Publications by authors named "Sijia Shi"

Herein, we report a rhodium-catalyzed C-H activation/[4+2] cyclization reaction between α,β-unsaturated amides and iodonium ylides for the synthesis of novel 7,8-dihydroquinoline-2,5-diones and analogues. This protocol provides a series of pyridones fused with saturated cycles with good functional group compatibility, good water and air tolerance, and good to excellent yields under mild and green reaction conditions. Additionally, scale-up synthesis can be smoothly performed with as low as 0.

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Background: Metabolic reprogramming is implicated in cancer progression. However, the impact of metabolism-associated genes in stomach adenocarcinomas (STAD) has not been thoroughly reviewed. Herein, we characterized metabolic transcription-correlated STAD subtypes and evaluated a metabolic RiskScore for evaluation survival.

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Herein, we report a rare example of rhodium-catalyzed C-H activation/[4 + 2] annulation of alkenyl amides with bicyclic alkenes under mild and green conditions. The reactivity of the rhodium catalyst in this study differed from that observed in cobalt-catalyzed C-H activation/[3 + 2] annulation between vinylic amides and bicyclic alkenes. In addition, the reaction was performed in EtOH at room temperature, which also displayed excellent diastereoselectivity, good functional group tolerance, and air compatibility.

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Synopsis of recent research by authors named "Sijia Shi"

  • - Sijia Shi's research primarily focuses on the development of rhodium-catalyzed reactions for the efficient synthesis of complex organic compounds, including 7,8-dihydroquinoline-2,5-diones and other derivatives through C-H activation methods.
  • - Recent studies also explore the characterization of metabolic subtypes in stomach adenocarcinoma (STAD), highlighting the role of metabolism-related genes in cancer progression and survival prognosis.
  • - The findings from these studies emphasize the effectiveness of mild and environmentally friendly reaction conditions in organic synthesis, as well as the potential for utilizing metabolic profiles to inform cancer treatment strategies.