Summary Nebulisation chemotherapy, a chemotherapeutic method for the treatment of lung cancer that involves the administration of anticancer agents through the inhalation of nebulised aerosols, has been found to be highly effective (Tatsumura et al., 1983a,b). We confirmed that 5-FU administered by this method accumulates in the trachea, bronchi and regional lymph nodes of patients treated before surgery, along with 5-FU metabolites, FUR and FUdR, indicating that 5-FU is directly incorporated and metabolised in the respiratory tract. Parallel result were obtained using mongrel dogs. The 5-FU levels in other organs, such as the heart and liver, were found to be extremely low. Only a trace of 5-FU was found in the serum of both the patients and the dogs. We further investigated the anti-tumour effect of this therapy in ten selected patients and observed a satisfactory anti-tumour response of 60.0%. These results, along with our previous finding that the retention time of isotope tracers inhaled as aerosol is considerably longer in tumour tissues than in normal parts (Tatsumura et al., 1983a) al., 1983a,b). The present study further supports the therapeutic value of this method and presents some data which help explain how this therapy works. Materials and methodsAdministration and analysis of 5-FU in mongrel dogs The concentrations of 5-FU and its metabolites, FUR and FUdR, in the tissues and sera were measured using a recently developed, high-performance liquid chromatographic (HPLC) method (Masuike et al., 1985).Eighteen mongrel dogs weighing 15.5-16.5 kg were used in the experiment. All dogs were anaesthetised with ketamine hydrochloride (Ketalar) (10-20 mg kg-') and atropine sulfate (0.03-0.04 mg kg-'). They were then intubated, mechanically ventilated, and given supplementary oxygen. Anaesthesia was maintained by an intravenous administration of pentobarbital (5-10 mg kg-'). The inhalant was prepared by mixing 5-FU (50 mg kg-') with expectorant, was nebulised by an ultrasonic nebuliser, and was then sent into the respiratory apparatus. Oxygen was supplied to the circuit at a rate of 2 1/min and ventilation was carried out at 100-150 ml min-' at 20 times/min. This circuit carried the aerosol to the bronchial trees at the alveolar level.Cardiac arrest was induced by an intravenous injection of KCI after each procedure. Tissue samples were collected after

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Background With the goal of discovering non-invasive biomarkers for early diagnosis of GC, we conducted a case-control study utilising urine samples from individuals with predominantly early GC vs. healthy control (HC). Methods Among urine samples from 372 patients, age- and sex-matched 282 patients were randomly divided into three groups: 18 patients in a discovery cohort; 176 patients in a training cohort and 88 patients in a validation cohort. Results Among urinary proteins identified in the comprehensive quantitative proteomics analysis, urinary levels of TFF1 (uTFF1) and ADAM12 (uADAM12) were significantly independent diagnostic biomarkers for GC, in addition to Helicobacter pylori status. A urinary biomarker panel combining uTFF1, uADAM12 and H. pylori significantly distinguished between HC and GC patients in both training and validation cohorts. On the analysis for sex-specific biomarkers, this combination panel demonstrated a good AUC of 0.858 for male GC, whereas another combination panel of uTFF1, uBARD1 and H. pylori also provided a good AUC of 0.893 for female GC. Notably, each panel could distinguish even stage I GC patients from HC patients (AUC = 0.850 for males; AUC = 0.845 for females). Conclusions Novel urinary protein biomarker panels represent promising non-invasive biomarkers for GC, including early-stage disease.

Since a fecal occult blood test for colorectal cancer (CRC) does not offer sufficient diagnostic power for CRC, novel non-invasive biomarkers are hopeful for CRC screening. We conducted the current study to discover non-invasive urinary biomarkers for diagnosing CRC. Among urine samples from 258 patients (CRC, n = 148; healthy controls, n = 110), a cohort of 176 patients composed of 88 patients with GC and 88 healthy controls was selected after age- and sex-matching using propensity score. This cohort was then randomly divided into 2 groups: 53 pairs (106 patients) in the training cohort, and 35 pairs (70 patients) in the validation cohort. No significant differences were found for baseline characteristics between the CRC and healthy control groups in both training and validation cohorts. On multivariate analysis in the training cohort, urinary levels of cysteine-rich protein 61 (uCyr61) and trefoil factor 3 (uTFF3) were identified as independent significant diagnostic markers for CRC. Moreover, uCyr61 alone and the combination of uCyr61 and uTFF3 allowed significant differentiation between healthy controls and CRC groups in the training set (uCyr61: area under the curve (AUC) = 0.745 [95% CI, 0.653–0.838]; uCyr61 + uTFF3: AUC = 0.753 [95% CI, 0.659–0.847]). In the validation cohort, uCyr61 and uTFF3 were significantly higher in the CRC group than in the healthy control group, and they also allowed significant differentiation between healthy control and CRC groups (uCyr61: AUC = 0.696 [95% CI, 0.571–0.822]; uTFF3: AUC = 0.639 [95% CI, 0.508–0.770]; uCyr61 + uTFF3: AUC = 0.720 [95% CI, 0.599–0.841]), as in the training cohort. A panel combining uCyr61 and uTFF3 offers a promising non-invasive biomarker for diagnosing CRC.