Publications by authors named "Alberto Hernando-Calvo"

Objectives: Sinonasal cancers (SNC) are heterogeneous diseases with different clinical behavior. We aimed to identify prognostic factors in non-metastatic (M0)-SNC.

Methods: Electronic health records from M0-SNC patients treated with definitive surgery ± postoperative radiotherapy or chemoradiotherapy at two tertiary institutions were reviewed.

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Purpose: To evaluate the safety, pharmacokinetics, pharmacodynamics, and efficacy of ficerafusp alfa (BCA101), a first-in-class bifunctional protein targeting epidermal growth factor receptor (EGFR) and TGF-β, as monotherapy and in combination with pembrolizumab, in patients with advanced solid tumors.

Patients And Methods: At escalating doses in a parallel 3+3 design, patients with EGFR-driven advanced solid tumors received weekly intravenous ficerafusp alfa monotherapy (64-1500 mg) or in combination (240-1500 mg) with pembrolizumab (200 mg intravenously every 3 weeks). The primary objective was to determine safety/tolerability.

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Heavily pretreated metastatic colorectal cancer (mCRC) poses significant therapeutic challenges. Advances in molecular profiling enables personalized strategies. We present a 62-year-old male with mCRC harboring , , , and alterations, following FOLFOX and FOLFIRI, dabrafenib plus panitumumab, and a BRAF inhibitor clinical trial, each leading to initial responses followed by disease progression.

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Immunotherapy has significantly changed the treatment paradigm for solid tumors, with immune checkpoint inhibitors now established in the management of many malignancies. Despite initial success, durable responses remain limited to a subset of patients, often less than 30%, due to both intrinsic and acquired resistance mechanisms. These challenges have prompted the development of next-generation immunotherapies.

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The human genome project ushered in a genomic medicine era that was largely unimaginable three decades ago. Discoveries of druggable cancer drivers enabled biomarker-driven gene- and immune-targeted therapy and transformed cancer treatment. Minimizing treatment not expected to benefit, and toxicity-including financial and time-are important goals of modern oncology.

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Cancer immunotherapies with antibodies blocking immune checkpoint molecules are clinically active across multiple cancer entities and have markedly improved cancer treatment. Yet, response rates are still limited, and tumour progression commonly occurs. Soluble and cell-bound factors in the tumour microenvironment negatively affect cancer immunity.

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Background: Prognostic factors for ambulatory oncology patients have been described, including Eastern Cooperative Oncology Group (ECOG), tumor stage and malnutrition. However, there is no firm evidence on which variables best predict mortality in hospitalized patients receiving active systemic treatment. Our main goal was to develop a predictive model for 90-day mortality upon admission.

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Purpose: Immune gene expression signatures are emerging as potential biomarkers for immunotherapy (IO). VIGex is a 12-gene expression classifier developed in both nCounter (Nanostring) and RNA sequencing (RNA-seq) assays and analytically validated across laboratories. VIGex classifies tumor samples into hot, intermediate-cold (I-Cold), and cold subgroups.

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Background: The use of immunotherapy in mismatch repair proficient colorectal cancer (pMMR-CRC) or pancreatic adenocarcinoma (PDAC) is associated with limited efficacy. DAPPER (NCT03851614) is a phase 2, basket study randomizing patients with pMMR CRC or PDAC to durvalumab with olaparib (durvalumab + olaparib) or durvalumab with cediranib (durvalumab + cediranib).

Methods: PDAC or pMMR-CRC patients were randomized to either durvalumab+olaparib (arm A), or durvalumab + cediranib (arm B).

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Introduction: There is a need to improve the outcomes of patients with head and neck squamous cell carcinoma (HNSCC) and nasopharyngeal carcinoma (NPC), especially in recurrent unresectable and metastatic (R/M) setting. Antibody-drug conjugates (ADC) and bispecific antibodies (BsAb) may deliver promising results.

Methods: We conducted a systematic literature review to identify ADC and BsAb clinical trials, involving patients with HNSCC and NPC, from database creation to December 2023.

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Article Synopsis
  • The use of molecular profiling and next-gen sequencing in cancer treatment has helped identify patients who can benefit from targeted therapies.
  • Since pembrolizumab was approved in 2017 for all patients with MSI-High tumors, more targeted treatments have been introduced for various cancer types.
  • This review discusses current tumor-agnostic drug approvals, potential new therapies, and the challenges for implementing these treatments widely in oncology.
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Background: Head and neck squamous cell carcinoma (HNSCC) presents an ideal scenario for intratumoral therapies (IT), due to its local recurrence pattern and frequent superficial extension. IT therapies aim to effect tumor regression by directly injecting antineoplastic agents into lesions. However, there is a lack of updated evidence regarding IT therapies in HNSCC.

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Article Synopsis
  • Researchers looked at the costs and benefits of a special genetic test called NGS for patients with advanced cancer in a study done in Canada.
  • The study compared patients who had the NGS test to those who didn’t, to see if it helped them live longer or join clinical trials.
  • They found that while the NGS test cost more, it did lead to more patients joining clinical trials and had better quality of care at the end of life, but it didn't really help them live longer overall.
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Objectives: We aimed to evaluate the activity of selinexor, an oral selective inhibitor of nuclear export, in patients with recurrent or metastatic salivary gland tumors (SGT).

Methods: GEMS-001 is an open-label Phase 2 study for patients with recurrent or metastatic SGT with two parts. In Part 1 of the protocol, patients had tumor samples profiled with targeted next generation sequencing as well as immunohistochemistry for androgen receptor, HER-2 and ALK.

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Background: Immunotherapy is effective, but current biomarkers for patient selection have proven modest sensitivity. Here, we developed VIGex, an optimized gene signature based on the expression level of 12 genes involved in immune response with RNA sequencing.

Methods: We implemented VIGex using the nCounter platform (Nanostring) on a large clinical cohort encompassing 909 tumor samples across 45 tumor types.

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Purpose: Non-inflamed (cold) tumors such as leiomyosarcoma do not benefit from immune checkpoint blockade (ICB) monotherapy. Combining ICB with angiogenesis or PARP inhibitors may increase tumor immunogenicity by altering the immune cell composition of the tumor microenvironment (TME). The DAPPER phase II study evaluated the safety, immunologic, and clinical activity of ICB-based combinations in pretreated patients with leiomyosarcoma.

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A disruptive clinical trial design allowed Drilon and colleagues to demonstrate proof of concept of the potential of PF-07284892 to overcome resistance mechanisms to targeted therapies in the clinic. See related article by Drilon et al., p.

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Background: Beyond programmed death-ligand 1 (PD-L1) assessed by the combined positive score (CPS) and tumor mutational burden (TMB), no other biomarkers are approved for immunotherapy interventions. Here, we investigated whether additional clinical and pathological variables may impact on immunotherapy outcomes in recurrent or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC) patients.

Methods: R/M HNSCC patients treated with immunotherapy were reviewed.

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Introduction: Despite the increased number of novel immunotherapy (IO) agents under current development, their toxicity profile remains to be fully elucidated.

Methods: An IO risk stratification model was developed based on 5 different variables: treatment-related deaths; rate of grade ≥3 treatment-related adverse events or treatment-emergent adverse events; grade ≥2 encephalopathy or central nervous system toxicity; grade ≥2 cytokine release syndrome; and the number and type of dose-limiting toxicity. Phase 1 IO trials published from January 2014 to December 2020 were reviewed and categorised based on our risk stratification model into three categories: low-, intermediate- and high-risk.

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Background: Phase 1 immuno-oncology (IO) trials frequently involve pharmacodynamic (PD) biomarker assessments involving tumour biopsies and/or blood collection, with increasing use of molecular imaging. PD biomarkers are set to play a fundamental role in early drug development of immuno-oncology (IO) agents. In the IO era, the impact of PD biomarkers for confirmation of biologic activity and their role in subsequent drug development have not been investigated.

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Immune-checkpoint inhibitors have profoundly changed the treatment landscape for many tumor types. Despite marked improvements in disease control for highly immunogenic cancers, the clinical impact of checkpoint inhibitors in breast cancers to date is limited. Breast cancer is a heterogeneous disease with different levels of PD-L1 expression and variable tumor microenvironment (TME) composition according to molecular subtype.

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Purpose: Patient selection in phase 1 clinical trials (Ph1t) continues to be a challenge. The aim of this study was to develop a user-friendly prognostic calculator for predicting overall survival (OS) outcomes in patients to be included in Ph1t with immune checkpoint inhibitors (ICIs) or targeted agents (TAs) based on clinical parameters assessed at baseline.

Methods: Using a training cohort with consecutive patients from the VHIO phase 1 unit, we constructed a prognostic model to predict median OS (mOS) as a primary endpoint and 3-month (3m) OS rate as a secondary endpoint.

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