PD-L1 and IFN-γ modulate Non-Small Cell Lung Cancer (NSCLC) cell plasticity associated to immune checkpoint inhibitor (ICI)-mediated hyperprogressive disease (HPD).

Background: Non-Small Cell Lung Cancer (NSCLC) is the leading cause of cancer death worldwide. Although immune checkpoint inhibitors (ICIs) have shown remarkable clinical efficacy, they can also induce a paradoxical cancer acceleration, known as hyperprogressive disease (HPD), whose causative mechanisms are still unclear.

Methods: This study investigated the mechanisms of ICI resistance in an HPD-NSCLC model.

STK11 mutations correlate with poor prognosis for advanced NSCLC treated with first-line immunotherapy or chemo-immunotherapy according to KRAS, TP53, KEAP1, and SMARCA4 status.

Background: The upfront treatment of non-oncogene-addicted NSCLC relies on immunotherapy alone (ICI) or in combination with chemotherapy (CT-ICI). Genomic aberrations such as KRAS, TP53, KEAP1, SMARCA4, or STK11 may impact survival outcomes.

Methods: We performed an observational study of 145 patients treated with first-line IO or CT-ICI for advanced non-squamous (nsq) NSCLC at our institution tested with an extensive lab-developed NGS panel.

A muscle synergies-based controller to drive a powered upper-limb exoskeleton in reaching tasks.

This work introduces a real-time intention decoding algorithm grounded in muscle synergies (Syn-ID). The algorithm detects the electromyographic (EMG) onset and infers the direction of the movement during reaching tasks to control a powered shoulder-elbow exoskeleton. Features related to muscle synergies are used in a Gaussian Mixture Model and probability accumulation-based logic to infer the user's movement direction.