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Table S1. Clinical and demographic characteristics of recruited cancer patients; Table S2. Demographic characteristics of recruited healthy donors; Figure S1. Reproducibility confirmation of CapioCyte-D by testing duplicated blood samples from three cancer patients (A-C) using separately prepared capture surfaces (slides 1 and 2); Figure S2. A comparison of the captured epithelial cell number from two healthy donor groups with different age ranges (under 35 years vs. above 50 years).

Liver metastasis is a leading cause of cancer morbidity and mortality. Thus, there has been strong interest in the development of therapeutics that can effectively prevent liver metastasis. One potential strategy is to utilize molecules that have broad effects on the liver microenvironment, such as miR-122, a liver-specific miRNA that is a key regulator of diverse hepatic functions. Here we report the development of a nanoformulation miR-122 as a therapeutic agent for preventing liver metastasis. We engineered a galactose-targeted lipid calcium phosphate (Gal-LCP) nanoformulation of miR-122. This nanotherapeutic elicited no significant toxicity and delivered miR-122 into hepatocytes with specificity and high efficiency. Across multiple colorectal cancer liver metastasis models, treatment with Gal-LCP miR-122 treatment effectively prevented colorectal cancer liver metastasis and prolonged survival. Mechanistic studies revealed that delivery of miR-122 was associated with downregulation of key genes involved in metastatic and cancer inflammation pathways, including several proinflammatory factors, matrix metalloproteinases, and other extracellular matrix degradation enzymes. Moreover, Gal-LCP miR-122 treatment was associated with an increased CD8+/CD4+ T-cell ratio and decreased immunosuppressive cell infiltration, which makes the liver more conducive to antitumor immune response. Collectively, this work presents a strategy to improve cancer prevention and treatment with nanomedicine-based delivery of miRNA.Significance:Highly specific and efficient delivery of miRNA to hepatocytes using nanomedicine has therapeutic potential for the prevention and treatment of colorectal cancer liver metastasis.

There is a linear relationship between the number of HT-29-Luc2 cells and the luminescence intensity.

Novel agents are needed to improve chemoradiotherapy for locally advanced rectal cancer. In this study, we assessed the ability of CRLX101, an investigational nanoparticle–drug conjugate containing the payload camptothecin (CPT), to improve therapeutic responses as compared with standard chemotherapy. CRLX101 was evaluated as a radiosensitizer in colorectal cancer cell lines and murine xenograft models. CRLX101 was as potent as CPT in vitro in its ability to radiosensitize cancer cells. Evaluations in vivo demonstrated that the addition of CRLX101 to standard chemoradiotherapy significantly increased therapeutic efficacy by inhibiting DNA repair and HIF1α pathway activation in tumor cells. Notably, CRLX101 was more effective than oxaliplatin at enhancing the efficacy of chemoradiotherapy, with CRLX101 and 5-fluorouracil producing the highest therapeutic efficacy. Gastrointestinal toxicity was also significantly lower for CRLX101 compared with CPT when combined with radiotherapy. Our results offer a preclinical proof of concept for CRLX101 as a modality to improve the outcome of neoadjuvant chemoradiotherapy for rectal cancer treatment, in support of ongoing clinical evaluation of this agent (LCC1315 NCT02010567). Cancer Res; 77(1); 112–22. ©2016 AACR.

Type 1 diabetes mellitus (T1DM) is an autoimmune disease caused by autoreactive T cells targeting the insulin-producing beta (β) cells. Despite advances in insulin therapy, T1DM still leads to high...

Abiraterone acetate (AA) has been proven effective for metastatic castration-resistant prostate cancer (mCRPC), and it has been proposed that adaptive AA may reduce toxicity and prolong time to progression, when compared to continuous AA. We developed a simple quantitative model of prostate-specific antigen (PSA) dynamics to evaluate prostate cancer (PCa) stem cell enrichment as a plausible driver of AA treatment resistance. The model incorporated PCa stem cells, non-stem PCa cells and PSA dynamics during adaptive therapy. A leave-one-out analysis was used to calibrate and validate the model against longitudinal PSA data from 16 mCRPC patients receiving adaptive AA in a pilot clinical study. Early PSA treatment response dynamics were used to predict patient response to subsequent treatment. We extended the model to incorporate metastatic burden and also investigated the survival benefit of adding concurrent chemotherapy for patients predicted to become resistant. Model simulations demonstrated PCa stem cell self-renewal as a plausible driver of resistance to adaptive therapy. Evolutionary dynamics from individual treatment cycles combined with metastatic burden measurements predicted patient response with 81% accuracy (specificity=92%, sensitivity=50%). In those patients predicted to progress, simulations of the addition of concurrent chemotherapy suggest a benefit between 1% and 11% reduction in probability of progression when compared to adaptive AA alone. This study developed the first mCRPC patient-specific mathematical model to use early PSA treatment response dynamics to predict subsequent responses to adaptive AA, demonstrating the putative value of integrating mathematical modeling into clinical decision making.

In modern trials, traditional planning target volume (PTV) margins for postoperative prostate radiation therapy have been large (7-10 mm) to account for both daily changes in patient positioning and target deformation. With daily adaptive radiation therapy, these interfractional changes could be minimized, potentially reducing the margins required for treatment and improving adjacent normal-tissue dosimetry.A single-center retrospective study was conducted from March 2021 to November 2021. Patients receiving conventionally fractionated postoperative radiation therapy (PORT) for prostate cancer with pretreatment and posttreatment cone beam computed tomography (CBCT) imaging (pre-CBCT and post-CBCT, respectively) were included (248 paired images). Pretreatment and posttreatment clinical target volumes (pre-CTVs and post-CTVs) were contoured by a single observer on all CBCTs and verified by a second observer. Motion was calculated from pre-CTV to that of the post-CTV, and predicted margins were calculated with van Herk's formula. Adequate coverage of the proposed planning target volume (PTV) margin expansions (pre-PTV) were verified by determining overlap with post-CTV. In a smaller cohort (25 paired images), dosimetric changes with the proposed online adaptive margins were compared with conventional plans in the Ethos emulator environment.The estimated margins predicted to achieve ≥95% CTV coverage for 90% of the population were 1.6 mm, 2.0 mm, and 2.2 mm (x-, y-, and z -xes, respectively), with 95% of the absolute region of interest displacement being within 1.9 mm, 2.8 mm, and 2.1 mm. After symmetrically expanding all pre-CTVs by 3 mm, the percentage of paired images achieving ≥95% CTV coverage was 97.1%. When comparing adaptive plans (3-mm margins) with scheduled plans (7-mm margins), rectum dosimetry significantly improved, with an average relative reduction in V40Gy[cc] of 59.2% and V65Gy[cc] of 79.5% (where V40Gy and V65Gy are defined as the volumes receiving 40 Gy and 65 Gy or higher dose, respectively).Online daily adaptive radiation therapy could significantly decrease PTV margins for prostatic PORT and improve rectal dosimetry, with a symmetrical expansion of 3 mm achieving excellent coverage in this cohort. These results need to be validated in a larger prospective cohort.

Radiopharmaceutical therapy or targeted radionuclide therapy (TRT) is a well-established class of cancer therapeutics that includes a growing number of FDA-approved drugs and a promising pipeline of experimental therapeutics. Radiobiology is fundamental to a mechanistic understanding of the therapeutic capacity of these agents and their potential toxicities. However, the field of radiobiology has historically focused on external beam radiation. Critical differences exist between TRT and external beam radiotherapy with respect to dosimetry, dose rate, linear energy transfer, duration of treatment delivery, fractionation, range, and target volume. These distinctions simultaneously make it difficult to extrapolate from the radiobiology of external beam radiation to that of TRT and pose considerable challenges for preclinical and clinical studies investigating TRT. Here, we discuss these challenges and explore the current understanding of the radiobiology of radiopharmaceuticals.

[Image: see text] Radiotherapy and immunotherapy are two key treatments for cancer. There is growing evidence that they are also synergistic, and combination treatments are being studied extensively in the clinical setting. In addition, there is emerging evidence that nanotechnology-enabled therapeutics can potentiate both radiotherapy and immunotherapy, in turn improving both treatments. This is an exciting new area of interdisciplinary science and has significant potential for major clinical impact. Some of the approaches in this area have already reached the clinical stage. In this review, we will discuss recent advances in the interface between radiotherapy, immunotherapy, and nanomedicine. We plan to review the many approaches to combine these three fields for cancer treatment.

Surgery is an important treatment for cancer; however, local recurrence following macroscopically-complete resection is common and a significant cause of morbidity and mortality. Systemic chemotherapy is often employed as an adjuvant therapy to prevent recurrence of residual disease, but has limited efficacy due to poor penetration and dose-limiting off-target toxicities. Selective delivery of chemotherapeutics to the surgical bed may eliminate residual tumor cells while avoiding systemic toxicity. While this is challenging for traditional drug delivery technologies, we utilized advances in 3D printing and drug delivery science to engineer a drug-loaded arrowhead array device (AAD) to overcome these challenges. We demonstrated that such a device can be designed, fabricated, and implanted intraoperatively and provide extended release of chemotherapeutics directly to the resection area. Using paclitaxel and cisplatin as model drugs and murine models of cancer, we showed AADs significantly decreased local recurrence post-surgery and improved survival. We further demonstrated the potential for fabricating personalized AADs for intraoperative application in the clinical setting.

Brachytherapy, which is the placement of radioactive seeds directly into tissue such as the prostate, is an important curative treatment for prostate cancer. By delivering a high dose of radiation from within the prostate gland, brachytherapy is an effective method of killing prostate cancer cells while limiting radiation dose to normal tissue. The main shortcomings of this treatment are: less efficacy against high grade tumor cells, acute urinary retention, and sub-acute urinary frequency and urgency. One strategy to improve brachytherapy is to incorporate therapeutics into brachytherapy. Drugs, such as docetaxel, can improve therapeutic efficacy, and dexamethasone is known to decrease urinary side effects. However, both therapeutics have high systemic side effects. To overcome this challenge, we hypothesized that we can incorporate therapeutics into the inert polymer spacers that are used to correctly space brachytherapy seeds during brachytherapy to enable local drug delivery. To accomplish this, we engineered 3D printed drug-loaded brachytherapy spacers using continuous liquid interface production (CLIP) with different surface patterns to control drug release. These devices have the same physical size as existing spacers, allowing them to easily replace commercial spacers. We examined these drug-loaded spacers using docetaxel and dexamethasone as model drugs in a murine model of prostate cancer. We found that drug-loaded spacers led to higher therapeutic efficacy for brachytherapy, and there was no discernable systemic toxicity from the drug-loaded spacers. STATEMENT OF SIGNIFICANCE: There has been high interest in the application of 3D printing to engineer novel medical devices. However, such efforts have been limited by the lack of technologies that can fabricate devices suitable for real world medical applications. In this study, we demonstrate a unique application for 3D printing to enhance brachytherapy for cancer treatment. We engineered drug-loaded brachytherapy spacers that can be fabricated using Continuous Liquid Interface Production (CLIP) 3D printing, allowing tunable printing of drug-loaded devices, and implanted intraoperatively with brachytherapy seeds. In combined chemotherapy and brachytherapy we are able to achieve greater therapeutic efficacy through local drug delivery and without systemic toxicities. We believe our work will facilitate further investigation in medical applications of 3D printing.

Immunotherapy is a promising treatment for cancer nowadays, which induces a long-lasting response in contrast to chemotherapy and radiotherapy. The immunotherapies, mainly including immune checkpoint blockade therapy, adoptive cell therapy, and therapeutic cancer vaccines, have yielded remarkable clinical outcomes in cancer patients. However, most of the patients did not benefit from immunotherapy due to primary resistance and only a small part of initial responders developed acquired resistance that relapsed after a period of treatment. Improving the efficacy of immunotherapy is necessary to understand the mechanisms of immunotherapy resistance, namely primary resistance and acquire resistance, and then develop combination therapies through various delivery strategies to overcome immunotherapy resistance. In this chapter, we review different types of cancer immunotherapy, elaborate the predominant mechanisms of immunotherapy resistance and describe several delivery strategies at the proof-of-concept or clinical trial phase that can overcome tumor immunotherapy resistance.

We analyzed 25 patients receiving whole brain radiation (WBRT) for secondary CNS lymphoma (SCNSL), grouped by consolidative intent (after complete/partial response, n = 13) vs. palliative intent (i...

Acute urinary toxicity is well-documented in individuals receiving post-prostatectomy radiation. However, dosimetric correlations between bladder dose and acute urinary symptoms in the post-prostatectomy setting have not been well-studied. We examined the relationship between bladder dosimetry and acute changes in individual urinary symptoms among men receiving post-prostatectomy radiation therapy. Patient-reported urinary symptoms were prospectively collected for 90 consecutive prostate cancer patients receiving post-prostatectomy radiation using the validated quality of life instrument Prostate Cancer Symptom Indices. Data were collected prior to treatment and weekly during treatment. Individual symptom scores were examined and a change in severity of an individual symptom (from baseline) of ≥ 2 points was considered clinically significant. DVHs were generated for all the patients. Receiver operating characteristic curves were generated to evaluate the ability of different dose-volume metrics to identify patients who developed individual urinary symptoms during radiation treatment from those who did not. Logistic regression was used to examine the relationship between dose-volume parameters and worsening of individual urinary symptoms. Worsening of individual urinary symptoms during radiation treatment was reported by 7% (urinary flow) to 29% (urgency) of patients. The relative bladder volume receiving moderate doses of radiation was associated with urgency (AUC 0.67 for V30 Gy). Dose-volume parameters were not significantly associated with flow, frequency, nocturia, or dysuria. There is an acute worsening of urinary symptoms among men receiving modern post-prostatectomy radiation. Worsening of urgency is associated with bladder dosimetry while flow, frequency, nocturia, and dysuria are not. This data can be used during treatment planning to reduce acute urinary toxicity during post-prostatectomy radiation.

Cancer immunotherapy has received extensive attention due to its ability to activate the innate or adaptive immune systems of patients to combat tumors. Despite a few clinical successes, further endeavors are still needed to tackle unresolved issues, including limited response rates, development of resistance, and immune-related toxicities. Accumulating evidence has pinpointed the tumor microenvironment (TME) as one of the major obstacles in cancer immunotherapy due to its detrimental impacts on tumor-infiltrating immune cells. Nanomedicine has been battling with the TME in the past several decades, and the experience obtained could be exploited to improve current paradigms of immunotherapy. Here, we discuss the metabolic features of the TME and its influence on different types of immune cells. The recent progress in nanoenabled cancer immunotherapy has been summarized with a highlight on the modulation of immune cells, tumor stroma, cytokines and enzymes to reverse the immunosuppressive TME.

Nanotechnology has made remarkable contributions to clinical oncology. Nanotherapeutics and diagnostic tools have distinctive characteristics which allow them superior abilities to deliver therapeutics and imaging agents for radiation oncology. Compared to solid biopsies and imaging, the analysis of circulating tumor cells (CTCs) offers a more rapid, real-time, and less invasive method to monitor the dynamic molecular profiles of tumors. The potential of CTCs to be translated as a novel cancer biomarker has been demonstrated in numerous clinical studies. This review will discuss clinical applications of nanomaterials in radiation oncology and the implication of CTCs in cancer detection and monitoring.

Radiotherapy is often used to improve cancer immunotherapy outcomes. While there are both pre-clinical and clinical data supporting this approach, there are also significant challenges. One key challenge is that not all patients have tumors that can be easily treated with radiotherapy due to potential normal tissue toxicity and prior treatment. In addition, it is difficult to control the tumor microenvironment to promote the immune response after radiosurgery. To overcome these challenges, we hypothesize that we can engineer cancer metastasis and utilize irradiated engineered tumor cells as a personalized cancer vaccine to improve cancer immunotherapy. Herein, we report the development of engineered lung metastasis using decellularized rat lung tissue. Using the B16F10 melanoma tumor model, we showed that radiotherapy-treated engineered metastases are highly effective in improving cancer immunotherapy responses and more effective than in vivo metastasis. Our work has demonstrated the potential of applying tissue engineering to cancer immunotherapy. STATEMENT OF SIGNIFICANCE: Combination of radiation and immunotherapy are an effective way to treat metastasis. Despite their success, long term response still remains low. Tumor microenvironment evading the immune response, normal tissue toxicity to radiation and inaccessibility to radiosurgery are some of the limitations. To overcome these challenges, in this paper we present with data supporting the use of high dose radiation treated ex vivo engineered B16F10 metastasis model using decellularized lung scaffolds. These engineered metastases closely mimic the in vivo tumors and when given into tumor bearing mice along with check point inhibitors are highly effective in improving the cancer immunotherapy response.

Despite its high potential, PD-L1 expressed by tumors has not been successfully utilized as a biomarker for estimating treatment responses to immunotherapy. Circulating tumor cells (CTCs) and tumor-derived exosomes that express PD-L1 can potentially be used as biomarkers; however, currently available assays lack clinically significant sensitivity and specificity. Here, a novel peptide-based capture surface is developed to effectively isolate PD-L1-expressing CTCs and exosomes from human blood. For the effective targeting of PD-L1, this study integrates peptide engineering strategies to enhance the binding strength and specificity of a β-hairpin peptide derived from PD-1 (pPD-1). Specifically, this study examines the effect of poly(ethylene glycol) spacers, the secondary peptide structure, and modification of peptide sequences (e.g., removal of biologically redundant amino acid residues) on capture efficiency. The optimized pPD-1 configuration captures PD-L1-expressing tumor cells and tumor-derived exosomes with 1.5-fold (p = 0.016) and 1.2-fold (p = 0.037) higher efficiencies, respectively, than their whole antibody counterpart (aPD-L1). This enhanced efficiency is translated into more clinically significant detection of CTCs (1.9-fold increase; p = 0.035) and exosomes (1.5-fold increase; p = 0.047) from patients' baseline samples, demonstrating stronger correlation with patients' treatment responses. Additionally, we confirmed that the clinical accuracy of our system can be further improved by co-analyzing the two biomarkers (bimodal CTC/exosome analysis). These data demonstrate that pPD-1-based capture is a promising approach for capturing PD-L1-expressing CTCs and exosomes, which can be used as a reliable biomarker for cancer immunotherapy.

Human papillomavirus (HPV) causes the majority of oropharyngeal, cervical, and anal cancers, among others. These HPV-associated cancers cause substantial morbidity and mortality despite ongoing vaccination efforts. Aside from the earliest stage tumors, chemoradiation is used to treat most HPV-associated cancers across disease sites. Response rates are variable, and opportunities to improve oncologic control and reduce toxicity remain. HPV malignancies share multiple commonalities in oncogenesis and tumor biology that may inform personalized methods of screening, diagnosis, treatment and surveillance. In this review we discuss the current literature and identify promising molecular targets, prognostic and predictive clinical factors and biomarkers in HPV-associated oropharyngeal, cervical and anal cancer.

Segmentation of the prostate bed, the residual tissue after the removal of the prostate gland, is an essential prerequisite for post-prostatectomy radiotherapy but also a challenging task due to its non-contrast boundaries and highly variable shapes relying on neighboring organs. In this work, we propose a novel deep learning-based method to automatically segment this “invisible target”. As the main idea of our design, we expect to get reference from the surrounding normal structures (bladder&rectum) and take advantage of this information to facilitate the prostate bed segmentation. To achieve this goal, we first use a U-Net as the backbone network to perform the bladder&rectum segmentation, which serves as a low-level task that can provide references to the high-level task of the prostate bed segmentation. Based on the backbone network, we build a novel attention network with a series of cascaded attention modules to further extract discriminative features for the high-level prostate bed segmentation task. Since the attention network has one-sided dependency on the backbone network, simulating the clinical workflow to use normal structures to guide the segmentation of radiotherapy target, we name the final composition model asymmetrical multi-task attention U-Net. Extensive experiments on a clinical dataset consisting of 186 CT images demonstrate the effectiveness of this new design and the superior performance of the model in comparison to the conventional atlas-based methods for prostate bed segmentation. The source code is publicly available at https://github.com/superxuang/amta-net.

CRLX101 is a nanoparticle-drug conjugate with a camptothecin payload. We assessed the toxicity and pathologic complete response (pCR) rate of CRLX101 with standard neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer. A single-arm study was conducted with a 3 + 3 dose escalation phase Ib followed by phase II at the maximum tolerated dose (MTD). Thirty-two patients were enrolled with 29 (91%) patients having T3/4 and 26 (81%) N1/2 disease. In phase Ib, no patient experienced a dose limiting toxicity (DLT) with every other week dosing, while 1/9 patients experienced a DLT with weekly dosing. The weekly MTD was identified as 15 mg/m2. The most common grade 3-4 toxicity was lymphopenia, with only 1 grade 4 event. pCR was achieved in 6/32 (19%) patients overall and 2/6 (33%) patients at the weekly MTD. CRLX101 at 15 mg/m2 weekly with neoadjuvant CRT is a feasible combination strategy with an excellent toxicity profile. Clinicaltrials.gov registration NCT02010567.