This review focuses on precursor lesions of gastrointestinal and pancreatic neuroendocrine tumors (GEP-NETs). There are three conditions that are associated with hyperplastic changes in endocrine cells preceding GEP-NETs: autoimmune chronic atrophic gastritis or multiple endocrine neoplasia type 1 (MEN1) with gastric enterochromaffin-like (ECL) cell hyperplasia; MEN1 with gastrin and somatostatin cell hyperplasia in the duodenum and glucagon cell hyperplasia in the islets of the pancreas; and inflammatory bowel disease with endocrine cell hyperplasia in the colon. In gastric ECL cell hyperplasia, it is assumed that hypergastrinemia promotes the growth of the ECL cells of the corpus mucosa and leads to hyperplasia and neoplasia. In the duodenum and the pancreas, the MEN1-associated germline mutation of the menin gene obviously causes hyperplasia of the gastrin and somatostatin cells (duodenum) and the glucagon cells (pancreas), resulting in multifocal development of tumors. These tumors show allelic deletion of the MEN1 gene, whereas the precursor lesions retain their heterozygosity. The endocrine cell hyperplasia in the colon described in inflammatory bowel disease has neither a genetic nor a definite hormonal background.

Numerous peptide receptors have recently been reported to be expressed or overexpressed in various human cancers. For instance, somatostatin receptors are particularly frequently expressed in gastroenteropancreatic neuroendocrine tumors (GEP-NET), including both primaries and metastases. The density is often high, and the distribution is usually homogenous. While various somatostatin receptor subtypes can be expressed in these tumors, the sst(2) is clearly predominant. These receptors represent the molecular basis for a number of clinical applications, including symptomatic therapy with octreotide in hormone-secreting GEP-NET, in vivo diagnostic with radiolabeled diethylene triamine pentaacetic acid octreotide (Octreoscan) to evaluate the extend of the disease, and (90)Y- or (177)Lu-[(90)Y-DOTA]-D: -Phe(1)-Tyr(3) octreotide radiotherapy. GEP-NET can, however, express peptide receptors other than somatostatin receptor: Insulinomas have more glucagon-like peptide 1 receptors than somatostatin receptors; gastrinomas express very high levels of secretin receptors. GEP-NET may also express cholecystokinin 2, bombesin, neuropeptide Y, or vasoactive intestinal peptide receptors. Often, several of these peptide receptors are expressed simultaneously in GEP-NET, providing a molecular basis for in vivo multireceptor targeting of those tumors.

OBJECTIVE

Several series report on the relative contribution of ectopic ACTH syndrome (EAS) in the spectrum of Cushing's syndrome. However, prevalence of EAS in patients with thoracic or gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is currently unknown.

METHODS

We assessed, in a tertiary referral center, the prevalence of EAS in a large cohort of thoracic and GEP-NET patients including clinical, biochemical, and radiological features; management; and treatment outcome.

METHODS

In total, 918 patients with thoracic or GEP-NETs were studied (1993-2012). Multiple endocrine neoplasia type 1 and small cell lung carcinoma patients were excluded. Differentiation between synchronous, metachronous, and cyclic occurrence of EAS was made.

RESULTS

Out of the 918 patients with thoracic and GEP-NETs (469 males and 449 females; median age 58.7 years (range: 17.3-87.3)), 29 patients (3.2%) had EAS (ten males and 19 females; median age 48.1 years (range: 24.7-77.9)). EAS occurred synchronously in 23 patients (79%), metachronously in four patients (14%), and cyclical in two patients (7%) respectively. NETs causing EAS included lung/bronchus (n=9), pancreatic (n=9), and thymic (n=4). In four patients, the cause of EAS was unknown (n=4). Median overall survival (OS) of non-EAS thoracic and GEP-NET patients was 61.2 months (range: 0.6-249.4). Median OS of EAS patients was 41.4 months (range: 2.2-250.9). After comparison, only the first 5-year survival was significantly shorter (P=0.013) in EAS patients.

CONCLUSIONS

Prevalence of EAS in this large cohort of patients with thoracic and GEP-NETs was 3.2%. EAS was mostly caused by thoracic and pancreatic NETs. First 5-year survival of EAS patients was shorter compared with non-EAS patients.

BACKGROUND

There has been a marked increase in the recognized incidence of gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Studies have often combined duodenal neuroendocrine tumors (D-NETs) with other small bowel GEP-NETs. As a result, the natural history and clinical ramifications of these D-NETs is poorly understood.

METHODS

Patients diagnosed with duodenal "carcinoid" tumors from 1983 to 2010 were identified in the Surveillance Epidemiology and End Results tumor registry.

RESULTS

A total of 1,258 patients were identified. The mean age was 64 years. The majority of patients were male (55.6%), white (55.6%), and had stage I disease (66.2%). Patients meeting inclusion criteria were divided into 2 cohorts: (i) era 1 patients diagnosed with GEP-NETs from 1983 to 2005, and (ii) era 2 those diagnosed from 2005 to 2010. There was a clear increase in the incidence rate of D-NETs from 0.27 per 100,000 in 1983 to 1.1 per 100,000 in 2010 (P < .001). Comparison of patients from the different eras revealed that those in era 2 were more likely than era 1 to present with stage I disease (69.9 vs 57.5%; P < .01) and less likely to present with late-stage disease. The 5-year, disease-specific survival improved for era 2 patients compared with era 1 (89.3 vs 85.2%; P = .05); however, multivariate analysis demonstrated that stage but not era was associated with disease-specific survival.

CONCLUSIONS

Prognosis for D-NETs, in contrast with other small bowel NETs, is excellent. There has been a steady increase in the recognized incidence of D-NETs, coincident with the migration to earlier disease stage and improved disease-specific survival.

BACKGROUND

Representative data on the gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) in Asian patients is rare, especially in China. This study aims to create a GEP-NENs profile of Chinese patients.

METHODS

This was a hospital-based, nation-wide, and multi-center 10-year (2001-2010) retrospective study which collected GEP-NEN patients' information in tertiary referral hospitals. All 2010 inpatient GEP-NEN cases with confirmed pathology in the selected hospitals were included. The primary GEP-NEN sites were measured and the epidemiological and clinical information of each tumor site were compared.

RESULTS

The most common primary sites for GEP-NEN were the pancreas (31.5%) and rectum (29.6%), followed by the cardia (11.6%) and body (15.4%) of stomach. Small intestinal and colonic NENs took up a relatively small proportion of all patients. Pancreatic and rectal NENs, rather than cardiac and gastric body NENs, tended to be found in younger (P<0.001), female (P<0.001), urban (P<0.001) residents with a higher education level (P=0.032) and were also diagnosed at earlier stage (P<0.001) and lower grade (P<0.001). Surgery remained the primary treatment method in all groups.

CONCLUSIONS

More studies on the commonality and heterogeneity of GEP-NENs are warranted to improve diagnosis efficiencies and treatment outcomes.

Multiple myeloma (MM) is largely incurable and drug-resistant. Novel therapeutic approaches such as inhibiting autophagy or rational drug combinations are aimed to overcome this issue. In this study, we found that lycorine exhibits a promising anti-proliferative activity against MM in vitro and in vivo by inhibiting autophagy. We identified High mobility group box 1 (HMGB1), an important regulator of autophagy, as the most aberrantly expressed protein after lycorine treatment and as a critical mediator of lycorine activity. Gene expression profiling (GEP) analysis showed that higher expression of HMGB1 is linked with the poor prognosis of MM. This correlation was further confirmed in human bone marrow CD138+ primary myeloma cells and MM cell lines. Mechanistically, proteasomal degradation of HMGB1 by lycorine inhibits the activation of MEK-ERK thereby decreases phosphorylation of Bcl-2 resulting in constitutive association of Bcl-2 with Beclin-1. In addition, we observed higher HMGB1 expression in bortezomib resistant cells and the combination of bortezomib plus lycorine was highly efficient in vitro and in vivo myeloma models as well as in re-sensitizing resistant cells to bortezomib. These observations indicate lycorine as an effective autophagy inhibitor and reveal that lycorine alone or in combination with bortezomib is a potential therapeutic strategy.

Neuroendocrine tumors (NET) are classified according to the Ki67 in low-intermediate grade (Ki67<20%) and high grade (Ki67>20%). The NET of the latter group are also known as neuroendocrine carcinoma (NEC), and their prognosis is dismail. While in the former group biotherapy and radionuclide therapy can be proposed, chemotherapy represents the only treatment usually proposed for NEC. Cisplatin/etoposide combination is usually chosen based on the rationale that NEC are clinically similar to small cell lung cancer. However, evidence for cisplatin/etoposide in NEC is poor and controversial, and different schedules and response rate have been published so far. These aspects, combined with the heterogeneous characteristics of NEC, prompt us to have some doubt in considering cisplatin/etoposide as the gold standard. Some evidence exists that carboplatin can be used instead of cisplatin and irinotecan instead of etoposide without reducing efficacy. Furthermore other drugs, as gemcitabine, oxaliplatin or temozolomide can be evaluated in NEC with non-neuroendocrine component or in mixed adenoneuroendocrine carcinomas. NEC are a category of NET that should be deeply studied to verify if the response to cisplatin/etoposide is homogeneous related to the different Ki67, different morphology and/or different primary site.

OBJECTIVE

To establish the optimal safe dose of everolimus in combination with (177)Lu-octreotate peptide receptor radionuclide therapy (PRRT) of advanced progressive gastro-entero pancreatic neuroendocrine tumors (GEP-NETs) and to define dose-limiting toxicity.

METHODS

Patients with advanced unresectable progressive well-differentiated GEP-NETS avid for (68)Ga-octreotate on positron emission tomography-computed tomography imaging underwent PRRT with four cycles of 7.8 GBq (177)Lu-octreotate at 8 week intervals. Successive cohorts of 3 patients received escalating doses of everolimus comprising 5, 7.5, and 10 mg daily for 24 weeks.

RESULTS

Sixteen patients comprised 4 at 5 mg, 9 at 7.5 mg, and 3 at 10 mg everolimus. Patient cohorts at 5 and 7.5 mg received 83% and 80% of the total planned dose of everolimus over 24 weeks. All patients required dose reduction or complete cessation of everolimus at the 10 mg level, which induced neutropenia and thrombocytopenia, and reduced creatinine clearance. The overall response rate was 44% (7 of 16 patients), and no patient progressed over the 6 month period of treatment. Four of 5 pancreatic NET patients achieved PR 80%. No patient progressed on study.

CONCLUSIONS

In combination, PRRT with (177)Lu-octreotate, the maximum tolerated dose of everolimus is 7.5 mg daily.

BACKGROUND

PC cell-derived growth factor (PCDGF), also called epithelin/granulin precursor (GEP), is an 88-kDa secreted glycoprotein with the ability to stimulate cell proliferation in an autocrine fashion. In addition, some studies indicated that PCDGF participated in invasion, metastasis and survival of cancer cells by regulating cell migration, adhesion and proliferation. Yet the effects of PCDGF on proliferation and invasion of ovarian cancer cells in vitro and the mechanisms by which PCDGF mediates biological behaviors of ovarian cancer have rarely been reported. In the present study we investigated whether and how PCDGF/GEP mediated cell proliferation and invasion in ovarian cancer.

METHODS

PCDGF/GEP expression level in three human ovarian cancer cell lines of different invasion potential were detected by RT-PCR and western blot. Effects of inhibition of PCDGF expression on cell proliferation and invasion capability were determined by MTT assay and Boyden chamber assay. Expression levels of cyclin D1 and CDK4 and MMP-2 activity were evaluated in a pilot study.

RESULTS

PCDGF mRNA and protein were expressed at a high level in SW626 and A2780 and at a low level in SKOV3. PCDGF expression level correlated well with malignant phenotype including proliferation and invasion in ovarian cancer cell lines. In addition, the proliferation rate and invasion index decreased after inhibition of PCDGF expression by antisense PCDGF cDNA transfection in SW626 and A2780. Furthermore expression of CyclinD1 and CDK4 were downregulated and MMP-2 was inactivated after PCDGF inhibition in the pilot study.

CONCLUSIONS

PCDGF played an important role in stimulating proliferation and promoting invasion in ovarian cancer. Inhibition of PCDGF decreased proliferation and invasion capability through downregulation of cyclin D1 and CDK4 and inactivation of MMP-2. PCDGF could serve as a potential therapeutic target in ovarian cancer.

OBJECTIVE

Guidelines recommend gene-expression profiling (GEP) tests to identify early-stage breast cancer patients who may benefit from chemotherapy. However, variation exists in oncologists' use of GEP. We explored medical oncologists' views of GEP tests and factors impacting its use in clinical practice.

METHODS

We used a qualitative design, comprising telephone interviews with medical oncologists (n = 14; 10 academic, 4 in the community) recruited through oncology clinics, professional advertisements, and referrals. Interviews were analyzed for anticipated and emergent themes using the constant comparative method including searches for disconfirming evidence.

RESULTS

Some oncologists considered GEP to be a tool that enhanced confidence in their established approach to risk assessments, whereas others described it as "critical" to resolving their uncertainty about whether to recommend chemotherapy. Some community oncologists also valued the test in interpreting what they considered variable practice and accuracy across pathology reports and testing facilities. However, concerns were also raised about GEP's cost, overuse, inappropriate use, and over-reliance on the results within the medical community. In addition, although many oncologists said it was simple to explain the test to patients, paradoxically, they remained uncertain about patients' understanding of the test results and their treatment implications.

CONCLUSIONS

Oncologists valued the test as a treatment-decision support tool despite their concerns about its cost, over-reliance, overuse, and inappropriate use by other oncologists, as well as patients' limited understanding of GEP. The results identify a need for decision aids to support patients' understanding and clinical practice guidelines to facilitate standardized use of the test.

BACKGROUND

Determining the likely benefit of adjuvant chemotherapy for early-stage breast cancer patients depends on estimating baseline recurrence risk. Gene expression profile (gep) testing of tumours informs risk prediction, but evidence of its clinical utility is limited. We explored patient perceptions of gep testing and the impact of those perceptions on chemotherapy decisions.

METHODS

We conducted one focus group (n = 4) and individual interviews (n = 24) with patients who used gep testing, recruited through clinics at two hospitals in Ontario. Data were analyzed using content analysis and constant comparison techniques.

RESULTS

Patients' understanding of gep testing was variable, and misapprehensions were common. Patients valued the test because it provided them with certainty amidst confusion, with options and a sense of empowerment, and with personalized, authoritative information. They commonly believed that the test was better and fundamentally different from other clinical tests, attributing to it unique power and truth-value. This kind of "magical thinking" was derived from an amplified perception of the test's validity and patients' need for reassurance about their treatment choices. Despite misperceptions or magical thinking, gep was widely considered to be the deciding factor in treatment decisions.

CONCLUSIONS

Patients tend to overestimate the truth-value of gep testing based on misperceptions of its validity. Our results identify a need to better support patient understanding of the test and its limitations. Findings illustrate the deep emotional investment patients make in gep test results and the impact of that investment on their treatment decisions.

BACKGROUND

Gene expression profiling (GEP) via microarray analysis is a widely used tool for assessing risk and other patient diagnostics in clinical settings. However, non-biological factors such as systematic changes in sample preparation, differences in scanners, and other potential batch effects are often unavoidable in long-term studies and meta-analysis. In order to reduce the impact of batch effects on microarray data, Johnson, Rabinovic, and Li developed ComBat for use when combining batches of gene expression microarray data. We propose a modification to ComBat that centers data to the location and scale of a pre-determined, 'gold-standard' batch. This modified ComBat (M-Combat) is designed specifically in the context of meta-analysis and batch effect adjustment for use with predictive models that are validated and fixed on historical data from a 'gold-standard' batch.

RESULTS

We combined data from MIRT across two batches ('Old' and 'New' Kit sample preparation) as well as external data sets from the HOVON-65/GMMG-HD4 and MRC-IX trials into a combined set, first without transformation and then with both ComBat and M-ComBat transformations. Fixed and validated gene risk signatures developed at MIRT on the Old Kit standard (<em>GEP</em>5, <em>GEP</em>70, and <em>GEP</em>80 risk scores) were compared across these combined data sets. Both ComBat and M-ComBat eliminated all of the differences among probes caused by systematic batch effects (over 98% of all untransformed probes were significantly different by ANOVA with 0.01 q-value threshold reduced to zero significant probes with ComBat and M-ComBat). The agreement in mean and distribution of risk scores, as well as the proportion of high-risk subjects identified, coincided with the 'gold-standard' batch more with M-ComBat than with ComBat. The performance of risk scores improved overall using either ComBat or M-Combat; however, using M-ComBat and the original, optimal risk cutoffs allowed for greater ability in our study to identify smaller cohorts of high-risk subjects.

CONCLUSIONS

M-ComBat is a practical modification to an accepted method that offers greater power to control the location and scale of batch-effect adjusted data. M-ComBat allows for historical models to function as intended on future samples despite known, often unavoidable systematic changes to gene expression data.

Galpha(12), the alpha-subunit of G12, which has been referred to as the gep oncogene, stimulates mitogenic pathways in different cell types and readily induces neoplastic transformation of fibroblast cell lines. Recently, we have shown that the oncogenic pathway activated by Galpha(12) involves the receptor tyrosine kinase platelet derived growth factor receptor-alpha (PDGFRalpha) and JAK3. In the present study, we demonstrate that the GTPase-deficient activated mutant of Galpha(12) activates signal transducer and activator of transcription 3 (STAT3) via PDGFRalpha as well as JAK3. Here we show that Galpha(12) stimulates the phosphorylation of STAT3 at both Tyrosine-705 and Serine-727 residues. Studies to delineate the mechanism by which Galpha(12) stimulates STAT3 have indicated that the Tyrosine-705-phosphorylation of STAT3 involves the tyrosine kinases, Janus Kinase-3 as well as Src kinase, whereas the Serine-727 phosphorylation of STAT3 occurs via the receptor tyrosine kinase, PDGFRalpha and phosphatidylinositol 3-OH kinase pathway. Our results also indicate that the coexpression of the dominant negative, DNA binding mutant of STAT3 (STAT3DB) inhibits the foci formation as well as anchorage-independent growth of Galpha(12)QL-transfectants, thereby establishing the critical role of STAT3 in Galpha(12)QL-mediated neoplastic cell growth. The results presented here demonstrate, for the first time, the ability of Galpha(12) to recruit multiple receptor-, nonreceptor-, and Ser/Thr kinases to stimulate STAT3-signaling to promote neoplastic transformation.

Granulin-epithelin precursor (GEP) overexpression has been shown in many cancers with functional role on growth, and recently on regulating chemoresistance and cancer stem cell (CSC) properties. Here, we investigate the combined effect of GEP antibody and chemotherapeutic agent. Combination therapy was compared with monotherapy using hepatocellular carcinoma (HCC) cells in vitro and orthotopic liver tumor models in vivo. CD133 and related hepatic CSC marker expressions were investigated by flow cytometry. Antiproliferative and apoptotic effects and signaling mechanisms were examined by immunohistochemistry, flow cytometry, and Western blot analysis. Secretory GEP levels in the serum and culture supernatant samples were measured by ELISA. We demonstrated that HCC cells that survived under chemotherapeutic agents showed upregulation of hepatic CSC markers CD133/GEP/ABCB5, and enhanced colony and spheroid formation abilities. Importantly, GEP antibody sensitized HCC cells to the apoptosis induced by chemotherapy for both HCC cell lines and the chemoresistant subpopulations, and counteracted the chemotherapy-induced GEP/ABCB5 expressions and Akt/Bcl-2 signaling. In human HCC orthotopic xenograft models, GEP antibody treatment alone was consistently capable of inhibiting the tumor growth. Notably, combination of GEP antibody with high dose of cisplatin resulted in the eradication of all established intrahepatic tumor in three weeks. This preclinical study demonstrated that GEP antibody sensitized HCC cells to apoptosis induced by chemotherapeutic agents. Combination treatment with GEP antibody and chemotherapeutic agent has the potential to be an effective therapeutic regimen for GEP-expressing cancers.

Background: The introduction of immunomodulatory agents, proteasome inhibitors, and autologous haematopoietic stem-cell transplantation has improved outcomes for patients with multiple myeloma, but patients with high-risk multiple myeloma have a poor long-term prognosis. We aimed to address optimal treatment for these patients.

Methods: SWOG-1211 is a randomised phase 2 trial comparing eight cycles of lenalidomide (25 mg orally on days 1-14 every 21 days), bortezomib (1·3 mg/m² subcutaneously on days 1, 4, 8, and 11 every 21 days), and dexamethasone (20 mg orally on days 1, 2, 4, 5, 8, 9, 11, and 12 every 21 days; RVd) induction followed by dose-attenuated RVd maintenance (bortezomib 1 mg/m² subcutaneously on days 1, 8, and 15; lenalidomide 15 mg orally on days 1-21; dexamethasone 12 mg orally on days 1, 18, and 15 every 28 days) until disease progression with or without elotuzumab (10 mg/kg intravenously on days 1, 8, and 15 for cycles 1-2, on days 1 and 11 for cycles 3-8, and on days 1 and 15 during maintenance). Patients were randomly assigned (1:1) to either RVd or RVd-elotuzumab. High-risk multiple myeloma was defined by one of the following: gene expression profiling high risk (GEP^hi), t(14;16), t(14;20), del(17p) or amp1q21, primary plasma cell leukaemia and elevated serum lactate dehydrogenase (two times the upper limit of normal or more). The primary endpoint was progression-free survival, and all analyses were done on intention-to-treat basis among eligible patients who were evaluable for response. This study is registered with ClinicalTrials.gov, NCT01668719.

Findings: 100 (RVd n=52, RVd-elotuzumab n=48) patients were enrolled between Oct 27, 2013, and May 15, 2016, across 26 cooperative group institutions in the USA. Median age was 64 years (IQR 57-70, range 36-85). 74 (75%) of 99 had International Staging System stage II or stage III disease, 47 (47%) of 99 had amp1q21, 37 (37%) of 100 had del17p, 11 (11%) of 100 had t(14;16), eight (9%) of 90 were GEP^hi, seven (7%) of 100 had primary plasma cell leukaemia, five (5%) of 100 had t(14;20), four (4%) of 100 had elevated serum lactate dehydrogenase, and 17 (17%) had two or more features. With a median follow-up of 53 months (IQR 46-59), no difference in median progression-free survival was observed (RVd 33·64 months [95% CI 19·55-not reached], RVd-elotuzumab 31·47 months [18·56-53·98]; hazard ratio 0·968 [80% CI 0·697-1·344]; one-sided p=0·45]. 37 (71%) of 52 patients in the RVd group and 37 (77%) of 48 in the RVd-elotuzumab group had grade 3 or worse adverse events. No significant differences in the safety profile were observed, although some notable results included grade 3-5 infections (four [8%] of 52 in the RVd group, eight [17%] of 48 in the RVd-elotuzumab group), sensory neuropathy (four [8%] of 52 in the RVd group, six [13%] of 48 in the RVd-elotuzumab group), and motor neuropathy (one [2%] of 52 in the RVd group, four [8%] of 48 in the RVd-elotuzumab group). There were no treatment-related deaths in the RVd group and one death in the RVd-elotuzumab group for which study treatment was listed as possibly contributing by the investigator.

Interpretation: In the first randomised study of high-risk multiple myeloma reported to date, the addition of elotuzumab to RVd induction and maintenance did not improve patient outcomes. However, progression-free survival in both study groups exceeded the original statistical assumptions and supports the role for continuous proteasome inhibitors and immunomodulatory drug combination maintenance therapy for this patient population.

Funding: National Institutes of Health, National Cancer Institute, Bristol Myers Squibb, Celgene, Leukemia and Lymphoma Society.

The objective of this study was to investigate and present the early results on the efficacy, safety, and quality of life of ²²⁵Ac-DOTATATE targeted alpha therapy (TAT) in patients with advanced, progressive, ¹⁷⁷Lu-DOTATATE refractory, and somatostatin receptor (SSTR) expressing metastatic GEP-NETs.

In this prospective study, we recruited patients with metastatic GEP-NETs who were stable or progressive disease on ¹⁷⁷Lu-DOTATATE therapy. Systemic TAT using ²²⁵Ac-DOTATATE was performed in all the patients with ²²⁵Ac-DOTATATE (100 kBq/kg body weight) at an interval of 8 weeks. The primary end point was to assess the objective response (measured by RECIST 1.1 and functional M.D. Anderson criteria). The secondary end points included biochemical response assessment as per the Italian Trials in Medical Oncology (ITMO), adverse event profile as per CTCAE v5.0, and clinical response assessment by the quality of life (assessed with EORTC QLQ-GI.NET21 patient-based questionnaire).

Between April 2018 and March 2019, 32 patients (17 females, 15 males, mean age 52 ± 9.2 years, 35-72 years) with either stable disease after completing ¹⁷⁷Lu-DOTATATE therapy (14, 44%) or progressive disease on ¹⁷⁷Lu-DOTATATE therapy (18, 56%) were included in the study. The morphological response was assessed in 24/32 patients that revealed partial remission in 15 and stable disease in 9. There was no documented disease progression or deaths in the median follow-up of 8 months (range 2-13 months). There was a significant decrease in the plasma chromogranin level post-²²⁵Ac-DOTATATE therapy (P < 0.0001).

Our short-term clinical results indicate ²²⁵Ac-DOTATATE TAT as a promising treatment option which adds a new dimension in patients who are refractory to ¹⁷⁷Lu-DOTATATE therapy or have reached the maximum prescribed cycles of ¹⁷⁷Lu-DOTATATE therapy.

Endocrine glands are well vascularised and the structure of their vessels facilitates the exchange of various substances, including hormones. These glands are a frequent experimental model in research on VEGF and angiogenesis. VEGF participates in the pathogenesis of diabetes. Diabetic nephropathy is in essence a microvascular disease that develops as a result of a confluence of haemodynamic and metabolic perturbations. Diabetic retinopathy is the commonest microvascular complication of diabetes mellitus and is the leading cause of blindness. In diabetic retinopathy, ischaemic states, and hence tissue hypoxia and angiogenesis, take place. The participation of angiogenesis and VEGF in the pathogenesis of neoplastic disease has been described in many papers. VEGF protein and mRNA have been found in cancers of the thyroid, bronchus, lungs, oesophagus, stomach, colon, liver, breast, ovary, uterus, kidney, and urinary bladder, and in malignant tumours of the brain and bone. There have been many reports of the connections between the degree of VEGF expression and tumour aggression and prognosis in patients. Richly vascularised are GEP NET. In neuroendocrine tumours, strong expression of VEGF, Flt-1 and KDR in relation to the unchanged surrounding tissues has been demonstrated. Depending on the disease entity or the degree of its severity, attempts to apply angiogenic and antiangiogenic therapy have being made. Antiangiogenic therapy (usually regarded as a form of cancer therapy) is based on: 1. inhibitory effects of proangiogenic ligands and their receptors; 2. stimulation or delivery of angiogenesis inhibitors; and 3. direct destruction of neoplastic tumour vasculature.

Nuclear factor-κB (NF-κB) is a transcription factor with a well-described oncogenic role. Study for each of five NF-κB pathway subunits was only reported on small cohorts in diffuse large B-cell lymphoma (DLBCL). In this large cohort (n=533) of patients with de novo DLBCL, we evaluated the protein expression frequency, gene expression signature, and clinical implication for each of these five NF-κB subunits. Expression of p50, p52, p65, RELB, and c-Rel was 34%, 12%, 20%, 14%, and 23%, whereas p50/p65, p50/c-Rel, and p52/RELB expression was 11%, 11%, and 3%, respectively. NF-κB subunits were expressed in both germinal center B-cell-like (GCB) and activated B-cell-like (ABC) DLBCL, but p50 and p50/c-Rel were associated with ABC-DLBCL. p52, RELB, and p52/RELB expressions were associated with CD30 expression. p52 expression was negatively associated with BCL2 (B-cell lymphoma 2) expression and BCL2 rearrangement. Although p52 expression was associated with better progression-free survival (PFS) (P=0.0170), singular expression of the remaining NF-κB subunits alone did not show significant prognostic impact in the overall DLBCL cohort. Expression of p52/RELB was associated with better overall survival (OS) and PFS (P=0.0307 and P=0.0247). When cases were stratified into GCB- and ABC-DLBCL, p52 or p52/RELB dimer expression status was associated with better OS and PFS (P=0.0134 and P=0.0124) only within the GCB subtype. However, multivariate analysis did not show p52 expression to be an independent prognostic factor. Beneficial effect of p52 in GCB-DLBC appears to be its positive correlation with CD30 and negative correlation with BCL2 expression. Gene expression profiling (GEP) showed that p52(+) GCB-DLBCL was distinct from p52(-) GCB-DLBCL. Collectively, our data suggest that DLBCL patients with p52 expression might not benefit from therapy targeting the NF-κB pathway.

A collaborative work was carried out by the Spanish and Portuguese International Society for Forensic Genetics Working Group in order to extend the existing data on Y-short tandem repeat (STR) mutations at the 17 Y chromosome STR loci included in the AmpFlSTR YFiler kit (Applied Biosystems): DYS19, DYS385, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, and GATA H4.1. In a sample of 701 father/son pairs, 26 mutations were observed among 11,917 allele transfers across the 17 loci. After summing previously reported mutation data with our sample, mutation rates varied between 4.25 x 10(-4) (95% CI 0.05 x 10(-3)-1.53 x 10(-3)) at DYS438 and 6.36 x 10(-3) (95% CI 2.75 x 10(-3)-12.49 x 10(-3)) at DYS458. All mutations were single step, and mutations in the same father/son pair were found twice.

BACKGROUND

Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environmental cues is crucial in explaining how cells cope with stress. For example, adaptation of yeast to heat shock involves a characteristic profile of changes to the expression levels of genes coding for enzymes of the glycolytic pathway and some of its branches. The experimental determination of changes in gene expression profiles provides a descriptive picture of the adaptive response to stress. However, it does not explain why a particular profile is selected for any given response.

RESULTS

We used mathematical models and analysis of in silico gene expression profiles (GEPs) to understand how changes in gene expression correlate to an efficient response of yeast cells to heat shock. An exhaustive set of GEPs, matched with the corresponding set of enzyme activities, was simulated and analyzed. The effectiveness of each profile in the response to heat shock was evaluated according to relevant physiological and functional criteria. The small subset of GEPs that lead to effective physiological responses after heat shock was identified as the result of the tuning of several evolutionary criteria. The experimentally observed transcriptional changes in response to heat shock belong to this set and can be explained by quantitative design principles at the physiological level that ultimately constrain changes in gene expression.

CONCLUSIONS

Our theoretical approach suggests a method for understanding the combined effect of changes in the expression of multiple genes on the activity of metabolic pathways, and consequently on the adaptation of cellular metabolism to heat shock. This method identifies quantitative design principles that facilitate understating the response of the cell to stress.

Despite the high cure rate in classical Hodgkin lymphoma (CHL), more accurate tailoring of upfront treatment is required to maximize cure while avoiding unnecessary short- and long-term treatment side effects. To this end, the unique tumor microenvironment of CHL has been searched extensively for prognostic biomarkers. Beyond targeted immunohistochemistry (IHC) studies, gene expression profiling (GEP) of diagnostic whole tissue biopsies has allowed a de novo approach to biomarker discovery. Among numerous candidate biomarkers, an association between the number of tumor-associated macrophages in the microenvironment and outcomes after ABVD (doxorubicin + bleomycin + vinblastine + dacarbazine) chemotherapy emerged, and multiple subsequent studies have validated this biological relationship using IHC. These studies have also defined key aspects for macrophage interrogation, including the characteristics of the CD68 and CD163 antibodies, appropriate scoring methodologies, and the identification of specific patient populations in which macrophage IHC may not be prognostic. The GEP studies also led to the development of gene expression-based prognostic models for advanced-stage CHL, with new technologies allowing reliable gene expression quantitation using RNA from routinely produced formalin-fixed paraffin-embedded biopsies. The bridge to predictive biomarkers that can be used reliably to inform upfront treatment selection requires further studies to demonstrate that these biomarkers can identify robustly, at diagnosis, patients at high risk of treatment failure with ABVD and that this risk may be overcome using alternative treatments.

The use of somatostatin (SS) analogues in humans takes advantage by the availability of many related chemical forms that can be used for receptor therapy and, after radiolabelling, for diagnostic imaging and radionuclide therapy. The first proposed radiocompound, yet clinically widely diffuse, has been (111)In-octreotide (OCT), followed by positron emission tomography (PET) and beta emitter tracers. The main field of clinical applications is in neuroendocrine tumours (NET), starting by the demonstration of SS receptors (SSR) on the majority of NET, particularly on gastroenteropancreatic (GEP) tumours. Uptake of SS analogues can also be due to a SSR expression on non malignant cells when activated, as lymphocytes, macrophages, fibroblasts , vascular cells. Because of this uptake clinical indications can be found also in active benign diseases, as Grave's ophthalmopathy, rheumatoid arthritis, histiocitosis, sarcoidosis, idiopatic pulmonary fibrosis. Moreover, these cells can also determine the OCT in vivo uptake in tumours non expressing in vitro SSR, as non-snall cell lung cancer (NSCLC). Because of a different kinetic respect to SCLC a differential histotype diagnosis could be obtained. Starting from this premise OCT can also allows radioguided surgery in tumours non expressing SSR. Finally a relevant clinical role can be defined in the a priori recruitment and as marker of therapeutic efficacy in all the therapeutic strategies utilizing SSR, both in malignant and benign diseases.

The classification of lymphoid malignancies has evolved from a purely morphological scheme to the current WHO (World Health Organization) classification, which takes into consideration histological, immunophenotypic, genetic and clinical information. DNA microarray technology enables the simultaneous determination of the expression levels for thousands of genes (gene expression profile; GEP) and provides a powerful approach for investigating lymphoma biology and improving disease classification. Distinct molecular signatures for many lymphomas, as well as novel lymphoma subtypes have been identified. Molecular prognosticators have also been constructed. Many of the molecular subgroups of lymphoma also show distinct patterns of genetic abnormalities. We also briefly review the application of other genome-wide techniques to the study of lymphomas, such as high resolution array comparative genomic hybridization (aCGH) and next-generation sequencing, and how these technologies will complement each other in improving our understanding of the pathobiology of lymphoma. Specific therapeutic targets will likely emerge from the increased insight into the molecular pathogenesis of the different lymphomas, thus illustrating the utility of these global studies in advancing disease management strategies.

BACKGROUND

Although gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) exhibit widely divergent behavior, limited biologic information (apart from Ki-67) is available to characterize malignancy. Therefore, the identification of alternative biomarkers is a key unmet need. Given the role of internexin alpha (INA) in neuronal development, the authors assessed its function in neuroendocrine cell systems and the clinical implications of its expression as a GEP-NEN biomarker.

METHODS

Functional assays were undertaken to investigate the mechanistic role of INA in the pancreatic BON cell line. Expression levels of INA were investigated in 50 pancreatic NENs (43 primaries, 7 metastases), 43 small intestinal NENs (25 primaries, 18 metastases), normal pancreas (n = 10), small intestinal mucosa (n = 16), normal enterochromaffin (EC) cells (n = 9), mouse xenografts (n = 4) and NEN cell lines (n = 6) using quantitative polymerase chain reaction, Western blot, and immunostaining analyses.

RESULTS

In BON cells, decreased levels of INA messenger RNA and protein were associated with the inhibition of both proliferation and mitogen-activated protein kinase (MAPK) signaling. INA was not expressed in normal neuroendocrine cells but was overexpressed (from 2-fold to 42-fold) in NEN cell lines and murine xenografts. In pancreatic NENs, INA was overexpressed compared with pancreatic adenocarcinomas and normal pancreas (27-fold [P = .0001], and 9-fold [P = .02], respectively). INA transcripts were correlated positively with Ki-67 (correlation coefficient [r] = 0.5; P < .0001) and chromogranin A (r = 0.59; P < .0001). INA distinguished between primary tumors and metastases (P = .02), and its expression was correlated with tumor size, infiltration, and grade (P < .05).

CONCLUSIONS

INA is a novel NEN biomarker, and its expression was associated with MAPK signaling and proliferation. In clinical samples, elevated INA was correlated with Ki-67 and identified malignancy. INA may provide additional biologic information relevant to delineation of both pancreatic NEN tumor phenotypes and clinical behavior.