.

Indexed as

Antineoplastic AgentsCell SurvivalLiver NeoplasmsPhototherapyCell Line, TumorHumansPhenylurea CompoundsQuinolinesAntineoplastic AgentslenvatinibPhenylurea CompoundsQuinolinescell viabilitydrug screeningimpedanceless bonding (LALB) mechanismlight‐aidingphotochemical couplingphototherapy integrated chemotherapy (PIC)visualization

Identifiers

PMID40883257
PMCPMC12677658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.