Advances in PET/CT Imaging for Breast Cancer

Small Animal Positron Emission Tomography Imaging of a Triple-Negative Breast Cancer Model Using the 68Ga-Labeled pH (Low) Insertion Peptide-Like Peptide YJL-11

Objectives: To prepare a novel 68Ga-labeled pH (low) insertion peptide-like peptide, YJL-11, and study its ability to be used as a probe for the diagnosis of triple-negative breast cancer (TNBC) via in vivo imaging of tumor-bearing nude mice. Methods: Circular dichroism (CD) analysis of YJL-11 was performed to assess its secondary structure. YJL-11 was labeled with 68Ga, and the in vivo biodistribution of 68Ga-YJL-11 in MDA-MB-231 xenograft mice was evaluated. This probe was then applied for small animal positron emission tomography (PET) imaging of tumor-bearing nude mice. Results: CD analysis of YJL-11 confirmed a typical pH-dependent transition in its secondary structure. The radiochemical yield of 68Ga-YJL-11 was 75.5 ± 0.25%, and the radiochemical purity was 95.75 ± 0.15%. Biodistribution studies showed that the tumor uptake of 68Ga-YJL-11 was significantly higher than in the control group, 1 and 2 h after injection. Small animal PET imaging results were consistent with the biodistribution data, showing clear images of the tumors and livers 1 and 2 h after injection of 68Ga-YJL-11, whereas tumors were not detected in the control group. Conclusion: 68Ga-YJL-11 was prepared with high radiochemical yield and can target TNBC tissues, indicating that it has great potential in the diagnosis of TNBC.

Novel PET tracers in breast cancer for treatment optimization: clinical utility and future perspectives

PURPOSE OF REVIEW

There is a critical need for timely and accurate decisions in breast cancer management. This narrative review aims to clarify the potential role of novel PET tracers in optimizing treatment strategies for different breast cancer subtypes.

RECENT FINDINGS

2-deoxy-2-[18F]-fluoro-D-glucose PET/computed tomography (FDG PET/CT) has a pivotal role in response assessment in metastatic breast cancer, despite its limitations in certain histological and molecular subtypes. Further PET radiopharmaceuticals have been proposed to address these clinical needing.

SUMMARY

FES PET/CT demonstrates its usefulness in assessing ER expression and predicting response to therapy in luminal breast cancer, with implications for treatment optimization and monitoring. In HER2-positive and HER2-low breast cancer, HER2-targeted PET tracers show potential in assessing HER2 status, while their accuracy in predicting response to targeted therapies is still debated. PARP-targeted PET imaging holds potential for selecting patients for PARP inhibitors treatments, particularly in triple-negative breast cancer (TNBC), where imaging tools are crucial due to the absence of specific targets. Immunotherapy and antibody-drug conjugates (ADCs) are emerging treatment options for TNBC, and PET imaging targeting immune checkpoints could aid in treatment selection and response monitoring. The dynamic role of PET/CT imaging in tailoring breast cancer treatments requires further multidisciplinary research to validate the clinical utility of targeted tracers.

Label-free fluorescent biosensor based on AuNPs etching releasing signal for miRNA-155 detection

Quantitative microRNA (miRNA) detection is crucial for early breast cancer diagnosis and prognosis. However, quick and stable fluorescence sensing for miRNA identification is still challenging. This work developed a novel label-free detection method based on AuNPs etching for quantitatively detecting miRNA-155. A layer of AuNPs was grown on the surface of mesoporous silica nanoparticles (MSN) loaded with Rhodamine 6G (R6G) using seed-mediated growth, followed by probe attachment. In the presence of miRNA-155, the MSN@R6G@AuNP surface loses the protection of the attached probe, rendering AuNPs susceptible to etching by hydrochloric acid. This results in a significant fluorescent signal being released in the free space. The encapsulation with AuNPs effectively reduces signal leakage, while the rapid etching process shortens detection time. This strategy enables sensitive and fast detection with a detection range of 100 fM to 100 nM, a detection limit of 2.18 fM, and a detection time of 30 min. The recovery rate in normal human serum ranges from 99.02 % to 106.34 %. This work presents a simple biosensing strategy with significant potential for application in tumor diagnosis.

Unveiling innovative therapeutic strategies and future trajectories on stimuli-responsive drug delivery systems for targeted treatment of breast carcinoma

This comprehensive review delineates the latest advancements in stimuli-responsive drug delivery systems engineered for the targeted treatment of breast carcinoma. The manuscript commences by introducing mammary carcinoma and the current therapeutic methodologies, underscoring the urgency for innovative therapeutic strategies. Subsequently, it elucidates the logic behind the employment of stimuli-responsive drug delivery systems, which promise targeted drug administration and the minimization of adverse reactions. The review proffers an in-depth analysis of diverse types of stimuli-responsive systems, including thermoresponsive, pH-responsive, and enzyme-responsive nanocarriers. The paramount importance of material choice, biocompatibility, and drug loading strategies in the design of these systems is accentuated. The review explores characterization methodologies for stimuli-responsive nanocarriers and probes preclinical evaluations of their efficacy, toxicity, pharmacokinetics, and biodistribution in mammary carcinoma models. Clinical applications of stimuli-responsive systems, ongoing clinical trials, the potential of combination therapies, and the utility of multifunctional nanocarriers for the co-delivery of assorted drugs and therapies are also discussed. The manuscript addresses the persistent challenge of drug resistance in mammary carcinoma and the potential of stimuli-responsive systems in surmounting it. Regulatory and safety considerations, including FDA guidelines and biocompatibility assessments, are outlined. The review concludes by spotlighting future trajectories and emergent technologies in stimuli-responsive drug delivery, focusing on pioneering approaches, advancements in nanotechnology, and personalized medicine considerations. This review aims to serve as a valuable compendium for researchers and clinicians interested in the development of efficacious and safe stimuli-responsive drug delivery systems for the treatment of breast carcinoma.

Small animal PET imaging with the 68Ga-labeled pH (low) insertion peptide-like peptide YJL-4 in a triple-negative breast cancer mouse model

BACKGROUND

The aim of this study was to prepare a novel 68Ga-labeled pH (low) insertion peptide (pHLIP)-like peptide, YJL-4, and determine its value for the early diagnosis of triple-negative breast cancer (TNBC) via in vivo imaging of tumor-bearing nude mice. The novel peptide YJL-4 was designed using a template-assisted method and synthesized by solid-phase peptide synthesis. After modification with the chelator 1,4,7‑triazacyclononane-N,N',N″-triacetic acid (NOTA), the peptide was labeled with 68Ga. Then, the biodistribution of 68Ga-YJL-4 in tumor-bearing nude mice was investigated, and the mice were imaged by small animal positron emission tomography (PET).

RESULTS

The radiochemical yield and radiochemical purity of 68Ga-YJL-4 were 89.5 ± 0.16% and 97.95 ± 0.06%, respectively. The biodistribution of 68Ga-YJL-4 in tumors (5.94 ± 1.27% ID/g, 6.72 ± 1.69% ID/g and 4.54 ± 0.58% ID/g at 1, 2 and 4 h after injection, respectively) was significantly greater than that of the control peptide in tumors at the corresponding time points (P < 0.01). Of the measured off-target organs, 68Ga-YJL-4 was highly distributed in the liver and blood. The small animal PET imaging results were consistent with the biodistribution results. The tumors were visualized by PET at 2 and 4 h after the injection of 68Ga-YJL-4. No tumors were observed in the control group.

CONCLUSIONS

The novel pHLIP family peptide YJL-4 can adopt an α-helical structure for easy insertion into the cell membrane in an acidic environment. 68Ga-YJL-4 was produced in high radiochemical yield with good stability and can target TNBC tissue. Moreover, the strong concentration of radioactive 68Ga-YJL-4 in the abdomen does not hinder the imaging of early TNBC.

Head-to-Head Comparison of [18F]PSMA-1007 and [18F]FDG PET/CT in Patients with Triple-Negative Breast Cancer

BACKGROUND

Triple-negative breast cancer (TNBC) exhibits high aggressiveness and a notably poorer prognosis at advanced stages. Nuclear medicine offers new possibilities, not only for diagnosis but also potentially promising therapeutic strategies. This prospective study explores the potential of prostate-specific membrane antigen (PSMA) as a diagnostic and therapeutic target in TNBC.

METHODS

the research investigates PSMA expression in vivo among TNBC patients using [18F]PSMA-1007 PET/CT and compares it head-to-head with the standard-of-care [18F]FDG PET/CT.

RESULTS

The study involves 10 TNBC patients, revealing comparable uptake of [18F]PSMA-1007 and [18F]FDG in primary and metastatic lesions. Nodal metastases were found in eight patients, showing similar SUVmax values in both modalities. Two patients had uncountable lung metastases positive in both [18F]FDG and [18F]PSMA-1007 scans. PET-positive bone metastases were identified by 18F-PSMA in four patients, while elevated [18F]FDG uptake was found only in three of them. Distant metastases displayed higher SUVmax values in the [18F]PSMA-1007 PET/CT, as compared to [18F]FDG. Additionally, brain metastases were exclusively detected using [18F]PSMA-1007.

CONCLUSIONS

the findings provide valuable insights into the expression of PSMA in TNBC and underscore the potential clinical significance of [18F]PSMA-1007 PET/CT in enhancing both diagnostic and therapeutic approaches for this aggressive breast cancer subtype.

An Innovative Non-Linear Prediction Model for Clinical Benefit in Women with Newly Diagnosed Breast Cancer Using Baseline FDG-PET/CT and Clinical Data

Objectives: We aimed to develop a novel non-linear statistical model integrating primary tumor features on baseline [18F]-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT), molecular subtype, and clinical data for treatment benefit prediction in women with newly diagnosed breast cancer using innovative statistical techniques, as opposed to conventional methodological approaches. Methods: In this single-center retrospective study, we conducted a comprehensive assessment of women newly diagnosed with breast cancer who had undergone a FDG-PET/CT scan for staging prior to treatment. Primary tumor (PT) volume, maximum and mean standardized uptake value (SUVmax and SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured on PET/CT. Clinical data including clinical staging (TNM) but also PT anatomical site, histology, receptor status, proliferation index, and molecular subtype were obtained from the medical records. Overall survival (OS), progression-free survival (PFS), and clinical benefit (CB) were assessed as endpoints. A logistic generalized additive model was chosen as the statistical approach to assess the impact of all listed variables on CB. Results: 70 women with newly diagnosed breast cancer (mean age 63.3 ± 15.4 years) were included. The most common location of breast cancer was the upper outer quadrant (40.0%) in the left breast (52.9%). An invasive ductal adenocarcinoma (88.6%) with a high tumor proliferation index (mean ki-67 expression 35.1 ± 24.5%) and molecular subtype B (51.4%) was by far the most detected breast tumor. Most PTs displayed on hybrid imaging a greater volume (12.8 ± 30.4 cm3) with hypermetabolism (mean ± SD of PT maximum SUVmax, SUVmean, MTV, and TLG, respectively: 8.1 ± 7.2, 4.9 ± 4.4, 12.7 ± 30.4, and 47.4 ± 80.2). Higher PT volume (p < 0.01), SUVmax (p = 0.04), SUVmean (p = 0.03), and MTV (<0.01) significantly compromised CB. A considerable majority of patients survived throughout this period (92.8%), while five women died (7.2%). In fact, the OS was 31.7 ± 14.2 months and PFS was 30.2 ± 14.1 months. A multivariate prediction model for CB with excellent accuracy could be developed using age, body mass index (BMI), T, M, PT TLG, and PT volume as predictive parameters. PT volume and PT TLG demonstrated a significant influence on CB in lower ranges; however, beyond a specific cutoff value (respectively, 29.52 cm3 for PT volume and 161.95 cm3 for PT TLG), their impact on CB only reached negligible levels. Ultimately, the absence of distant metastasis M displayed a strong positive impact on CB far ahead of the tumor size T (standardized average estimate 0.88 vs. 0.4). Conclusions: Our results emphasized the pivotal role played by FDG-PET/CT prior to treatment in forecasting treatment outcomes in women newly diagnosed with breast cancer. Nevertheless, careful consideration is required when selecting the methodological approach, as our innovative statistical techniques unveiled non-linear influences of predictive biomarkers on treatment benefit, highlighting also the importance of early breast cancer diagnosis.