racemethionine has been researched along with Glioma in 7 studies
Racemethionine: A preparation of METHIONINE that includes a mixture of D-methionine and L-methionine isomers.
Glioma: Benign and malignant central nervous system neoplasms derived from glial cells (i.e., astrocytes, oligodendrocytes, and ependymocytes). Astrocytes may give rise to astrocytomas (ASTROCYTOMA) or glioblastoma multiforme (see GLIOBLASTOMA). Oligodendrocytes give rise to oligodendrogliomas (OLIGODENDROGLIOMA) and ependymocytes may undergo transformation to become EPENDYMOMA; CHOROID PLEXUS NEOPLASMS; or colloid cysts of the third ventricle. (From Escourolle et al., Manual of Basic Neuropathology, 2nd ed, p21)
| Excerpt | Relevance | Reference |
|---|---|---|
| "Glioma cells have increased intake and metabolism of methionine, which can be monitored with 11 C-L-methionine." | 8.31 | Prognosis prediction based on methionine metabolism genes signature in gliomas. ( Li, F; Mu, Y; Tian, X; Wang, X; Zhang, S; Zhao, AZ; Zhao, X; Zhao, Z; Zhou, S, 2023) |
| "Glioma cells have increased intake and metabolism of methionine, which can be monitored with 11 C-L-methionine." | 4.31 | Prognosis prediction based on methionine metabolism genes signature in gliomas. ( Li, F; Mu, Y; Tian, X; Wang, X; Zhang, S; Zhao, AZ; Zhao, X; Zhao, Z; Zhou, S, 2023) |
| "Histone 3 lysine27-to-methionine (H3-K27M) mutations most frequently occur in diffuse midline gliomas (DMGs) of the childhood pons but are also increasingly recognized in adults." | 4.12 | The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location. ( Agnihotri, S; Alexandrescu, S; Arrillaga-Romany, I; Beck, A; Cotter, JA; Czech, T; Diaz, A; Dun, MD; Englinger, B; Ernst, KJ; Filbin, MG; Findlay, IJ; Gatesman, TA; Geyeregger, R; Gojo, J; Haberler, C; Hack, OA; Halbert, ME; Jeong, D; Jiang, L; Jones, DTW; Koschmann, C; LaBelle, J; Ligon, KL; Liu, I; Madlener, S; Marco Salas, S; Mayr, L; Mire, HM; Monje, M; Nilsson, M; Palova, H; Panditharatna, E; Pokorna, P; Quezada, MA; Resnick, A; Samuelsson, ER; Shaw, ML; Slaby, O; Slavc, I; Sterba, J; Suvà, ML; Svedlund, J; Trissal, M; Vogelzang, J; Yung, WKA, 2022) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 0 (0.00) | 24.3611 |
| 2020's | 7 (100.00) | 2.80 |
| Authors | Studies |
|---|---|
| Liu, I | 2 |
| Jiang, L | 2 |
| Samuelsson, ER | 2 |
| Marco Salas, S | 2 |
| Beck, A | 2 |
| Hack, OA | 2 |
| Jeong, D | 2 |
| Shaw, ML | 2 |
| Englinger, B | 2 |
| LaBelle, J | 2 |
| Mire, HM | 2 |
| Madlener, S | 2 |
| Mayr, L | 2 |
| Quezada, MA | 2 |
| Trissal, M | 2 |
| Panditharatna, E | 2 |
| Ernst, KJ | 2 |
| Vogelzang, J | 2 |
| Gatesman, TA | 2 |
| Halbert, ME | 2 |
| Palova, H | 2 |
| Pokorna, P | 2 |
| Sterba, J | 2 |
| Slaby, O | 2 |
| Geyeregger, R | 2 |
| Diaz, A | 2 |
| Findlay, IJ | 2 |
| Dun, MD | 2 |
| Resnick, A | 2 |
| Suvà, ML | 2 |
| Jones, DTW | 2 |
| Agnihotri, S | 2 |
| Svedlund, J | 2 |
| Koschmann, C | 2 |
| Haberler, C | 2 |
| Czech, T | 2 |
| Slavc, I | 2 |
| Cotter, JA | 2 |
| Ligon, KL | 2 |
| Alexandrescu, S | 2 |
| Yung, WKA | 2 |
| Arrillaga-Romany, I | 2 |
| Gojo, J | 2 |
| Monje, M | 2 |
| Nilsson, M | 2 |
| Filbin, MG | 2 |
| Yokogami, K | 1 |
| Kikuchi, T | 1 |
| Watanabe, T | 1 |
| Nakatake, Y | 1 |
| Yamashita, S | 1 |
| Mizuguchi, A | 1 |
| Takeshima, H | 1 |
| Zhao, X | 2 |
| Li, D | 1 |
| Qiao, Z | 1 |
| Wang, K | 1 |
| Chen, Q | 1 |
| Pan, C | 1 |
| Wu, Y | 1 |
| Xiao, D | 1 |
| Xi, T | 1 |
| Zhang, L | 1 |
| Ai, L | 1 |
| Upadhyayula, PS | 1 |
| Higgins, DM | 1 |
| Mela, A | 1 |
| Banu, M | 1 |
| Dovas, A | 1 |
| Zandkarimi, F | 1 |
| Patel, P | 1 |
| Mahajan, A | 1 |
| Humala, N | 1 |
| Nguyen, TTT | 1 |
| Chaudhary, KR | 1 |
| Liao, L | 1 |
| Argenziano, M | 1 |
| Sudhakar, T | 1 |
| Sperring, CP | 1 |
| Shapiro, BL | 1 |
| Ahmed, ER | 1 |
| Kinslow, C | 1 |
| Ye, LF | 1 |
| Siegelin, MD | 1 |
| Cheng, S | 1 |
| Soni, R | 1 |
| Bruce, JN | 1 |
| Stockwell, BR | 1 |
| Canoll, P | 1 |
| Takita, H | 1 |
| Matsumoto, T | 1 |
| Tatekawa, H | 1 |
| Katayama, Y | 1 |
| Nakajo, K | 1 |
| Uda, T | 1 |
| Mitsuyama, Y | 1 |
| Walston, SL | 1 |
| Miki, Y | 1 |
| Ueda, D | 1 |
| Inoue, A | 1 |
| Watanabe, H | 1 |
| Kusakabe, K | 1 |
| Nishikawa, M | 1 |
| Shiraishi, Y | 1 |
| Taniwaki, M | 1 |
| Takimoto, Y | 1 |
| Harada, M | 1 |
| Furumochi, T | 1 |
| Shigekawa, S | 1 |
| Kitazawa, R | 1 |
| Kido, T | 1 |
| Ohnishi, T | 1 |
| Kunieda, T | 1 |
| Zhou, S | 1 |
| Zhang, S | 1 |
| Tian, X | 1 |
| Wang, X | 1 |
| Mu, Y | 1 |
| Li, F | 1 |
| Zhao, AZ | 1 |
| Zhao, Z | 1 |
7 other studies available for racemethionine and Glioma
| Article | Year |
|---|---|
The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location.
Topics: Child; Glioma; Histones; Humans; Methionine; Mutation; Racemethionine; Tumor Microenvironment | 2022 |
The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location.
Topics: Child; Glioma; Histones; Humans; Methionine; Mutation; Racemethionine; Tumor Microenvironment | 2022 |
The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location.
Topics: Child; Glioma; Histones; Humans; Methionine; Mutation; Racemethionine; Tumor Microenvironment | 2022 |
The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location.
Topics: Child; Glioma; Histones; Humans; Methionine; Mutation; Racemethionine; Tumor Microenvironment | 2022 |
Methionine regulates self-renewal, pluripotency, and cell death of GIC through cholesterol-rRNA axis.
Topics: Cell Death; Cholesterol; Glioma; Humans; Methionine; Neoplasm Recurrence, Local; Neoplastic Stem Cel | 2022 |
Topics: Brain Neoplasms; Child; Diffuse Intrinsic Pontine Glioma; Glioma; Humans; Methionine; Mutation; Posi | 2023 |
Dietary restriction of cysteine and methionine sensitizes gliomas to ferroptosis and induces alterations in energetic metabolism.
Topics: Animals; Cysteine; Ferroptosis; Glioma; Humans; Methionine; Mice; Proteomics; Racemethionine | 2023 |
AI-based Virtual Synthesis of Methionine PET from Contrast-enhanced MRI: Development and External Validation Study.
Topics: Artificial Intelligence; Brain Neoplasms; Female; Glioma; Humans; Magnetic Resonance Imaging; Male; | 2023 |
Role of amide proton transfer imaging in maximizing tumor resection in malignant glioma: a possibility to take the place of
Topics: Amides; Brain Neoplasms; Glioblastoma; Glioma; Humans; Magnetic Resonance Imaging; Methionine; Posit | 2023 |
Prognosis prediction based on methionine metabolism genes signature in gliomas.
Topics: Glioma; Humans; Methionine; Prognosis; Racemethionine; Reproducibility of Results | 2023 |