You have your NGS report in hand — but what about what it doesn't tell you?
Thirteen real cases in which a molecular second opinion changed the treatment decision. The bridge between raw genomic data and an actionable, well-reasoned, patient-specific treatment roadmap.
Prof. Dr. İbrahim Yıldız
Professor of Medical Oncology · Acıbadem · ASCO & ESMO
Author
Prof. Dr. İ. Yıldız
Reviewed
June 2026
Reading time
18 min
Cases
13 de-identified real cases
Today, NGS (Next-Generation Sequencing) tests that map a tumor's genetic profile have become standard in advanced cancer. FoundationOne CDx, Guardant360, Tempus, Caris and other panels produce reports dozens of pages long. But the real clinical challenge is not running the test — it is reading the report correctly, recognizing its gaps and pitfalls, and turning it into a patient-specific treatment roadmap.
An NGS report tells you which mutations are present. But it does not tell you which treatment is or is not appropriate for this particular patient, in what order, and why. This is one of modern oncology's biggest problems: we have more and more data, yet turning that data into a patient-specific decision is left largely to the treating physician.
A report usually provides a list of variants and, at times, drug associations, but it does not prioritize them; it does not distinguish which finding is a true driver and which is a weak or misleading signal; it does not build context around tumor type and treatment line; and it often does not say what should not be done. What's more, while approvals and evidence change within months, the physician is expected to correctly interpret dozens of pages of data in limited time. The result: the same report can lead to an ineffective or inappropriate treatment when misread, or to a life-changing opportunity when read correctly.
A molecular second opinion exists precisely to close this gap: to build the bridge between raw genomic data and an actionable, well-reasoned, patient-specific treatment roadmap.
Summary: the cases at a glance
Below, I share thirteen cases we provided consultation on (with patient identity fully anonymized). Each one matters because it diverges from the standard report at a different decision point.
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Tumor / Context
What the second opinion changed
1
Intrahepatic cholangiocarcinoma
While DNA appeared "clean," an FGFR2 fusion was captured only on RNA → a targeted therapy that would have been missed
2
Hepatobiliary adenocarcinoma (BRAF)
Distinguishing BRAF Class III (G464E) → avoiding the wrong-BRAF-inhibitor trap
3
Low-grade serous ovarian
Endocrine therapy based on hormone receptor positivity instead of an unnecessary, toxic/inaccessible combination; clarity on "what not to do"
4
NSCLC (KRAS G12R)
Identifying the best immunotherapy subgroup in a case thought to be "untargetable"
5
Urothelial / bladder (liquid biopsy)
Three traps in one report: subclonal CHEK2 → PARP rejected, TMB synthesis, FGFR1 amp ≠ erdafitinib
6
Pancreatic (KRAS G12D, 3rd line)
Prioritizing daraxonrasib based on new positive Phase 3 data
7
SMARCA4 (DNA/IHC discrepancy)
Absent on DNA, lost on IHC → epigenetic mechanism; methylation testing recommended
8
Prostate (liquid biopsy)
Putting unprioritized options in the correct order (PTEN/AKT first, not zenocutuzumab)
9
Bladder urothelial (previously treated)
High PD-L1 → immunotherapy priority; PARP rejected due to weak CHEK2; contextualizing off-label MET
10
HER2 (RNA/DNA discrepancy)
Requesting the correct test (IHC/FISH) for anti-HER2 therapy
11
Leiomyosarcoma
Translating an RUO RNA expression signature into a chemotherapy choice
12
RET fusion-positive lung adenocarcinoma
Anticipating SCLC transformation and bypass resistance before treatment begins
13
Colorectal
Correctly interpreting a conflicting MSI-indeterminate result against a low TMB
01Multi-platform integration
The DNA panel said "clean" — yet the most critical target was being missed
Male, in his 40s · intrahepatic cholangiocarcinoma (bile duct cancer)
No targetable mutation was found on the tumor's DNA panel; the report looked almost "empty." Had this result been relied on alone, the patient would have been planned for standard chemotherapy only.
However, RNA-based fusion analysis on the same sample detected a(n) FGFR2 fusion, the direct target of FDA-approved targeted agents (FGFR inhibitors) in bile duct cancer.
Why didn't it appear on DNA? A significant proportion of FGFR2 fusions cannot be captured by a DNA panel because the breakpoint falls in a region not covered by the panel's probes; RNA, however, reveals the fusion directly by reading the mature transcript.
The recommendation that changed the decision
Interpreting multi-platform testing (DNA + RNA) together opened the door to a survival-extending targeted therapy option that would otherwise have been missed entirely. Our recommendation is clear: DNA alone is insufficient in bile duct cancers; RNA fusion analysis should be considered mandatory.
02Subtype and class distinction
Same gene, very different meaning: the BRAF trap
Tumor origin uncertain · hepatobiliary adenocarcinoma harboring a BRAF mutation
The report said "BRAF mutation." The first reflex might be to think of the BRAF inhibitors known from melanoma/colorectal cancer. But this mutation was not the classic BRAF V600E. It was a Class III (non-V600) BRAF mutation (BRAF p.G464E) — a low-kinase-activity subtype that signals through RAS-dependent dimers (CRAF).
As a result, classic (Class I) BRAF inhibitors (vemurafenib, dabrafenib, encorafenib), designed to target V600E monomers, are ineffective against this mutation on their own and may paradoxically activate the MAPK pathway.
The recommendation that changed the decision
We emphasized that classic (Class I) BRAF inhibitors should be avoided in this profile; the rational target is the MEK inhibition axis. We also drew attention to relevant early-phase trial pathways for the accompanying MTAP deletion and ARID1A/KDM6A losses.
Distinguishing the subtype behind a single gene name prevented a misdirected targeted therapy.
03Clarity on "what not to do"
Defining not only "what to do" but explicitly "what not to do"
Young female patient · advanced-stage low-grade serous ovarian cancer
Low-grade serous ovarian cancer is relatively resistant to chemotherapy; the expected benefit from a classic cytotoxic approach is limited. The report showed a dominant KRAS mutation. Standard drug-mutation matching would have highlighted a KRAS-driven MEK/RAF-axis targeted combination, but for this patient that combination was neither accessible nor anything other than unnecessary and toxic.
Our recommendation when standard treatment falls short
Because of the ER and PR expression detected on the RNA layer of the NGS (hormone receptor positivity), we recommended hormonal suppression (endocrine therapy), which is much better tolerated; this choice is supported by the fact that low-grade serous ovarian cancer is often hormone-sensitive. Single-agent MEK inhibitor was also noted as an option.
Immunotherapy not recommended
Immunotherapy was not recommended due to low TMB, MSS status, and PD-L1 negativity.
The brief rationale: in a situation where chemotherapy would not work and a toxic/inaccessible targeted combination was unnecessary, the tumor's own biology (hormone receptor positivity) pointed to the least toxic and most feasible path.
04Positioning the "untargetable"
Correctly positioning a mutation thought to be "untargetable"
Male, in his 60s · non-small cell lung cancer (NSCLC)
The patient had KRAS G12R, a variant with no allele-specific approved drug yet. At first glance it may look "untargetable."
The recommendation that changed the decision
KRAS was accompanied by TP53, and STK11/KEAP1 were absent; this combination defines the molecular subgroup with the best immunotherapy response in KRAS-mutant lung cancer. As a priority, we recommended a first-line chemo-immunotherapy combination, requested that PD-L1 testing be completed urgently, and drew attention to a next-generation pan-RAS inhibitor trial in case of progression.
Molecular interpretation turned a "no target" situation into the insight that "the strongest opportunity is actually immunotherapy."
05Distinguishing a weak signal from a strong one
One report, three different traps
Male, in his 60s · urothelial (bladder) cancer · liquid biopsy (Guardant360)
Let's state it up front: the standard report (Guardant) recommended a PARP inhibitor (olaparib, talazoparib) for this patient based on a CHEK2 alteration. We rejected that recommendation. This case shows how we diverged at three separate decision points within a single report:
1 · We closed off a false-positive PARP path
The CHEK2 alteration's VAF was only 0.6%, far below the tumor fraction (16.2%) — that is, a deeply subclonal signal; the same patient had CHEK2-associated clonal hematopoiesis (CHIP) variants confounding the signal; and there is no CHEK2-based PARP inhibitor approval in urothelial cancer. Outcome: an unnecessary, unsupported targeted therapy was avoided.
2 · We placed an isolated number within the full biology
The standard report left a high TMB value (28.47 mut/Mb) without an associated treatment. We synthesized this, together with ARID1A loss + TERT promoter mutation + urothelial histology, into a biology consistent with — and favoring — immunotherapy, and converted it into a numeric IO-suitability score; we added the caveat that "blood-based TMB is not an analyte validated against tissue; tissue confirmation is recommended."
3 · The most valuable part: we prevented an error
A clinician seeing FGFR1 amplification on the report might reflexively consider erdafitinib. We explicitly cautioned against this: erdafitinib is approved only for FGFR3 mutation or FGFR2/3 fusion; FGFR1 amplification is not eligible (and here the amplification was low-level, with a copy number of ~2.3). Avoiding giving the right drug to the wrong target is the highest-value type of contribution from a safety standpoint.
06Currency of the evidence
The most current evidence: yesterday's standard may not be today's best
Male, age 50 · KRAS G12D pancreatic cancer · 3rd line, liquid biopsy (Guardant360)
The standard NGS report recommended an older/generic MEK-axis combination targeting KRAS (avutometinib + defactinib).
The recommendation that changed the decision
Based on very recently reported positive Phase 3 data for this variant, we prioritized the pan-RAS inhibitor daraxonrasib, which directly targets RAS. In previously treated metastatic pancreatic cancer, this agent showed a significant overall survival advantage over standard chemotherapy (RASolute 302 Phase 3, KRAS G12 mutant population). The drug is still under regulatory review and is accessible through an appropriate clinical trial.
The principle matters: in precision oncology, evidence changes within months; a recommendation must be aligned with the most current Phase 3 literature at the moment the report is written. Standard vendor reports are often not updated at this pace.
07DNA/pathology discrepancy
Resolving the mechanism where DNA and pathology conflict
Patient with detected SMARCA4 protein loss
There was a discrepancy here: DNA sequencing showed no mutation/loss in SMARCA4, while immunohistochemistry (IHC) showed SMARCA4 protein loss.
The recommendation that changed the decision
Rather than glossing over the discrepancy, we explained its mechanism: a protein disappearing without a detectable DNA alteration usually points to epigenetic silencing (promoter methylation) or other mechanisms a panel cannot capture. To resolve the discrepancy, we recommended an additional methylation test. The correct treatment decision can only be made after this confirmation.
This is a textbook example of not falling into the fallacy of "if it's not on the report, it doesn't exist."
08Prioritization
Prioritizing the right finding when there are multiple
Male, in his 70s · prostate cancer · liquid biopsy (Guardant360)
The report contained several alterations at once: AR amplification, PTEN biallelic loss, an FGL1-NRG1 fusion, and a borderline-high blood-based TMB. The standard report listed capivasertib and zenocutuzumab side by side without prioritization; to the physician, the two agents appeared equally weighted.
Establishing the correct order
PTEN biallelic loss → capivasertib (moved to front): a genuinely actionable target that matches the tumor type directly and has Phase 3-level evidence in prostate cancer (AKT pathway inhibition).
Resistance signals
AR amplification was more a marker of resistance than a targetable opportunity. Blood-based TMB was borderline and liquid-derived — a conditional signal requiring tissue confirmation before any standalone immunotherapy decision.
The difference here was not finding a new target; it was doing the prioritization the standard report did not do. Not elevating an option that looks attractive but is inappropriate is also part of this guidance.
09Correct priority + germline distinction
Determining the correct priority in a heavily pretreated patient
Male, in his 70s · bladder urothelial carcinoma · after gemcitabine-platinum and enfortumab vedotin, tumor-only NGS
The standard report pointed simultaneously to a PARP inhibitor (high-VAF CHEK2), an inhibitor for MET amplification, and immunotherapy for high PD-L1 (22C3, CPS 60), but did not prioritize among them.
The recommendation that changed the decision
Given this profile and treatment history, due to the high PD-L1 we prioritized immunotherapy (pembrolizumab). High PD-L1 together with the accompanying ARID1A loss was a strong checkpoint-sensitivity signal; it was the most robust, evidence-based option at this line.
CHEK2 → PARP inhibitor (rejected)
A high VAF does not make a variant a PARP target. CHEK2 p.I157T was a low-penetrance, founder-type missense variant, and at a purity-corrected VAF of ~66% it sat in the heterozygous germline range rather than representing biallelic loss. A PARP inhibitor requires genuine HRD. We placed the high VAF in the context of germline confirmation and genetic counseling and referred the patient to clinical genetics.
MET amplification (placed in context)
MET inhibitors (capmatinib/tepotinib) are approved in NSCLC but are off-label in urothelial cancer; they should be considered only within an appropriate clinical trial, as a later-line option. Also, since FGFR3 was wild-type, erdafitinib was not applicable; given the combined RB1 + TP53 loss, we recommended careful monitoring for neuroendocrine transformation.
10Cross-platform discordance
RNA says "present," DNA says "absent": requesting the right test for HER2
The hepatobiliary case from Case 2, this time from the HER2 decision angle
The same report contained a discrepancy: RNA sequencing showed HER2 (ERBB2) and ERBB3 overexpression, while the DNA panel showed no HER2 amplification.
Why we requested IHC
For anti-HER2 therapy (e.g., ADCs such as trastuzumab deruxtecan), the actionable and approved threshold is not RNA overexpression but the protein level — that is, IHC, supported by FISH when needed. RNA overexpression alone is not a validated biomarker; the only correct way to resolve the discrepancy was to request HER2 IHC/FISH.
If IHC 3+ / FISH+: a door opens to an effective therapy that might otherwise go unnoticed: trastuzumab deruxtecan (tumor-agnostic) or zanidatamab. If not: an unnecessary and ineffective anti-HER2 therapy based on RNA signal alone is avoided.
Cross-platform discordance (RNA, DNA, and protein) is not "confusion"; when managed correctly, it is a decision opportunity.
11Turning expression into action
Translating an RNA expression signature into a chemotherapy choice
The vendor's report listed specific RNA-Seq expression values (TOP2A and CCNE1 high, MGMT low) merely as Research Use Only (RUO) data and drew no treatment recommendation from them. For the clinician, these lines could have remained "numbers that don't tell me what to do."
The recommendation that changed the decision
TOP2A high: the direct target of anthracyclines (doxorubicin); this molecularly supported the already NCCN Category 1 first-line doxorubicin-based regimen.MGMT low: a hypothesis of sensitivity to alkylating agents (dacarbazine/temozolomide); could be considered at a later line.CCNE1 high: the Cyclin E1 / CDK2 axis; a rationale for an appropriate CDK2 inhibitor trial.
A critical note of honesty
This RNA expression data is RUO; there is no validated companion diagnostic test. We did not present these as "proven predictive biomarkers"; we explicitly labeled them as hypothesis-generating biological rationale that prioritizes treatment.
The diagnostic value of RNA fusion analysis was also used: the absence of fusions such as SS18-SSX, EWSR1, and NTRK supported the classification of fusion-negative high-grade leiomyosarcoma.
12Anticipating resistance and transformation
Anticipating resistance and histologic transformation before treatment begins
Metastatic lung adenocarcinoma harboring a RET fusion (CCDC6-RET) · multi-platform Tempus (DNA + RNA)
The first-line treatment is clear: a RET-specific inhibitor (selpercatinib), NCCN Category 1. But the real contribution was a warning that anticipated what would happen down the line, before treatment had even begun.
A prediction that changed monitoring
Monitoring for histologic transformation (SCLC): biallelic TP53 inactivation and RET-driven instability create the groundwork for phenotypic transformation to SCLC. At progression, re-biopsy in case of unexpectedly rapid progression/neuroendocrine features; if transformation is confirmed, carboplatin + etoposide ± atezolizumab (IMpower133).Bypass pathway warning: ERBB3 (HER3) and MET overexpression on RNA-Seq pointed to bypass resistance via PI3K-AKT; an appropriate next-generation agent/trial plan was defined in advance.
The place of IO
Although PD-L1 may look technically eligible, single-agent immunotherapy is not recommended first-line in the presence of a confirmed RET fusion (RET fusion-positive NSCLC is an "immune-cold" phenotype); the RET inhibitor takes priority.
The difference here is proactive: mapping out for the physician, right as treatment begins, the forms resistance might take.
13Resolving a conflicting biomarker
Correctly interpreting the presence of a conflicting biomarker
Metastatic colorectal cancer (biopsy from liver metastasis)
The report returned a "borderline/indeterminate" MSI status. A clinician might read this as a possible MSI-H signal — that is, an immunotherapy opportunity.
The recommendation that changed the decision
We evaluated this signal not in isolation, but together with TMB. TMB was low (5.3 mut/Mb); dMMR/MSI-H is strongly associated with high TMB, so against a low TMB the most likely meaning of an indeterminate MSI result is MSS/pMMR, and it should first be reconfirmed. We nonetheless requested MMR-IHC. The accompanying MUTYH being in the germline range supported a non-hypermutated profile and was flagged for germline counseling.
The difference was checking biological consistency instead of jumping at a single "promising" line, and protecting the patient from being steered toward an immunotherapy that would likely not work.
So why a molecular second opinion? What makes us different?
These thirteen cases show one thing: an NGS report is not a conclusion but a starting point, and the contribution emerges at a different point in each case.
02Distinguishing weak signal from strong: critical evaluation of subclonal/confounded variants. Case 5
03Preventing false-positive treatment: avoiding giving the right drug to the wrong target. Cases 2, 5
04Subtype and class distinction: resolving the clinical difference behind the same gene name. Cases 2, 4
05Currency: alignment with the most current Phase 3 data. Case 6
06Prioritization: choosing the correct target among multiple findings. Cases 8, 9
07Resolving cross-platform discordance: requesting the correct test amid RNA, DNA, and protein conflict. Case 10
08Turning expression into action: translating an RUO RNA signature into a chemotherapy choice. Case 11
09Anticipating resistance and transformation: mapping out histologic transformation and bypass pathway resistance in advance. Case 12
10Resolving a conflicting biomarker: cross-validating an indeterminate MSI result with TMB. Case 13
11Clarity on "what not to do": eliminating ineffective or inappropriate treatments. Cases 3, 5
12A roadmap for when standard treatment is exhausted: guidelines + an appropriate clinical trial + a resistance plan. Cases 3, 4, 6
For the physician and patient, how do we make things easier?
For the treating physician: it condenses dozens of pages of raw data into a line-by-line (1st / 2nd / 3rd line) treatment matrix, a resistance-management plan, and a prioritized action list. Instead of hours of literature review, the decision is backed by a structured summary.
For the patient and family: it provides a clear, well-reasoned answer to the question "What does this test mean for me, what are my options, and why in this order?" Uncertainty is reduced and decisions become shared.
Closing
In modern oncology, the difference often lies not in running the test, but in reading the report correctly. In each of the cases above, the correct interpretation either rescued an opportunity that would have been missed, prevented an unnecessary or wrong treatment, opened a new path where standard treatment had been exhausted, or refreshed the recommendation with the most current evidence.
If you have an NGS report in hand, and the question "are we planning the right treatment, in the right order?" is on your mind, a molecular second opinion exists precisely for this.
The cases in this article have been fully de-identified to protect patient privacy (no name, date of birth, or other identifying information has been shared; ages are given as ranges). The content is for informational purposes only and does not replace individual medical consultation; every treatment decision is the responsibility of the physician evaluating the patient. Some of the agents mentioned (for example, daraxonrasib) are not yet approved for the indication discussed and are accessible only through a clinical trial.
Molecular second opinion
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