BACKGROUND Chromogranin A (CgA), neuron specific enolase (NSE), carcinoembryonic antigen (CEA), and urinary 5‐hydroxyindole‐3‐acetic acid (5‐HIAA) are the markers currently used in the diagnosis, prognosis, and follow‐up of patients with neuroendocrine tumors (NETs). The authors examined the role of such biomarkers in a large series of patients with NETs. METHODS One hundred and twenty‐seven patients entered the study. Multiple blood and 24‐hour urine specimens were assayed for biomarker quantitation. RESULTS The accuracy of each marker was assessed in patients with (n = 106) and without (n = 21) disease. CgA proved to be the best marker (specificity of 85.7% and sensitivity of 67.9%). Patients with disease had significantly higher CgA and NSE levels compared with disease free patients (P = 0.00003 and P = 0.00240, respectively). NSE and 5‐HIAA determination showed a very high specificity (100%) but a rather low sensitivity (32.9% and 35.1%, respectively). CEA was found to have little diagnostic value (sensitivity of 15.4%). CgA was the most sensitive marker for detecting patients with disseminated disease and 5‐HIAA displayed the highest sensitivity in identifying syndromic patients. Tumor marker modifications were studied during follow‐up. In particular, rises in CgA were associated with progressive disease in 83.3% of cases and stable CgA was associated with stable disease in 53.8% of cases. The relation between CgA modifications and liver lesions during follow‐up also was studied; increases in CgA levels were associated with local progression in 100% of cases and stable marker levels were found in 68.7% of the patients with unchanged lesions. CONCLUSIONS The results of the current study demonstrate that CgA has the highest accuracy and is the most reliable biomarker reflecting the clinical evolution of NETs. Cancer 1999;86:858–65. © 1999 American Cancer Society.

Even if wild-type and-negative metastatic colorectal cancer (mCRC) patients frequently respond to anti-EGFR mAbs, acquired resistance almost invariably occurs. Mechanisms of resistance to EGFR blockade include the emergence of ,, and extracellular domain mutations as well as alterations. However, these findings derive from retrospective studies that analyzed one single resistance mechanism at a time; moreover, it is still unclear how molecular heterogeneity affects clonal evolution in patients. In this work, we aimed at extensively characterizing and correlating the molecular characteristics of tissue- and blood-based data in a prospective cohort of patients with mCRC who received anti-EGFR antibodies. Twenty-two - wild-type, -negative mCRC patients progressing on anti-EGFR therapy after initial response underwent rebiopsy. Next-generation sequencing and silver hybridization (SISH)/IHC analyses were performed both on archival tumors and postprogression samples. Circulating tumor (ctDNA) molecular profiles were obtained in matched tissue-plasma samples. mutations and amplification were the most frequently detected resistance mechanisms in both tissue and blood sample analysis. On the other hand, and ectodomain mutations were much rarer. Patients with acquired amplification showed worse PFS on anti-EGFRs. We detected both intralesion heterogeneity, as suggested by co-occurrence of different resistance mechanisms in the same sample, and interlesion heterogeneity. The combined analysis of tissue and blood (ctDNA) results highlights the complexity of clonal evolution triggered by EGFR blockade. Our results indicate that it may be extremely challenging to target the complex landscape of molecular heterogeneity associated with emergence of resistance to targeted therapies in patients with mCRC. .

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Ret oncoproteins represent exploitable targets for therapeutic intervention in MEN2A-associated medullary thyroid carcinoma. The antitumor efficacy and oral bioavailability of RPI-1 support its therapeutic potential.

CgA was confirmed to be the best tumour marker currently available for identifying patients suffering from NETs of the GEP system, lung carcinoids and neuroblastomas. CgA evaluation is recommended in the follow-up of patients with such tumours.

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Background: Beyond programmed death ligand 1 (PD-L1), no other biomarkers for immunotherapy are used in daily practice. We previously created EPSILoN (Eastern Cooperative Oncology Group performance status (ECOG PS), smoking, liver metastases, lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR)) score, a clinical/biochemical prognostic score, in 154 patients treated with second/further-line immunotherapy. This study’s aim was to validate EPSILoN score in a different population group. Methods: 193 patients were included at National Cancer Institute of Milan (second-line immunotherapy, 61%; further-line immunotherapy, 39%). Clinical/laboratory parameters such as neutrophil-to-lymphocyte ratio and lactate dehydrogenase levels were collected. Kaplan–Meier and Cox hazard methods were used for survival analysis. Results: Overall median progression-free survival and median overall survival were 2.3 and 7.6 months, respectively. Multivariate analyses for Progression-Free Survival (PFS) identified heavy smokers (hazard ratio (HR) 0.71, p = 0.036) and baseline LDH < 400 mg/dL (HR 0.66, p = 0.026) as independent positive factors and liver metastases (HR 1.48, p = 0.04) and NLR ≥ 4 (HR 1.49, p = 0.029) as negative prognostic factors. These five factors were included in the EPSILoN score which was able to stratify patients in three different prognostic groups, high, intermediate and low, with PFS of 6.0, 3.8 and 1.9 months, respectively (HR 1.94, p < 0.001); high, intermediate and low prognostic groups had overall survival (OS) of 24.5, 8.9 and 3.4 months, respectively (HR 2.40, p < 0.001). Conclusions: EPSILoN, combining five baseline clinical/blood parameters (ECOG PS, smoking, liver metastases, LDH, NLR), may help to identify advanced non-small-cell lung cancer (aNSCLC) patients who most likely benefit from immune checkpoint inhibitors (ICIs).

Normal CA125 correlated to the likelihood to achieve adequate CRS, which is a significant prognostic factor for PMP. Increased baseline CA19.9 was an independent predictor of worse PFS after CRS and HIPEC.