Adv Exp Med Biol

1. GENG Z, Wu L, Wang Q, Ma J, et al
   Non B Cell-Derived Immunoglobulins in Intestinal Tract.
   Adv Exp Med Biol. 2024;1445:137-149.
   

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   Ann Surg Oncol

2. BHUTIANI N, Ochiai K, Awiwi MO, Rodriguez-Bigas MA, et al
   ASO Visual Abstract: Para-aortic Lymph Node Dissection for Colorectal Cancer-Predicting Pathologic Lymph Node Positivity and Optimizing Outcomes.
   Ann Surg Oncol. 2024 Jun 29. doi: 10.1245/s10434-024-15690.
   

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   BMC Cancer

3. LIU X, Wang Y, Wang W, Dong H, et al
   The association between systemic immune-inflammation index and cardiotoxicity related to 5-Fluorouracil in colorectal cancer.
   BMC Cancer. 2024;24:782.
   

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   Cancer Lett

4. LUO XJ, Lu YX, Wang Y, Huang R, et al
   M6A-modified lncRNA FAM83H-AS1 promotes colorectal cancer progression through PTBP1.
   Cancer Lett. 2024 Jul 2:217085. doi: 10.1016/j.canlet.2024.217085.
   

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5. RICHIARDONE E, Al Roumi R, Lardinois F, Giolito MV, et al
   MCT1-dependent lactate recycling is a metabolic vulnerability in colorectal cancer cells upon acquired resistance to anti-EGFR targeted therapy.
   Cancer Lett. 2024 Jul 2:217091. doi: 10.1016/j.canlet.2024.217091.
   

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   Dis Colon Rectum

6. AGNES A, Nguyen S, Konishi T, Peacock O, et al
   Early Postoperative Prediction of Complications and Readmission After Colorectal Cancer Surgery Using an Artificial Neural Network.
   Dis Colon Rectum. 2024 Jul 3. doi: 10.1097/DCR.0000000000003253.
   

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   Eur J Cancer

7. ANDERSEN L, Kisistok J, Henriksen TV, Bramsen JB, et al
   Exploring the biology of ctDNA release in colorectal cancer.
   Eur J Cancer. 2024;207:114186.
   

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   Eur J Surg Oncol

8. JAMES AL, Lattimore CM, Cramer CL, Mubang ET, et al
   The impact of geriatric-specific variables on long-term outcomes in patients with hepatopancreatobiliary and colorectal cancer selected for resection.
   Eur J Surg Oncol. 2024;50:108509.
   

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9. AWAIS AR, Manzoor I, Mansoor M
   Harnessing machine learning to predict colorectal cancer metastasis: A promising artificial intelligence frontier.
   Eur J Surg Oncol. 2024 Jun 26:108493. doi: 10.1016/j.ejso.2024.108493.
   

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10. GUO Z, Zhang Z
    Reply to "Harnessing machine learning to predict colorectal cancer metastasis: A promising artificial intelligence frontier".
    Eur J Surg Oncol. 2024 Jun 18:108492. doi: 10.1016/j.ejso.2024.108492.
    

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    Gastroenterology

11. FORBES N
    Stool-based and Blood-based Colorectal Cancer Screening Tests: New Evidence within Current Context.
    Gastroenterology. 2024 Jun 27:S0016-5085(24)05175.
    

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    Hum Pathol

12. CHALLA B, Frankel WL, Knight D, Pearlman R, et al
    EPM2AIP1 Immunohistochemistry Is Inadequate as A Surrogate Marker for MLH1 Promoter Hypermethylation Testing in Colorectal Cancer.
    Hum Pathol. 2024 Jun 28:S0046-8177(24)00125.
    

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    Int J Colorectal Dis

13. MAO J, He Y, Chu J, Hu B, et al
    Analysis of clinical characteristics of mismatch repair status in colorectal cancer: a multicenter retrospective study.
    Int J Colorectal Dis. 2024;39:100.
    

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14. DAUNGSUPAWONG H, Wiwanitkit V
    RE: Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery.
    Int J Colorectal Dis. 2024;39:101.
    

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    J Surg Oncol

15. VAZ DA SILVA DG, de Ribeiro HSC, Dos Santos GO, Lindote MVN, et al
    Dense tumor-infiltrating lymphocytes (TILs) in liver metastasis from colorectal cancer are related to improved overall survival.
    J Surg Oncol. 2024 Jul 1. doi: 10.1002/jso.27759.
    

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    Oncology

16. ALKAN A, Doganer GI, Tanriverdi O
    Serum Uric Acid Level May Be A Predictive Factor For BRAF V600E Mutation In Older Patients With Metastatic Colorectal Cancer: An Exploratory Analysis.
    Oncology. 2024 Jun 27. doi: 10.1159/000539981.
    

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