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. 2021 Jul 20;9:665841. doi: 10.3389/fchem.2021.665841

Perspective of Future SERS Clinical Application Based on Current Status of Raman Spectroscopy Clinical Trials

Xi Xi 1, Chongyang Liang 2,*
PMCID: PMC8329355  PMID: 34354978

Abstract

Raman spectroscopy has emerged as a promising tool in biomedical analysis and clinical diagnosis. The development of surface-enhanced Raman scattering spectroscopy (SERS) improved the detection limit with ultrahigh sensitivity and simplicity. More and more Raman spectroscopy clinical trials (R-PCT) have been conducted recently. However, there is a lack of an up-to-date review summarizing the current status of Raman clinical trials performed until now. Hence, the clinical trials for Raman were retrieved from the International Clinical Trials Registration Platform. We summarized the clinical characteristics of 55 registered Raman spectroscopy clinical trials (R-RSCTs) and 44 published Raman spectroscopy clinical trials (P-RSCTs). This review could assist researchers and clinicians to understand the current status of Raman spectroscopy clinical research and perhaps could benefit the reasonable and accurate design of future SERS studies.

Keywords: surface-enhanced raman spectroscopy, clinical trial, raman spectroscopy, disease, sample selection

Introduction

After the discovery of inelastic scattering of light by CV Raman in 1928, the phenomenon was reported in biomedical application for the first time in 1970 (Raman and Krishnan, 1928; Lord and Yu, 1970). In the progress of light scattering, most photons maintain the same energy and wavelength after interacting with matter (Raman and Krishnan, 1928; Auner et al., 2018). But a very small portion of photons is linearly inelastically scattered, resulting in loss of energy, and a longer wavelength (Raman and Krishnan, 1928; Wang et al., 2018). The shift of the wavelength is called Raman shift, which is inversely proportional to the change in the photons’ wavelength (Jones et al., 2019). The intensity of the Raman spectrum against Raman shift was expressed in wavenumbers with the units of cm−1 (Raman and Krishnan, 1928; Pilot et al., 2019). The Raman spectrum gives a directly objective picture of the molecular composition (Sahu et al., 2013).

The measurement of Raman spectroscopy is a fast, label-free, and noninvasive progress. Hence, it has many advantages in biomedical applications. The harmfulness of laser used in Raman spectroscopy can be reduced by selecting the right wavelength and power, and Raman signals provide the molecular information of tissue and cells directly (Lee et al., 2019; Chaiken and Peterson, 2021). But the natural intensity of the Raman signal was low, which resulted in low signal-to-noise ratios (Pence and Mahadevan-Jansen, 2016). In recent years, different types of Raman spectroscopy were developed to improve the sensitivity and specificity of Raman scattering, including resonance Raman spectroscopy (RRS), surface-enhanced Raman spectroscopy (SERS), and tip-enhanced Raman spectroscopy (TERS) (Bailo and Deckert, 2008; Stiles et al., 2008; Robert, 2009). The enhancement of Raman signal for RRS, SERS, and TERS was reported by a factor of 102 to 106, 105 to 1010, and 1010, respectively (Auner et al., 2018). The enhancement of Raman spectroscopy attracted attention in clinics because of its high sensitivity (Cialla-May et al., 2017).

SERS is particularly interesting because the Raman signal can be controlled by modifying a designated probe on the surface to detect the specific analytes (Stiles et al., 2008). Raman signals of molecules adsorbed on the metal surface were amplified by generating a localized surface plasmon resonance under an incident electromagnetic field (Lee and Tseng, 2018; Pilot et al., 2019). Based on the knowledge of molecular interaction in vivo, such as the antibody–antigen and complementary sequences of DNA and RNA, SERS is employed to quantify drugs and biomolecules in complex systems such as blood and tissue due to its high sensitivity and specificity (Henry et al., 2016; Xue et al., 2018). SERS was also developed to be applied in surgical margin guidance such as ovarian cancer and brain tumor (Jiang et al., 2019). SERS preferred liquid samples, for example, biofluids and cells, due to the additive metallic nanoparticles and the limited detection distance (less than tens of nanometers) between analytes and metallic surfaces (Pence and Mahadevan-Jansen, 2016). To develop SERS and Raman spectroscopy better, it is necessary to understand the current status of their clinical trials.

Raman spectroscopy has been in clinical phases since 2003 (U.S. National Library of Medicine, 2003). Until now, there has been no review to characterize the clinical status of Raman spectroscopy clinical trials. In this review, we retrieved the registered Raman spectroscopy clinical trials (R-RSCTs) in trial registries of ICTRP with standardized process requirements for the first time. We summarized basic clinical characteristics, disease classification, and sample classification in ongoing and completed clinical trials to update the current status. Published Raman spectroscopy clinical trials (P-PSCTs) were also retrieved and summarized due to the lack of updated results of the R-RSCTs. Moreover, the current SERS clinical application was summarized, and its future prospect was discussed based on the above results. This could benefit the reasonable and accurate designs of future SERS studies.

The Current Status of Raman Spectroscopy Clinical Trials: The Methods

Search Strategy

The preparation for the data of registered Raman spectroscopy clinical trials (R-RSCTs) was conducted (Figure 1): the registration database of WHO registries through the International Clinical Trials Registry Platform (ICTRP) Search Portal (http://apps.who.int/trialsearch) was used to get registration items concerning R-RSCTs by searching for the key word “Raman.” The records of non-related ones will be excluded one by one.

FIGURE 1.

FIGURE 1

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(A) Flowchart of Raman spectroscopy clinical trial selection, (B) characterization of study types of registered Raman spectroscopy clinical trials (R-RSCTs), (C) phase distribution of R-RSCTs, (D) disease classification of R-RSCTs according to physiological systems, and (E) the Sankey diagram of physiological systems, in vivo/in vitro, and sample types in R-RSCTs.

The preparation for the data of published Raman spectroscopy clinical trials (P-RSCTs) was conducted: the search term used was “Raman” in PubMed with the article type restriction as “Clinical trials.” The clinical studies were retrieved and followed PRISMA guidelines.

Data Selection and Extraction

Trials Selection and Data Extraction

The retrieved records from the database of WHO registries were exported to Microsoft Excel. The titles, abstracts, and full texts were screened by the first author (XX) to exclude the non-related Raman spectroscopy records. The following data of Raman spectroscopy clinical trials were extracted: a combination of title, abstract, and full-text screen was performed by the first author (XX) to exclude any record that was not a Raman trial or repeated ones. The following data for trial records were extracted: trial identifier, study title, date of registration, register source, trial phase, recruitment status, anticipated enrolment sample size, condition studied, study type, sample type, in vitro/vivo, and the number of evaluation factors (Fan et al., 2020). However, the information of R-RSCTs in ICTRP was not updated on time, which did not reflect the present research status of completed RSCTs (Al-Durra et al., 2020).

The retrieved articles from PubMed were thoroughly screened by the first author (XX), and the following information of published Raman spectroscopy clinical trials was extracted: the Raman type, date of publication, sample type, sample size, condition studied, in vitro/vivo, the number of evaluation factors, sensitivity, and specificity.

Discrepancies

Data extraction was performed by two authors (XX and CL). Any discrepancies were resolved between the two authors.

Data Analysis

Descriptive statistics were used to characterize the trials extracted from the ICTRP Search Portal. All statistical analyses were performed using Microsoft Excel. Missing values were excluded from the analysis unless indicated.

Data Visualization

The flowchart was drawn with Adobe Illustrator. The pie chart was drawn with Microsoft Excel 8.0 (Microsoft, Radmond, United States). Sankey diagrams were generated with SankeyMATIC for data visualization. The illustration figure was drawn with BioRender.

The Current Status of Raman Spectroscopy Clinical Trials: The Results

Characterization of Registered Raman Spectroscopy Clinical Trials

We retrieved 82 records from the ICTRP database, of which 25 records were excluded because their interventions were not Raman spectroscopy (Figure 1A). Two records were excluded after full-text screening since they were the repeated ones. A total of 55 records in the ICTRP were analyzed for basic trial characteristics (Figure 1A). In Table 1, we found that 55 trials were registered in the following seven registries: Australian New Zealand Clinical Trials Registry (ANZCTR) (1), ClinicalTrials.gov (24), Chinese Clinical Trials Registry (ChiCTR) (8), Clinical Trials Registry-India (CTRI) (4), International Standard Randomized Controlled Trial Number (ISRCTN) (2), Japan Primary Registries Network (JRPN) (11), and German Clinical Trials Register (5). For the recruitment status of these trials, 20 (36.36%) are actively recruiting subjects, and most (64%) of the remaining trials have not yet started to recruit participants. As shown in Figure 1B, the study type of 30 (54.5%) R-RSCTs was for “Observational,” followed by “Interventional” (18, 32.7%), “Diagnostic test” (5, 9.1%), “relevant factors research” (1, 1.8%), and “meta-analysis” (1, 1.8%). An “Observational study” aims to observe patients or measure certain outcomes without any specific intervention, and patients will not be assigned into different groups. An “Interventional study” aims to evaluate one or more particular interventions on participants, and participants will be created into different groups. The “Diagnostic test” is a study design to evaluate diagnostic accuracy. “Relative factor research” is a study to investigate multiple factors during disease diagnosis, prognosis, and treatment efficacy evaluations. “Meta-analysis” is a statistical process that combines the findings from individual studies.

TABLE 1.

Characteristics of registered Raman spectroscopy clinical trials.

Characteristic Category Number Percentage
Source register ANZCTR 1 1.82
Clinicaltrials.gov 24 43.64
ChiCTR 8 14.55
CTRI 4 7.27
ISRCTN 2 3.64
JPRN 11 20.00
German clinical trial register 5 9.09
Recruitment status Not recruiting 35 63.64
Recruiting 20 36.36
Target size ≦50 27 49.09
51–100 10 18.18
101–200 9 16.36
201–500 4 7.27
501–1,000 3 5.45
1,001–10,000 2 3.64
In vitro/in vivo In vitro 31 56.36
In vivo 24 43.64
Evaluation factors Single 8 14.55
Multiple (image and fingerprint) 47 85.45
Study type Observational 30 54.55
Diagnostic test 5 9.09
Interventional 18 32.73
Relative factors research 1 1.82
Meta-analysis 1 1.82
Phase Phase 1 1 1.82
Phase 2 3 5.45
Phase 3 1 1.82
Post-market 1 1.82
Not applicable 47 85.45
Diagnostic new technique clinical study 2 3.64
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For the phase distribution, most of the trials were under the phase “Not Applicable” in Figure 1C. The main reason may be the failure of recruitment. One trial (No. CTRI/2018/01/011139) was under the post-market phase to analyze the physicochemical interactions of the dentin–resin interface (Girija, 2018). One trial (No. NCT00060580) was under Phase 1 to measure the amount of the pigment lutein in the retina (U.S. National Library of Medicine, 2003). Three trials (No. NCT02033512, No. NCT02621853, and No. CTRI/2009/091/000851) were under Phase 2 to detect hormones, fat, and saliva, respectively (U.S. National Library of Medicine, 2014; U.S. National Library of Medicine, 2015; Vedang, 2009). One trial (No. ChiCTR1800016644) was in Phase 3 to monitor dermatitis degree in treatment of asthma by acupoint sticking therapy (Liu, 2018). Two trials (No. ChiCTR-RDC-17012611 and No. ChiCTR1800015711) were categorized to diagnostic new technique clinical study (Qiu, 2017; Qian, 2018). The sample size is mostly distributed in the middle and small sample size, and 83.6% is less than 200 subjects. Of these R-RSCTs, nearly 85% of evaluation factors were multiple. Only eight trials were evaluated by the single factor. In total, 31 trials were conducted in vitro and 24 trials in vivo. These characteristics above and others of the R-RSCTs are summarized in Table 1.

In Figure 1D, 47 diseases of R-RSCTs were classified into nine types according to the physiological systems. The digestive system (nine diseases) had the most number of diseases, followed by the endocrine system (seven diseases), circulatory system (six diseases), and respiratory system (six diseases). It should be noticed that no diseases from the immune system were chosen as the condition in R-RSCTs. In Figure 1E, the samples corresponded to in vitro/in vivo, and the physiological systems were shown as the Sankey diagram. The clinical trials conducted in vitro have nine types of samples. Blood, saliva, and tissue were taken in most of the trials.

Characterization of Published Raman Spectroscopy Clinical Trials

The majority of the above registrars still need to be completed, and the completed clinical trials did not update their results in real time. Therefore, we collected 44 results of the published Raman spectroscopy clinical trials in PubMed to obtain the current status. There are ten types of Raman spectra which have been studied in the clinic, as shown in Table 2: “Confocal Raman” (11), “Probe Raman” (10), conventional Raman spectrometer (6), “Raman microscope” (4), “Resonance Raman” (4), “Micro-Raman” (3), “Transcutaneous Raman” (2), SERS (2), “FT-Raman” (1), and “Kerr-gated Raman” (1). 22 conditions including healthy and 21 diseases are summarized in Table 2. The published articles showed that Raman spectroscopy was widely used in vivo and in vitro. “Confocal Raman,” “Resonance Raman,” and “Transcutaneous Raman” were only conducted in vivo. Transcutaneous Raman and Confocal Raman were both approved to meet the clinical accuracy requirement in the noninvasive detection of glucose in vivo. Confocal Raman, Probe Raman, and conventional Raman were applied to evaluate skin and components of skin under healthy and dermatitis conditions. Probe Raman, Raman microscope, conventional Raman, Kerr-gated Raman, and SERS were used in the diagnosis of 11 types of cancer. FT-Raman and Transcutaneous Raman could provide the fingerprints of bone in vivo and teeth in vitro. The sample size of most studies was less than 100, which accounted for 90.9% of P-RSCTs. P-RSCTs were all single-site studies, and no multicenter clinical trials were published. Multicenter studies were widely recognized to eliminate the bias in a single-site study and generate more convincible evidence by large numbers of hospitals and patients (Zheng and Zelen, 2008). Hence, the published results indicated the primary evaluation of Raman spectroscopy in the clinic.

TABLE 2.

Characteristics of published Raman spectroscopy clinical trials.

Raman type Number Sample type In vivo/vitro Condition/disease References
Confocal Raman 11 Ibuprofen In vivo Healthy
Skin Atopic dermatitis Chrit et al. (2005); Chrit et al. (2006); Richters et al. (2017)
Healthy
Dermal water Dermatitis Nakagawa et al. (2010)
Retinyl acetate Healthy Lee et al. (2015); Dos Santos et al. (2017)
Hormone Climacteric symptom Botelho et al. (2014)
Oil Healthy Choe et al. (2015)
Glucose Diabetes Chaiken et al. (2005)
Trans-urocanic acid Healthy Egawa and Iwaki, (2008)
Probe Raman 10 Tissue In vitro Brain tumor Koljenovic et al. (2005)
In vivo Soft tissue sarcomas Kanter et al. (2009); Huang et al. (2010); Bergholt et al. (2016); Nguyen et al. (2016); Lin et al. (2017)
Nasopharyngeal carcinoma
Gastric cancer
Colorectal cancer
Cervical dysplasia
Dermatitis
Skin Skin cancer Schleusener et al. (2015)
Filaggrin Atopic dermatitis González et al. (2011)
Raman microscope 4 Serum In vitro Oral caner Sahu et al. (2013)
Hydroxyethyl starch Ex vivo Renal graft Vuiblet et al. (2016)
Salivary gland In vivo Sjogren’s syndrome Xue et al. (2014)
Beta-tricalcium phosphate Osseointegration Pascaretti-Grizon et al. (2017)
Sinus lift
Bone graft
Micro-Raman 3 Luting agents In vitro Healthy Lohbauer et al. (2010); Navarra et al. (2012)
Natural cavities in teeth
Tissue In vivo Periodontal inflammation Camerlingo et al. (2014)
Resonance Raman 4 Carotenoids In vivo Healthy Hesterberg et al. (2009)
Macular pigment Tanito et al. (2012)
Lycopene and ß-carotene Blume-Peytavi et al. (2009)
Human molar Healthy/aging Ager et al. (2006)
Transcutaneous Raman 2 Glucose In vivo Healthy Enejder et al. (2005)
Bone Matousek et al. (2006)
Raman spectrometer 6 Serum In vitro Healthy Rohleder et al. (2005)
Diabetes
Tissue Ovarian cancer Crow et al. (2003); Maheedhar et al. (2008)
Prostate cancer
In vivo Skin cancer Sigurdsson et al. (2004); Moncada et al. (2016)
Melasma
Urea Healthy Egawa and Sato, (2015)
FT-Raman 1 Tooth In vitro Healthy Paula et al. (2010)
Kerr-gated Raman 1 Tissue In vitro Prostate cancer Prieto et al. (2005)
Bladder cancer
SERS 2 Tissue In vitro Colon cancer Zavaleta et al. (2013)
Serum Oral squamous cell carcinoma Tan et al. (2017)
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We summarized the present situation of 55 R-RSCTs and 44 P-RSCTs in this review. Only three studies were published before 2008. From 2003 to 2017, both R-RCTS and P-RCTs gradually increased. From 2018 to 2020, R-RCTs raised up rapidly to around 10 clinical trials each year. No published results were obtained in PubMed since 2018. Collectively, the results are shown in Figure 2. We look forward to the release of these registered clinical trials in the next 5 years.

FIGURE 2.

FIGURE 2

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Number of registered and published Raman spectroscopy clinical trials from 2003 to 2020.

The Current Status of SERS Clinical Trials: The Results

There are six registered clinical trials (Table 3) related to SERS and two published clinical trials. The illustration of samples and collected outcomes from these trials are shown in Figure 3. The study type of five registered trials was “Observational” and one trial was “Diagnostic test.” The interventional/observational models were “Factorial,” “Cohort,” and “Case–control.” A “Factorial” study aims to evaluate two interventions in the same trial and their interactions between two interventions. A “Cohort” study aims to measure the effect of a suspected risk factor in both groups of people who have a certain condition and who have no condition. A “Case–control” study aims to determine factors associated with a certain condition. Two trials were registered in 2019 and four trials in 2020. Only two trials are actively recruiting subjects. The sample size of four trials was distributed in middle and small sizes. All the trials were under the phase “Not applicable.” The sample types were blood, urine, saliva, and tears. All the trials were conducted in vitro. According to the published results of two studies, SERS had a sensitivity of 80.7% and a specificity of 84.1% in the diagnosis of oral squamous cell carcinoma by analyzing the fingerprints of blood and sensitivity of 326-fM SERS nanoparticles in colon tumor tissue (Zavaleta et al., 2013; Tan et al., 2017). According to the trials, it indicated that SERS preferred the sample type of biofluids and depended on metal nanoparticles to magnify signals.

TABLE 3.

Characteristic of registered SERS clinical trials.

Register number Title Date registration Condition/disease Sample type Study type Recruitment status Target size In vivo/in vitro Phase Interventional/observational model References
ChiCTR2000037082 Construction of artificial intelligence–assisted prostate tumor early diagnosis system based on surface-enhanced Raman spectroscopy August 26, 2020 Prostate tumor Blood Diagnostic test Recruiting 2000 In vitro N/A Factorial Wang, (2020)
NCT04239105 Detection and analysis of circulating tumor cells (CTCs) in patients with breast cancer using a novel microfluidic and Raman spectrum device December 31, 2019 Breast neoplasms (circulating tumor cells) Blood Observational Not recruiting 120 In vitro N/A Cohort U.S. National Library of Medicine. (2020a)
NCT04311684 Development and validation of hybrid Brillouin–Raman spectroscopy for noninvasive assessment of mechanochemical properties of urine proteins as biomarkers of kidney diseases March 14, 2020 Nephrotic syndrome Urine protein Observational Recruiting 80 In vitro N/A Cohort U.S. National Library of Medicine. (2020b)
NCT04628962 Raman analysis of saliva as a biomarker of COPD November 09, 2020 Chronic obstructive pulmonary disease Saliva Observational Recruiting 250 In vitro N/A Case–control U.S. National Library of Medicine. (2020c)
CTRI/2019/06/019890 Human tear sample studies using high-performance liquid chromatography with laser-induced fluorescence (HPLC-LIF) and surface-enhanced Raman spectroscopy (SERS) techniques 27–06-2019 Glaucoma Tears Observational Not recruiting 35 In vitro N/A N/A Adigal et al. (2019)
CTRI/2020/07/026418 Design and development of an optical setup for cell membrane-targeted surface-enhanced Raman spectroscopy using vortex beams 07–07-2020 Healthy Blood Observational Not recruiting 30 In vitro N/A N/A Ghana Shyam, (2020)
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FIGURE 3.

FIGURE 3

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Illustration of SERS registered and published clinical trials.

Discussion and Perspective of Future SERS Clinical Application

This review provides an overview of the current status of Raman spectroscopy clinical registration information and published articles. It is a new and extensive survey of R-RSCTs and P-RSCTs. Most R-RSCTs are registered on platforms from the United States, Japan, China, and Germany. Compared with preclinical studies, the ongoing R-RSCTs are very rare, and most researchers focused on developing new technology in cellular and animal models. As we mentioned above, the completed R-RSCTs in the WHO platform did not update their results in real time. Moreover, the clinical protocol of some studies in the publication was different from the registered one. It is difficult to analyze the results of R-RSCTs. Many researchers only registered a trial about Raman spectroscopy without recruiting any participants. In the summary of P-RSCTs, we found that P-RSCTs were subjected to a single-center study with a sample size of fewer than 100 subjects. Although Raman spectroscopy had many advantages, some types of Raman spectroscopy failed to continue to be developed in the clinic such as the instrument of Kerr-gated Raman, which was filled in two rooms (Prieto et al., 2005). Hence, we suggest that the researchers from universities and research centers may collaborate more with clinicians and industry sponsors to conduct large-scale, high-quality, and multicenter R-RSCTs and publish their results in the corresponding registration platforms. SERS also has the same problems above, and it is in the early stage of clinical development. Most clinicians are familiar with the technologies such as computed tomography (CT) and nuclear magnetic resonance (NMR), but unfamiliar with SERS, and other Raman spectra. This resulted in the slow development of R-RSCTs and P-RSCTs.

SERS depends on the metal surface but is also limited by the interaction surface in the clinic. Most clinical trials chose the wavelength of laser at 785 nm to excite the light scattering and collect the Raman signals, which proved efficiency and safety of the laser (Sigurdsson et al., 2004). But the penetration distance in vivo of the laser was limited to less than 10 mm (Nakagawa et al., 2010; Egawa and Sato, 2015). Hence, SERS can only be used in vitro and ex vivo to make metallic surfaces and samples close enough. There are two methods to use SERS in biomedical research. One is to add nanoparticles without SERS reporter in the samples and amplify the intrinsic Raman signals. Another one is to administrate the nanoparticles with SERS reporter directly to detect the reporter signals. Fingerprints require complex interpretation and the concern of reproducibility. The fluorescent background of samples also brings a low signal-to-noise ratio (SNR). The second method may be a better choice in clinical application due to its higher specificity and higher SNR.

Importantly, several critical issues need to be concerned with the following. First, there is the selection of reliable biomarkers in biofluids: oncology is still the “Gold standard” of diagnosis. Applying biomarkers in diagnosis calls for researchers from basic medicine, optical spectroscopy, and clinicians from hospitals to collaborate. Second, there are multicenter and large-scale clinical trials: large-scale trials should be conducted under standard protocols to prove the advantages of SERS in the clinic compared to other techniques. Third, there is the artificial intelligence of SERS spectra: although SERS signals may have several sharp peaks, it is still difficult to analyze the intensity and the shifts of wavelength directly. Diagnosis models of diseases are necessary to be built by artificial intelligence to transform SERS spectra to a readable clinical standard immediately. Three AI-related Raman spectroscopy clinical trials were registered in 2021. Overall, we look forward to breakthrough developments of SERS in the clinic in the next 5 years.

Acknowledgments

We thank Hang Su for helping complete the Sankey diagram. All authors read and approved the final manuscript.

Author Contributions

XX summarized and analyzed the data. XX wrote the manuscript. CL confirmed the data and supervised the whole study.

Funding

This work was supported by the Department of Science and Technology, Department of Jilin Province (No. 20190304035YY).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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