BACKGROUND: Currently, no effective measures are available to predict the curative efficacy of small-cell lung cancer (SCLC) chemotherapy. We expect to develop a method for effectively predicting the SCLC chemotherapy efficacy and prognosis in clinical practice in order to offer more pertinent therapeutic protocols for individual patients.
METHODS: We adopted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and ClinPro Tools system to detect serum samples from 154 SCLC patients with different curative efficacy of standard chemotherapy and analyze the different peptides/proteins of SCLC patients to discover predictive tumor markers related to chemotherapy efficacy. Ten peptide/protein peaks were significantly different in the two groups.
RESULTS: A genetic algorithm model consisting of four peptides/proteins was developed from the training group to separate patients with different chemotherapy efficacies. Among them, three peptides/proteins (m/z 3323.35, 6649.03 and 6451.08) showed high expression in the disease progression group, whereas the peptide/protein at m/z 4283.18 was highly expressed in the disease response group. The classifier exhibited an accuracy of 91.4% (53/58) in the validation group. The survival analysis showed that the median progression-free survival (PFS) of 30 SCLC patients in disease response group was 9.0 months; in 28 cases in disease progression group, the median PFS was 3.0 months, a statistically significant difference (χ2 = 46.98, P < 0.001). The median overall survival (OS) of the two groups was 13.0 months and 7.0 months, a statistically significant difference (χ2 = 40.64, P < 0.001).
CONCLUSIONS: These peptides/proteins may be used as potential biological markers for prediction of the curative efficacy and prognosis for SCLC patients treated with standard regimen chemotherapy.

Fusarium oxysporum f. sp. radicis-lycopersici (FORL) leading to fusarium crown and root rot is considered one of the most destructive tomato soilborne diseases occurring in greenhouse and field crops. In this study, response to FORL infection in tomato roots was investigated by differential proteomics in susceptible (Monalbo) and resistant (Momor) isogenic tomato lines, thus leading to identify 33 proteins whose amount changed depending on the pathogen infection, and/or on the two genotypes. FORL infection induced accumulation of pathogen-related proteins (PR proteins) displaying glucanase and endochitinases activity or involved in redox processes in the Monalbo genotype. Interestingly, the level of the above mentioned PR proteins was not influenced by FORL infection in the resistant tomato line, while other proteins involved in general response mechanisms to biotic and/or abiotic stresses showed significant quantitative differences. In particular, the increased level of proteins participating to arginine metabolism and glutathione S-transferase (GST; EC 2.5.1.18) as well as that of protein LOC544002 and phosphoprotein ECPP44-like, suggested their key role in pathogen defence.