Diagnostic and Prognostic Performance of Metabolic Signatures in Pancreatic Ductal Adenocarcinoma: The Clinical Application of Quantitative NextGen Mass Spectrometry.

With 64,050 new diagnoses and 50,550 deaths in the US in 2023, pancreatic ductal adenocarcinoma (PDAC) is among the most lethal of all human malignancies. Early detection and improved prognostication remain critical unmet needs. We applied next-generation metabolomics, using quantitative tandem mass spectrometry on plasma, to develop biochemical signatures that identify PDAC. We first compared plasma from 10 PDAC patients to 169 samples from healthy controls. Using metabolomic algorithms and machine learning, we identified ratios that incorporate amino acids, biogenic amines, lysophosphatidylcholines, phosphatidylcholines and acylcarnitines that distinguished PDAC from normal controls. A confirmatory analysis then applied the algorithms to 30 PDACs compared with 60 age- and sex-matched controls. Metabolic signatures were then analyzed to compare survival, measured in months, from date of diagnosis to date of death that identified metabolite ratios that stratified PDACs into distinct survival groups. The results suggest that metabolic signatures could provide PDAC diagnoses earlier than tumor markers or radiographic measures and offer insights into disease severity that could allow more judicious use of therapy by stratifying patients into metabolic-risk subgroups.

Therapeutic Targeting of P53: A Comparative Analysis of APR-246 and COTI-2 in Human Tumor Primary Culture 3-D Explants.

Background:TP53 is the most commonly mutated gene in human cancer with loss of function mutations largely concentrated in "hotspots" affecting DNA binding. APR-246 and COTI-2 are small molecules under investigation in P53 mutated cancers. APR binds to P53 cysteine residues, altering conformation, while COTI-2 showed activity in P53 mutant tumors by a computational platform. We compared APR-246 and COTI-2 activity in human tumor explants from 247 surgical specimens. Methods: Ex vivo analyses of programmed cell death measured drug-induced cell death by delayed-loss-of-membrane integrity and ATP content. The LC50s were compared by Z-Score. Synergy was conducted by the method of Chou and Talalay, and correlations were performed by Pearson moment. Results: APR-246 and COTI-2 activity favored hematologic neoplasms, but solid tumor activity varied by diagnosis. COTI-2 and APR-246 activity did not correlate (R = 0.1028) (NS). COTI-2 activity correlated with nitrogen mustard, cisplatin and gemcitabine, doxorubicin and selumetinib, with a trend for APR-246 with doxorubicin. For ovarian cancer, COTI-2 showed synergy with cisplatin at 25%. Conclusions: COTI-2 and APR-246 activity differ by diagnosis. A lack of correlation supports distinct modes of action. Cisplatin synergy is consistent with P53's role in DNA damage. Different mechanisms of action may underlie disease specificity and offer better disease targeting.

Metabolomic profile in patients with primary warm autoimmune haemolytic anaemia.

Autoimmune haemolytic anaemia (AIHA) is a rare clinical condition with immunoglobulin fixation on the surface of erythrocytes, with or without complement activation. The pathophysiology of AIHA is complex and multifactorial, presenting functional abnormalities of T and B lymphocytes that generate an imbalance between lymphocyte activation, immunotolerance and cytokine production that culminates in autoimmune haemolysis. In AIHA, further laboratory data are needed to predict relapse and refractoriness of therapy, and thus, prevent adverse side-effects and treatment-induced toxicity. The metabolomic profile of AIHA has not yet been described. Our group developed a cross-sectional study with follow-up to assess the metabolomic profile in these patients, as well as to compare the metabolites found depending on the activity and intensity of haemolysis. We analysed the plasma of 26 patients with primary warm AIHA compared to 150 healthy individuals by mass spectrometry. Of the 95 metabolites found in the patients with AIHA, four acylcarnitines, two phosphatidylcholines (PC), asymmetric dimethylarginine (ADMA) and three sphingomyelins were significantly increased. There was an increase in PC, spermine and spermidine in the AIHA group with haemolytic activity. The PC ae 34:3/PC ae 40:2 ratio, seen only in the 12-month relapse group, was a predictor of relapse with 81% specificity and 100% sensitivity. Increased sphingomyelin, ADMA, PC and polyamines in patients with warm AIHA can interfere in autoantigen and autoimmune recognition mechanisms in a number of ways (deficient action of regulatory T lymphocytes on erythrocyte recognition as self, negative regulation of macrophage nuclear factor kappa beta activity, perpetuation of effector T lymphocyte and antibody production against erythrocyte antigens). The presence of PC ae 34:3/PC ae 40:2 ratio as a relapse predictor can help in identifying cases that require more frequent follow-up or early second-line therapies.

Metabolomic Profiling of Peripheral Plasma by GC-MS and Correlation With Size of Uterine Leiomyomas.

Background: Uterine leiomyomas are benign monoclonal tumors originating from the myometrium. Little information exists concerning metabolomics and the presence of leiomyomas. Objective: The present study evaluated circulating metabolites in the plasma and their correlation with the presence and size of leiomyomas. Study Design: Cross-sectional observational study, including women divided into 3 groups: 37 with leiomyomas and uterus >500 cm3, 17 with leiomyomas and uterus ≤150 cm3, and 21 leiomyoma-free. Patients underwent peripheral blood collection using untargeted metabolic assessment by gas chromatography coupled to mass spectrometer. Results: There was no statistical difference between patients' anthropometric and demographic features and laboratory tests. Statistical differences in uterus volume (P < 0.0001) were found. Forty-six metabolites were identified (35% amino acids and derivatives, 22% fatty acids, and 18% carbohydrates). Statistically significant metabolic distinction (P < 0.05, false discovery rate< 0.05) was observed for 14 metabolites. Most amino acids (L-isoleucine, L-valine, and pyroglutamic acid) were significantly reduced in plasma levels of patients with large leiomyomas. The only exception was L-glutamine, with a significant increase. Fatty acids (arachidonic acid, alfa-tocopherol, palmitic acid, and stearic acid) were similarly reduced in large leiomyomas patients, except for alpha-linolenic acid, which increased. For carbohydrates (myo-inositol, D-threitol, and D-ribose), there was a decrease in the plasma of patients with leiomyomas. Conclusion: There are different plasma metabolites levels of amino acids, fatty acids, and carbohydrates among patients with leiomyomas, most of them reduced, but some significantly increased in large leiomyomas, compared to leiomyoma-free patients.

Towards risk stratification and prediction of disease severity and mortality in COVID-19: Next generation metabolomics for the measurement of host response to COVID-19 infection.

This study investigated the association between COVID-19 infection and host metabolic signatures as prognostic markers for disease severity and mortality. We enrolled 82 patients with RT-PCR confirmed COVID-19 infection who were classified as mild, moderate, or severe/critical based upon their WHO clinical severity score and compared their results with 31 healthy volunteers. Data on demographics, comorbidities and clinical/laboratory characteristics were obtained from medical records. Peripheral blood samples were collected at the time of clinical evaluation or admission and tested by quantitative mass spectrometry to characterize metabolic profiles using selected metabolites. The findings in COVID-19 (+) patients reveal changes in the concentrations of glutamate, valeryl-carnitine, and the ratios of Kynurenine/Tryptophan (Kyn/Trp) to Citrulline/Ornithine (Cit/Orn). The observed changes may serve as predictors of disease severity with a (Kyn/Trp)/(Cit/Orn) Receiver Operator Curve (ROC) AUC = 0.95. Additional metabolite measures further characterized those likely to develop severe complications of their disease, suggesting that underlying immune signatures (Kyn/Trp), glutaminolysis (Glutamate), urea cycle abnormalities (Cit/Orn) and alterations in organic acid metabolism (C5) can be applied to identify individuals at the highest risk of morbidity and mortality from COVID-19 infection. We conclude that host metabolic factors, measured by plasma based biochemical signatures, could prove to be important determinants of Covid-19 severity with implications for prognosis, risk stratification and clinical management.

Platinum resistance in gynecologic malignancies: Response, disease free and overall survival are predicted by biochemical signature: A metabolomic analysis.

OBJECTIVE: Platinum resistance, defined as the lack of response or relapse within six months of platinum-based chemotherapy, is an important determinant of survival in gynecologic cancer. We used quantitative Mass Spectrometry to identify metabolic signatures that predict platinum resistance in patients receiving chemotherapy for gynecologic cancers. METHODS: In this study 47 patients with adenocarcinoma of the ovary or uterus who were candidates for carboplatin plus paclitaxel submitted blood for quantitation of metabolites and surgical specimens for the isolation 3-dimensional organoids used to measure individual patient platinum resistance, ex vivo. Results were correlated with response, time to progression and survival. RESULTS: Of 47 patients, 27 (64.3%) achieved complete remission with a mean time to progression of 1.9 years (± 1.5), disease-free survival of 1.7 years (± 1.4) and overall survival of 2.6 years (± 1.6) and a mean cisplatin lethal concentration 50% (LC50) = 1.15 µg/ml (range 0.4-3.1). Cisplatin LC50's correlated with a non-significant decrease in complete remission (RR [95% CI] =0.76 [0.46-1.27]), diminished disease-free survival (median: 1.15 vs. 2.99 years, p = 0.038) and with biochemical signatures of 186 metabolites. Receiver operating curves (ROC) of lipid ratios, branched chain amino acids and the tryptophan to kynurenine ratio identified patients at the highest risk of relapse and death (AUC = 0.933) with a sensitivity of 92.0% and specificity of 86.0% (p < 0.001). CONCLUSIONS: Metabolic signatures in gynecologic cancer identify patients at the highest risk of relapse and death offering new diagnostic and prognostic tools for management of the advanced gynecologic tumors.

Progesterone's role in deep infiltrating endometriosis: Progesterone receptor and estrogen metabolism enzymes expression and physiological changes in primary endometrial stromal cell culture.

To study progesterone signaling activation, we measured changes in extracellular pH as a reflection of Na+/H+ exchange (NHE) using a cytosensor microphysiometer and assessed progesterone receptor (PR) and estrogen metabolism enzymes mRNA expression in cultured endometrial cells from women with deep infiltrating endometriosis and healthy controls using real-time quantitative PCR. This study was conducted at a University hospital and included patients with and without deep infiltrating endometriosis (DIE). Primary endometrial stromal cells (ECs) from women with DIE and controls were treated with 17ß-estradiol and progesterone prior to microphysiometer measurements and qPCR evaluations. Decreased progesterone responsiveness and decreased total nuclear PR and HSD17B1 mRNA expression were observed in cultured ECs from women with deep infiltrating endometriosis relative to those from control samples before and after hormone treatment. These cells also showed increased 17ß-hydroxysteroid dehydrogenases types 2 (HSD17B2) relative to control group and increased expression of aromatase (CYP19) after exposure to progesterone. These physiological and expression patterns observed in ECs cultures from women with DIE reinforces previous findings in the literature supporting the progesterone resistance hypothesis in the pathogenesis of endometriosis.

Inborn-like errors of metabolism are determinants of breast cancer risk, clinical response and survival: a study of human biochemical individuality.

Breast cancer remains a leading cause of morbidity and mortality worldwide yet methods for early detection remain elusive. We describe the discovery and validation of biochemical signatures measured by mass spectrometry, performed upon blood samples from patients and controls that accurately identify (>95%) the presence of clinical breast cancer. Targeted quantitative MS/MS conducted upon 1225 individuals, including patients with breast and other cancers, normal controls as well as individuals with a variety of metabolic disorders provide a biochemical phenotype that accurately identifies the presence of breast cancer and predicts response and survival following the administration of neoadjuvant chemotherapy. The metabolic changes identified are consistent with inborn-like errors of metabolism and define a continuum from normal controls to elevated risk to invasive breast cancer. Similar results were observed in other adenocarcinomas but were not found in squamous cell cancers or hematologic neoplasms. The findings describe a new early detection platform for breast cancer and support a role for pre-existing, inborn-like errors of metabolism in the process of breast carcinogenesis that may also extend to other glandular malignancies. Statement of Significance: Findings provide a powerful tool for early detection and the assessment of prognosis in breast cancer and define a novel concept of breast carcinogenesis that characterizes malignant transformation as the clinical manifestation of underlying metabolic insufficiencies.

Evaluation of pre- and post-operative symptoms in patients submitted to linear stapler nodulectomy due to anterior rectal wall endometriosis.

BACKGROUND: The objective of this study was to evaluate the feasibility and safety of a more versatile rectosigmoid nodulectomy technique using a linear stapler. METHODS: Case series. SETTING: tertiary care (reference center for endometriosis surgery). PATIENTS: Sixty-one consecutive patients who were operated on between January 2006 and February 2013. INTERVENTION: anterior rectal wall nodulectomy technique using sequential bites of the linear stapler. MEASUREMENTS: Perioperative complications were recorded, and a condition-specific bowel dysfunction quality of life questionnaire (Rome III--Constipation) was applied pre-operatively and post-operatively during the first week of April 2013. DESIGN CLASSIFICATION: Canadian Task Force III RESULTS: A total of 61 patients were submitted to the intervention. After a mean follow-up period of 1.83 years (.25-7.1 ± 1.97), no post-operative fistula or leakage was observed. In addition, no cases of rectal stenosis or bowel obstruction were recorded, and two patients were excluded for not answering the post-operative questionnaire. According to the Rome III questionnaire, constipation symptoms improved significantly in 12 out of 17 questions. No patient reported worsening of symptoms in question. CONCLUSIONS: Linear stapler resection is a safe alternative to segmentar resection for endometriotic nodules on the anterior rectal wall.

Disrupted cell cycle control in cultured endometrial cells from patients with endometriosis harboring the progesterone receptor polymorphism PROGINS.

Presently, little is understood about how endometriosis is established or maintained, or how genetic factors can predispose women to the disease. Because of the crucial role that the progesterone receptor polymorphism PROGINS plays in predisposing women to the development of endometriosis, we hypothesized that this variant may influence critical steps during endometrial cell metabolism that are involved in the pathogenesis of endometriosis. Eutopic endometria were collected from three sources: women with endometriosis who had a single PROGINS allele (from the progesterone receptor gene); women with endometriosis who had the wild-type progesterone receptor allele; and women without endometriosis who had the wild-type allele. Cells prepared from the eutopic endometria of these women were stimulated with both estradiol and progesterone, and then examined for cell proliferation, viability, and apoptosis. The cells from women with endometriosis that carried the PROGINS allele demonstrated increased proliferation, greater viability, and decreased apoptosis following progesterone treatment. In general, these parameters were very different as compared with those of women with endometriosis but without the PROGINS allele and women in the control group. This result indicates there is a reduced level of progesterone responsiveness in women who carry the PROGINS polymorphism. Because progesterone responsiveness is known to be an important characteristic of women with endometriosis, these data support the contention that the PROGINS polymorphism enhances the endometriosis phenotype.

The V109G polymorphism in the p27 gene is associated with endometriosis.

OBJECTIVE: To investigate the prevalence of the p27 gene polymorphism in women with endometriosis. STUDY DESIGN: Transversal case-control study. Genomic DNA was extracted from cells collected from buccal swabs. The p27 V109G polymorphism was investigated using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method in a hospital-based Brazilian population. RESULTS: We analysed the 104 patients and 109 control subjects. The distribution of genotype and allele frequencies of p27 V109G polymorphism was significantly different between the endometriosis cases and healthy women (p=0.016 and 0.002). Women who had at least one mutated allele presented twofold chances for endometriosis development (OR=1.9; 95% CI, 1.120-3.343). CONCLUSION: The polymorphic variant at codon 109 of the p27 gene seems to be associated with higher risk of endometriosis development.

Intron 1 and exon 1 alpha estrogen receptor gene polymorphisms in women with endometriosis.

OBJECTIVE: To evaluate the association of intron 1 and exon 1 polymorphisms in the estrogen receptor alpha gene (ER-alpha) with endometriosis in women. DESIGN: Association study. SETTING: Endometriosis Unit, Federal University of São Paulo. PATIENT(S): The control group consisted of volunteers older than 45 years who had no evidence of endometriosis antecedents. Two groups with the disease were evaluated: the first group had stage I or II endometriosis and the second group stage III or IV. INTERVENTION(S): Polymerase chain reaction (PCR) followed by digestion with HaeIII and MspI endonucleases (RFLP) were applied to detect intron 1 and exon 1 polymorphisms, respectively, in a total of 125 controls and 105 affected women. MAIN OUTCOME MEASURE(S): Frequency and distribution of HaeIII and MspI polymorphisms in ER-alpha. RESULT(S): No significant differences in the frequency of polymorphisms either in intron 1 or exon 1 of ER-alpha were found when endometriosis patients were compared with control subjects. Furthermore, the frequency of ER-alpha polymorphisms within the two different groups of patients with disease was statistically similar. The odds ratio between presence of intron 1 single-nucleotide polymorphisms (SNP) and endometriosis was 0.904, and the odds ratio between exon 1 SNP and endometriosis was 0.976. CONCLUSION(S): The evaluated polymorphisms were not associated with endometriosis.

Genetic polymorphisms of cytochrome P450cl7alpha (CYP17) and progesterone receptor genes (PROGINS) in the assessment of endometriosis risk.

We designed the present study in order to evaluate the eventual role of polymorphisms in the genes encoding cytochrome P450c17alpha (CYP17) and the progesterone receptor (PROGINS) as risk factors for endometriosis development. Eligible cases consisted of 121 women with surgically confirmed endometriosis who underwent treatment in a hospital in São Paulo, Brazil during the period from September 2003 to September 2005. The 281 controls were participants with normal gynecological as well as pelvic ultrasound evaluation, who did not have any gynecological conditions during their reproductive lives such as pelvic pain and/or dyspareunia nor infertility history. Genomic DNA was obtained from buccal cells and processed for DNA extraction using the GFX DNA extraction kit (GE Healthcare). The CYP17 (-34T-->C) polymerase chain reaction-restriction fragment length polymorphism assay has been described previously, as has the progesterone receptor polymorphism (PROGINS) detection assay. PROGINS heterozygosis genotype frequencies were shown to be statistically higher in endometriosis cases compared with controls. On the other hand, differences in the CYP17 polymorphism (-34T-->C) frequencies were not even close to significance (p = 0.278) according to our findings.

Polymorphisms in exons 1B and 1C of the type I interleukin-1 receptor gene in patients with endometriosis.

To study possible correlation between the prevalence of polymorphisms in the type I interleukin-1 receptor gene and pelvic endometriosis. Genotypes of 223 women were analyzed: 109 women with surgically and histologically confirmed endometriosis and 114 healthy women. Distributions of two single-base polymorphisms of the human interleukin-1 receptor type I (IL-1RI) gene were evaluated: PstI, due to a C-->T transition in exon 1B and BsrBI a C-->A transition at position 52 in exon 1C. Polymorphisms were detected by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism analysis (RFLP) resolved on 3% agarose gels stained with ethidium bromide. Genotypes for PstI polymorphisms did not differ significantly among control and endometriosis (P = 0.058). However, in relation to BsrBI polymorphism, protective risk was observed for the development of endometriosis [OR 0.39-IC 95% (0.2-0.9)]. BsrBI heterozygote genotype (C/A) showed protective effect against endometriosis development.

Polimorfismo do gene do receptor de progesterona (PROGINS) em mulheres com endometriose pélvica / Progesterone receptor gene polymorphism (PROGINS) in women with pelvic endometriosis

OBJETIVO: o objetivo do estudo foi verificar a prevalência do polimorfismo denominado PROGINS no gene do receptor de progesterona entre mulheres com endometriose em seus diferentes estádios. MÉTODOS: estudo caso-controle desenvolvido entre novembro de 2003 e maio de 2004. Foram analisados os genótipos de 104 mulheres, das quais 66 com endometriose comprovada por videolaparoscopia (26 mulheres nos estádios I-II e 40 nos estádios III-IV) e 38 saudáveis. A inserção Alu de 306 pares de base no intron G do gene do receptor de progesterona denominada PROGINS foi detectada por meio de reação em cadeia da polimerase e analisada em gel de agarose 2 por cento corado com brometo de etídio. Para análise estatística foi utilizado o teste ANOVA paramétrico. RESULTADOS: as amostras pertencentes aos grupos endometriose estádios I-II (grupo EndoI) e estádios III-IV (grupo EndoII) tiveram significativo aumento na incidência do alelo polimórfico do receptor de progesterona em relação ao grupo controle: 27 por cento no grupo EndoI, 38 por cento no EndoII e apenas 18 por cento no grupo controle (p < 0,001). A prevalência da inserção, quando comparamos mulheres com endometriose, independente do estádio, com as do grupo controle, foi estatisticamente superior no grupo das doentes (p = 0,0385). CONCLUSAO: há associação estatisticamente significante entre o polimorfismo PROGINS e a endometriose pélvica.