Sinapsos Podcast | Oncology

By Sinapsos Podcast

Zero Fluff. Pure Insight.

Get the latest scientific research without the small talk. We dive deep into new publications to give you clear, information-packed summaries—no fi

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FAQs about Sinapsos Podcast | Oncology:

How many episodes does Sinapsos Podcast | Oncology have?

The podcast currently has 51 episodes available.

Sinapsos Podcast | Oncology episodes:

January 20, 2026E16 - Prostate Cancer Surveillance
E16 | 12 min | Latest | Publication Link
Podcast based on: Sandhu, K.; Lophatananon, A.; Gnanapragasam, V.J. The Impact of Endpoint Definitions on Predictors of Progression in Active Surveillance for Early Prostate Cancer. Cancers 2026, 18, 292. https://doi.org/10.3390/cancers18020292
Type: Article | Publication date: 17 January 2026

Summary: Active surveillance (AS) is a critically important management strategy for men with favourable-prognosis prostate cancer. However, there is no standardised or internationally agreed-upon definition of a disease progression endpoint for when AS should stop. This has led to uncertainty regarding which baseline variables reliably predict progression. In the literature, there has also been a multitude of proposed biopsy and imaging metrics that are purported to predict AS progression. We utilised the STRATified CANcer Surveillance (STRATCANs) prospective AS database to assess the utility of different clinicopathological variables in predicting progression and against different contemporary AS endpoint definitions. In this study, we found that the AS endpoint definition appears to determine which variables predict progression. Neither the addition of biopsy nor imaging metrics added consistent incremental value in better predicting progression events. PSA density, in contrast, consistently predicted progression events across different endpoint definitions.

Keywords: prostate cancer; active surveillance; STRATCANs; Cambridge prognostic group

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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12min
January 18, 2026E16 - Prostate Cancer Surveillance
E16 | 12 min | Latest | Publication Link
Podcast based on: Sandhu, K.; Lophatananon, A.; Gnanapragasam, V.J. The Impact of Endpoint Definitions on Predictors of Progression in Active Surveillance for Early Prostate Cancer. Cancers 2026, 18, 292. https://doi.org/10.3390/cancers18020292
Type: Article | Publication date: 17 January 2026

Summary: Active surveillance (AS) is a critically important management strategy for men with favourable-prognosis prostate cancer. However, there is no standardised or internationally agreed-upon definition of a disease progression endpoint for when AS should stop. This has led to uncertainty regarding which baseline variables reliably predict progression. In the literature, there has also been a multitude of proposed biopsy and imaging metrics that are purported to predict AS progression. We utilised the STRATified CANcer Surveillance (STRATCANs) prospective AS database to assess the utility of different clinicopathological variables in predicting progression and against different contemporary AS endpoint definitions. In this study, we found that the AS endpoint definition appears to determine which variables predict progression. Neither the addition of biopsy nor imaging metrics added consistent incremental value in better predicting progression events. PSA density, in contrast, consistently predicted progression events across different endpoint definitions.

Keywords: prostate cancer; active surveillance; STRATCANs; Cambridge prognostic group

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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12min
January 18, 2026E15 - Prehabilitation in Cancer Care
E15 | 10 min | Latest | Publication Link
Podcast based on: Kwan, D.; Kwan, W.; Badwal, A.; Puol, T.; Deng, J.Z.; Wang, R.; Ahmed, S.; Mansfield, A.; Fazelzad, R.; Jones, J. Prehabilitation in Adult Cancer Patients Undergoing Chemotherapy or Radiotherapy: A Scoping Review. Cancers 2026, 18, 286. https://doi.org/10.3390/cancers18020286
Type: Review | Publication date: 16 January 2026

Summary: Individuals undergoing cancer treatment often experience side effects like fatigue, muscle loss, and mood changes that can reduce their ability to carry out daily activities. In surgical settings, giving patients a prehabilitation program involving exercise, nutrition, and psychological support prior to treatment helps preserve their strength and quality of life, yet its use for non-surgical treatments remains largely unexamined. Our review therefore examines research on prehabilitation before non-surgical treatments, such as chemotherapy and radiotherapy, to see what kinds of programs exist, how feasible they are, and which patient groups benefit. By mapping the evidence and identifying gaps, we aim to guide clinicians and researchers toward designing better pre-treatment support programs and highlight the need for longer-term trials in diverse and older populations.

Keywords: prehabilitation; cancer; chemotherapy; radiotherapy; non-surgical treatment

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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10min
January 18, 2026E14 - Ultrasound in Skin Cancer
E14 | 10 min | Latest | Publication Link
Podcast based on: Szalai, K.; Tóth, K.; Hársing, J.; Gyöngy, M.; Holló, P. High-Frequency Ultrasound Assessment of Basal Cell Carcinoma: Correlations Between Histopathological Subtype, Vascularity, and Age/Sex Distribution. Cancers 2026, 18, 274. https://doi.org/10.3390/cancers18020274
Type: Article | Publication date: 15 January 2026

Summary: Basal cell carcinoma is the most common type of skin cancer and usually grows slowly, but some forms can behave more aggressively. High-frequency ultrasound (HFUS) is a non-invasive imaging method that supports the preoperative evaluation of basal cell carcinoma. In this study, ultrasound contour and vascularity patterns showed a strong association with histological subtype, enabling reliable differentiation between solid and infiltrative tumours. Solid lesions were typically well-defined and hypervascular, whereas infiltrative tumours more often showed irregular margins and reduced vascularity. HFUS therefore represents a valuable adjunct to dermatoscopy for treatment planning and postoperative follow-up.

Keywords: ultrasound; BCC; HFUS; oncology

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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10min
January 18, 2026E13 - Glioma Margin Assessment
E13 | 11 min | Latest | Publication Link
Podcast based on: Tykocki, T.; Rakasz, Ł. Intraoperative Spectroscopic and Mass Spectrometric Assessment of Glioma Margins: A Systematic Review and Meta-Analysis. Cancers 2026, 18, 263. https://doi.org/10.3390/cancers18020263
Type: Systematic Review | Publication date: 14 January 2026

Summary: Maximal safe removal of gliomas is crucial for improving patient survival, yet surgeons often face difficulty distinguishing tumor tissue from normal brain tissue during surgery. Traditional frozen-section analysis is accurate but slow and disrupts operative workflow. This systematic review and meta-analysis evaluated three emerging, label-free intraoperative technologies—Raman spectroscopy, mass spectrometry, and optical coherence tomography—that provide real-time biochemical or structural information to guide tumor resection. By analyzing 24 human studies involving nearly 1800 patients, we found that these techniques achieve high diagnostic accuracy in identifying tumor tissue, infiltrated margins, and key molecular features such as IDH mutation status. Raman spectroscopy and mass spectrometry showed the strongest overall performance, outperforming optical coherence tomography. Importantly, these methods offer rapid, objective feedback without interrupting surgery, supporting more precise glioma resection. Our findings indicate that real-time spectroscopic and molecular diagnostics are ready for broader clinical integration and may enhance surgical decision-making in modern neuro-oncology.

Keywords: glioma; Raman spectroscopy; mass spectrometry; optical coherence tomography; intraoperative diagnostics; IDH mutation

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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11min
January 18, 2026E12 - Endometrial Cancer Classification
E12 | 10 min | Latest | Publication Link
Podcast based on: Restaino, S.; Pellecchia, G.; Arcieri, M.; Mariuzzi, L.; Orsaria, M.; Tulisso, A.; Cesselli, D.; Bulfoni, M.; Poli, A.; Paparcura, F.; Bogani, G.; Mariani, A.; Zannoni, G.; Scambia, G.; Vizzielli, G. Alignment of Molecular Classification Between Diagnosis and Recurrence in Endometrial Cancer: Lessons from a Single-Institution Experience to Inform Future Pathways. Cancers 2026, 18, 247. https://doi.org/10.3390/cancers18020247
Type: Article | Publication date: 13 January 2026

Summary: Endometrial cancer treatment and prognosis have greatly improved thanks to advances in understanding its molecular profile. However, it is still unclear whether these molecular characteristics remain stable over time, particularly when the disease returns after initial treatment. This study explores the concordance and potential evolution of molecular classification between primary diagnosis and recurrence in endometrial cancer, building upon emerging evidence that has begun to address this question. This study explores the concordance and potential evolution of molecular classification between primary diagnosis and recurrence in endometrial cancer, building upon emerging evidence that has begun to address this question. By examining this relationship, our research provides valuable preliminary data that could guide future studies on the biological behavior of recurrent disease. These insights may ultimately contribute to more precise and personalized treatment strategies for patients with endometrial cancer.

Keywords: molecular biology; endometrial cancer; recurrence

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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10min
January 18, 2026E11 - Fibroblasts in Pancreatic Cancer
E11 | 12 min | Latest | Publication Link
Podcast based on: Rupert, J.; Cai, L.; Daquinag, A.C.; Anastassiou, D.; Kolonin, M.G. Adipose Stromal Cell-Derived Cancer-Associated Fibroblasts Promote Pancreatic Adenocarcinoma Progression Through SFRP4 Signaling. Cancers 2026, 18, 233. https://doi.org/10.3390/cancers18020233
Type: Article | Publication date: 12 January 2026

Summary: Cancer-associated fibroblasts (CAFs) promote the progression of pancreatic ductal adenocarcinoma by remodeling the microenvironment toward tumor growth, invasion, and metastasis. A sub-population of CAFs originates from adipose stromal cells in adjacent fat tissue through mechanisms that are not well understood. Using co-cultures of human adipose stromal cells with pancreatic cancer cells and a mouse model of pancreatic cancer, we found that tumor cells induce Wnt and TGFβ signaling and extracellular matrix gene expression in adipose stromal cells. We discovered that two important genes, the long non-coding RNA LINC01614 and the Wnt signaling modulator SFRP4, are required for this transition. Loss of SFRP4 reduced cancer cell migration, growth, and metastasis, suggesting that SFRP4 is a promising therapeutic target inhibiting the transition.

Keywords: cancer; tumor microenvironment; metastasis; pancreas; fibroblast; stromal; adipose; LINC01614; SFRP4; Wnt; TGF; SMAD

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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12min
January 18, 2026E10 - Breathprints for Breast Cancer Risk
E10 | 11 min | Latest | Publication Link
Podcast based on: Masilamani, A.P.; Hooper, J.K.; Rahman, M.H.; Philip, R.; Kaushik, P.; Graham, G.; Yockell-Lelievre, H.; Khomami Abadi, M.; Meterissian, S.H. Breathprints for Breast Cancer: Evaluating a Non-Invasive Approach to BI-RADS 4 Risk Stratification in a Preliminary Study. Cancers 2026, 18, 226. https://doi.org/10.3390/cancers18020226
Type: Article | Publication date: 11 January 2026

Summary: Breast cancer screening often identifies findings that are suspicious but uncertain, especially those labeled as BI-RADS 4. While doctors usually recommend a biopsy for these cases, most turn out to be benign, meaning many women go through an invasive procedure unnecessarily. This study explored whether a simple breath test could help better identify high-risk patients. By analyzing patterns of natural chemicals in exhaled breath, we trained a computer model to distinguish between cancerous and non-cancerous findings. The model was able to correctly identify most cancers while also giving strong reassurance when no cancer was present. These results suggest that a breath test could be used alongside mammography to provide patients and doctors with clearer information. If confirmed in larger studies, this approach could spare many women from unnecessary biopsies, lower healthcare costs, and improve trust in breast cancer screening.

Keywords: breast cancer; BI-RADS 4; breath analysis; volatile organic compounds (VOCs); digital olfaction (electronic nose); chemiresistive sensor array; machine learning; multi-modal fusion; autoencoder; risk stratification; rule-out diagnostics

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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11min
January 11, 2026E9 - Radiation-Induced Mesothelioma
E9 | 10 min | Latest | Publication Link
Podcast based on: Fujita, N.; Fujita, K.; Osumi, H.; Takefuji, Y. The Diagnostic Trap in Radiation-Induced Mesothelioma: Kinetic-Morphological Decoupling Masks Molecular Aggression. Cancers 2026, 18, 221. https://doi.org/10.3390/cancers18020221
Type: Article | Publication date: 09 January 2026

Summary: Typically, the microscopic appearance of a tumor predicts its biological aggression. However, in malignant pleural mesothelioma caused by radiation, our analysis of 20 rare cases without asbestos exposure suggests that this rule can be clinically deceptive. In this cohort, the intensity of radiotherapy doses appears to shape how the cancer evolves: moderate doses were associated with gradual, age-dependent latent periods, while high doses were associated with rapid, aggressive onset. Paradoxically, these aggressive high-dose tumors retained an indolent-appearing morphology, presenting a potential diagnostic trap that masks their true nature. We propose that reviewing a patient’s radiotherapy history could help expose this discrepancy, potentially guiding risk-stratified precision therapy.

Keywords: malignant pleural mesothelioma; radiation-induced cancer; kinetic-morphological decoupling; diagnostic trap; CDK4/6 inhibitors; ; chromothripsis; tumor suppressor genes; precision medicine; therapeutic stratification; CSU Beagle Study

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
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10min
January 11, 2026E8 - Autophagy in Cancer Cell Death
E8 | 14 min | Latest | Publication Link
Podcast based on: Matsushita, M.; Moriwaki, M. Autophagy Modulates Immunogenic Cell Death in Cancer. Cancers 2026, 18, 205. https://doi.org/10.3390/cancers18020205
Type: Review | Publication date: 08 January 2026

Summary: Immunogenic cell death (ICD) is a form of regulated cell death that could change a “cold” tumor into an immune-inflamed “hot” tumor by exposing and releasing damage-associated molecular patterns (DAMPs). Recent works indicate that autophagy can either facilitate or inhibit ICD, depending on the context and which step of the pathway is targeted. In this review, we summarize the current knowledge on the autophagy–ICD axis in various kinds of cancer, and we then focus on hematological malignancies, especially multiple myeloma, in which autophagy and ICD play important roles. We propose how the phase-specific modulation of autophagy could be exploited to design novel immunogenic chemotherapy combinations and improve cellular immunotherapies.

Keywords: autophagy; immunogenic cell death; damage-associated molecular patterns; tumor microenvironment; multiple myeloma

Disclaimer:
This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.
...more
14min

FAQs about Sinapsos Podcast | Oncology:

How many episodes does Sinapsos Podcast | Oncology have?

The podcast currently has 51 episodes available.