Immunotherapy in melanoma: Can we predict response to treatment with circulating biomarkers?

被引:11
|
作者
Splendiani, Elena [1 ]
Besharat, Zein Mersini [1 ]
Covre, Alessia [2 ,3 ]
Maio, Michele [2 ,3 ]
Di Giacomo, Anna Maria [2 ,3 ]
Ferretti, Elisabetta [1 ]
机构
[1] Sapienza Univ, Dept Expt Med, Rome, Italy
[2] Univ Hosp Siena, Ctr Immuno Oncol Med Oncol & Immunotherapy, Dept Oncol, I-53100 Siena, Italy
[3] Univ Siena, Dept Mol & Dev Med, Med Oncol, I-53100 Siena, Italy
关键词
Melanoma; Immune checkpoint inhibitors; Immunotherapy response; Liquid biopsy; Circulating biomarkers; PERIPHERAL-BLOOD; TUMOR-CELLS; CANCER;
D O I
10.1016/j.pharmthera.2024.108613
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Melanoma is the most aggressive form of skin cancer, representing approximately 4% of all cutaneous neoplasms and accounting for up to 80% of deaths. Advanced stages of melanoma involve metastatic processes and are associated with high mortality and morbidity, mainly due to the rapid dissemination and heterogeneous responses to current therapies, including immunotherapy. Immune checkpoint inhibitors (ICIs) are currently used in the treatment of metastatic melanoma (MM) and despite being linked to an increase in patient survival, a high percentage of them still do not bene fit from it. Accordingly, the number of therapeutic regimens for MM patients using ICIs either alone or in combination with other therapies has increased, together with the need for reliable biomarkers that can both predict and monitor response to ICIs. In this context, circulating biomarkers, such as DNA, RNA, proteins, and cells, have emerged due to their ability to re flect disease status. Moreover, blood tests are minimally invasive and provide an attractive option to detect biomarkers, avoiding stressful medical procedures. This systematic review aims to evaluate the possibility of a non-invasive biomarker signature that can guide therapeutic decisions. The studies reported here offer valuable insight into how circulating biomarkers can have a role in personalized treatments for melanoma patients receiving ICIs therapy, emphasizing the need for rigorous clinical trials to con firm findings and establish standardized procedures. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY -NC -ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Circulating MicroRNAs: functional biomarkers for melanoma prognosis and treatment
    Lim, Su Yin
    Boyd, Suzanah C.
    Diefenbach, Russell J.
    Rizos, Helen
    MOLECULAR CANCER, 2025, 24 (01)
  • [32] THE USE OF BIOMARKERS IN THE DIAGNOSIS AND TREATMENT OF OVERACTIVE BLADDER: CAN WE PREDICT THE PATIENTS WHO WILL BE RESISTANT TO TREATMENT?
    Alkis, O.
    Zumrutbas, A. E.
    Toktas, C.
    Aybek, H.
    Aybek, Z.
    NEUROUROLOGY AND URODYNAMICS, 2015, 34 : S359 - S360
  • [33] The Use of Biomarkers in the Diagnosis and Treatment of Overactive Bladder: Can We Predict the Patients Who Will be Resistant to Treatment?
    Alkis, Okan
    Zumrutbas, Ali Ersin
    Toktas, Cihan
    Aybek, Hulya
    Aybek, Zafer
    NEUROUROLOGY AND URODYNAMICS, 2017, 36 (02) : 390 - 393
  • [34] Favipiravir for the treatment of COVID-19 pneumonia: Can we predict the response to treatment?
    Sayiner, Abdullah
    Erdem, Huseyin Aytac
    Ekren, Pervin Korkmaz
    Tasbakan, Sezai
    Basoglu, Ozen K.
    Tasbakan, Meltem Isikgoz
    Yamazhan, Tansu
    Gokengin, Deniz
    Ozhan, Mustafa Hikmet
    JOURNAL OF INFECTION IN DEVELOPING COUNTRIES, 2022, 16 (03): : 422 - 426
  • [35] Can We Predict Response to Short-Course Radiotherapy in Rectal Cancer Using Biomarkers?
    Nicholls, J. D.
    Tinkler-Hundal, E.
    Hemmings, G. J.
    Sebag-Montefiore, D.
    Quirke, P.
    West, N. P.
    JOURNAL OF PATHOLOGY, 2013, 231 : 16 - 16
  • [36] CIRCULATORY PLASMA PROTEOMIC BIOMARKERS PREDICT RESPONSE TO IMMUNOTHERAPY IN MELANOMA PATIENTS AND REVEAL BIOLOGICAL INSIGHTS INTO THE TUMOR MICROENVIRONMENT
    Mehta, Arnav
    Rucevic, Marijana
    Sprecher, Emmett
    Hacohen, Nir
    Boland, Genevieve
    Parikh, Milan
    Chen, Jiajia
    Frederick, Dennie
    Woods, Elliot
    Bi, Lynn
    Lieb, David
    Hultin-Rosenberg, Lina
    Guess, Jamey
    Park, Ryan
    Schneider, Alexis
    Michaud, William
    Miao, Benchun
    Kasumova, Gyulnara
    Kim, Michelle
    Bai, Xue
    Jenkins, Russell
    Klempner, Samuel
    Gonye, Anna
    Yizhak, Keren
    Sade-Feldman, Moshe
    Liu, David
    Sullivan, Ryan
    Flaherty, Keith
    JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2022, 10 : A163 - A163
  • [37] Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy
    Olekhnovich, Evgenii I. I.
    Ivanov, Artem B. B.
    Babkina, Anna A. A.
    Sokolov, Arseniy A. A.
    Ulyantsev, Vladimir I. I.
    Fedorov, Dmitry E. E.
    Ilina, Elena N. N.
    MSYSTEMS, 2023, 8 (02)
  • [38] Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?
    Labermaier, Christiana
    Masana, Merce
    Mueller, Marianne B.
    DISEASE MARKERS, 2013, 2013 : 23 - 31
  • [39] Discussion about the presentation: "Biomarkers predictive of response to immunotherapy in melanoma"
    Tartour, Eric
    BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE, 2023, 207 (06): : 829 - 831
  • [40] CAN WE PREDICT THE RESPONSE FOR INDIVIDUAL PATIENTS?
    Kalviainen, R.
    EPILEPSIA, 2009, 50 : 28 - 28