Exploring the macromolecules for secretory pathway in cancer disease

Selvaraj, Chandrabose; Panwar, Umesh; Ramalingam, K.; Vijayakumar, Rajendran

doi:10.1016/bs.apcsb.2022.10.003

Cited by 5 publications

(3 citation statements)

References 86 publications

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“…Having a deep understanding of how molecules behave at the atomic level has had a significant influence on the pharmaceutical, biotechnology, and chemical sectors ( De Vivo et al 2016 ). In various scientific disciplines such as chemistry, physics, materials science, and biology, it is essential to thoroughly examine and comprehend the behaviour, structure, and interactions of atoms and molecules ( Selvaraj et al 2023 ). In particular, researchers are uncovering novel enzyme structures using different experimental and computational techniques.…”

Section: Introductionmentioning

confidence: 99%

Editorial: Molecular level atomistic and structural insights on biological macromolecules, inhibition, and dynamics studies

Selvaraj,

Pedone,

Lee

et al. 2024

Front. Mol. Biosci.

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Section: Introductionmentioning

confidence: 99%

Editorial: Molecular level atomistic and structural insights on biological macromolecules, inhibition, and dynamics studies

Selvaraj,

Pedone,

Lee

et al. 2024

Front. Mol. Biosci.

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“…12 A protein released by tumor cells makes it easier for stromal cells and tumor cells to communicate, which controls tumor development and affects how well clinical cancer therapies work. 13 Cancer secretome, which refers to an entire protein collection secreted via distinct secretory pathways by cancer cells, could represent potential therapeutic targets for a variety of cancers and tumor biomarkers. 14 Several key secretory pathway components and kinase or kinase-like protein related to pathophysiological characteristics of tumors that may be potential therapeutic targets have been reported.…”

Section: Introductionmentioning

confidence: 99%

“…The malfunction of the secretory route is associated with a variety of illnesses, including issues with the protein quality control system, the endoplasmic reticulum/Golgi apparatus or protein secretion 12 . A protein released by tumor cells makes it easier for stromal cells and tumor cells to communicate, which controls tumor development and affects how well clinical cancer therapies work 13 . Cancer secretome, which refers to an entire protein collection secreted via distinct secretory pathways by cancer cells, could represent potential therapeutic targets for a variety of cancers and tumor biomarkers 14 .…”

Section: Introductionmentioning

confidence: 99%

Identification of secretory pathway‐related genes based on Random Forest algorithm to predict the prognosis and immunotherapy response of hepatocellular carcinoma

Wang,

Shi,

Huang

et al. 2023

The Journal of Gene Medicine

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BackgroundThe dysfunction of secretory pathways may represent biomarkers or therapeutic targets of cancer. The hepatocellular carcinoma (HCC) phenotype was studied in relation to the genes in the secretory pathway and to screen for a combination of genes that may be a viable therapeutic target for HCC and connected to the pathophysiological features of the tumor.MethodsUsing the HCC information from The Cancer Genome Atlas, somatic mutation and prognostic association analysis were performed on the secretory pathway genes. Based on prognostic genes in the secretory pathway, the samples were consensus clustered, and a Random Forest model was built. The clinical characteristics, tumor mutation burden, functional status and potential responses to immunotherapy and tumor suppressor medications of various subtypes and risk groups were discussed.ResultsOf the 84 genes for secretory pathway, 32 were prognostic genes related to HCC, which divided HCC into two categories: C1 and C2. By comparing the two types of HCC samples, it was found that the survival outcome of C1 was inferior, with stronger adaptive and innate immunity, but less sensitive to immunotherapy than C2. The constructed prognostic signature included seven of the 32 prognostic genes in the secretory pathway, which showed significant correlation with the prognosis, somatic mutation, biological pathway status, potential response to immunotherapy and sensitivity of 72 tumor suppressor drugs from different HCC cohorts, and had a feasible prognostic effect for 31 types of cancer and immunotherapy cohorts.ConclusionsIn this study, HCC was divided into two molecular subtypes according to prognostic genes in the secretory pathway, and seven of them were combined into one signature, which produced significant results in evaluating the prognosis of different HCC cohorts, pan‐cancer cohorts and immunotherapy cohorts, and had potential guiding significance for prophylactic immunotherapy in patients with HCC.

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Exploring the Role of Chemoinformatics in Accelerating Drug Discovery: A Computational Approach

Murali,

Panwar,

Singh

2023

Methods in Molecular Biology

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Exploring the macromolecules for secretory pathway in cancer disease

Cited by 5 publications

References 86 publications

Editorial: Molecular level atomistic and structural insights on biological macromolecules, inhibition, and dynamics studies

Editorial: Molecular level atomistic and structural insights on biological macromolecules, inhibition, and dynamics studies

Identification of secretory pathway‐related genes based on Random Forest algorithm to predict the prognosis and immunotherapy response of hepatocellular carcinoma

Exploring the Role of Chemoinformatics in Accelerating Drug Discovery: A Computational Approach

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