Evidence map›Paper›PMID 25892870›Full record

ArticleWorld journal of gastroenterology2015

Multiphoton microscopy for tumor regression grading after neoadjuvant treatment for colorectal carcinoma.

Lian-Huang Li, Zhi-Fen Chen, Xing-Fu Wang, Shuang-Mu Zhuo, Hong-Sheng Li, Wei-Zhong Jiang, Guo-Xian Guan, Jian-Xin Chen

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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

8 authors at 1 institution in 1 country.

Lian-Huang LiLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Zhi-Fen ChenLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Xing-Fu WangLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Shuang-Mu ZhuoLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Hong-Sheng LiLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Wei-Zhong JiangLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Guo-Xian GuanLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Jian-Xin ChenLian-Huang Li, Shuang-Mu Zhuo, Hong-Sheng Li, Jian-Xin Chen, Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian Province, China.
Optics Technology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the feasibility of using multiphoton microscopy (MPM) to assess a tumor regression grading (TRG) system.

methodsFresh specimens from seven patients with colorectal carcinoma undergoing neoadjuvant radiochemotherapy at the Fujian Medical University Union Hospital were obtained immediately after proctectomy. Specimens were serially sectioned (10 µm thickness) and used for MPM or stained with hematoxylin and eosin for comparison. Sections were imaged by MPM using 810 nm excitation, and images were collected in two wavelength channels corresponding to second-harmonic generation (SHG) and two-photon excited fluorescence (TPEF) signals. The ratio of these signal intensities was used to distinguish fibrosis from normal mucosal and serosal tissues.

resultsTRG of specimens assessed by MPM were in complete agreement with histologic grading performed by a consulting pathologist. SHG and TPEF images clearly revealed collagen fibers and fragmented elastic fibers in the muscularis propria specimens following neoadjuvant radiochemotherapy. Additionally, blood vessel hyperplasia was observed as thickening and fibrosis of the intima and media, which was accompanied by minimal inflammatory cell infiltration. Furthermore, the SHG/TPEF ratio in stromal fibrosis (4.15 ± 0.58) was significantly higher than those in the normal submucosal (2.31 ± 0.52) and serosal (1.47 ± 0.10) tissues (P < 0.001 for both). Analysis of emission spectra from cancerous tumor cells revealed two peaks corresponding to nicotinamide adenine dinucleotide hydrogen and flavin adenine dinucleotide signals; the ratio of these values was 1.19 ± 0.02, which is close to a normal metabolic state.

conclusionMPM can be used to perform real-time diagnosis of tumor response after neoadjuvant treatment, and can be applied to evaluate TRG.

Indexed as

Chemoradiotherapy, AdjuvantMicroscopy, Fluorescence, MultiphotonNeoadjuvant TherapyAdenocarcinomaAdultAgedChinaColorectal NeoplasmsFeasibility StudiesFemaleFibrosisHumansMaleMiddle AgedNeoplasm GradingNeoplasm, ResidualMultiphoton microscopyNeoadjuvant treatmentSecond-harmonic generationTumor regression gradingTwo-photon excited fluorescence

Identifiers

PMID25892870
PMCPMC4394081
OpenAlexW2325055724

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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.