This is the first report of the use of laser ablation-inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) to analyze human malignant pleural mesothelioma (MPM) samples at the cellular level. MPM is an aggressive, incurable cancer associated with asbestos exposure, with a long latency and poor overall survival. Following careful optimization of the laser fluence, the simultaneous ablation of soft biological tissue and hard mineral fibers was possible, allowing the spatial detection of elements such as Si, Mg, Ca, and Fe, which are also present in the glass substrate. A low-dispersion LA setup was employed, which provided the high spatial resolution necessary to identify the asbestos fibers and fiber fragments in the tissue and to characterize the metallome at the cellular level (a pixel size of 2 μm), with a high speed (at 250 Hz). The multielement LA-ICP-TOFMS imaging approach enabled (i) the detection of asbestos fibers/mineral impurities within the MPM tissue samples of patients, (ii) the visualization of the tissue structure with the endogenous elemental pattern at high spatial resolution, and (iii) obtaining insights into the metallome of MPM patients with different pathologies in a single analysis run. Asbestos and other mineral fibers were detected in the lung and pleura tissue of MPM patients, respectively, based on their multielement pattern (Si, Mg, Ca, Fe, and Sr). Interestingly, strontium was detected in asbestos fibers, suggesting a link between this potential toxic element and MPM pathogenesis. Furthermore, monitoring the metallome around the talc deposit regions (characterized by elevated levels of Al, Mg, and Si) revealed significant tissue damage and inflammation caused by talc pleurodesis. LA-ICP-TOFMS results correlated to Perls' Prussian blue and histological staining of the corresponding serial sections. Ultimately, the ultra-high-speed and high-spatial-resolution capabilities of this novel LA-ICP-TOFMS setup may become an important clinical tool for simultaneous asbestos detection, metallome monitoring, and biomarker identification.
This is the first report of the use of laser ablation-inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) to analyze human malignant pleural mesothelioma (MPM) samples at the cellular level. MPM is an aggressive, incurable cancer associated with asbestos exposure, with a long latency and poor overall survival. Following careful optimization of the laser fluence, the simultaneous ablation of soft biological tissue and hard mineral fibers was possible, allowing the spatial detection of elements such as Si, Mg, Ca, and Fe, which are also present in the glass substrate. A low-dispersion LA setup was employed, which provided the high spatial resolution necessary to identify the asbestos fibers and fiber fragments in the tissue and to characterize the metallome at the cellular level (a pixel size of 2 μm), with a high speed (at 250 Hz). The multielement LA-ICP-TOFMS imaging approach enabled (i) the detection of asbestos fibers/mineral impurities within the MPM tissue samples of patients, (ii) the visualization of the tissue structure with the endogenous elemental pattern at high spatial resolution, and (iii) obtaining insights into the metallome of MPM patients with different pathologies in a single analysis run. Asbestos and other mineral fibers were detected in the lung and pleura tissue of MPM patients, respectively, based on their multielement pattern (Si, Mg, Ca, Fe, and Sr). Interestingly, strontium was detected in asbestos fibers, suggesting a link between this potential toxic element and MPM pathogenesis. Furthermore, monitoring the metallome around the talc deposit regions (characterized by elevated levels of Al, Mg, and Si) revealed significant tissue damage and inflammation caused by talc pleurodesis. LA-ICP-TOFMS results correlated to Perls' Prussian blue and histological staining of the corresponding serial sections. Ultimately, the ultra-high-speed and high-spatial-resolution capabilities of this novel LA-ICP-TOFMS setup may become an important clinical tool for simultaneous asbestos detection, metallome monitoring, and biomarker identification.
Malignant pleural mesothelioma
(MPM) is an incurable malignancy
associated with high symptom burden and poor prognosis. This asbestos-related
cancer is characterized by a long latency period (30–60 years),
developing from mesothelial cells lining the lungs and chest cavity.[1] MPM is generally diagnosed at such a late stage
that treatment options are often limited and ineffective.[2] The overall survival varies between 5 and 13
months as a result of several factors including the absence of reliable
blood and tissue MPM biomarkers,[2] lack
of effective treatment strategies,[3] and
limited detection of asbestos fibers in patient samples.[4] Early diagnosis plays a key role in increasing
the overall survival. The analysis of asbestos counts and fiber types
present in tissue samples may aid early MPM diagnosis and provide
insights into the pathogenesis of asbestos-related diseases. This
may also be significant for differential diagnosis, risk assessment,
and medicolegal compensation.[5]Asbestos
is a generic name for a range of fibrous silicate minerals,
with high Mg, Ca, and Fe content, that exhibit, to a greater or lesser
extent, high tensile strength and elevated resistance to heat and
chemical disintegration. According to the World Health Organization
classification, asbestos fibers are particles thinner than 3 μm,
longer than 5 μm, and with an aspect ratio (length to width)
of 3:1 or greater.[6] Only the fibers meeting
these criteria (≈5–15%) are under strict regulatory
guidelines and are considered in the pathology examination despite
numerous reports of short fiber toxicity.[6,7] Due
to the unique physical properties, asbestos has been extensively employed
in high-resource countries including the United Kingdom, Australia,
the USA, and the majority of Europe until the early 1980s. Afterward,
the use of some amphibole fibers (crocidolite, actinolite, tremolite,
anthophyllite, and amosite) and the serpentine fiber, chrysotile,
was limited or totally banned due to their carcinogenic properties.
However, asbestos continues to be a global issue, with around 125
million people worldwide being exposed to potentially hazardous mineral
fibers at their workplaces, schools, or homes.[8] Additionally, only 6 out of approximately 400 documented mineral
fibers are under strict regulatory guidelines, although many of the
remainder have also been linked to malignant mesothelioma.[9] Moreover, hot spots of mesothelioma may occur
concomitantly with urban development.[10]Although the instrumentation for asbestos identification has
improved
significantly, the standardized sample preparation process has remained
unchanged for over 3 decades.[11] Most asbestos
identification techniques, such as scanning electron microscopy and
transmission electron microscopy, employ tissue digestion, meaning
that the spatial information cannot be preserved. Several alternatives
to monitor asbestos fibers within the biological matrix have been
presented. One study by Ishida et al. observed the process of frustrated
phagocytosis macrophages undergo in the presence of fluorescently
labeled asbestos fibers using fluorescence microscopy.[12] Moreover, detection based on elemental composition
has also been demonstrated in several studies by Pascolo et al. using
a combination of X-ray fluorescence microscopy, high-performance synchrotron
X-ray fluorescence, and X-ray absorption near-edge spectroscopy analyses.[13,14] Other techniques include energy-dispersive X-ray microanalysis and
in-air micro-particle-induced X-ray emission.[4,15] Limitations
of these techniques revolve around clinical applicability, resolution,
and sensitivity, as well as capabilities to acquire other elemental
information in situ.Laser ablation–inductively
coupled plasma mass spectrometry
(LA–ICPMS) is an imaging technique providing information on
the multielement distribution with a high spatial resolution (down
to the single-cell level) in various sample types. LA–ICPMS
has been established as the workhorse for metallomics analysis of
biological tissues and presents several attractive features. Recent
advancements in low-dispersion LA setups have significantly improved
the speed of the analysis (with a higher sample throughput) and the
spatial resolution.[16,17] We have recently demonstrated
the potential of high-speed, low-dispersion LA–ICPMS setups
to be employed as clinical tools for elemental mapping of asbestos
and other mineral fibers within MPM cellular models.[18] In addition, we have successfully detected and classified
asbestos fibers in a three-dimensional (3D) MPM model using a fast-response
LA chamber coupled to an ICP time-of-flight (TOF) MS system.[19] However, elemental mapping of human MPM tissue
samples by high-resolution LA–ICP–TOFMS has not been
attempted until now. Mapping the cellular and the subcellular metallome
provides insights into the fundamental biological processes and helps
understand the chemical makeup during disease states. LA–ICP–TOFMS
has been used as an elemental imaging tool for a variety of samples,
ranging from soft biological samples[20,21] to metamorphic
and sedimentary rocks.[22] What sets the
MPM tissue samples apart is the challenge of concomitantly ablating
and analyzing a soft biological matrix as well as acid-resistant mineral
silicates. Human MPM tissue samples selected in this study represented
different pathologies, classifications, and anatomical sites. Asbestos
fibers have been detected in the tissue originating from the lungs,
as human lungs having difficulties in eliminating the invasive fibers
from the alveoli.[5] Moreover, smaller mineral
fibers have been previously detected in the pleura of MPM patients.[1] Consequently, lung and pleura tissues from MPM
patients were analyzed. There are no data on the presence of asbestos
and other mineral fibers in the samples originating from the chest
wall of MPM patients; therefore, chest wall tissue samples were also
included in the sample pool for LA–ICP–TOFMS analysis.
Apart from asbestos and mineral fiber detection, LA–ICP–TOFMS
analysis can simultaneously provide insights into one of the hallmarks
of cancer development and progression and the metal homeostasis dysregulation.In the current study, we demonstrate the capabilities of the high-speed,
low-dispersion Iridia 193 nm LA system coupled to an icpTOF 2R ICP–TOFMS
instrument to spatially resolve different types of asbestos and other
mineral fibers within two-dimensional (2D) cellular models of MPM
and human MPM tissue sections based on their multielement pattern.
Additionally, the instrumentation allows for the monitoring of the
MPM metallome at the cellular level, offering further insights into
a variety of perturbations in the homeostasis of metal ions that characterize
neoplastic tissues. Therefore, LA–ICP–TOFMS imaging
has the capability to be employed in clinical settings as a tool for
mapping asbestos bodies, monitoring the MPM metallome disturbance,
and detecting levels of metal-tagged MPM biomarkers, all in a single
set of analysis.
Experimental Section
Cell Culture
Immortalized
human mesothelioma cells,
MSTO-211H (ATCC, UK), were cultured in a complete RPMI 1640 medium
(10% v/v heat-inactivated fetal bovine serum and 1% v/v penicillin/streptomycin)
at 37 °C in a humidified atmosphere with 5% CO2. The
cells were grown and harvested following the established cell culture
protocols. All cell culture materials were supplied by Gibco (Life
Technologies, CA, USA). The cell line was confirmed to be negative
for mycoplasma using the MycoAlert mycoplasma detection kit (LONZA,
Basel, Switzerland).
Asbestos Fibers
The Union for International
Cancer
Control-accredited amosite, crocidolite, and chrysotile (Health and
Safety Laboratories, UK) were prepared in specially designed laminar
flow hoods (Santia Asbestos Management Ltd. laboratories) in a phosphate-buffered
saline (PBS) solution to a final stock concentration of 1 μg
mL–1. Asbestos fibers pose a low risk of inhalation
in an aqueous solution. The asbestos solutions were sterilized at
121 °C in an autoclave and stored at room temperature. Prior
to the treatment, the solutions were passed through a 22-gauge needle
five times to ensure the separation of the fibrils.
Cell Model
Development and Preparation
For the 2D MPM
cell models, 1 × 107 cells were harvested, centrifuged,
and treated with 100 μL of the asbestos solution. Following
a second centrifugation process, the models were embedded in hydroxypropyl
methylcellulose/polyvinylpyrrolidone media (3:1 ratio) and flash-frozen
in liquid nitrogen using specially designed plastic molds. Finally,
the material was cryo-sectioned onto glass slides to produce 5 μm
thick sections.
Human Tissue Samples
The human malignant
mesothelioma
tissue samples were commercially obtained (AMSBIO, UK) and were purposefully
selected to include a diverse pool of patients (Table S2). The fresh tumors were embedded in optimal cutting
temperature media and flash-frozen prior to cryo-sectioning onto glass
slides (5 μm thick sections). The tissues were supplied as serial
sections and were employed for either LA–ICP–TOFMS analysis
or histological staining. All data provided were shared by the supplier
according to the Human Tissue Act 2004. Tissue handling and storage
were carried out according to the ethical guidelines.
Histological
Staining
The human MPM tissue sections
were fixed in 10% formalin for 75 min and then washed in PBS, prior
to staining with either routine Mayer’s hematoxylin and eosin
staining solutions (H&E) or Perls’ Prussian blue staining
solutions (Advanced Testing Iron Stain, Thermo Scientific, MA, USA).
For H&E staining, the slides were placed in hematoxylin for 5
min, rinsed under tap water for 5 more minutes, and then stained with
eosin for 1 min. Lastly, the sections were dehydrated in three changes
of absolute anhydrous alcohol for 5 min each and then cleared in three
changes of a clearing agent (i.e., a xylene substitute)
for 5 min each. Serial sections of the same patients’ samples
were used to stain for the ferric iron presence according to Perls’
Prussian blue reaction. The working iron stain solution was freshly
prepared by mixing equal volumes of potassium ferrocyanide solution
and hydrochloric acid solution. First, the sections were submerged
in deionized water for 1 min and then stained in the working iron
stain solution for 30 min at room temperature. The sections were once
again washed in deionized water for 1 min before counterstaining the
nuclei with a nuclear red thiazine stain solution for 30 s to achieve
the desired contrast, followed by an additional deionized water wash
for 30 s. Finally, the sections were dehydrated in two changes of
absolute anhydrous alcohol for 1 min each and then cleared in three
changes of the xylene substitute for 1 min each. Glass coverslips
were mounted on the top of all the sections using Pertex mountant
(CellPath Ltd., UK). The sections were imaged using an Olympus BX60
light microscope and processed and visualized using CellSens software.
LA–ICP–TOFMS Imaging
An Iridia 193 nm
LA system (Teledyne Photon Machines, Bozeman, MT, USA) was coupled
to an icpTOF 2R ICP–TOFMS instrument (TOFWERK
AG, Thun, Switzerland). The LA system was equipped with a low-dispersion
ablation cell[23,24] in a Cobalt ablation chamber
and coupled with the aerosol rapid introduction system (ARIS) to the
ICP–TOFMS system. An optimized He carrier gas flow of 0.60
L min–1 was used, and an Ar make-up gas flow of
∼0.90 L min–1 was introduced through the
low-dispersion mixing bulb of the ARIS. Daily tuning of the instrument
settings was performed using NIST SRM612 glass-certified reference
material (National Institute for Standards and Technology, Gaithersburg,
MD, USA) and was aimed at high sensitivity across the elemental mass
range. Optimization was based on high intensities for 24Mg+, 59Co+, 115In+, and 238U+, low oxide formation based
on the 238U16O+/238U+ ratio (<2%), and low elemental fractionation based on
the 238U+/232Th+ ratio
(∼1). Daily optimization included to aim at a low aerosol dispersion
characterized by the pulse response duration for 238U+ based on the FW0.01 M criterion, that is, the full peak width
of the 238U+ signal response obtained upon a
single laser shot at 1% of the height of the maximum signal intensity.LA sampling was performed at a repetition rate of 250 Hz using
a 4 μm spot size (circular) with an interspacing of 2 μm
between the lines and the individual pixels (fixed dosage mode 2),
resulting in a pixel size of 2 × 2 μm. Selective ablation
of the biological samples was achieved by selecting an energy density
below the ablation threshold of glass and above the ablation threshold
of the samples.[24] Cell samples and tissue
samples were removed quantitatively using a fluence of 1.0 J cm–2. Asbestos fibers were removed qualitatively with
a fluence of 1.0 J cm–2 and quantitatively with
a fluence of 3.0 J cm–2.The icpTOF 2R ICP-TOFMS instrument has a specified
mass resolution (R = m/Δm) of 6000 (full width half-maximum definition) and allows
the analysis of ions in the range m/z = 14–256.
The integration and readout rate match the LA repetition rate. The
instrument was equipped with a torch injector of 2.5 mm inner diameter
and the nickel sample and skimmer cones with a skimmer cone insert
of 2.8 mm in diameter. A radio frequency power of 1440 W, an auxiliary
Ar gas flow rate of ∼0.80 L min–1, and a
plasma Ar gas flow rate of 15 L min–1 were used.
The instrumental parameters for the LA–ICP–TOFMS measurements
are summarized in Table S1.
Data and Image
Processing
LA–ICP–TOFMS
data were recorded using TOFpilot v2.10. (TOFWERK AG, Thun, Switzerland)
and saved in the open-source hierarchical data format (HDF5, www.hdfgroup.org). Postacquisition
data processing was performed with TofWare v3.2.2, which is a TOFWERK
data analysis package and used as an add-on for IgorPro (Wavemetric
Inc., Oregon, USA). The data processing included (1) drift correction
of the mass peak position in the spectra over time via time-dependent
mass calibration, (2) determining the peak shape, and (3) fitting
and subtracting the mass spectral base line. LA–ICP–TOFMS
data were further processed with HDIP (HDF-based Image Processing,
Teledyne Photon Machines, Bozeman, MT, USA) software version 1.6.
to generate 2D elemental images.
Results and Discussion
Identification
of Asbestos Fibers in Cell Culture by LA–ICP–TOFMS
Imaging
In previous studies, it has been shown that asbestos
and other mineral fiber subsets can be differentiated within 2D and
3D mesothelioma cell culture systems based on their multielement pattern
using LA–ICP–quadrupole MS and LA–ICP–TOFMS
imaging.[18,19] The major constituents of the investigated
fibers are the elements Na, Mg, Al, Si, and Fe, which may also be
present in the biological tissue and/or in the glass substrate. Additionally,
the identification of mineral fibers within the MPM biological tissue
can be challenging as it requires the ablation of the soft biological
material and hard mineral material in parallel. Therefore, the selection
of the laser fluence plays an important role in enabling the selective
and quantitative ablation of the biological material from the glass
substrate, while the laser fluence must be high enough to ablate the
fiber material. In a first step, an LA–ICP–TOFMS method
was evaluated in 2D cellular models using mesothelioma cells spiked
with three different types of asbestos fibers. The selection of asbestos
fibers included amosite, crocidolite, and chrysotile, similar to previous
studies,[18,19] as they showed different nominal compositions
and degrees of carcinogenicity.[25] The same
LA parameters as those intended for the imaging experiments of the
tissue samples were used to analyze the cellular models, with a pixel
size of 2 μm. Different fluence levels in the range of 0.5–3.0
J cm–2 were evaluated, resulting in an optimized
fluence of 1.0 J cm–2. At this fluence level, selective
ablation of the cells was observed without creating imaging artifacts
resulting from the coablation of the glass substrate. Subsequently,
an evaluation was performed to determine whether the fluence was high
enough to qualitatively ablate the asbestos fibers spiked within the
cells. For the three different types of asbestos fibers, elemental
levels of Na, Mg, Si, and Fe significantly above the biological background
were observed. Overlays of the high phosphorus signals generated by
the biological matrix and the other elements present in the mineral
fibers were produced. Data suggested that crocidolite was characterized
by high levels of Na, Mg, Si, and Fe, while amosite and chrysotile
yielded elevated Mg, Si, and Fe signals (Figures S3 and S4). These results are in accordance with the nominal
composition of the different asbestos fibers[26] and with previous studies using the LA–ICP–sector
field MS and LA–ICP–TOFMS instruments.[18,19] Therefore, it was shown that the LA–ICP–TOFMS method
and the selected fluence and laser parameters in this study are fit
for the purpose of detecting asbestos fibers within human MPM tissue
samples.
High-Resolution LA–ICP–TOFMS Imaging of the Lung
Tissue
High-resolution LA–ICP–TOFMS imaging
was performed on MPM patient samples of different stages in the pathological
presentation and tumor localization including the lung, pleura, and
chest wall (Table S2). The selection of
MPM tumors localized in different parts of the lung, pleura, or chest
wall was essential to show not only the heterogeneity of the MPM metallome
but also the asbestos fiber translocation within the respiratory system.
Regions of interest (ROIs) were imaged in the lung tissue sample of
patient 1 with a pixel size of 2 μm and a pixel acquisition
rate of 250 Hz (enabled by the signal pulse response of the used LA
setup). Again, the laser fluence was optimized to enable the selective
and quantitative ablation of the biological material from the glass
substrate, resulting in a fluence of 1.0 J cm–2.
Via this approach, it was possible to image biologically essential
elements present in the tissue that are also major constituents of
the glass substrate, such as Na, Mg, and Ca. This approach, together
with the use of an ICP–TOFMS instrument, allowed the analysis
of a wide range of elements in the tissue samples including elements
with key biological functions from the lower mass range, such as sodium,
magnesium, phosphorus, iron, copper, and zinc.Based on the
bright-field images taken prior to LA, different ROIs with visible
black impurities were selected for detailed and high-resolution LA–ICP–TOFMS
analysis of human MPM lung tissue samples from two patients. The lung
tissue sample of patient 1 showed distinct elemental distributions
of magnesium, phosphorus, iron, and zinc, which allowed the visualization
of the tissue structure (Figure ). In one of the ROIs of the lung tissue sample, elevated
levels of Si, Ca, Fe, and Sr well above the signals of the biological
(tissue) background were found in distinct features (Figure ). One of them resembled a
long fiber (with a total length of around 200 μm) comparable
to the asbestos fibers in the 2D cell samples, whereas the other features
were round and relatively small (with a size of around 25–30
μm in diameter). The high spatial resolution of 2 μm allowed
for the detection of small impurities, possible fiber fragments, or
shorter mineral fibers. The long fiber could be visualized using the 44Ca+, 56Fe+, and 88Sr+ signals, whereas the other features were characterized
by elevated Si, Ca, Fe, and Sr levels. Interestingly, one of the long
impurities indicated by the white arrows in the bright-field image
(Figure , panel A)
yielded no significant counts of either of the metals, suggesting
the presence of a non-asbestiform foreign body. This finding proves
the capabilities of LA–ICP–TOFMS imaging to distinguish
asbestiform fibers from other impurities always present in the human
lungs. A noteworthy finding was the high amount of strontium yielded
by two out of the three impurities present in the ROI and indicated
by the white arrows (Figure , panel H). Sr has been previously reported as a potential
toxic element (PTE) present in trace quantities in various types of
asbestos, with a key role in MPM pathogenesis.[27] One group has found high amounts of Sr, among other contaminants,
in the hair samples of subjects environmentally exposed to crocidolite
asbestos.[28] However, quantitative analysis
is further required to correctly classify the impurities in the investigated
samples as crocidolite.
Figure 1
(A) Bright-field image of an ROI of the lung
tissue sample from
patient 1. Possible impurities are indicated by white arrows. Signal
intensity maps of (B) 24Mg+, (C) 28Si+, (D) 31P+, (E) 44Ca+, (F) 56Fe+, (G) 66Zn+, and (H) 88Sr+, obtained by
LA–ICP–TOFMS imaging. The fiber type structure and other
impurities are indicated by white arrows.
(A) Bright-field image of an ROI of the lung
tissue sample from
patient 1. Possible impurities are indicated by white arrows. Signal
intensity maps of (B) 24Mg+, (C) 28Si+, (D) 31P+, (E) 44Ca+, (F) 56Fe+, (G) 66Zn+, and (H) 88Sr+, obtained by
LA–ICP–TOFMS imaging. The fiber type structure and other
impurities are indicated by white arrows.The fiber-type structure also displayed lower Mg and P levels than
the surrounding tissue, whereas the Fe signal of the fibers/impurities
proved to be around 20 times higher than the surrounding tissue signal
(Figure , panels B,
D, and F). To further confirm these results, the parts of the remaining
long fiber and other fiber fragments, which were still visible on
the glass slide after ablation with 1.0 J cm–2,
were fully ablated using a significantly higher fluence of 3.0 J cm–2 (Figure S5). High levels
of Ca, Fe, and Sr were detected by LA–ICP–TOFMS during
the second ablation run. Mg signals generated by one of the impurities
were noted following the second ablation run and the removal of the
magnesium-enriched biological matrix (Figure S5). The increase in counts of some elements after ablation with a
higher fluence (i.e., Fe and Mg) and the total lack of signal displayed
for others (i.e., Si) highlighted the difficulty of spatially resolving
mineral fibers (hard material) within a native biochemical environment
(soft tissue). Furthermore, the spatial orientation of these fibers
within the tumor microenvironment and translocation during sample
preparation must also be considered.To investigate the presence
of more asbestos fibers and to get
a more detailed picture of the metallome, a second ROI from patient
1 was ablated (Figure S6). Significantly
elevated signals of magnesium, phosphorus, and zinc were noted on
the proliferative leaf-like edges, indicating an increased metabolic
activity.[29] No mineral fibers (and no Si
signals) were detected in this region, suggesting that fibers tend
to accumulate in certain parts of the necrotic formation (Figure S6).In the lung tissue sample of
patient 2, two clusters of black impurities
were identified on the bright-field image, as indicated by the white
arrows, and the ROI was subjected to LA–ICP–TOFMS analysis.
The fibers had the typical appearance of ferruginous bodies and stained
blue following Perls’ Prussian blue reaction, suggesting an
increased presence of ferric iron coating the asbestos bodies (Figure S2). Asbestos bodies are not inert structures
and are known to trigger endogenous metal mobilization across the
tissue, most noteworthily of iron and copper.[13] Iron sequestration by the malignant cells can be noted in Figure , panel D. Apart
from the endogenous Cu known to coat asbestos fibers, Cu has been
classified as an asbestos contaminant, also known as a PTE due to
its abilities to increase the toxic character of asbestos fibers in
a synergistic manner,[27,30] which can be noted in Figure , panel E. Zinc levels
also appeared to be elevated, with counts nearly twice as high as
those of the rest of subjects (Figure S7). Zn is overabundant in the cancer tissue containing aggressive
malignant cells in contrast to normal stroma.[31] The high Si signals supported the hypothesis of the presence of
asbestiform silicates. Similar to that for patient 1, the foreign
bodies yielded no significant Na and Mg signals (Figures S7 and 2) following the first
set of analyses. Moreover, high Sr levels were also recorded for these
impurities, which strongly suggests the key roles of this PTE in MPM
carcinogenesis (Figure , panel F). The sodium overabundance (over twice as high as that
of the rest of the subjects) shown in Figure S7 can be linked to advanced MPM (stage IV).
Figure 2
(A) Bright-field image
of an ROI of the lung tissue sample from
patient 2. Signal intensity maps of (B) 24Mg+, (C) an overlay of 28Si+ and 31P+, (D) 56Fe+, (E) 63Cu+, and (F) an overlay of 88Sr+ and 31P+, obtained by LA–ICP–TOFMS
imaging. Possible impurities are indicated by white arrows.
(A) Bright-field image
of an ROI of the lung tissue sample from
patient 2. Signal intensity maps of (B) 24Mg+, (C) an overlay of 28Si+ and 31P+, (D) 56Fe+, (E) 63Cu+, and (F) an overlay of 88Sr+ and 31P+, obtained by LA–ICP–TOFMS
imaging. Possible impurities are indicated by white arrows.
High-Resolution LA–ICP–TOFMS
Imaging of the Pleura
Tissue
Based on the bright-field images of the pleura sample
from patient 3, ROIs were selected for detailed LA–ICP–TOFMS
analysis. In this case, the black crystal-like structures (with a
diameter of around 20–50 μm) that could be observed on
the microscopic images of the pleura sample were of high interest
for this study. Histological analysis revealed that these particulates
did not stain for ferric iron (Perls’ Prussian blue staining)
and did not retain color following H&E staining (Figures S1 and S2), which is characteristic to talc deposits
stains.[32] Additionally, the linear distribution
and microscopic presentation of these particulates suggested the presence
of talc deposits resulted from talc pleurodesis.[33] In conjunction with LA–ICP–TOFMS imaging,
the resulting data supported this hypothesis. Detailed LA–ICP–TOFMS
analysis showed that these features were characterized by elevated
magnesium and silicon levels and slightly increased aluminum and phosphorus
levels (compared to that of the surrounding tissue, Figure , panels C–F). A further
screening of the LA–ICP–TOFMS elemental distribution
maps revealed that these structures also yielded some iron and zinc
signals (Figure ,
panels G,H). In contrast to the fibers/impurities in the lung tissue,
no distinct Sr signal was detected (data not shown). The general structure
of talc can be expressed as Si4O10M3(OH)2, with Mg occupation at the M sites and replacement
of Mg by ferrous iron (known as minnesotaite).[34] The presence of ferrous iron explains why the particulates
did not stain blue following Perls’ Prussian blue reaction,
which reacts with ferric iron (Figure S1).
Figure 3
(A) Bright-field image of an ROI of the pleura sample of patient
3. Possible impurities are indicated by white arrows. Signal intensity
maps of (B) 23Na+, (C) 26Mg+, (D) 27Al+, (E) 28Si+, (F) 31P+, (G) 56Fe+, and (H) 64Zn+, obtained by LA–ICP–TOFMS
imaging.
(A) Bright-field image of an ROI of the pleura sample of patient
3. Possible impurities are indicated by white arrows. Signal intensity
maps of (B) 23Na+, (C) 26Mg+, (D) 27Al+, (E) 28Si+, (F) 31P+, (G) 56Fe+, and (H) 64Zn+, obtained by LA–ICP–TOFMS
imaging.In terms of the pleura tissue
metallome, sodium, phosphorus, and
iron levels were among the most significant. First, elevated levels
of Na can be visualized across the ROI (Figure , panel B). With essential roles in the osmolarity
of the tumor microenvironment, an overabundance of sodium can impact
the cell volume, metabolism, and immune processes.[35] Moreover, high levels of Na can be associated with necrotic
areas with poor vascularization, characteristic to the tumor microenvironment.[35] Second, tumors are known to be phosphorus-demanding
due to the increased ribosomal biogenesis in malignant cells, which
requires a high amount of phosphorus.[36] Clusters of high phosphorus signals of similar intensity to that
of the talc particulates can be noted across the section (Figure , panel F). Interestingly,
the distribution of the Fe signal appeared to be significantly increased
around the talc deposits and in between clusters of these magnesium-rich
particulates. Irritants such as talc can trigger an enduring state
of inflammation,[32] which in turn may dysregulate
iron homeostasis in the lung.[37,38] Iron sequestration
by cancerous cells is also a hallmark of neoplastic transformation,
which can explain the high Fe signals in the vicinity of the talc
particulates (Figure , panel G).[39]
High-Resolution LA–ICP–TOFMS
Imaging of the Chest
Wall
Due to the increased pleural retention, asbestos fibers
rarely tend to pass the parietal pleura and reach the chest wall.[40] Accordingly, no asbestos fibers were detected
in the chest wall section of patient 4. However, as patient 4 had
a known history of edema and fibrosis (Table S2), the metallome of the chest wall was investigated by LA–ICP–TOFMS
imaging. Selected ROIs included areas with possible fibrosis caused
by prolonged chronic inflammation.[41] Elevated
signals of Mg, Fe, and Zn were recorded around the tissue scar (Figure ). Magnesium and
iron are known drivers of inflammatory responses by triggering cytokines,
macrophages, and other immune cells,[39,42] while zinc
has been associated with increased cellular proliferation.[43] Being an inflammation-driven mechanism characterized
by cellular overgrowth, elevated levels of these metals were expected
around the fibrotic regions (Figure , panels B, E, and F). Fibrosis is characterized by
overgrowth, hardening, and/or scarring of the tissues and is attributed
to excess deposition of the extracellular matrix.[41] The elevated levels of P around the fibrotic tissue supported
the “growth rate hypothesis”, which suggests that C/N/P
ratios are influenced by the protein synthesis demand,[44] and therefore, rapidly proliferating cells are
rich in phosphorus (Figure , panel C). Interestingly, sulfur was also present across
the tissue section, with significantly higher levels around the fibrotic
tissue (Figure , panel
D). The glycolytic metabolism is accelerated in cancer cells producing
high levels of sulfur-rich compounds via the Maillard reaction.[45]
Figure 4
(A) Bright-field image of an ROI of the chest wall sample
of patient
4. Signal intensity maps of (B) 24Mg+, (C) 31P+, (D) 32S+, (E) 56Fe+, and (F) 64Zn+, obtained by
LA–ICP–TOFMS imaging.
(A) Bright-field image of an ROI of the chest wall sample
of patient
4. Signal intensity maps of (B) 24Mg+, (C) 31P+, (D) 32S+, (E) 56Fe+, and (F) 64Zn+, obtained by
LA–ICP–TOFMS imaging.
Conclusions
Despite strict asbestos regulations being implemented
in the Western
World since the 1970s, MPM continues to be a burden to our societies.[46] Asbestos detection is required to establish
a causal link between the fibers and this malignancy; however, current
asbestos identification techniques fail to preserve the spatial information
and to detect fibers smaller than 5 μm.[47] Additionally, there is little knowledge on the key functions that
trace metals play in MPM progression.Following a successful
identification of asbestos and other mineral
fibers within MPM cellular models by LA–ICPMS imaging, the
analysis of human MPM tissue samples is a step further to integrating
LA–ICPMS as a clinical tool. This study is the first attempt
at mapping the multielement distribution of human MPM tissue samples
with the aim of detecting asbestos and other mineral fibers, as well
as getting insights into the tumor metallomics, with the use of LA–ICP–TOFMS
imaging.The initial step focused on optimizing the instrument
parameters
such as laser fluence and spot size by analyzing 2D MPM cellular models
spiked with known types of asbestos fibers. Subsequently, tissue samples
from four patients suffering from MPM of different pathologies and
locations were analyzed using ultra-fast, high-resolution LA–ICP–TOFMS
imaging. Asbestos fibers, most likely forming ferruginous bodies,
were detected in two out of the four subjects, both of which were
lung tissues. Interestingly, high levels of strontium, a PTE, were
yielded by the impurities present in these samples following ablation.
Strontium is not a commonly reported asbestos impurity, and there
is limited research regarding its role in MPM onset and pathogenesis.[27,28] Monitoring the metallome around the talc deposits offered insights
into the impact talc pleurodesis has on tissues, and it is important
to assess if the therapeutic benefits really outweigh the risks. The
presence of talc particulates led to a significant increase in tissue
damage and inflammation, as reflected by the high Fe signals, which
were up to 10× higher than that for the rest of subjects. In
terms of the metallome distribution, high levels of Mg, P, and Zn
were associated with areas of high metabolic activity and increased
proliferation, while Na overabundance was an indicative of poorly
vascularized hypoxic regions.Future work will focus on expanding
the pool of subjects with the
addition of benign and healthy tissue samples. Given the capabilities
of the LA–ICP–TOFMS instrumentation, which allows for
the monitoring of the entire mass range in a single run, biomarker
discovery and validation can be attempted using metal-tagged antibodies.
Authors: Michele Carbone; Prasad S Adusumilli; H Richard Alexander; Paul Baas; Fabrizio Bardelli; Angela Bononi; Raphael Bueno; Emanuela Felley-Bosco; Francoise Galateau-Salle; David Jablons; Aaron S Mansfield; Michael Minaai; Marc de Perrot; Patricia Pesavento; Valerie Rusch; David T Severson; Emanuela Taioli; Anne Tsao; Gavitt Woodard; Haining Yang; Marjorie G Zauderer; Harvey I Pass Journal: CA Cancer J Clin Date: 2019-07-08 Impact factor: 508.702
Authors: Oana M Voloaca; Calum J Greenhalgh; Laura M Cole; Malcolm R Clench; Amy J Managh; Sarah L Haywood-Small Journal: Rapid Commun Mass Spectrom Date: 2020-11-15 Impact factor: 2.419
Authors: Theresa K Leslie; Andrew D James; Fulvio Zaccagna; James T Grist; Surrin Deen; Aneurin Kennerley; Frank Riemer; Joshua D Kaggie; Ferdia A Gallagher; Fiona J Gilbert; William J Brackenbury Journal: Biochim Biophys Acta Rev Cancer Date: 2019-07-23 Impact factor: 10.680
Authors: Lucy E Flint; Gregory Hamm; Joseph D Ready; Stephanie Ling; Catherine J Duckett; Neil A Cross; Laura M Cole; David P Smith; Richard J A Goodwin; Malcolm R Clench Journal: Anal Chem Date: 2020-08-14 Impact factor: 6.986