Biomarkers of Immunotherapy Response in Patients with Non-Small-Cell Lung Cancer: Microbiota Composition, Short-Chain Fatty Acids, and Intestinal Permeability.

Immune checkpoint inhibitors have been proposed as the standard treatment for different stages of non-small-cell lung cancer in multiple indications. Not all patients benefit from these treatments, however, and certain patients develop immune-related adverse events. Although the search for predictors of response to these drugs is a major field of research, these issues have yet to be resolved. It has been postulated that microbiota could play a relevant role in conditioning the response to cancer treatments; however, the human factor of intestinal permeability also needs to be considered as it is closely related to the regulation of host-microbiota interaction. In this article, we analyzed the possible relationship between the response to immune checkpoint inhibitors and the onset of immune-related adverse events, gut microbiota status, and intestinal membrane permeability. In a pioneering step, we also measured short-chain fatty acid content in feces. Although the correlation analyses failed to identify predictive biomarkers, even when all variables were integrated, our patients' microbial gut ecosystems were rich and diverse, and the intestinal barrier's integrity was preserved. These results add new knowledge on the composition of microbiota and its correlation with barrier permeability and short-chain fatty acids and suggest that more studies are required before these potential biomarkers can be incorporated into the clinical management of patients via immune checkpoint inhibitor treatment.

A Subset of PD-1-Expressing CD56bright NK Cells Identifies Patients with Good Response to Immune Checkpoint Inhibitors in Lung Cancer.

(1) Despite the effectiveness of immune checkpoint inhibitors (ICIs) in lung cancer, there is a lack of knowledge about predictive biomarkers. The objective of our study is to analyze different subsets of T-lymphocytes and natural killer (NK) cells as predictive biomarkers in a cohort of patients with nonsmall cell lung cancer (NSCLC) treated with ICI. (2) This is an observational, prospective study with 55 NSCLC patients treated with ICI. A total of 43 T and NK cell subsets are analyzed in peripheral blood, including the main markers of exhaustion, differentiation, memory, activation, and inhibition. (3) Regarding the descriptive data, Granzyme B+CD4+ Treg lymphocytes stand out (median 17.4%), and within the NK populations, most patients presented cytotoxic NK cells (CD56+CD3-CD16+GranzymeB+; median 94.8%), and about half of them have highly differentiated adaptive-like NK cells (CD56+CD3-CD16+CD57+ (mean 59.8%). A statistically significant difference was observed between the expression of PD1 within the CD56bright NK cell subpopulation (CD56+CD3-CD16-PD-1+) (p = 0.047) and a better OS. (4) Circulating immune cell subpopulations are promising prognostic biomarkers for ICI. Pending on validation with a larger sample, here we provide an analysis of the major circulating T and NK cell subsets involved in cancer immunity, with promising results despite a small sample size.

Diagnosis of Malnutrition According to GLIM Criteria Predicts Complications and 6-Month Survival in Cancer Outpatients.

Background and Aims: Malnutrition is a condition that has a great impact on oncology patients. Poor nutritional status is often associated with increased morbidity and mortality, increased toxicity, and reduced tolerance to chemotherapy, among other complications. The recently developed GLIM criteria for malnutrition aim to homogenize its diagnosis, considering the baseline disease status. We aimed to evaluate the performance of these new criteria for the prediction of complications and mortality in patients with cancer. Methods: This work is a prospective, single-center study. All outpatients under active treatment for head and neck, upper gastrointestinal, and colorectal tumors between February and October 2020 were recruited. These patients were followed up for 6 months, assessing the occurrence of complications and survival based on GLIM diagnoses of malnutrition. Results: We enrolled 165 outpatients, 46.66% of whom were malnourished. During the 6-month follow-ups, patients with malnutrition (46.7%, according to GLIM criteria) had a ~3-fold increased risk of hospital admission (p < 0.001) and occurrence of severe infection (considered as those requiring hospitalization, intravenous antibiotics, and/or drainage by interventional procedures) (p = 0.002). Similarly, malnourished patients had a 3.5-fold increased risk of poor pain control and a 4.4-fold increased need for higher doses of opioids (both p < 0.001). They also had a 2.6-fold increased risk of toxicity (p = 0.044) and a 2.5-fold increased likelihood of needing a dose decrease or discontinuation of cancer treatment (p = 0.011). The 6-month survival of malnourished patients was significantly lower (p = 0.023) than in non-malnourished patients. Conclusions: Diagnoses of malnutrition according to the GLIM criteria in oncology patients undergoing active treatment predict increased complications and worse survival at 6-month follow-ups, making them a useful tool for assessing the nutritional status of oncology patients.

Comparation of different malnutrition screening tools according to GLIM criteria in cancer outpatients.

BACKGROUND: Many studies have assessed different malnutrition screening tools in oncologic patients. However, very few have been carried out using the new GLIM criteria for malnutrition. The objective of our study is to compare the most recommended screening tools with respect to the new GLIM criteria for malnutrition in cancer patients. METHODS: Observational, cross-sectional, and single-center study carried out at the Medical Oncology Department at the Lozano Blesa Hospital in Zaragoza. We recruited 165 patients with tumors of the upper-gastrointestinal-tract, colorectal, and head-and-neck region undergoing outpatient treatment. All of them received MST, MUST, Nutriscore, MNA and CONUT screening tools, as well as the GLIM diagnostic criteria, which was used as the gold standard. RESULTS: MNA-SF showed the best sensitivity (0.99) and lowest specificity while CONUT had the best specificity (0.89) and lowest sensitivity to detect cancer-related malnutrition. We observed high variability in the diagnostic capabilities of Nutriscore when tumor location was considered, reducing sensitivity in patients with colorectal cancer compared to those with tumors of the upper-gastrointestinal-tract or head-and-neck location (0.25, 0.83, and 0.91 respectively). The highest index of agreement between the screening tools was found between MST, MUST and Nutriscore tests. Regarding the GLIM criteria, the highest agreement index was presented by MUST tool (0.66), while CONUT presented the lowest (0.12). CONCLUSIONS: Selecting the screening tool according to the type of cancer and its location may allow us to optimize its use and increase its performance, exploiting the advantages of each of them in the different populations.

GLIM vs ESPEN criteria for the diagnosis of early malnutrition in oncological outpatients.

BACKGROUND & AIMS: Malnutrition is one of the most prevalent problems among oncological patients. It reduces the response to treatments and negatively impacts survival. In 2019, a consensus criteria for diagnosing malnutrition (GLIM criteria) were proposed by most scientific nutrition societies. The objective of our work is 1) to assess the diagnostic capacity of the GLIM criteria in ambulatory patients with cancer and 2) to compare the GLIM with the ESPEN criteria to evaluate the contributions of these new criteria with respect to the existing ones. METHODS: Observational, cross-sectional, and single-center study carried out at the Medical Oncology Department in the Lozano Blesa Clinical Hospital in Zaragoza (Spain). One hundred and sixty-five outpatients with tumors in the upper gastrointestinal tract, head and neck, and colorectal locations were recruited. All of them received the MST, MUST, and Nutriscore screening tools along with the ESPEN and GLIM diagnostic criteria. RESULTS: The prevalence of malnutrition was 46.7% according to the GLIM criteria and 21.2% using the ESPEN tool. Patients diagnosed by GLIM had a higher body mass index (BMI, 24.3 kg/m2) and muscle mass (MM, 16.1 kg/m2) than those diagnosed by ESPEN (21.2 kg/m2 and 14.3 kg/m2 respectively, both p = 0.001). The MST, MUST, and Nutriscore tools had a higher degree of concordance with GLIM compared to ESPEN (MST 0.53 vs 0.26; MUST 0.36 vs 0.66; Nutriscore 0.28 vs 0.54). CONCLUSIONS: The found prevalence of malnutrition in cancer patients is higher using the GLIM instead of ESPEN criteria. This disparity can be explained at least in part by the difficulty of the ESPEN criteria for malnutrition to diagnose patients with high baseline BMI or MM. The use of criteria with greater sensitivity, such as the new GLIM criteria, could help early diagnosis and thus early intervention in cancer patients.

From Tumor Mutational Burden to Blood T Cell Receptor: Looking for the Best Predictive Biomarker in Lung Cancer Treated with Immunotherapy.

Despite therapeutic advances, lung cancer (LC) is one of the leading causes of cancer morbidity and mortality worldwide. Recently, the treatment of advanced LC has experienced important changes in survival benefit due to immune checkpoint inhibitors (ICIs). However, overall response rates (ORR) remain low in unselected patients and a large proportion of patients undergo disease progression in the first weeks of treatment. Therefore, there is a need of biomarkers to identify patients who will benefit from ICIs. The programmed cell death ligand 1 (PD-L1) expression has been the first biomarker developed. However, its use as a robust predictive biomarker has been limited due to the variability of techniques used, with different antibodies and thresholds. In this context, tumor mutational burden (TMB) has emerged as an additional powerful biomarker based on the observation of successful response to ICIs in solid tumors with high TMB. TMB can be defined as the total number of nonsynonymous mutations per DNA megabases being a mechanism generating neoantigens conditioning the tumor immunogenicity and response to ICIs. However, the latest data provide conflicting results regarding its role as a biomarker. Moreover, considering the results of the recent data, the use of peripheral blood T cell receptor (TCR) repertoire could be a new predictive biomarker. This review summarises recent findings describing the clinical utility of TMB and TCRß (TCRB) and concludes that immune, neontigen, and checkpoint targeted variables are required in combination for accurately identifying patients who most likely will benefit of ICIs.

Double heterozygous mutation in the BRCA1 and ATM genes involved in development of primary metachronous tumours: a case report.

PURPOSE: Between 5 and 10% of cases of breast cancer (BC) are attributable to a genetic susceptibility. The BRCA1 and BRCA2 genes described in the late 1990s are associated with an increased risk of breast and ovarian cancer, and the clinical management of carriers of pathogenic variants in these genes is defined in several clinical guidelines (Paluch-Shimon et al. in Ann Oncol 27(suppl 5):v103-v110, 2016; Llort et al. in Clin Transl Oncol 17(12):956-961, 2015). However, the pathogenic variants in BRCA1 and BRCA2 represent only a third of the causes of hereditary BC (Easton et al. in N Engl J Med 372:2243-2257, 2015). The incorporation of NGS (Next Generation Sequencing) techniques in the genetic diagnosis of this pathology, in addition to minimising the cost and time of analysis, allows the simultaneous study of other genes of high and moderate penetrance (Easton et al. in N Engl J Med 372:2243-2257, 2015; Op. Cit.; Tung et al. in Cancer 121(1):25-33, 2015). To date, there are not many cases or series of patients that describe the co-occurrence of two pathogenic variants in these genes of BC. Cases of double heterozygosis have been described with the presence of pathogenic variants in BRCA1, BRCA2, PALB2, CHEK2, BLM or NBN (Nomizu et al. in Breast Cancer 22(5):557-61, 2015; Heidemann et al. in Breast Cancer Res Treat 134(3):1229-1239, 2012; Zuradelli et al. in Breast Cancer Res Treat 124(1):251-258, 2010; Sokolenko et al. in Breast Cancer Res Treat 145(2):553-562, 2014). METHODS: We report the case of a patient diagnosed with multiple tumours who presented two pathogenic variants in heterozygosis. RESULTS: Two pathogenic variants, c.5123C > A (p.Ala1708Glu) in the BRCA1 gene and c.2413C > T (p.Arg805X) in the ATM gene were detected in heterozygosis. Said variants were confirmed by Sanger-type sequencing using specific primers. CONCLUSIONS: The implementation of gene panels using NGS in the study of hereditary cancer involves the detection of heterozygous double mutations in genes of high and moderate penetrance for cancer, although with a low frequency.

Occult H. pylori infection partially explains 'false-positive' results of (13)C-urea breath test.

BACKGROUND: In a previous study, UBiT-100 mg, (Otsuka, Spain), a commercial (13)C-urea breath test omitting citric acid pre-treatment, had a high rate of false-positive results; however, it is possible that UBiT detected low-density 'occult' infection missed by other routine reference tests. We aimed to validate previous results in a new cohort and to rule out the possibility that false-positive UBiT were due to an 'occult' infection missed by reference tests. METHODS: Dyspeptic patients (n = 272) were prospectively enrolled and UBiT was performed, according to the manufacturer's recommendations. Helicobacter pylori infection was determined by combining culture, histology and rapid urease test results. We calculated UBiT sensitivity, specificity, positive and negative predictive values (with 95% CI). In addition, we evaluated 'occult' H. pylori infection using two previously-validated polymerase chain reaction (PCR) methods for urease A (UreA) and 16 S sequences in gastric biopsies. We included 44 patients with a false-positive UBiT, and two control groups of 25 patients each, that were positive and negative for all H. pylori tests. RESULTS: UBiT showed a false-positive rate of 17%, with a specificity of 83%. All the positive controls and 12 of 44 patients (27%) with false-positive UBiT were positive for all two PCR tests; by contrast, none of our negative controls had two positive PCR tests. CONCLUSIONS: UBiT suffers from a high rate of false-positive results and sub-optimal specificity, and the protocol skipping citric acid pre-treatment should be revised; however, low-density 'occult' H. pylori infection that was undetectable by conventional tests accounted for around 25% of the 'false-positive' results.