Are community oncology practices with/without clinical research programs different? A comparison of patient and practice characteristics.

PURPOSE: Expanding access to clinical trials in community settings is a potential approach to addressing disparities in accrual of historically underrepresented populations. However, little is known about the characteristics of practices that do not participate in research. We investigated differences in patient and practice characteristics of US community oncology practices with high vs low engagement in clinical research. METHODS: We included patients from a real-world, nationwide electronic health record-derived, de-identified database who received active treatment for cancer at community oncology practices between 11/1/17 and 10/31/22. We assessed patient and practice characteristics and their associations with high vs low research engagement using descriptive analyses and logistic regression models. RESULTS: Seventy (39.3%) of 178 practices had high research engagement, treated 57.8% of the overall 568,540 patient cohort, and enrolled 3.25% of their patients on cancer treatment trials during the five-year observation period (v 0.27% enrollment among low engagement practices). Practices with low vs high research engagement treated higher proportions of the following patient groups: ages > =75 (24.2% v 21.8%), non-Latinx Black (12.6% v10.3%) or Latinx (11.6% v 6.1%), were within the lowest socioeconomic status quintile (21.9% v 16.5%), and were uninsured or had no documented insurance (22.2% v 13.6%). CONCLUSION: Patient groups historically underrepresented in oncology clinical trials are more likely to be treated at community practices with limited or no access to trials. These results suggest that investments to expand the clinical research footprint among practices with low research engagement could help address persistent inequities in trial representation.

Broadening Eligibility Criteria and Diversity among Patients for Cancer Clinical Trials.

BACKGROUND: Certain populations have been historically underrepresented in clinical trials. Broadening eligibility criteria is one approach to inclusive clinical research and achieving enrollment goals. How broadened trial eligibility criteria affect the diversity of eligible participants is unknown. METHODS: Using a nationwide electronic health record-derived deidentified database, we identified a retrospective cohort of patients diagnosed with 22 cancer types between April 1, 2013 and December 31, 2022 who received systemic therapy (N=235,234) for cancer. We evaluated strict versus broadened eligibility criteria using performance status and liver, kidney, and hematologic function around first line of therapy. We performed logistic regression to estimate odds ratios for exclusion by strict criteria and their association with measures of patient diversity, including sex, age, race or ethnicity, and area-level socioeconomic status (SES); estimated the impact of broadening criteria on the number and distribution of eligible patients; and performed Cox regression to estimate hazard ratios for real-world overall survival (rwOS) comparing patients meeting strict versus broadened criteria. RESULTS: When applying common strict cutoffs for eligibility criteria to patients with complete data and weighting each cancer type equally, 48% of patients were eligible for clinical trials. Female (odds ratio, 1.30; 95% confidence interval [CI], 1.25 to 1.35), older (age 75+ vs. 18 to 49 years old: odds ratio, 3.04; 95% CI, 2.85 to 3.24), Latinx (odds ratio, 1.46; 95% CI, 1.39 to 1.54), non-Latinx Black (odds ratio, 1.11; 95% CI, 1.06 to 1.16), and lower-SES patients were more likely to be excluded using strict eligibility criteria. Broadening criteria increased the number of eligible patients by 78%, with the strongest impact for older, female, non-Latinx Black, and lower-SES patients. Patients who met only broadened criteria had worse rwOS versus those with strict criteria (hazard ratio, 1.31; 95% CI, 1.27 to 1.34). CONCLUSIONS: Data-driven evaluation of clinical trial eligibility criteria may optimize the eligibility of certain historically underrepresented groups and promote access to more inclusive trials. (Sponsored by Flatiron Health.).

Application of waste derived magnetic acid-base bifunctional CoFe/biochar/CaO as an efficient catalyst for biodiesel production from waste cooking oil.

The loss of active components, weak acid resistance, and low recover efficiency of common Ca-based catalysts limited its further development and application. In this study, to effectively produce biodiesel from waste cooking oil (WCO), a green and recyclable magnetic acid-base bifunctional CoFe/biochar/CaO catalyst was prepared from sargassum and river snail shell waste via hydrothermal method. The catalysts' structure and properties were investigated by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), CO2/NH3 temperature programmed desorption (CO2/NH3 TPD), etc., The prepared catalyst mainly consisted of the carbon skeleton, CoFe alloy, and CaO. CoFe alloy provided catalyst's ferromagnetism for magnetic separation as well as acid sites for transesterification of WCO. Ca and other metal species with nanoscale (∼5.64 nm) were dispersively anchored on sargassum biochar surface, thereby leading to good catalytic activity (99.21% biodiesel yield) and stability (91.70% biodiesel yield after the 5th cycle). In addition, response surface methodology-Box-Behnken design (RSM-BBD) revealed the optimal operational conditions were 16:1 methanol/oil molar ratio, 3 wt% catalyst dosage, 73 °C for 157 min. The maximum biodiesel yield predicted value was 98.29% and the experimental value was 99.21%, indicating good satisfaction of the established model. Moreover, the quality of WCO biodiesel met the ASTM D6751 standards. This study benefits magnetic waste-derived acid-base bifunctional catalysts for the disposal of WCO towards sustainable biodiesel production.

An oxygen vacancy-modulated bifunctional S-NiMoO4 electrocatalyst for efficient alkaline overall water splitting.

S-doped nickel molybdate nanorods grown on nickel foam (S-NiMoO4/NF) were fabricated by a two-step hydrothermal method. The resultant S-NiMoO4/NF exhibited remarkable bifunctional electrocatalytic activity, with overpotentials of 235 mV for the hydrogen evolution reaction and 150 mV for the oxygen evolution reaction at a current density of 50 mA cm-2. Assembled into the two-electrode S-NiMoO4/NF electrolyzer in alkaline electrolytes for overall water splitting, it required only low cell voltages of 1.55 V and 1.63 V to drive 50 mA cm-2 and 100 mA cm-2, respectively. No significant performance degradation occurred during the water electrolysis process. The experimental results confirmed that S-doping induced the increase of the oxygen vacancies, accelerating the reaction kinetics and thus improving the electrocatalytic performance. Meanwhile, more active sites exposure on the surface of S-NiMoO4/NF enhanced the reactivity. This work may guide the development of efficient bifunctional catalysts in alkaline electrolysis through oxygen vacancy regulation.

Sex Estimation of Medial Aspect of the Ischiopubic Ramus in Adults Based on Deep Learning.

OBJECTIVES: To investigate the reliability and accuracy of deep learning technology in automatic sex estimation using the 3D reconstructed images of the computed tomography (CT) from the Chinese Han population. METHODS: The pelvic CT images of 700 individuals (350 males and 350 females) of the Chinese Han population aged 20 to 85 years were collected and reconstructed into 3D virtual skeletal models. The feature region images of the medial aspect of the ischiopubic ramus (MIPR) were intercepted. The Inception v4 was adopted as the image recognition model, and two methods of initial learning and transfer learning were used for training. Eighty percent of the individuals' images were randomly selected as the training and validation dataset, and the remaining were used as the test dataset. The left and right sides of the MIPR images were trained separately and combinedly. Subsequently, the models' performance was evaluated by overall accuracy, female accuracy, male accuracy, etc. RESULTS: When both sides of the MIPR images were trained separately with initial learning, the overall accuracy of the right model was 95.7%, the female accuracy and male accuracy were both 95.7%; the overall accuracy of the left model was 92.1%, the female accuracy was 88.6% and the male accuracy was 95.7%. When the left and right MIPR images were combined to train with initial learning, the overall accuracy of the model was 94.6%, the female accuracy was 92.1% and the male accuracy was 97.1%. When the left and right MIPR images were combined to train with transfer learning, the model achieved an overall accuracy of 95.7%, and the female and male accuracies were both 95.7%. CONCLUSIONS: The use of deep learning model of Inception v4 and transfer learning algorithm to construct a sex estimation model for pelvic MIPR images of Chinese Han population has high accuracy and well generalizability in human remains, which can effectively estimate the sex in adults.

Cyclic Olefin Terpolymers with High Refractive Index and High Optical Transparency.

Cyclic olefin copolymer (COC) is one of the most promising optical materials; however, the brittle COC suffers from issues including a low refractive index. In this contribution, by the introduction of high refractive index comonomers including phenoxy substituted α-olefin (C4OAr), p-tolylthio substituted α-olefin (C4SAr) and carbazolyl substituted α-olefins (C4NAr, C3NAr, and C2NAr), the zirconocene mediated terpolymerization of ethylene (E) and tetracyclododecene (TCD) produces the preferred E-TCD-CnNAr (n = 2, 3, and 4) cyclic olefin terpolymers (COT) with tunable compositions (TCD: 11.5- 35.8 mol %, CnNAr: 1.2-5.0 mol %), high molecular weights and high glass transition temperatures (up to 167 °C) in high catalytic activities. Compared to the E-TCD copolymer (COC) material, these COT materials show the comparable thermal decomposition temperature (Td,5% = 437 °C), slightly higher strain at break value (up to 7.4%) and higher tensile strength (up to 60.5 MPa). In particular, these noncrystalline optical COT materials have significantly higher refractive indices of 1.550-1.569 and are more transparent (transmittance: 93-95%), relative to the COC materials, indicative of an excellent optical material.

Extent of safety database in pediatric drug development: types of assessment, analytical precision, and pathway for extrapolation through on-target effects.

Pediatric patients should have access to medicines that have been appropriately evaluated for safety and efficacy through revised labelling. Given this goal, the adequacy of the pediatric clinical development plan and resulting safety database are critical factors to inform a favorable benefit-risk assessment for the intended use of the medicinal product. While extrapolation from adults can be used to support efficacy of drugs in children, there may be a reluctance to use the same approach in safety assessments, wiping out potential gains in trial efficiency through a reduction of sample size. To address this issue, we explore safety review in pediatric trials, including specific types of safety assessments and precision on the estimation of event rates for specific adverse events (AEs) that can be achieved. In addition, we discuss the assessments which can provide a benchmark for the use of extrapolation of safety that focuses on on-target effects. Finally, we explore a unified approach for understanding precision using Bayesian approaches as the most appropriate methodology to describe or ascertain risk in probabilistic terms for the estimate of the event rate of specific AEs.

Recent Use of Pediatric Extrapolation in Pediatric Drug Development in US.

The regulatory standards of the United States Food and Drug Administration (FDA) require substantial evidence of effectiveness from adequate and well-controlled trials, for drugs developed in both adults and children. However, when scientifically justified, relying on extrapolation may be acceptable. Historically, the FDA's extrapolation approach was based on draft guidance published in 2014, which introduced the categories of full, partial, and no extrapolation. The European Medicines Agency (EMA) took a different view on pediatric extrapolation. To better understand the use of extrapolation to support pediatric drug development and approval, we reviewed the pediatric labeling changes published by the FDA, focusing on the labeling updates between 1/1/2015 and 7/31/2021, the period where the extrapolation approach is in transition to harmonize with the EMA. Within this time window, among the 265 drugs and biological products with pediatric labeling changes, 169 (63.8%) were identified where extrapolation was used. This includes 64 (24.2%) labeling changes, where full extrapolation was used, and 105 (39.6%) labeling changes, where partial extrapolation was used. The major disease areas that extrapolation was used include neuroscience (40/53, 75.5%) and infectious disease (20/28, 71.4%). The extrapolation approach was identified in terms of source population beyond the use of adult as well as extrapolation from clinical trials conducted in the same drug class. The use of extrapolation increased the rates of new and expanded pediatric indication in the period. This review gives the most recent landscape of pediatric labeling changes using extrapolation. With the released ICH (International Council for Harmonization) E11A guidance in April 2022, the paper also provides insights for future pediatric drug development programs.

Improving Diversity in Clinical Trials by Using Real-world Data to Define Eligibility Criteria.

This Viewpoint discusses the need for thoughtful, modernized eligibility criteria with equity prioritization in clinical trials.

A Nomogram Model for Predicting the Postoperative Recurrence of Localized Laryngeal Amyloidosis.

OBJECTIVE: To analyze the factors related to postoperative recurrence in patients with localized laryngeal amyloidosis (LocLA) and to construct a nomogram prediction model (NPM). METHODS: We collected the data for LocLA patients diagnosed from March 2000 to May 2019 and clinical characteristics data were extracted. Factors related to recurrence were analyzed using multivariate logistic regression. The NPM was constructed for predicting the recurrence risk of LocLA. The receiver operating characteristic (ROC) curve evaluated the distinguishing ability using the area under curve (AUC). The calibration curve was created to evaluate the consistency of the NPM. RESULTS: A total of 226 confirmed LocLA cases were included. One hundred seventy-five cases (77.4%) had localized single nodule, and 51 cases had more than one lesions. Sixty-three (27.9%) cases had no multinucleated giant cell (MGC) around amyloid, and 163 (72.1%) cases had MGC around amyloid. Multivariate logistic regression analysis showed that more than one lesions (odds ratio [OR] = 3.206 and 95% confidence interval [CI]: 1.492-6.888; P value: .003), subglottic involvement (OR = 2.926 and 95% CI: 1.300-6.585; P = .010), and no multinucleated giant cell (MGC) around amyloid (OR = 2.503 and 95% CI: 1.173-5.342; P = .018) had a statistically significant effect on postoperative LocLA recurrence (P < .05). The AUC of the ROC curve was 0.753 (95% CI: 0.667-0.832). The bias-corrected curve approached the ideal curve, with an average absolute error of 0.037. CONCLUSIONS: More than one lesions, subglottic involvement, and no MGC around amyloid are risk factors for postoperative recurrence of LocLA. The NPM constructed has good applicability.

Oxygen self-supplied upconversion nanoplatform loading cerium oxide for amplified photodynamic therapy of hypoxic tumors.

Photodynamic therapy (PDT) has been widely used in preclinical trials for treating various tumors. However, the hypoxic environment of tumors and the limited penetration depth of ultraviolet light severely weaken the PDT effect. To solve the above problems, a near-infrared (NIR) light-triggered oxygen (O2) self-supplied phototherapeutic platform (UCNPs/CeO2/Ce6/BSA) for amplified PDT performance against solid tumors by alleviating tumor hypoxia has been rationally developed. The platform has excellent stability and can continuously decompose H2O2 for sustained O2 supply to synergize 1O2 generation, thus inducing an enhanced mortality rate (59%) of ID8 cells in vitro under hypoxic + H2O2 conditions. The growth of solid tumors was effectively inhibited and the mouse survival rate was dramatically enhanced via a superior PDT therapeutic performance. This reported study facilitated the positive development of multifunctional diagnosis and treatment platforms under long-wavelength excitation for O2 self-supplied tumor treatments.

Surface-enhanced Raman scattering from an electromagnetic induced transparency substrate for the determination of hepatocellular carcinoma.

Surface-enhanced Raman scattering (SERS) is a powerful analytical method that is especially suitable for the detection of protein molecules. Detection sensitivity of SERS is directly related to the enhancement factor of the substrate, which is dependent on the strength of a local surface electric field generated by surface plasmonic resonance from substrate. In this study, an electromagnetic induced transparency like (EIT-like) metamaterial was used as the SERS substrate. The corresponding plasmonic resonance structure not only produces stronger optical near field but also reduces the spectral line broadening due to radiation damping. This is very beneficial for SERS process, which is strongly dependent on electric field intensity, to improve the sensitivity of SERS detection. Compared with the single resonance mode substrate, the enhancement factor for SERS with the double-mode substrate was increased by an order of magnitude. The obtained EIT-like substrate was used as a SERS-active substrate to detect Lens culinaris agglutinin (LCA)-reactive fraction of AFP (AFP-L3), a hepatocellular carcinoma (HCC)-specific maker. Experimental results are in good agreement with the clinical diagnosis, which demonstrates the potential application of metamaterials in the SERS-based diagnosis and biosensing.

In vivo two-photon fluorescence lifetime imaging microendoscopy based on fiber-bundle.

Fluorescence lifetime imaging microendoscopy (FLIME) has been reported to investigate the physicochemical microenvironment in biological tissue. In this work, we designed a two-photon (TP) FLIME system based on a fiber-bundle glued with an achromatic mini-objective with 1.4-mm diameter, which was coupled to a standard TP microscope containing a dispersion precompensation module in the laser source. With 840 nm excitation, the field of view and lateral resolution of our system are 390 µm and 1.55 µm, respectively. To examine the capability of imaging in vivo, we obtained Z-stack (0-130 µm) TP-FLIME images from the intestine's surface of a mouse injected with squaraine dye. Further, we utilized the TP-FLIME system to image the kidney, liver, and xenografted tumor at 100-µm depth in vivo with cellular resolution, which features the distribution of cells and tissue structures with better contrast than intensity images. These results demonstrated that the proposed system is capable of measuring fluorescence lifetime in situ and provides a powerful tool to research the deep tissue microenvironment naturally.

Visual signal sensor coupling to nitrification for sustainable monitoring of trichloroacetaldehyde and the response mechanisms.

In this work, a toxicity monitoring microbial system (TMMS) with a nitrifying biofilm as a sensing element and cathode oxygen reduction as an electrical signal was successfully constructed for trichloroacetaldehyde (TCAL) detection. The current and nitrification rate showed a linear relationship with TCAL concentration from 0 to 100 µg/L (R2current = 0.9892, R2nitrification = 0.9858), indicating that the target substrate concentration can be directly obtained from an electrical signal without further sample concentration. High-throughput sequencing revealed that the TMMS was composed of autotrophic/heterotrophic nitrifying and denitrifying microorganisms. Further analysis via a symbiotic relationship network demonstrated that unclassified_Comamonadaceae and unclassified_Xanthobacteraceae were the core nodes for maintaining the interaction between autotropic and heterotrophic nitrifying bacteria. Kyoto Encyclopedia of Genes and Genomes analysis showed that the electron transfer process primarily relied on ferredoxin and cytochromes under TCAL stress, and the abundance of functional enzymes involved in the process of nitrification was decreased, resulting in changes in electrical signal output. This work explored a visual signal sensor combined with electrochemistry and autotrophic/heterotrophic nitrification, which provided new insights into recognition and response mechanisms for microbial monitoring of toxic substances.

Nitric oxide release activated near-Infrared photothermal agent for synergistic tumor treatment.

Activatable phototherapeutic agents (PTA) in one system with synergistic gas therapy (GT) and photothermal therapy (PTT) hold great promise for highly efficient tumor treatments. In this study, an activatable multifunctional platform with photothermal conversion "turn on" features via nitric oxide (NO) release for synergistic GT and PTT was rationally designed using an aryl N-nitrosamine (NO-donating unit) functionalized aza-BODIPY framework (S-NO). As expected, after NO release from S-NO, the product (Red-S) showed obviously enhanced heat production performance under a longer excited wavelength via improved near-infrared light absorption and decreased fluorescence emission. Furthermore, water-soluble and biocompatible S-NO nanoparticles (S-NO NPs) with negligible dark cytotoxicity successfully suppressed tumor growth and enhanced the survival rate of mice via synergistic GT and PTT under the guidance of multimode imaging. The study offered rational guidance to design better platforms for synergistic tumor treatments and validated that S-NO NPs can act as potential PTAs in biological applications.

Investigating tunneling nanotubes in ovarian cancer based on two-photon excitation FLIM-FRET.

Precise and efficient cell-to-cell communication is critical to the growth and differentiation of organisms, the formation of various organism, the maintenance of tissue function and the coordination of their various physiological activities, especially to the growth and invasion of cancer cells. Tunneling nanotubes (TNTs) were discovered as a new method of cell-to-cell communication in many cell lines. In this paper, we investigated TNTs-like structures in ovarian cancer cells and proved their elements by fluorescent staining, which showed that TNTs are comprised of natural lipid bilayers with microtubules as the skeleton that can transmit ions and organelles between adjacent cells. We then used fluorescence resonance energy transfer (FRET) based on two-photon excitation fluorescence lifetime imaging microscopy (FLIM) (TP-FLIM-FRET) to detect material transport in TNTs. The experimental results showed that the number of TNTs have an impact on the drug treatment of cancer cells, which provided a new perspective for TNTs involvement in cancer treatment. Our results also showed that TP-FLIM-FRET would potentially become a new optical method for TNTs study.

Review of Stimulated Raman Scattering Microscopy Techniques and Applications in the Biosciences.

Stimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. Featuring high speed, high resolution, high sensitivity, high accuracy, and 3D sectioning, SRS microscopy has made tremendous progress toward biochemical information acquisition, cellular function investigation, and label-free medical diagnosis in the biosciences. In this review, the principle of SRS, system design, and data analysis are introduced, and the current innovations of the SRS system are reviewed. In particular, combined with various bio-orthogonal Raman tags, the applications of SRS microscopy in cell metabolism, tumor diagnosis, neuroscience, drug tracking, and microbial detection are briefly examined. The future prospects for SRS microscopy are also shared.

Gut-derived Shewanella induces the differentially expressed proteins in leukocytes of Lampetra japonica.

Lampreys, one of the most basal jawless vertebrates, are an excellent animal model for investigating vertebrate evolution, embryonic development, and the origin of adaptive immunity. Gut-derived Shewanella strain was isolated and then proved to induce adaptive immunity response in lampreys. Using Shewanella as the antigen, the effect of gut-derived Shewanella on lamprey leukocyte proteome was investigated via label-free liquid chromatography-tandem mass spectrometry for quantitative proteomics analysis. Twenty-five differentially expressed proteins in lamprey leukocytes were identified with significant differences. The differentially expressed proteins were associated with several biological processes. Among these proteins, the signal transducer and activator of transcription 3 (STAT3) was significantly upregulated in leukocytes after Shewanella immunization, indicating that lamprey STAT3 (L-STAT3) was involved in Shewanella-lamprey interactions. Expression pattern analysis revealed that L-STAT3 was mainly distributed in the cytoplasm and upregulated in other tissues after Shewanella immunization. Moreover, L-STAT3 overexpression could promote HEK-293 T and HeLa cell proliferation. However, the functions of L-STAT3 in the adaptive immune response of lamprey induced by gut-derived Shewanella remain to be explored. Overall, the identification of leukocyte proteins involved in Shewanella-lamprey interactions provides important information for understanding the variable lymphocyte receptor-based adaptive immune signal pathways in lampreys. SIGNIFICANCE: Lampreys are considered to be an excellent animal model for studying the origin and development of adaptive immune systems in vertebrates. Lampreys use variable lymphocyte receptors (VLRs) in recognizing antigens. However, the understanding of the VLR-based adaptive immune signal pathways in lampreys remains unclear. Intestinal bacteria could regulate the development of host immune systems. The attempts of inducing lamprey leukocyte differentially expressed proteins using the gut bacterial as the antigen will supply an promising avenue to explore the molecular mechanism of the intestinal bacteria interaction with it's host. Also, the identification of differentially expressed proteins involved in interactions between gut-derived Shewanella and lamprey will supply clues for understanding the variable lymphocyte receptor-based adaptive immune signal pathways in lampreys.

Highly stable organic photothermal agent based on near-infrared-II fluorophores for tumor treatment.

BACKGROUND: The aim to develop a highly stable near-infrared (NIR) photoinduced tumor therapy agent stems from its considerable potential for biological application. Due to its long wavelength, biological imaging exhibits a high signal-to-background ratio, deep tissue penetration and maximum permissible light power, which can minimize damage to an organism during photoinduced tumor therapy. RESULTS: A class of stable NIR-II fluorophores (NIR998, NIR1028, NIR980, NIR1030, and NIR1028-S) based on aza-boron-dipyrromethene (aza-BODIPY) dyes with donor-acceptor-donor structures have been rationally designed and synthesized by harnessing the steric relaxation effect and intramolecular photoinduced electron transfer (IPET). These fluorophores exhibit an intense range of NIR-II emission, large Stokes shift (≥ 100 nm), excellent photothermal conversion performance, and superior stability against photobleaching. Among the NIR-II fluorophores, NIR998 possesses better NIR-II emission and photothermal conversion performance. NIR998 nanoparticles (NIR998 NPs) can be encapsulated by liposomes. NIR998 NPs show superior stability in the presence of light, heat, and reactive oxygen nitrogen species than that of indocyanine green NPs, as well as a higher photothermal conversion ability (η = 50.5%) compared to other photothermal agents. Finally, under the guidance of photothermal imaging, NIR998 NPs have been proven to effectively eliminate tumors via their excellent photothermal conversion performance while presenting negligible cytotoxicity. CONCLUSIONS: Utilizing IPET and the steric relaxation effect can effectively induce NIR-II emission of aza-BODIPY dyes. Stable NIR998 NPs have excellent photothermal conversion performance and negligible dark cytotoxicity, so they have the potential to act as photothermal agents in biological applications.

Monitoring the extracellular matrix remodeling of high-grade serous ovarian cancer with nonlinear optical microscopy.

The mortality of high-grade serous ovarian cancer (HGSOC) accounts for 70% to 80% of all ovarian cancer deaths and overall mortality rate has not declined in the last decade. Recently, many studies have demonstrated that HGSOC originates from the fallopian tubes. The extracellular matrix (ECM) is present in all tissues, its remodeling and interaction with cells are crucial for regulating cell proliferation, migration, and differentiation. In this paper, we used label-free nonlinear optical microscopy to image tissues of the fallopian tube and ovary. Combining a set of image processing algorithms, we monitored the remodeling of ECM in the fallopian tube and ovary during the invasion of primary serous fallopian tube tumor into the ovary in microscopic dimension. With this approach, we can obtain physiological information of HGSOC at the early stage, which provided useful data for auxiliary clinical diagnosis.