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Significance: Terahertz (THz) radiation has demonstrated a great potential in biomedical applications over the past three decades, mainly due to its non-invasive and label-free nature. Among all biological specimens, skin tissue is an optimal sample for the application of THz-based methods because it allows for overcoming some intrinsic limitations of the technique, such as a small penetration depth (0.1 to 0.3 mm for the skin, on average). Aim: We summarize the modern research results achieved when THz technology was applied to the skin, considering applications in both imaging/detection and treatment/modulation of the skin constituents. Approach: We perform a review of literature and analyze the recent research achievements in THz applications for skin diagnosis and investigation. Results: The reviewed results demonstrate the possibilities of THz spectroscopy and imaging, both pulsed and continuous, for diagnosis of skin melanoma and non-melanoma cancer, dysplasia, scars, and diabetic condition, mainly based on the analysis of THz optical properties. The possibility of modulating cell activity and treatment of various diseases by THz-wave exposure is shown as well. Conclusions: The rapid development of THz technologies and the obtained research results for skin tissue highlight the potential of THz waves as a research and therapeutic instrument. The perspectives on the use of THz radiation are related to both non-invasive diagnostics and stimulation and control of different processes in a living skin tissue for regeneration and cancer treatment.

Many studies have shown that urokinase plasminogen activator (uPA) is causally involved in promoting cancer invasion and metastasis. Thus, monitoring uPA levels could be very useful in cancer diagnosis, identification of initial metastasis, and guiding cancer treatment. Here, the authors developed a novel and scalable uPA sensor based on a graphene-gold nanoparticle platform that uses fluorescence of quantum dots to rapidly (

Next-generation sequencing has produced a large quantity of DNA or RNA sequences related to the processes occurring within tumors and their microenvironment in a reasonable time and cost. These data have been used to guide the identification of neoantigens and to determine their specific T-cell receptors. Furthermore, adoptive T-cell therapy targeting neoantigens is under development for cancer treatment. In this review, we first provide an overview of sequencing technologies and the updated findings concerning neoantigens related to adoptive T-cell therapy and then summarize the methods and principles underlying the development of next-generation sequencing-based neoantigen-reactive T-cell therapy for cancer.

Solid tumors are typically supplied nutrients by a network of irregular blood vessels. By targeting these vascular networks, it might be possible to hinder cancer growth and metastasis. Vascular disrupting agents induce intertumoral hemorrhaging, making photoacoustic (PA) imaging well positioned to detect bleeding due to its sensitivity to hemoglobin and its various states. We introduce a fractal-based numerical model of intertumoral hemorrhaging to simulate the PA signals from disrupted tumor blood vessels. The fractal model uses bifurcated cylinders to represent vascular trees. To mimic bleeding from blood vessels, hemoglobin diffusion from microvessels was simulated. In the simulations, the PA signals were detected by a linear array transducer (30 MHz center frequency) of four different vascular trees. The power spectrum of each beamformed PA signal was computed and fitted to a straight line within the −6-dB bandwidth of the receiving transducer. The spectral slope and midband fit (MBF) based on the fit decreased by 0.11 dB / MHz and 2.12 dB, respectively, 1 h post bleeding, while the y-intercept increased by 1.21 dB. The results suggest that spectral PA analysis can be used to measure changes in the concentration and spatial distribution of hemoglobin in tissue without the need to resolve individual vessels. The simulations support the feasibility of using PA imaging and spectral analysis in cancer treatment monitoring by detecting microvessel disruption.

Objective The aim of the study was to investigate the feasibility and preliminary efficacy of an Internet‐based guided self‐help intervention for posttraumatic stress symptoms (PTSS) and related symptoms in parents of children on cancer treatment. Methods Parents of children on cancer treatment, who fulfilled the modified symptom criteria on the PTSD Checklist, were randomly allocated to the intervention or to a wait‐list control condition. The intervention group accessed a 10‐week guided self‐help program via the Internet based on principles from cognitve behavior therapy. The primary outcome PTSS and the secondary outcomes depression and anxiety were assessed by self‐report preintervention and postintervention. Results Seven hundred forty‐seven parents were approached and informed about the study, 92 were assessed for eligibility, and 58 were included and randomized to the intervention (n = 31) or wait list (n = 27). Eightteen participants completed the intervention. Intention‐to‐treat analyses indicated a significant effect of the intervention on PTSS with a large between‐group effect size at postassessment (Cohen's d = 0.88). The intervention group reported reductions in PTSS with a large within‐group effect size (d = 1.62) compared with a minimal reduction in the wait‐list group (d = 0.09). There was a significant intervention effect on depression and anxiety and reductions in the intervention group with large within‐group effect sizes (d = 0.85–1.09). Conclusions Findings indicate a low enrollment rate and considerable attrition but also that Internet‐based guided self‐help shows promise for parents of children on cancer treatment who report a high level of PTSS and would like to take part in an Internet‐based intervention. © 2015 The Authors. Psycho‐Oncology published by John Wiley & Sons, Ltd.