Respiratory gating is the standard to overcome respiration effects degrading image quality in positron emission tomography (PET). Data-driven gating (DDG) using signals derived from PET raw data are promising alternatives to gating approaches requiring additional hardware. However, continuous bed motion (CBM) scans require dedicated DDG approaches for axially-extended PET, compared to DDG for conventional step-and-shoot scans. In this study, a CBM-capable DDG algorithm was investigated in a clinical cohort, comparing it to hardware-based gating using gated and fully motion-corrected reconstructions. Methods: 56 patients with suspected malignancies in thorax or abdomen underwent whole-body ¹⁸F-FDG CBM-PET/CT imaging using DDG and hardware-based respiratory gating (pressure-sensitive belt gating, BG). Correlation analyses were performed on both gating signals. Besides static reconstructions, BG and DDG were used for optimally-gated PET (BG-OG, DDG-OG) and fully motion-corrected PET (elastic motion correction; BG-EMOCO, DDG-EMOCO). Metabolic volumes, SUV_max and SUVmean of lesions were compared amongst the reconstructions. Additionally, the quality of lesion delineation in different PET reconstructions was independently evaluated by three experts. Results: Global correlation coefficients between BG and DDG signals amounted to 0.48±0.11, peaking at 0.89±0.07 when scanning the kidney and liver region. In total, 196 lesions were analyzed. SUV measurements were significantly higher in BG-OG, DDG-OG, BG-EMOCO and DDG-EMOCO compared to static images (P<0.001; median SUV_max: static, 14.3±13.4; BG-EMOCO, 19.8±15.7; DDG-EMOCO, 20.5±15.6; BG-OG, 19.6±17.1; DDG-OG, 18.9±16.6). No significant differences between BG-OG and DDG-OG, and BG-EMOCO and DDG-EMOCO, respectively, were found. Visual lesion delineation was significantly better in BG-EMOCO and DDG-EMOCO than in static reconstructions (P<0.001); no significant difference was found comparing BG and DDG (EMOCO, OG, respectively). Conclusion: DDG-based motion-compensation of CBM-PET acquisitions outperforms static reconstructions, delivering qualities comparable to hardware-based approaches. The new algorithm may be a valuable alternative for CBM-PET systems.

For oncological management or radiotherapy planning, reliable staging tools are essential. Recent development of quinoline-based ligands targeting cancer-associated fibroblasts demonstrated promising preclinical and clinical results. The current study aimed to evaluate the role of fibroblast activation protein inhibitors (FAPI)-positron-emission tomography (PET)/computed tomography (CT) for primary malignancies located within the lower gastrointestinal tract (LGT) as a very first clinical analysis. Methods: ⁶⁸Ga-FAPI-PET/CT was performed in a cohort of 22 patients with LGT including 15 patients with metastatic disease, 1 patient with suspected local relapse and 6 treatment-naïve patients. ⁶⁸Ga-FAPI-04 and ⁶⁸Ga-FAPI-46 uptake was quantified by standardized uptake values (SUV)max and (SUV)mean. After comparison with standard imaging, changes in tumor stage/ localization and (radio)oncological management were recorded. Results: The highest uptake of FAPI tracer was observed in liver metastases and anal cancer with a SUV_max of 9.1 and 13.9, respectively. Due to a low background activity in normal tissue, there was a high tumor-to-background ratio of more than 3 in most lesions. In treatment-naïve patients, TNM was changed in 50% while for patients with metastases new findings occurred in 47%. In total, FAPI-imaging caused a high, medium and low change of (radio)oncological management in 19%, 33% and 29%, respectively. For almost every patient undergoing irradiation, target volume delineation was improved by ⁶⁸Ga-FAPI-PET/CT. Conclusion: The present study demonstrated that both primary and metastatic LGT were reliably detected by ⁶⁸Ga-FAPI-PET/CT leading to relevant changes in TNM status and (radio)oncological management. ⁶⁸Ga-FAPI-PET/CT seems to be a highly promising imaging agent for the diagnosis and management of LGT, potentially opening new applications for tumor (re-)staging.

Recently introduced PET systems using silicon photomultipliers with digital readout (dPET) have an improved timing and spatial resolution, aiming at a better image quality, over conventional PET (cPET) systems. We prospectively evaluated the performance of a dPET system in patients with cancer, as compared to high-resolution (HR) cPET imaging. Methods: After a single FDG-injection, 66 patients underwent dPET (Vereos, Philips Healthcare) and cPET (Ingenuity TF, Philips Healthcare) imaging in a randomized order. We used HR-reconstructions (2x2x2 mm³ voxels) for both scanners and determined SUV_max, SUVmean, lesion-to-background ratio (LBR), metabolic tumor volume (MTV) and lesion diameter in up to 5 FDG-positive lesions per patient. Furthermore, we counted the number of visible and measurable lesions on each PET scan. Two nuclear medicine specialists blindly determined the Tumor Node Metastasis (TNM) score from both image sets in 30 patients referred for initial staging. For all 66 patients, these specialists separately and blindly evaluated image quality (4-point scale) and determined the scan preference. Results: We included 238 lesions that were visible and measurable on both PET scans. We found 37 additional lesions on dPET in 27 patients (41%), which were unmeasurable (n = 14) or invisible (n = 23) on cPET. SUVmean, SUV_max, LBR and MTV on cPET were 5.2±3.9 (mean±SD), 6.9±5.6, 5.0±3.6 and 2991±13251 mm³, respectively. On dPET SUVmean, SUV_max and LBR increased 24%, 23% and 27%, respectively (p<0.001) while MTV decreased 13% (p<0.001) compared to cPET. Visual analysis showed TNM upstaging with dPET in 13% of the patients (4/30). dPET images also scored higher in image quality (P = 0.003) and were visually preferred in the majority of cases (65%). Conclusion: Digital PET improved the detection of small lesions, upstaged the disease and images were visually preferred as compared to high-resolution conventional PET. More studies are necessary to confirm the superior diagnostic performance of digital PET.

Objective: To assess the feasibility and accuracy of Cerenkov Luminescence Imaging (CLI) for assessment of surgical margins intraoperatively during radical prostatectomy (RPE). Methods: A single centre feasibility study included 10 patients with high-risk primary prostate cancer (PC). ⁶⁸Ga-PSMA PET/CT scans were performed followed by RPE and intraoperative CLI of the excised prostate. In addition to imaging the intact prostate, in the first two patients the prostate gland was incised and imaged with CLI to visualise the primary tumour. We compared the tumour margin status on CLI to postoperative histopathology. Measured CLI intensities were determined as tumour to background ratio (TBR). Results: Tumour cells were successfully detected on the incised prostate CLI images as confirmed by histopathology. 3 of 10 men had histopathological positive surgical margins (PSMs), and 2 of 3 PSMs were accurately detected on CLI. Overall, 25 (72%) out of 35 regions of interest (ROIs) proved to visualize a tumour signal according to standard histopathology. The median tumour radiance in these areas was 11301 photons/s/cm²/sr (range 3328 - 25428 photons/s/cm²/sr) and median TBR was 4.2 (range 2.1 – 11.6). False positive signals were seen mainly at the prostate base with PC cells overlaid by benign tissue. PSMA-immunohistochemistry (PSMA-IHC) revealed strong PSMA staining of benign gland tissue, which impacts measured activities. Conclusion: This feasibility showed that ⁶⁸Ga-PSMA CLI is a new intraoperative imaging technique capable of imaging the entire specimen’s surface to detect PC tissue at the resection margin. Further optimisation of the CLI protocol, or the use of lower-energetic imaging tracers such as ¹⁸F-PSMA, are required to reduce false positives. A larger study will be performed to assess diagnostic performance.

The overexpression of integrin αvβ6 in pancreatic cancer makes it a promising target for noninvasive positron emission tomography (PET) imaging. However, currently, most integrin αvβ6-targeting radiotracers are based on linear peptides, which are quickly degraded in the serum by proteinases. Herein, we aimed to develop and assess a ⁶⁸Ga-labeled integrin αvβ6-targeting cyclic peptide (⁶⁸Ga-cycratide) for PET imaging of pancreatic cancer. Methods: ⁶⁸Ga-cycratide was prepared, and its PET imaging profile was compared with that of the linear peptide (⁶⁸Ga-linear-pep) in an integrin αvβ6-positive BxPC-3 human pancreatic cancer mouse model. Five healthy volunteers (two women and three men) underwent whole-body PET/CT imaging after injection of ⁶⁸Ga-cycratide, and biodistribution and dosimetry calculations were determined. PET/CT imaging of two patients was performed to investigate the potential role of ⁶⁸Ga-cycratide in pancreatic cancer diagnosis and treatment monitoring. Results: ⁶⁸Ga-cycratide exhibited significantly higher tumor uptake than did ⁶⁸Ga-linear-pep in BxPC-3 tumor-bearing mice, owing—at least in part—to markedly improved in vivo stability. ⁶⁸Ga-cycratide could sensitively detect the pancreatic cancer lesions in an orthotopic mouse model and was well tolerated in all healthy volunteers. Preliminary PET/CT imaging in patients with pancreatic cancer demonstrated that ⁶⁸Ga-cycratide was comparable to ¹⁸F-fludeoxyglucose for diagnostic imaging and post-surgery tumor relapse monitoring. Conclusion: ⁶⁸Ga-cycratide is an integrin αvβ6-specific PET radiotracer with favorable pharmacokinetics and dosimetry profile. ⁶⁸Ga-cycratide is expected to provide an effective noninvasive PET strategy for pancreatic cancer lesion detection and therapy response monitoring.

Recently, N-(4-¹⁸F-fluorobenzoyl)-interleukin-2 (¹⁸F-FB-IL2) was introduced as PET tracer for T-cell imaging. However, production is complex and time-consuming. Therefore, we developed two radiolabeled interleukin-2 (IL-2) variants, namely aluminum ¹⁸F-fluoride-(restrained complexing agent)-IL-2 (¹⁸F-AlF-RESCA-IL2) and ⁶⁸Ga-gallium-(1,4,7-triazacyclononane-4,7-diacetic acid-1-glutaric acid)-IL-2 (⁶⁸Ga-Ga-NODAGA-IL2) and compared their in-vitro and in-vivo characteristics with ¹⁸F-FB-IL2. Methods: Radiolabeling of ¹⁸F-AlF-RESCA-IL2 and ⁶⁸Ga-Ga-NODAGA-IL2 was optimized and stability was evaluated in human serum. Receptor binding was studied with activated human peripheral blood mononuclear cells (hPBMCs). Ex-vivo tracer biodistribution in immunocompetent BALB/cOlaHsd (BALB/c) mice was performed at 15, 60 and 90 min after tracer injection. In-vivo binding characteristics were studied in severe combined immune-deficient (SCID) mice inoculated with activated hPBMCs in Matrigel. Tracer was injected 15 min after hPBMCs inoculation and a 60-min dynamic PET scan was acquired, followed by ex-vivo biodistribution studies. Specific uptake was determined by co-injection of tracer with unlabeled IL2 and by evaluating uptake in a control group inoculated with Matrigel only. Results: ⁶⁸Ga-Ga-NODAGA-IL2 and ¹⁸F-AlF-RESCA-IL2 were produced with radiochemical purity >95% and radiochemical yield of 13.1±4.7% and 2.4±1.6% within 60 and 90 min, respectively. Both tracers were stable in serum, with >90% being intact tracer after 1h. In-vitro, both tracers displayed preferential binding to activated hPBMCs. Ex-vivo biodistribution studies in BALB/c mice showed higher uptake of ¹⁸F-AlF-RESCA-IL2 than ¹⁸F-FB-IL2 in liver, kidney, spleen, bone and bone marrow. ⁶⁸Ga-Ga-NODAGA-IL2 uptake in liver and kidney was higher than ¹⁸F-FB-IL2 uptake. In-vivo, all tracers revealed uptake in activated hPBMCs in SCID mice. Low uptake was seen after a blocking dose of IL2 or in the Matrigel control group. In addition, ¹⁸F-AlF-RESCA-IL2 yielded highest contrast PET images of target lymph nodes. Conclusion: Production of ¹⁸F-AlF-RESCA-IL2 and ⁶⁸Ga-Ga-NODAGA-IL2 is simpler and faster than ¹⁸F-FB-IL2. Both tracers showed good in-vitro and in-vivo characteristics with high uptake in lymphoid tissue and hPBMC xenografts.

The kappa opioid receptor (KOR) is implicated in various neuropsychiatric disorders. We previously evaluated an agonist tracer, ¹¹C-GR103545, for PET imaging of KOR in humans. Although ¹¹C-GR103545 showed high brain uptake, good binding specificity, and selectivity to KOR, it displayed slow kinetics and relatively large test-retest variability (TRV) of distribution volume (V_T) estimates (15%). Therefore we set out to develop two novel KOR agonist radiotracers, ¹¹C-EKAP and ¹¹C-FEKAP, and in nonhuman primates, both tracers exhibited faster kinetics and comparable binding parameters to ¹¹C-GR103545. The aim of this study was to assess their kinetic and binding properties in humans. Methods: Six healthy subjects underwent 120-min test-retest PET scans with both ¹¹C-EKAP and ¹¹C-FEKAP. Metabolite-corrected arterial input functions were measured. Regional time-activity curves (TACs) were generated for 14 regions of interest. One- and two-tissue compartment models (1TC, 2TC) and the multilinear analysis-1 (MA1) method were applied to the regional TACs to calculate V_T. Time-stability of V_T values and test-retest reproducibility were evaluated. Levels of specific binding, as measured by the non-displaceable binding potential (BP_ND) for the three tracers (¹¹C-EKAP, ¹¹C-FEKAP and ¹¹C-GR103545), were compared using a graphical method. Results: For both tracers, regional TACs were fitted well with the 2TC model and MA1 method (t*=20min), but not with the 1TC model. Given unreliably estimated parameters in several fits with the 2TC model and a good match between V_T values from MA1 and 2TC, MA1 was chosen as the appropriate model for both tracers. Mean MA1 V_T values were highest for ¹¹C-GR103545, followed by ¹¹C-EKAP, then ¹¹C-FEKAP. Minimum scan time for stable V_T measurement was 90 and 110min for ¹¹C-EKAP and ¹¹C-FEKAP, respectively, compared with 140min for ¹¹C-GR103545. The mean absolute TRV in MA1 V_T estimates was 7% and 18% for ¹¹C-EKAP and ¹¹C-FEKAP, respectively. BP_ND levels were similar for ¹¹C-FEKAP and ¹¹C-GR103545, but ~25% lower for ¹¹C-EKAP. Conclusion: The two novel KOR agonist tracers showed faster tissue kinetics than ¹¹C-GR103545. Even with slightly lower BP_ND, ¹¹C-EKAP is judged to be a better tracer for imaging and quantification of KOR in humans, based on the shorter minimum scan time and excellent test-retest.

We developed a first-of-kind dasatinib-derivative imaging agent, ¹⁸F-SKI-249380 (¹⁸F-SKI), and validated its use for noninvasive in vivo tyrosine kinase-targeted tumor detection in preclinical models. In this study, we assess the feasibility of using ¹⁸F-SKI for PET imaging in patients with malignancies. Methods: Five patients with a prior diagnosis of breast cancer, renal cell cancer, or leukemia underwent whole-body PET/CT imaging 90 min post-injection of ¹⁸F-SKI (mean: 241.24 ± 116.36 MBq) as part of a prospective study. In addition, patients underwent either a 30-min dynamic scan of the upper abdomen including, at least partly, cardiac left ventricle, liver, spleen, and kidney (n = 2) or three 10-min whole-body PET/CT scans (n = 3) immediately post-injection and blood-based radioactivity measurements to determine the time course of tracer distribution and facilitate radiation dose estimates. A subset of three patients had a delayed whole-body PET/CT scan at 180 min. Biodistribution, dosimetry, and tumor uptake were quantified. Absorbed doses were calculated using OLINDA/EXM 1.0. Results: No adverse events occurred after injection of ¹⁸F-SKI. A total of 27 tumor lesions were analyzed with median SUVpeak 1.4 (range, 0.7–2.3) and tumor-to-blood ratios of 1.6 (range, 0.8–2.5) at 90 min post-injection. Intratumoral drug concentrations calculated for four reference lesions ranged from 0.03–0.07 nM. In all reference lesions, constant tracer accumulation was observed between 30–90 min post-injection. Blood radio-assay indicated that radiotracer clearance from blood and plasma was initially rapid (blood half-time 1.31 ± 0.81 min, plasma 1.07 ± 0.66 min; n = 4), followed variably by either a prolonged terminal phase (blood half-time 285 ± 148.49 min, plasma 240 ± 84.85 min; n = 2) or a small rise to plateau (n = 2). Like dasatinib, ¹⁸F-SKI underwent extensive metabolism post-administration, as evidenced by metabolite analysis. Radioactivity was predominantly cleared via the hepatobiliary route. The highest absorbed dose estimates (mGy/MBq) in normal tissues were to the right colon (0.167 ± 0.04) and small intestine (0.153 ± 0.03). The effective dose was 0.0258 (SD 0.0034) mSv/MBq. Conclusion: ¹⁸F-SKI demonstrated significant tumor uptake, distinct image contrast despite low injected doses, and rapid clearance from blood.

The majority of epithelial tumors recruits fibroblasts and other non-malignant cells and activates them into cancer-associated fibroblasts. This often leads to overexpression of the membrane serine protease fibroblast-activating protein (FAP). It has already been shown that DOTA-bearing FAP inhibitors (FAPIs) generate high contrast images with PET/CT scans. Since SPECT is a lower cost and more widely available alternative to PET, ^99mTc-labeled FAPIs represent attractive tracers for imaging applicable in a larger number of patients. Furthermore, the chemically homologous nuclide 188Re is available from generators, which allows FAP-targeted endoradiotherapy. Methods: For the preparation of ^99mTc tricarbonyl complexes, a chelator was selected whose carboxylic acids can easily be converted into various derivatives in the finished product. This enabled a platform strategy based on the original tracer. The obtained ^99mTc complexes were investigated in vitro by binding and competition experiments on FAP-transfected HT-1080 (HT-1080-FAP) and/or on mouse FAP expressing (HEK-muFAP) and CD26-expressing (HEKCD26) HEK cells and characterized by planar scintigraphy and organ distribution studies in tumor-bearing mice. Furthermore, a first-in-man application was done in two patients with ovarian and pancreatic cancer, respectively. Results: ^99mTc-FAPI-19 showed specific binding to recombinant FAP-expressing cells with high affinity. Unfortunately, liver accumulation, biliary excretion and no tumor uptake were observed in the planar scintigraphy of a HT-1080-FAP xenotranplanted mouse. To improve the pharmacokinetic properties hydrophilic amino acids were attached to the chelator moiety of the compound. The resulting ^99mTc-labeled FAPI tracers revealed excellent binding properties (up to 45 % binding; above 95 % internalization), high affinity (IC50 = 6.4 nM to 12.7 nM), and significant tumor uptake (up to 5.4 %ID/g) in biodistribution studies. The lead candidate ^99mTc-FAPI-34 was applied for diagnostic scintigraphy and SPECT of patients with metastasized ovarian and pancreatic cancer for follow-up to therapy with ⁹⁰Y-FAPI-46. ^99mTc-FAPI-34 accumulated in the tumor lesions also shown in PET/CT imaging using ⁶⁸Ga-FAPI-46. Conclusion: ^99mTc-FAPI-34 represents a powerful tracer for diagnostic scintigraphy, especially in cases where PET imaging is not available. Additionally, the chelator used in this compound allows labeling with the therapeutic nuclide 188Re which is planned for the near future.

Background: Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be carried out using precomputed tables of Specific Absorbed Fractions (SAFs) or S values based on dosimetric models. The OpenDose collaboration aims to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from mono-energetic SAFs, based on the radioisotope decay data presented in the International Commission on Radiological Protection (ICRP) publication 107. Results: The OpenDose collaboration produced SAFs for all source regions and targets combinations of the two ICRP 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with standard deviations below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA 2 (commercial) and IDAC 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and download of SAFs and the corresponding S values for 1252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resources.

For individual treatment decisions in patients with metastatic prostate cancer (mPC), molecular diagnostics are increasingly used. Bone metastases are frequently the only source for obtaining metastatic tumor tissue. However, the success rate of computed tomography (CT)-guided bone biopsies for molecular analyses in mPC patients is only ~40%. Positron emission tomography (PET) using Gallium-68 prostate specific membrane antigen (⁶⁸Ga-PSMA) is a promising tool to improve the harvest rate of bone biopsies for molecular analyses. Aim of this study was to determine the success rate of ⁶⁸Ga-PSMA guided bone biopsies for molecular diagnostics in mPC patients. Methods: Within a prospective multicenter whole-genome sequencing trial (NCT01855477), 69 mPC patients underwent ⁶⁸Ga-PSMA PET/CT prior to bone biopsy. Primary endpoint was success rate (tumor percentage ≥30%) of ⁶⁸Ga-PSMA guided bone biopsies. At biopsy sites, ⁶⁸Ga-PSMA uptake was quantified using rigid body image registration of ⁶⁸Ga-PSMA PET/CT and interventional CT. Actionable somatic alterations were identified. Results: Success rate of ⁶⁸Ga-PSMA guided biopsies for molecular analyses was 70%. At biopsy sites categorized as positive, inconclusive, or negative for ⁶⁸Ga-PSMA uptake, 70%, 64%, and 36% of biopsies were tumor positive (≥30%), respectively (P = 0.0610). In tumor positive biopsies, ⁶⁸Ga-PSMA uptake was significantly higher (P = 0.008), whereas radiodensity was significantly lower (P = 0.006). With an area under the curve of 0.84 and 0.70, both ⁶⁸Ga-PSMA uptake (maximum standardized uptake value) and radiodensity (mean Hounsfield Units) were strong predictors for a positive biopsy. Actionable somatic alterations were detected in 73% of the sequenced biopsies. Conclusion: In patients with mPC, ⁶⁸Ga-PSMA PET/CT improves the success rate of CT-guided bone biopsies for molecular analyses, thereby identifying actionable somatic alterations in more patients. Therefore, ⁶⁸Ga-PSMA PET/CT may be considered for guidance of bone biopsies in both clinical practice and clinical trials.

Rationale: Fluorescence molecular endoscopy (FME) is an emerging technique that has the potential to improve the 22% colorectal polyp detection miss-rate. We determined the optimal dose-to-imaging interval and safety of FME using EMI-137, a c-Met targeted fluorescent peptide, in a population at high-risk for colorectal cancer. Methods: We performed in vivo FME and quantification of fluorescence by multi-diameter single-fiber reflectance, single-fiber fluorescence spectroscopy in 15 patients with a dysplastic colorectal adenoma. EMI-137 was intravenously administered (0.13mg/kg) at a one-, two- or three-hour dose-to-imaging interval (N = 3 patients per cohort). Two cohorts were expanded to six patients based on target-to-background ratios (TBR). Fluorescence was correlated to histopathology and c-Met expression. EMI-137 binding specificity was assessed by fluorescence microscopy and in vitro experiments. Results: FME using EMI-137 appeared to be safe and well tolerated. All dose-to-imaging intervals showed significantly increased fluorescence in the colorectal lesions compared to surrounding tissue, with a TBR of 1.53, 1.66 and 1.74 respectively (mean intrinsic fluorescence (Q·μ^f_a,x) = 0.035 vs. 0.023mm^-1, P<0.0003; 0.034 vs. 0.021mm^-1, P<0.0001; 0.033 vs. 0.019mm^-1, P<0.0001). Fluorescence correlated to histopathology on a macroscopic and microscopic level, with significant c-Met overexpression in dysplastic mucosa. In vitro, a dose-dependent specific binding was confirmed. Conclusion: FME using EMI-137 appeared to be safe and feasible within a one-to-three hour dose-to-imaging interval. No clinically significant differences were observed between the cohorts, although a one-hour dose-to-imaging interval was preferred from a clinical perspective. Future studies will investigate EMI-137 for improved colorectal polyp detection during screening colonoscopies.

para-Aminobenzoic acid (PABA) has been previously used as an exogenous marker to verify completion of 24-hour urine sampling. Therefore, we hypothesized that radiolabeled PABA with ¹¹C could allow high-quality dynamic PET of the kidneys while reducing the radiation exposure due to its short biological and physical half-lives. We evaluated if ¹¹C-PABA could visualize renal anatomy and quantify function in healthy rats, rabbits, and first-in-human studies in healthy volunteers. Methods: Healthy rats and rabbits were injected with ¹¹C-PABA intravenously. Subsequently, a dynamic PET was performed, followed by post-mortem tissue biodistribution studies. 11C-PABA PET was directly compared with the current standard, ^99mTc-MAG3 in rats. Three healthy human subjects also underwent dynamic PET after intravenous injection of ¹¹C-PABA. Results: In healthy rats and rabbits, dynamic PET demonstrated a rapid accumulation of ¹¹C-PABA in the renal cortex, followed by rapid excretion through the pelvicalyceal system. In humans, ¹¹C-PABA PET was safe and well tolerated. There were no adverse or clinically detectable pharmacologic effects in any subject. The cortex was delineated on PET, and the activity gradually transited to the medulla and then renal pelvis with high spatiotemporal resolution. Conclusion: ¹¹C-PABA demonstrated fast renal excretion with very low background signal in animals and humans. These results suggest that ¹¹C-PABA could be used as a novel radiotracer for functional renal imaging, providing high-quality spatiotemporal images with low radiation exposure.

Latest digital whole-body PET scanners provide a combination of higher sensitivity and improved spatial and timing resolution. We performed a lesion detectability study on two generations of Siemens Biograph PET/CT scanners, the mCT and Vision, to study the impact of improved physical performance on clinical performance. Our hypothesis is that the improved performance of the Vision will result in improved lesion detectability, allowing shorter imaging times or equivalently, lower injected dose. Methods: Data were acquired with the Society of Nuclear Medicine and Molecular Imaging Clinical Trials Network torso phantom combined with a 20-cm diameter cylindrical phantom. Spherical lesions were emulated by acquiring spheres-in-air data, and combining it with the phantom data to generate combined datasets with embedded lesions of known contrast. Two sphere sizes and uptakes were used: 9.89 mm diameter spheres with 6:1 (lung) and 3:1 (cylinder) and 4.95 mm diameter spheres with 9.6:1 (lung) and 4.5:1 (cylinder) local activity concentration uptakes. Standard image reconstruction was performed: ordinary Poisson ordered subsets expectation maximization algorithm with point spread function and time-of-flight modeling and post-reconstruction smoothing with a 5 mm Gaussian filter. The Vision images were also generated without any post-reconstruction smoothing. Generalized scan statistics methodology was used to estimate the area under the localization receiver operating characteristic curve (ALROC). Results: Higher sensitivity and improved TOF performance of Vision leads to reduced contrast in the background noise nodule distribution. Measured lesion contrast is also higher on the Vision due to its improved spatial resolution. Hence, the ALROC values are noticeably higher for the Vision relative to the mCT. Conclusion: Improved overall performance of the Vision provides a factor of 4-6 reduction in imaging time (or injected dose) over the mCT when using the ALROC metric for lesions >9.89 mm in diameter. Smaller lesions are barely detected in the mCT, leading to even higher ALROC gains with the Vision. Improved spatial resolution of the Vision also leads to a higher measured contrast that is closer to the real uptake, implying improved quantification. Post-reconstruction smoothing, however, reduces this improvement in measured contrast, thereby reducing the ALROC values for small, high uptake lesions.

Objectives: The study compared the diagnostic performance of Planar Ventilation/perfusion (V/Q) and V/Q Single-photon computed tomography (SPECT), and determined whether combining perfusion scanning with low-dose computed tomography (Q-LDCT) may be equally effective in a prospective study of patients with chronic thromboembolic pulmonary hypertension (CTEPH) patients. Background: V/Q scanning is recommended for excluding CTEPH during the diagnosis of pulmonary hypertension (PH). However, Planar V/Q and V/Q SPECT techniques have yet to be compared in patients with CTEPH. Methods: Patients with suspected PH were eligible for the study. PH attributable to left heart disease or lung disease was excluded, and patients whose PH was confirmed by right heart catheterization and who completed Planar V/Q, V/Q-SPECT, Q-LDCT, and pulmonary angiography were included. V/Q images were interpreted and patients were diagnosed as instructed by the 2009 EANM guidelines, and pulmonary angiography analyses were used as a reference standard. Results: A total of 208 patients completed the study, including 69 with CTEPH confirmed by pulmonary angiography. Planar V/Q, V/Q-SPECT, and Q-LDCT were all highly effective for diagnosing CTEPH, with no significant differences in sensitivity or specificity observed among the three techniques (Planar V/Q [sensitivity/specificity]: 94.20%/92.81%; V/Q-SPECT: 97.10%/91.37%, Q-LCDT: 95.65%/90.65%). However, V/Q-SPECT was significantly more sensitive (V/Q-SPECT: 79.21%; Planar V/Q: 75.84%, P = 0.012; Q-LDCT: 74.91%, p<0.001), and Planar V/Q was significantly more specific (Planar V/Q: 54.14%; V/Q-SPECT 46.05%, p<0.001; Q-LDCT: 46.05%, P = 0.001) than the other two techniques for identifying perfusion defects in individual lung segments. Conclusion: Both Planar V/Q and V/Q-SPECT were highly effective for diagnosing CTEPH, and Q-LDCT may be a reliable alternative method for patients who are unsuitable for ventilation imaging.

A data-driven method for respiratory gating in PET has recently been commercially developed. We sought to compare the performance of the algorithm to an external, device-based system for oncological [¹⁸F]-FDG PET/CT imaging. Methods: 144 whole-body [¹⁸F]-FDG PET/CT examinations were acquired using a Discovery D690 or D710 PET/CT scanner (GE Healthcare), with a respiratory gating waveform recorded by an external, device based respiratory gating system. In each examination, two of the bed positions covering the liver and lung bases were acquired with duration of 6 minutes. Quiescent period gating retaining ~50% of coincidences was then able to produce images with an effective duration of 3 minutes for these two bed positions, matching the other bed positions. For each exam, 4 reconstructions were performed and compared: data driven gating (DDG-retro), external device-based gating (RPM Gated), no gating but using only the first 3 minutes of data (Ungated Matched), and no gating retaining all coincidences (Ungated Full). Lesions in the images were quantified and image quality was scored by a radiologist, blinded to the method of data processing. Results: The use of DDG-retro was found to increase SUVmax and to decrease the threshold-defined lesion volume in comparison to each of the other reconstruction options. Compared to RPM-gated, DDG-retro gave an average increase in SUV_max of 0.66 ± 0.1 g/mL (n=87, p<0.0005). Although results from the blinded image evaluation were most commonly equivalent, DDG-retro was preferred over RPM gated in 13% of exams while the opposite occurred in just 2% of exams. This was a significant preference for DDG-retro (p=0.008, n=121). Liver lesions were identified in 23 exams. Considering this subset of data, DDG-retro was ranked superior to Ungated Full in 6/23 (26%) of cases. Gated reconstruction using the external device failed in 16% of exams, while DDG-retro always provided a clinically acceptable image. Conclusion: In this clinical evaluation, the data driven respiratory gating technique provided superior performance as compared to the external device-based system. For the majority of exams the performance was equivalent, but data driven respiratory gating had superior performance in 13% of exams, leading to a significant preference overall.

Gone are the days when medical imaging was used primarily to visualize anatomical structures. The emergence of molecular imaging, championed by radiolabeled fluorodeoxyglucose positron emission tomography (¹⁸FDG PET) has expanded the information content derived from imaging to include pathophysiological and molecular processes. Cancer imaging, in particular, has leveraged advances in molecular imaging agents and technology to improve the accuracy of tumor detection, interrogate tumor heterogeneity, monitor treatment response, focus surgical resection, and enable image-guided biopsy. Surgeons are actively latching on to the incredible opportunities provided by medical imaging for preoperative planning, intraoperative guidance, and postoperative monitoring. From label-free techniques to enabling cancer-selective imaging agents, image-guided surgery provides surgical oncologists and interventional radiologists both macroscopic and microscopic views of cancer in the operating room. This review highlights the current state of molecular imaging and sensing approaches available for surgical guidance. Salient features of nuclear, optical, and multimodal approaches will be discussed, including their strengths, limitations and clinical applications. To address the increasing complexity and diversity of methods available today, this review provides a framework to identify a contrast mechanism, suitable modality, and device. Emerging low cost, portable, and user-friendly imaging systems make the case for adopting some of these technologies as the global standard of care in surgical practice.

Prostate specific membrane antigen (PSMA) targeting Positron Emission Tomography (PET) imaging is becoming the reference standard for prostate cancer (PC) staging, especially in advanced disease. Yet, the implications of PSMA-PET derived whole-body tumor volume for overall survival are poorly elucidated to date. This might be due to the fact that (semi-) automated quantification of whole-body tumor volume as PSMA-PET biomarker is an unmet clinical challenge. Therefore, a novel semi-automated software is proposed and evaluated by the present study, which enables the semi-automated quantification of PSMA-PET biomarkers such as whole-body tumor volume. Methods: The proposed quantification is implemented as a research prototype (MI Whole Body Analysis Suite, v1.0, Siemens Medical Solutions USA, Inc., Knoxville, TN). PSMA accumulating foci were automatically segmented by a percental threshold (50% of local SUV_max). Neural networks were trained to segment organs in PET-CT acquisitions (training CTs: 8,632, validation CTs: 53). Thereby, PSMA foci within organs of physiologic PSMA uptake were semi-automatically excluded from the analysis. Pretherapeutic PSMA-PET-CTs of 40 consecutive patients treated with ¹⁷⁷Lu-PSMA-617 therapy were evaluated in this analysis. The volumetric whole-body tumor volume (PSMATV50), SUV_max, SUVmean and other whole-body imaging biomarkers were calculated for each patient. Semi-automatically derived results were compared with manual readings in a sub-cohort (by one nuclear medicine physician using syngo.MM Oncology software, Siemens Healthineers, Knoxville, TN). Additionally, an inter-observer evaluation of the semi-automated approach was performed in a sub-cohort (by two nuclear medicine physicians). Results: Manually and semi automatically derived PSMA metrics were highly correlated (PSMATV50: R2=1.000; p<0.001; SUV_max: R2=0.988; p<0.001). The inter-observer agreement of the semi-automated workflow was also high (PSMATV50: R2=1.000; p<0.001; ICC=1.000; SUV_max: R2=0.988; p<0.001; ICC=0.997). PSMATV50 [ml] was a significant predictor of overall survival (HR: 1.004; 95%CI: 1.001-1.006, P = 0.002) and remained so in a multivariate regression including other biomarkers (HR: 1.004; 95%CI: 1.001-1.006 P = 0.004). Conclusion: PSMATV50 is a promising PSMA-PET biomarker that is reproducible and easily quantified by the proposed semi-automated software. Moreover, PSMATV50 is a significant predictor of overall survival in patients with advanced prostate cancer that receive ¹⁷⁷Lu-PSMA-617 therapy.

The purpose of this study was to establish the dose-response relationship of selective internal radiation therapy (SIRT) in patients with metastatic colorectal cancer (mCRC), when informed by radiobiological sensitivity parameters derived from mCRC cell lines exposed to yttrium-90 (⁹⁰Y). Methods: 23 mCRC patients with liver metastases refractory to chemotherapy were included. ⁹⁰Y bremsstrahlung SPECT images were transformed into dose maps assuming the local dose deposition method. Baseline and follow-up CT scans were segmented to derive liver and tumor volumes. Mean, median, and D₇₀ (minimum dose to 70% of tumor volume) values determined from dose maps were correlated with change in tumor volume and vRECIST response using linear and logistic regression, respectively. Radiosensitivity parameters determined by clonogenic assays of mCRC cell lines HT-29 and DLD-1 after exposure to ⁹⁰Y or external beam radiotherapy (EBRT; 6MV photons) were used in biological effective dose (BED) calculations. Results: Mean administered radioactivity was 1469±428 MBq (847-2185 MBq), achieving a mean radiation absorbed tumor dose of 35.5±9.4 Gy and mean normal liver dose of 26.4±6.8 Gy. A 1.0 Gy increase in mean, median, and D₇₀ absorbed dose was associated with reduction in tumor volume of 1.8%, 1.8%, and 1.5%, respectively, and increased probability of vRECIST response (odds ratio: 1.09, 1.09, and 1.10 respectively). Threshold mean, median and D₇₀ doses for response were 48.3, 48.8, and 41.8 Gy respectively. EBRT-equivalent BEDs for ⁹⁰Y are up to 50% smaller than those calculated by applying protraction-corrected radiobiological parameters derived from EBRT alone. Conclusion: Dosimetric studies have assumed equivalence between ⁹⁰Y SIRT and EBRT, leading to inflation of BED for SIRT and possible under-treatment. Radiobiological parameters for ⁹⁰Y were applied to a BED model, providing a calculation method that has the potential to improve assessment of tumor control.

Invitation Only Research Event

Event participants

Abebe Aemro Selassie, Director, African Department, International Monetary Fund
Chair: Elizabeth Donnelly, Deputy Head and Research Fellow, Africa Programme, Chatham House

3 October 2019

The Chatham House Africa Programme designed the Sudan Stakeholder Dialogues series to help identify the factors that have led to the current economic crisis, the immediate steps that need to be taken to avert collapse and stabilize the economy, and the longer-term structural reforms required to set Sudan on the path to recovery. The project is funded by Humanity United.

10 October 2019

This briefing note is the result of a collaborative research process with the Zimbabwean private sector, government representatives, industry organizations and experts, drawing on best practice and senior-level insights to identify policy options for long-term economic revival and expansion in Zimbabwe, and pathways for inclusive development.

Research Event

Event participants

Alan Boswell, Senior Analyst for South Sudan, International Crisis Group
Miklos Gosztonyi, Conflict Analyst, South Sudan, Norwegian Refugee Council
Naomi Pendle, Research Fellow, Firoz Lalji Centre for Africa, London School of Economics
Golda Abbé, Founding Member, Ghidam (Via Skype)
Chair: Teohna Williams, CEO, Business Plan for Peace

31 October 2019

Trade between Central and Eastern Europe and sub-Saharan Africa has increased significantly in the last decade and a half. There is a strong case to be made for greater economic re-engagement, especially in terms of investment, that has the potential to support inclusive growth in both regions.

Invitation Only Research Event

Event participants

Professor Nick Binedell, Founding Director and Sasol Chair of Strategic Management, Gordon Institute of Business Science (GIBS), University of Pretoria

Research Event

Event participants

Hon. Manuel José Nunes Júnior, Minister of State for Economic Coordination, Republic of Angola
Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

Research Event

Event participants

Helen Alderson, Head of Regional Delegation to UK and Ireland, International Committee of the Red Cross
Paul van Zyl, Co-Founder and Chief Creative Officer, The Conduit
Maya Marissa Malek, Chief Executive Officer, Amanie Advisors Global Office
Chair: Maram Ahmed, Senior Teaching Fellow, SOAS, University of London

Research Event

Event participants

Tutu Alicante, Executive Director, EG Justice
Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

Research Event

Event participants

HE Nana Akufo-Addo, President of the Republic of Ghana
Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

Research Event

Event participants

Paul Mashatile, Treasurer General, African National Congress (ANC)

4 March 2020 , Volume 96, Number 2

Research Event

Event participants

Dr Hafez Ghanem, Vice President for Africa, World Bank
Chair: Elizabeth Donnelly, Deputy Director, Africa Programme, Chatham House

Research Event

Event participants

21 April 2020

Research Event

Event participants

In bottom-up, label-free discovery proteomics, biological samples are acquired in a data-dependent (DDA) or data-independent (DIA) manner, with peptide signals recorded in an intact (MS1) and fragmented (MS2) form. While DDA has only the MS1 space for quantification, DIA contains both MS1 and MS2 at high quantitative quality. DIA profiles of complex biological matrices such as tissues or cells can contain quantitative interferences, and the interferences at the MS1 and the MS2 signals are often independent. When comparing biological conditions, the interferences can compromise the detection of differential peptide or protein abundance and lead to false positive or false negative conclusions.

We hypothesized that the combined use of MS1 and MS2 quantitative signals could improve our ability to detect differentially abundant proteins. Therefore, we developed a statistical procedure incorporating both MS1 and MS2 quantitative information of DIA. We benchmarked the performance of the MS1-MS2-combined method to the individual use of MS1 or MS2 in DIA using four previously published controlled mixtures, as well as in two previously unpublished controlled mixtures. In the majority of the comparisons, the combined method outperformed the individual use of MS1 or MS2. This was particularly true for comparisons with low fold changes, few replicates, and situations where MS1 and MS2 were of similar quality. When applied to a previously unpublished investigation of lung cancer, the MS1-MS2-combined method increased the coverage of known activated pathways.

Since recent technological developments continue to increase the quality of MS1 signals (e.g. using the BoxCar scan mode for Orbitrap instruments), the combination of the MS1 and MS2 information has a high potential for future statistical analysis of DIA data.

Top-down proteomics studies intact proteoform mixtures and offers important advantages over more common bottom-up proteomics technologies, as it avoids the protein inference problem. However, achieving complete molecular characterization of investigated proteoforms using existing technologies remains a fundamental challenge for top-down proteomics. Here, we benchmark the performance of ultraviolet photodissociation (UVPD) using 213 nm photons generated by a solid-state laser applied to the study of intact proteoforms from three organisms. Notably, the described UVPD setup applies multiple laser pulses to induce ion dissociation, and this feature can be used to optimize the fragmentation outcome based on the molecular weight of the analyzed biomolecule. When applied to complex proteoform mixtures in high-throughput top-down proteomics, 213 nm UVPD demonstrated a high degree of complementarity with the most employed fragmentation method in proteomics studies, higher-energy collisional dissociation (HCD). UVPD at 213 nm offered higher average proteoform sequence coverage and degree of proteoform characterization (including localization of post-translational modifications) than HCD. However, previous studies have shown limitations in applying database search strategies developed for HCD fragmentation to UVPD spectra which contains up to nine fragment ion types. We therefore performed an analysis of the different UVPD product ion type frequencies. From these data, we developed an ad hoc fragment matching strategy and determined the influence of each possible ion type on search outcomes. By paring down the number of ion types considered in high-throughput UVPD searches from all types down to the four most abundant, we were ultimately able to achieve deeper proteome characterization with UVPD. Lastly, our detailed product ion analysis also revealed UVPD cleavage propensities and determined the presence of a product ion produced specifically by 213 nm photons. All together, these observations could be used to better elucidate UVPD dissociation mechanisms and improve the utility of the technique for proteomic applications.

The molecular mechanisms underlying exceptional radioresistance in pancreatic cancer remain elusive. In the present study, we established a stable radioresistant pancreatic cancer cell line MIA PaCa-2-R by exposing the parental MIA PaCa-2 cells to fractionated ionizing radiation (IR). Systematic proteomics and bioinformatics analysis of protein expression in MIA PaCa-2 and MIA PaCa-2-R cells revealed that several growth factor-/cytokine-mediated pathways, including the OSM/STAT3, PI3K/AKT, and MAPK/ERK pathways, were activated in the radioresistant cells, leading to inhibition of apoptosis and increased epithelial-mesenchymal plasticity. In addition, the radioresistant cells exhibited enhanced capabilities of DNA repair and antioxidant defense compared with the parental cells. We focused functional analysis on one of the most up-regulated proteins in the radioresistant cells, ecto-5'-nucleotidase (CD73), which is a cell surface protein that is overexpressed in different types of cancer. Ectopic overexpression of CD73 in the parental cells resulted in radioresistance and conferred resistance to IR-induced apoptosis. Knockdown of CD73 re-sensitized the radioresistant cells to IR and IR-induced apoptosis. The effect of CD73 on radioresistance and apoptosis is independent of the enzymatic activity of CD73. Further studies demonstrate that CD73 up-regulation promotes Ser-136 phosphorylation of the proapoptotic protein BAD and is required for maintaining the radioresistant cells in a mesenchymal state. Our findings suggest that expression alterations in the IR-selected pancreatic cancer cells result in hyperactivation of the growth factor/cytokine signaling that promotes epithelial-mesenchymal plasticity and enhancement of DNA repair. Our results also suggest that CD73, potentially a novel downstream factor of the enhanced growth factor/cytokine signaling, confers acquired radioresistance by inactivating proapoptotic protein BAD via phosphorylation of BAD at Ser-136 and by maintaining the radioresistant pancreatic cancer cells in a mesenchymal state.

Aberrantly high mTORC1 signaling is a known driver of many cancers and human disorders, yet pharmacological inhibition of mTORC1 rarely confers durable clinical responses. To explore alternative therapeutic strategies, herein we conducted a proteomics survey to identify cell surface proteins upregulated by mTORC1. A comparison of the surfaceome from Tsc1^–/– versus Tsc1^+/+ mouse embryonic fibroblasts revealed 59 proteins predicted to be significantly overexpressed in Tsc1^–/– cells. Further validation of the data in multiple mouse and human cell lines showed that mTORC1 signaling most dramatically induced the expression of the proteases neprilysin (NEP/CD10) and aminopeptidase N (APN/CD13). Functional studies showed that constitutive mTORC1 signaling sensitized cells to genetic ablation of NEP and APN, as well as the biochemical inhibition of APN. In summary, these data show that mTORC1 signaling plays a significant role in the constitution of the surfaceome, which in turn may present novel therapeutic strategies.

The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for de novo biomarker discovery and for biomarker quantification or verification experiments. To achieve this goal, MRM assays were developed for multiplexed concentration measurement of proteins in DBSs.

The lower limit of quantification (LLOQ) was found to have a median total coefficient of variation (CV) of 18% for 245 proteins, whereas the median LLOQ was 5 fmol of peptide injected on column, and the median inter-day CV over 4 days for measuring endogenous protein concentration was 8%. The majority (88%) of the assays displayed parallelism, whereas the peptide standards remained stable throughout the assay workflow and after exposure to multiple freeze-thaw cycles. For 190 proteins, the measured protein concentrations remained stable in DBS stored at ambient laboratory temperature for up to 2 months. Finally, the developed assays were used to measure the concentration ranges for 200 proteins in twenty same sex, same race and age matched individuals.

Lung cancer (LC) remains the leading cause of mortality from malignant tumors worldwide. In our previous study, we surveyed both IgG and IgM-bound serological biomarkers and validated a panel of IgG-bound autoantigens for early LC diagnosis with 50% sensitivity at 90% specificity. To further improve the performance of these serological biomarkers, we surveyed HuProt arrays, comprised of 20,240 human proteins, for IgA-bound autoantigens because IgAs are a major immunoglobulin isotype in the lung. Integrating with IgG-bound autoantigens, we discovered and validated a combined biomarker panel using ELISA-format tests. Specifically, in Phase I, we obtained IgA-based autoimmune profiles of 69 early stage LC patients, 30 healthy subjects and 25 patients with lung benign lesions (LBL) on HuProt arrays and identified 28 proteins as candidate autoantigens that were significantly associated with early stage LC. In Phase II, we re-purified the autoantigens and converted them into an ELISA-format testing to profile an additional large cohort, comprised of 136 early stage LC patients, 58 healthy individuals, and 29 LBL patients. Integration of IgG autoimmune profiles allowed us to identify and validate a biomarker panel of three IgA autoantigens (i.e. BCL7A, and TRIM33 and MTERF4) and three IgG autoantigens (i.e. CTAG1A, DDX4 and MAGEC2) for diagnosis of early stage LC with 73.5% sensitivity at >85% specificity. In Phase III, the performance of this biomarker panel was confirmed with an independent cohort, comprised of 88 early stage LC patients, 18 LBL patients, and 36 healthy subjects. Finally, a blind test on 178 serum samples was conducted to confirm the performance of the biomarker panel. In summary, this study demonstrates for the first time that an integrated panel of IgA/IgG autoantigens can serve as valuable biomarkers to further improve the performance of early diagnosis of LC.

For more than two decades naturally presented, human leukocyte antigen (HLA)-restricted peptides (immunopeptidome) have been eluted and sequenced using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Since, identified disease-associated HLA ligands have been characterized and evaluated as potential active substances. Treatments based on HLA-presented peptides have shown promising results in clinical application as personalized T cell-based immunotherapy. Peptide vaccination cocktails are produced as investigational medicinal products under GMP conditions. To support clinical trials based on HLA-presented tumor-associated antigens, in this study the sensitive LC-MS/MS HLA class I antigen identification pipeline was fully validated for our technical equipment according to the current US Food and Drug Administration (FDA) and European Medicines Agency (EMA) guidelines.

The immunopeptidomes of JY cells with or without spiked-in, isotope labeled peptides, of peripheral blood mononuclear cells of healthy volunteers as well as a chronic lymphocytic leukemia and a bladder cancer sample were reliably identified using a data-dependent acquisition method. As the LC-MS/MS pipeline is used for identification purposes, the validation parameters include accuracy, precision, specificity, limit of detection and robustness.

Anal squamous cell carcinoma is a rare tumor. Chemo-radiotherapy yields a 50% 3-year relapse-free survival rate in advanced anal cancer, so improved predictive markers and therapeutic options are needed. High-throughput proteomics and whole-exome sequencing were performed in 46 paraffin samples from anal squamous cell carcinoma patients. Hierarchical clustering was used to establish groups de novo. Then, probabilistic graphical models were used to study the differences between groups of patients at the biological process level. A molecular classification into two groups of patients was established, one group with increased expression of proteins related to adhesion, T lymphocytes and glycolysis; and the other group with increased expression of proteins related to translation and ribosomes. The functional analysis by the probabilistic graphical model showed that these two groups presented differences in metabolism, mitochondria, translation, splicing and adhesion processes. Additionally, these groups showed different frequencies of genetic variants in some genes, such as ATM, SLFN11 and DST. Finally, genetic and proteomic characteristics of these groups suggested the use of some possible targeted therapies, such as PARP inhibitors or immunotherapy.

Acute myeloid leukemia (AML) is a clonal disorder arising from hematopoietic myeloid progenitors. Aberrantly activated tyrosine kinases (TK) are involved in leukemogenesis and are associated with poor treatment outcome. Kinase inhibitor (KI) treatment has shown promise in improving patient outcome in AML. However, inhibitor selection for patients is suboptimal.

In a preclinical effort to address KI selection, we analyzed a panel of 16 AML cell lines using phosphotyrosine (pY) enrichment-based, label-free phosphoproteomics. The Integrative Inferred Kinase Activity (INKA) algorithm was used to identify hyperphosphorylated, active kinases as candidates for KI treatment, and efficacy of selected KIs was tested.

Heterogeneous signaling was observed with between 241 and 2764 phosphopeptides detected per cell line. Of 4853 identified phosphopeptides with 4229 phosphosites, 4459 phosphopeptides (4430 pY) were linked to 3605 class I sites (3525 pY). INKA analysis in single cell lines successfully pinpointed driver kinases (PDGFRA, JAK2, KIT and FLT3) corresponding with activating mutations present in these cell lines. Furthermore, potential receptor tyrosine kinase (RTK) drivers, undetected by standard molecular analyses, were identified in four cell lines (FGFR1 in KG-1 and KG-1a, PDGFRA in Kasumi-3, and FLT3 in MM6). These cell lines proved highly sensitive to specific KIs. Six AML cell lines without a clear RTK driver showed evidence of MAPK1/3 activation, indicative of the presence of activating upstream RAS mutations. Importantly, FLT3 phosphorylation was demonstrated in two clinical AML samples with a FLT3 internal tandem duplication (ITD) mutation.

Our data show the potential of pY-phosphoproteomics and INKA analysis to provide insight in AML TK signaling and identify hyperactive kinases as potential targets for treatment in AML cell lines. These results warrant future investigation of clinical samples to further our understanding of TK phosphorylation in relation to clinical response in the individual patient.

The redox-based modifications of cysteine residues in proteins regulate their function in many biological processes. The gas molecule H₂S has been shown to persulfidate redox sensitive cysteine residues resulting in an H₂S-modified proteome known as the sulfhydrome. Tandem Mass Tags (TMT) multiplexing strategies for large-scale proteomic analyses have become increasingly prevalent in detecting cysteine modifications. Here we developed a TMT-based proteomics approach for selectively trapping and tagging cysteine persulfides in the cellular proteomes. We revealed the natural protein sulfhydrome of two human cell lines, and identified insulin as a novel substrate in pancreatic beta cells. Moreover, we showed that under oxidative stress conditions, increased H₂S can target enzymes involved in energy metabolism by switching specific cysteine modifications to persulfides. Specifically, we discovered a Redox Thiol Switch, from protein S-glutathioinylation to S-persulfidation (RTS^GS). We propose that the RTS^GS from S-glutathioinylation to S-persulfidation is a potential mechanism to fine tune cellular energy metabolism in response to different levels of oxidative stress.