Exploring Molecular Mechanisms in the Second-Line Treatment of Biliary Tract Malignant Tumors.

Biliary tract malignant tumors account for about 3% of gastrointestinal malignancies. Based on anatomical location, biliary tract malignant tumors can be divided into gallbladder carcinoma, intrahepatic cholangiocarcinoma (ICC), hilar cholangiocarcinoma, and distal cholangiocarcinoma. Surgical treatment is the main treatment for early-stage biliary malignant tumors, the insidious nature of the disease often leads to late diagnoses, causing many patients missing the window for surgical intervention. Gemcitabine combined with cisplatin serves as a first-line treatment for patients with advanced or unresectable lesions, however, a definitive standard for second-line treatment has not yet been established. In recent years, many advances have occurred in the study of the molecular mechanisms contributing to the occurrence and development of biliary malignancies, providing a foundation for targeted treatments of the disease. This review summarizes the existing literature and explores potential second-line treatment options for advanced biliary malignancies based on our understanding of the molecular pathogenesis and tumor pathology.

[Using Fourier transform to analyse differential optical absorption spectrum].

According to the theory of differential optical absorption spectral technique, the differential optical absorption spectral monitoring equipment was designed. Aiming at two kinds of main pollutants, SO2 and NO2, in the atmosphere, this technique was used to monitor them. The present article puts forward the signal analysis method of Fourier transformation to process the above-mentioned two kinds of absorption spectra. The two approaches contain the removeal of noise and the fitting of the slow variety. On the frequency chart after the spectrum was transformed, the low frequency corresponded to the slow variety part and the high frequency corresponded to the noise part of the original spectrum, so through intercepting a certain frequency segment and using inverse Fourier transformation the slow variety part of the low frequency and the noise part of the high frequency of the absorption spectrum could be subtracted. After farther processing we can get a higher resolution differential absorption spectrum of the gas. According to the strength of the spectrum, we can calculate the concentration of the gas. After analysis and comparison with the conventional method, it is considered a new processing method of differential optical absorption spectral technique, and the method can fit the slow variety much better.

[Using Fourier transform to calculate gas concentration in DOAS].

Being an analysis tool of high sensitivity, high resolution, multicomponents, real-time and fast monitoring, the differential optical absorption spectrometry (DOAS) is becoming a new method in atmosphere pollution monitoring. In the DOAS technique, many gases spectra have periodicity evidently, such as those from SO2, NO, NH3 and NO2. Aiming at three kinds of main air-polluted gases, i.e., SO2, NO and NO2 in atmosphere, the DOAS technique is used to monitor them, and Fourier transform is used to analyse the above-mentioned absorption spectra. Under the condition of Hanning Windows, Fourier transforma is used to process various gases spectra which have periodicity. In the process, the value of the characteristic frequency has a linearity relation to the gas concentration. So a new analysis method of DOAS is proposed, which is utilizing the relation between the value of the characteristic frequency and the gas concentration to deduce a linearity formula to calculate the gas concentration. So the value of the characteristic frequency can be used to get the gas concentration. For the gases with evident spectrum periodicity, such as SO2 and NO, this method is good. But for some gases with periodicity not evident, the error in the calculated concentration is beyond the allowable value. So in this method, the important process is frequency separation. It is also the main part in the future study. In a word, this method frees itself from the basic theory in the DOAS technique, cuts down on the process of the concentration calculation and the spectral analysis, and deserves further study.