The prognosis analysis of gastric cancer is critical for selection of treatments and development of advanced therapeutic methods. A prognosis approach that is accurate, fast, convenient, and of low cost for gastric cancers is in high demand. Raman spectroscopy is a label-free and non-destructive technique to provide molecular fingerprints of biological samples, holding promises for cancer prognosis. However, the major challenge of gastric cancer prognosis lies in the widely existing tumor heterogeneity, which leads to unexpected spectral variations within one type of samples. In this work, we have developed the Euclidean distance (ED)-based Raman spectroscopy (EDRS) method for the prognosis analysis of gastric cancer to eliminate the influence of tumor heterogeneity. Raman spectra were first collected on the slices of paraffin-preserved tumor tissues from gastric cancer patients. A standard spectrum to represent the ‘worst prognostic tumor cells’ was then established. The similarity between each spectrum of tissues and the standard spectrum was assessed by ED, to provide a direct assessment on the prognosis status. We have successfully classified the patients into poor and favorable prognosis groups, either based on the averaged regional ED values (sensitivity of 75 %, specificity of 96.8 %), or based on the minimal ED values at the patient level (sensitivity of 90 %, specificity of 100 %). EDRS was also investigated for survival analysis (AUC = 0.955), much better than the commonly applied post-neoadjuvant therapy (ypTNM) category (AUC = 0.718). Our work highlights EDRS as a rapid, accurate, low-cost and robust tool for heterogeneous cancer-related prognosis assessment and survival prediction, providing new insights for spectroscopic tumor analysis.
Detection of an ultralow concentration of mRNA is important in the prognosis of gene-related diseases. In this study, a DNA-conjugated amphiphilic aggregation-induced emission probe (TPE-R-DNA) was synthesized for cancer tissue imaging and prognosis analysis based on an exonuclease III-aided target recycling technique. TPE-R-DNA comprise two components: a hydrophobic component that serves as the “turn-on” long wavelength fluorescence imaging agent (TPE-R-N3); and a hydrophilic single DNA strand (Alk-DNA) which acts as specific recognition part for target mRNA. In the absence of target mRNA, TPE-R-DNA had almost no fluorescence because of its high water solubility. Conversely, the TPE-R-DNA was digested by exonuclease III (Exo III) in the presence of MnSOD mRNA to release the hydrophobic fluorogens (TPE-R-AT). Subsequently, TPE-R-AT formed aggregates, and therefore, fluorescence signal was distinctly observed. For the first time, the structure of the hydrolysis product (TPE-R-AT), containing two bases A and T, was proved by the mass spectrum (MS) and high-performance liquid chromatography (HPLC). Moreover, the detection limit toward mRNA could be achieved in as low as 0.6 pM. Furthermore, the fluorescent signal can be used to confirm the MnSOD mRNA expression level in cancer tissue. The MnSOD mRNA expression in renal cancer was lower than in renal cancer adjacent tissue. In particular, the expression level was analyzed to predict prognosis of cancer patients. Our results demonstrate that a shorter survival time was evident among patients in lower MnSOD mRNA expression. Thereby, it indicates great potential for the development of an ultrasensitive biosensing platform for the application in disease prognosis.
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